CN115660303A - Regional energy Internet planning method and device - Google Patents

Regional energy Internet planning method and device Download PDF

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CN115660303A
CN115660303A CN202210850889.7A CN202210850889A CN115660303A CN 115660303 A CN115660303 A CN 115660303A CN 202210850889 A CN202210850889 A CN 202210850889A CN 115660303 A CN115660303 A CN 115660303A
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biomass
resource utilization
energy
index
regional
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周莉梅
孟晓丽
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尚宇炜
王冠璎
范闻博
熊海轩
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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China Electric Power Research Institute Co Ltd CEPRI
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Abstract

The invention relates to the technical field of energy Internet planning, and particularly provides a regional energy Internet planning method and device, which comprise the following steps: acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme evaluation index system constructed in advance in the region biomass resource utilization scheme; determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index; selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes, and performing energy Internet planning on the region by using the optimal regional biomass resource utilization scheme; according to the technical scheme provided by the invention, feasible schemes of biomass resource utilization are obtained in a sequencing and preferential manner according to the comprehensive value, and the optimal energy Internet planning based on the biomass resource utilization scheme is realized.

Description

一种区域能源互联网规划方法及装置A regional energy internet planning method and device

技术领域technical field

本发明涉及能源互联网规划技术领域,具体涉及一种区域能源互联网规划方法及装置。The invention relates to the technical field of energy internet planning, in particular to a regional energy internet planning method and device.

背景技术Background technique

随着现代化的发展,各类农业产业以及居民生活的用能需求趋向多元化、高效化以及清洁化,用能需求量也明显增加。能源供应作为重要的基础设施和公共服务,能源互联网、多能供给系统的规划与建设是实现经济、清洁、高效供用能技术手段。With the development of modernization, the energy demand of various agricultural industries and residents' life tends to be diversified, efficient and clean, and the energy demand has also increased significantly. As energy supply is an important infrastructure and public service, the planning and construction of Energy Internet and multi-energy supply system are technical means to realize economical, clean and efficient energy supply and utilization.

目前,对于能源互联网、多能供给系统的规划与建设方面,在资源、能源利用方面存在用能场景差异大、用能需求差异大、能源资源差异大、资源利用能力差异大等特点,如何立足自身资源禀赋,实现经济、清洁、高效供用能是亟待解决的问题。此外,在用能低碳化的趋势下,充分、高效利用养殖蓄粪、农作物秸秆和居民生活垃圾等生物质能源势在必行。用能包括生产用能、生活用能及公共服务设施用能,包括用电需求、用气需求、用热需求、用冷需求等能源形式,能源来源主要为商品能,如电能、燃油、天然气、煤炭、焦炭等。农业生产和生活会产生大量的生物质废弃物,充分利用其中蕴含的生物质能不仅能为提供电/气/热/冷供给,还可有效降低生物质废弃物对环境的损害。可利用的生物质资源主要包括秸秆、薪柴、禽畜粪、生活垃圾等生物质废弃物。生物质资源按照能源利用效率和环境影响可划分为低效利用、中效利用及高效利用三类:薪柴、秸秆、畜粪的直接燃烧供能和垃圾直接填埋处理是成本最低的生物质能利用和处理模式,能量转化率低且环境污染严重,属于低效利用;生物质沼气化、秸秆气化、秸秆固化成型、秸秆炭化等转化为现代生物质燃料的利用和处理模式,能有有效提升能量转化率和降低环境污染,属于中效利用;利用生物质沼气、可燃性垃圾等发电、热电联供、热电冷联供方式供能,能量转化率高,污染排放少,属于高效清洁利用。我国地域广阔、典型用能场景多样,生物质资源种类和储量差异很大,加之各地环境条件和社会经济水平不同,生物质资源的利用方式也存在多种选择。At present, with regard to the planning and construction of energy Internet and multi-energy supply system, in terms of resource and energy utilization, there are large differences in energy use scenarios, large differences in energy demand, large differences in energy resources, and large differences in resource utilization capabilities. How to gain a foothold? It is an urgent problem to be solved to realize economical, clean, and efficient energy supply and use due to its own resource endowment. In addition, under the trend of low-carbon energy consumption, it is imperative to make full and efficient use of biomass energy such as livestock manure, crop straw, and household waste. Energy consumption includes production energy, domestic energy consumption and energy consumption of public service facilities, including electricity demand, gas demand, heat demand, cooling demand and other energy forms. The energy source is mainly commercial energy, such as electric energy, fuel oil, natural gas , coal, coke, etc. Agricultural production and life will produce a large amount of biomass waste. Making full use of the biomass energy contained in it can not only provide electricity/gas/heat/cold supply, but also effectively reduce the damage of biomass waste to the environment. Usable biomass resources mainly include biomass waste such as straw, firewood, poultry and livestock manure, and household garbage. Biomass resources can be divided into three categories according to energy utilization efficiency and environmental impact: low-efficiency utilization, medium-efficiency utilization and high-efficiency utilization: direct combustion of firewood, straw, and livestock manure for energy supply and direct landfill disposal of waste are the lowest-cost biomass Energy utilization and processing mode, low energy conversion rate and serious environmental pollution, belong to low-efficiency utilization; biomass biogasification, straw gasification, straw solidification molding, straw carbonization, etc. Effectively improve the energy conversion rate and reduce environmental pollution, which belongs to medium-efficiency utilization; use biomass methane, combustible garbage, etc. to generate electricity, combined heat and power, and combined heat, power and cooling for energy supply, with high energy conversion rate and low pollution emissions, which belongs to high efficiency and cleanliness use. my country has a vast territory, diverse typical energy use scenarios, and great differences in the types and reserves of biomass resources. In addition, the environmental conditions and socio-economic levels of different regions are different, and there are many options for the utilization of biomass resources.

因此,有必要针对性的考虑生物质资源的分布、种类、储量和用能需求,建立起一种基于生物质资源利用方案多属性优选的能源互联网规划方法,能够适用于不同典型地域的的经济、社会发展水平以及自然资源条件。能够适用于不同典型用能场景,为供能体系的构建提供重要依据。Therefore, it is necessary to consider the distribution, types, reserves and energy demand of biomass resources in a targeted manner, and establish an energy Internet planning method based on multi-attribute optimization of biomass resource utilization schemes, which can be applied to the economic development of different typical regions. , social development level and natural resource conditions. It can be applied to different typical energy usage scenarios and provide an important basis for the construction of energy supply system.

目前大部分地区除供电系统外,其他的能源供给系统如燃气供给系统、热力供应系统等能源基础设施建设并不完善、能源供给体系并不完备。此外,现有的能源互联网及多能耦合系统的规划方法中,将本地所蕴含的生物质资源采用单一利用方案纳入规划模型,然而对如何决策生物质资源的利用方案的相关研究却很不充分,缺乏对生物质资源利用方案在经济性、环保性及能源利用效率等方面的综合评估方法,从而导致规划方案对用能场景的适用性不足、生物质资源利用不充分。因此,亟需研究一种方便有效的能源互联网规划方法,对生物质供能设备的配置方案进行筛选,为后续供能体系的构建提供依据。At present, in addition to the power supply system in most areas, other energy supply systems such as gas supply systems, heat supply systems and other energy infrastructure constructions are not perfect, and the energy supply system is not complete. In addition, in the existing energy Internet and multi-energy coupling system planning methods, the local biomass resources are incorporated into the planning model with a single utilization plan, but the relevant research on how to decide the utilization plan of biomass resources is not sufficient , the lack of a comprehensive evaluation method for biomass resource utilization schemes in terms of economy, environmental protection, and energy utilization efficiency, resulting in insufficient applicability of planning schemes to energy use scenarios and insufficient utilization of biomass resources. Therefore, it is urgent to study a convenient and effective energy Internet planning method to screen the configuration scheme of biomass energy supply equipment and provide a basis for the construction of subsequent energy supply systems.

发明内容Contents of the invention

为了克服上述缺陷,本发明提出了一种区域能源互联网规划方法及装置。In order to overcome the above defects, the present invention proposes a method and device for regional energy internet planning.

第一方面,提供一种区域能源互联网规划方法,所述区域能源互联网规划方法包括:In the first aspect, a regional energy internet planning method is provided, and the regional energy internet planning method includes:

获取区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系的各末级评价指标的指标值;Obtain the index values of the final evaluation indicators of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system;

分别基于所述各个末级评价指标各自的第一权重系数和第二权重系数,确定所述各个末级评价指标的权重系数;Determining the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值;Determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

基于各区域生物质资源利用方案的综合评价值在各区域生物质资源利用方案中选择最优的区域生物质资源利用方案,并利用最优的区域生物质资源利用方案对区域进行能源互联网规划;Based on the comprehensive evaluation value of each regional biomass resource utilization plan, select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to plan the energy Internet for the region;

其中,所述预先构建的区域生物质资源利用方案评价指标体系中各末级评价指标的第一权重系数和第二权重系数分别基于层次分析法和熵权法获取。Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

优选的,所述预先构建的区域生物质资源利用方案评价指标体系为二级状态评价体系,所述预先构建的区域生物质资源利用方案评价指标体系中的一级指标包括下述中的至少一种:经济类指标、环境类指标、高效类指标;Preferably, the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

所述经济类指标对应的末级指标包括下述中的至少一种:投资成本、运行成本、检修维护成本、配套工程建设成本、融资率、补贴率、投资/GDP比率、投资/人均收入比率、节能收益、售能收益、副产品销售收益;The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

所述环境类指标对应的末级指标包括下述中的至少一种:二氧化碳排放量、甲烷排放量、硫化物排放量、氮氧化物排放量、颗粒物排放量;The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

所述高效类指标对应的末级指标包括下述中的至少一种:资源蕴藏量、生物质处理设备安装率、生物质处理设备产出率、生物质能源转化效率、生物质能源供能占比、用户设备改造量、用户设备改造成本。The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

进一步的,所述二氧化碳排放量的计算式如下:Further, the calculation formula of the carbon dioxide emission is as follows:

ECO2=EACO2+EBCO2 E CO2 =EA CO2 +EB CO2

所述甲烷排放量的计算式如下:The formula for calculating the amount of methane emissions is as follows:

ECH4=EACH4+EBCH4 E CH4 =EA CH4 +EB CH4

所述硫化物排放量的计算式如下:The formula for calculating the sulfide emission is as follows:

ESO2=EASO2+EBSO2 E SO2 =EA SO2 +EB SO2

所述氮氧化物排放量的计算式如下:The formula for calculating the emission of nitrogen oxides is as follows:

ENO=EANO+EBNO E NO =EA NO +EB NO

所述颗粒物排放量的计算式如下:The calculation formula of the particle emission is as follows:

Epm=Epm2.5+Epm10 E pm =E pm2.5 +E pm10

上式中,ECO2为年二氧化碳总排放量,EACO2为生物质原料处理加工过程中的年二氧化碳排放量,EBCO2为生物质能源燃烧供能的年二氧化碳排放量,ECH4为年甲烷总排放量,EACH4为生物质原料处理加工过程中的年甲烷排放量,EBCH4为生物质能源传输和使用过程中因泄露等产生的年甲烷排放量,ESO2为年硫化物总排放量,EASO2为生物质原料处理加工过程中的年硫化物排放量,EBSO2为生物质能源燃烧供能的年硫化物排放量,ENO为年氮氧化物总排放量,EANO为生物质原料处理加工过程中的年氮氧化物排放量,EBNO为生物质能源燃烧供能的年氮氧化物排放量,Epm为生物质能源燃烧供能过程中产生的年总颗粒物排放量,Epm2.5为生物质能源燃烧供能过程中产生的年总可吸入颗粒物排放量,Epm10为生物质能源燃烧供能过程中产生的年总灰尘排放量。In the above formula, E CO2 is the total annual carbon dioxide emission, EA CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB CO2 is the annual carbon dioxide emission for biomass energy combustion, E CH4 is the annual total methane Emissions, EA CH4 is the annual methane emission during the processing of biomass raw materials, EB CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E SO2 is the annual total sulfide emission, EA SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB SO2 is the annual sulfide emissions from biomass energy combustion for energy, E NO is the annual total nitrogen oxide emissions, EA NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E pm2 .5 is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

进一步的,所述资源蕴藏量的计算式如下:Further, the formula for calculating the resource reserves is as follows:

Qbio=Qpl+Qan+Qkw+Qcw Q bio =Q pl +Q an +Q kw +Q cw

所述生物质处理设备安装率的计算式如下:The formula for calculating the installation rate of the biomass treatment equipment is as follows:

Figure RE-GDA0004000343630000031
Figure RE-GDA0004000343630000031

所述生物质处理设备产出率的计算式如下:The formula for calculating the output rate of the biomass treatment equipment is as follows:

Figure RE-GDA0004000343630000041
Figure RE-GDA0004000343630000041

所述生物质能源转化效率的计算式如下:The calculation formula of the biomass energy conversion efficiency is as follows:

Figure RE-GDA0004000343630000042
Figure RE-GDA0004000343630000042

所述生物质能源供能占比的计算式如下:The formula for calculating the energy supply ratio of biomass energy is as follows:

Figure RE-GDA0004000343630000043
Figure RE-GDA0004000343630000043

所述用户设备改造量的计算式如下:The formula for calculating the modification amount of the user equipment is as follows:

Figure RE-GDA0004000343630000044
Figure RE-GDA0004000343630000044

所述用户设备改造成本的计算式如下:The formula for calculating the modification cost of the user equipment is as follows:

Figure RE-GDA0004000343630000045
Figure RE-GDA0004000343630000045

上式中,Qbio为转换为标准煤的生物质资源年总获得量,Qpl、Qan、Qkw、Qcw分别为转换为标准煤的农作物秸秆/薪柴、生物排泄物、厨余垃圾和可燃性垃圾的年总获得量,η1为生物质处理设备安装率,Si,bio为第i种生物质处理设备安装容量,Qi,day为第i种生物质原料的日均产生量,η2为生物质处理设备产出率,Wi,bio为将计算单位折算为kWh的第i种生物质处理设备的日产能量,Qi,day为第i种生物质原料的日均产生量,η3为生物质能源转化效率,Qj,out为将计算单位折算为kW的第j种能量转换设备的电/热/冷能输出量,Qj,in为将计算单位折算为kW的第j种能量转换设备的生物质能源输入量,η4为生物质能源供能占比, Qe.bio、Qh.bio、Ql.bio、Qg.bio分别为规划区内由生物质能源提供的电、热、冷、燃气年供能量, Q、Q、Q、Q分别为规划区内电、热、冷、燃气年需求量,η5用户设备改造量,Mbio为需要进行终端用能设备更换或改造的用户数,M为规划区内总用户数,CC(A)用户设备改造总成本等年值,Mbio为需要进行终端用能设备更换或改造的用户数,cci为每户进行终端用能设备更换或改造的所需费用。In the above formula, Q bio is the total annual yield of biomass resources converted into standard coal, and Q pl , Q an , Q kw , and Q cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η 1 is the installation rate of biomass treatment equipment, S i,bio is the installed capacity of the i-th biomass treatment equipment, Q i,day is the daily average of the i-th biomass raw material Production amount, η 2 is the output rate of biomass treatment equipment, W i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q i,day is the day of the i-th biomass raw material The average output, η 3 is the conversion efficiency of biomass energy, Q j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η 4 is the proportion of biomass energy supply, Q e.bio , Q h.bio , Q l.bio , Q g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q , Q , Q , Q are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η 5 user equipment transformation M bio is the number of users who need to replace or transform terminal energy-consuming equipment, M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc i is the cost required for the replacement or modification of end-use equipment for each household.

进一步的,所述各个末级评价指标的权重系数的计算式如下:Further, the calculation formula of the weight coefficients of each final evaluation index is as follows:

ω=0.5ω1+0.5ω2 ω=0.5ω 1 +0.5ω 2

上式中,ω为末级评价指标的权重系数向量,ω1、ω2分别为第一权重系数向量和第二权重系数向量。In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω 1 and ω 2 are the first weight coefficient vector and the second weight coefficient vector respectively.

进一步的,所述基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值,包括:Further, the determination of the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

对所述各末级评价指标的指标值进行趋势化处理,得到各末级评价指标的指标标准值;Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

基于所述区域生物质资源利用方案对于各末级评价指标的指标标准值确定区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值;Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

基于所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值确定区域生物质资源利用方案的综合评价值。The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

进一步的,所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值的计算式如下:Further, the calculation formula of the evaluation value of each first-level index in the pre-constructed regional biomass resource utilization scheme evaluation index system of the regional biomass resource utilization scheme is as follows:

Figure RE-GDA0004000343630000051
Figure RE-GDA0004000343630000051

上式中,vip为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的评价值,

Figure RE-GDA0004000343630000052
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离,
Figure RE-GDA0004000343630000053
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,
Figure RE-GDA0004000343630000052
is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,
Figure RE-GDA0004000343630000053
is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

进一步的,所述区域生物质资源利用方案的综合评价值的计算式如下:Further, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

vci=∑pωpvip v ci =∑ p ω p v ip

上式中,vci为区域生物质资源利用方案i的综合评价值,ωp为预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的权重系数,p=1,2,3。In the above formula, v ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

第二方面,提供一种区域能源互联网规划装置,所述区域能源互联网规划装置包括:In the second aspect, a regional energy Internet planning device is provided, and the regional energy Internet planning device includes:

获取模块,用于获取区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系的各末级评价指标的指标值;The obtaining module is used to obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed evaluation index system of the regional biomass resource utilization plan;

第一确定模块,用于分别基于所述各个末级评价指标各自的第一权重系数和第二权重系数,确定所述各个末级评价指标的权重系数;The first determination module is configured to determine the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

第二确定模块,用于基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值;The second determination module is used to determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

规划模块,用于基于各区域生物质资源利用方案的综合评价值在各区域生物质资源利用方案中选择最优的区域生物质资源利用方案,并利用最优的区域生物质资源利用方案对区域进行能源互联网规划;The planning module is used to select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan based on the comprehensive evaluation value of each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to make regional Carry out Energy Internet planning;

其中,所述预先构建的区域生物质资源利用方案评价指标体系中各末级评价指标的第一权重系数和第二权重系数分别基于层次分析法和熵权法获取。Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

第三方面,提供一种计算机设备,包括:一个或多个处理器;In a third aspect, a computer device is provided, including: one or more processors;

所述处理器,用于存储一个或多个程序;The processor is configured to store one or more programs;

当所述一个或多个程序被所述一个或多个处理器执行时,实现所述的区域能源互联网规划方法。When the one or more programs are executed by the one or more processors, the regional energy internet planning method is realized.

第四方面,提供一种计算机可读存储介质,其上存有计算机程序,所述计算机程序被执行时,实现所述的区域能源互联网规划方法。In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed, the above-mentioned regional energy internet planning method is realized.

本发明上述一个或多个技术方案,至少具有如下一种或多种有益效果:The above-mentioned one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

本发明提供了一种区域能源互联网规划方法及装置,包括:获取区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系的各末级评价指标的指标值;分别基于所述各个末级评价指标各自的第一权重系数和第二权重系数,确定所述各个末级评价指标的权重系数;基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值;基于各区域生物质资源利用方案的综合评价值在各区域生物质资源利用方案中选择最优的区域生物质资源利用方案,并利用最优的区域生物质资源利用方案对区域进行能源互联网规划;其中,所述预先构建的区域生物质资源利用方案评价指标体系中各末级评价指标的第一权重系数和第二权重系数分别基于层次分析法和熵权法获取。本发明提供的技术方案,依据现代生物质资源禀赋及多元用能需求,建立了生物质资源利用方案多属性评价体系,可实现对生物质资源利用方案在经济性、环保性和高效性等价值属性上的综合评估;The present invention provides a regional energy Internet planning method and device, including: obtaining the index values of the final evaluation indicators of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system; respectively based on the The first weight coefficient and the second weight coefficient of each end-level evaluation index respectively, determine the weight coefficient of each end-level evaluation index; based on the index value of each end-level evaluation index and the weight of each end-level evaluation index The coefficient determines the comprehensive evaluation value of the regional biomass resource utilization scheme; based on the comprehensive evaluation value of the regional biomass resource utilization scheme, the optimal regional biomass resource utilization scheme is selected among the regional biomass resource utilization schemes, and the optimal regional biomass resource utilization scheme is used. The regional biomass resource utilization plan carries out energy Internet planning for the region; wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization plan evaluation index system are based on the analytic hierarchy process and entropy weight method to obtain. The technical solution provided by the present invention establishes a multi-attribute evaluation system for biomass resource utilization schemes based on modern biomass resource endowments and multiple energy requirements, which can realize the value of biomass resource utilization schemes in terms of economy, environmental protection, and high efficiency. Comprehensive evaluation on attributes;

进一步的,本发明提供的技术方案,利用主客观相结合方法获取各个层次的指标重要度权重,进而采用逼近理想解排序法(TOPSIS法)实现不同生物质资源利用方案的综合排序并进行初步筛选获得方案集;建立能源互联网三层优化规划模型,将生物质资源利用方案解集连同相关参数纳入规划模型,通过求解规划模型获得能源互联网规划方案,为后续供能体系的构建提供依据。Further, in the technical solution provided by the present invention, the weights of index importance at each level are obtained by using the method of combining subjectivity and objectivity, and then the method of sorting by approaching the ideal solution (TOPSIS method) is used to realize the comprehensive sorting and preliminary screening of different biomass resource utilization schemes Obtain the scheme set; establish a three-tier optimization planning model of the Energy Internet, incorporate the biomass resource utilization scheme solution set together with relevant parameters into the planning model, and obtain the Energy Internet planning scheme by solving the planning model, providing a basis for the construction of the subsequent energy supply system.

附图说明Description of drawings

图1是本发明实施例的区域能源互联网规划方法的主要步骤流程示意图;Fig. 1 is a schematic flow chart of main steps of a regional energy internet planning method according to an embodiment of the present invention;

图2是本发明实施例的区域能源互联网规划装置的主要结构框图。Fig. 2 is a main structural block diagram of a regional energy internet planning device according to an embodiment of the present invention.

具体实施方式Detailed ways

下面结合附图对本发明的具体实施方式作进一步的详细说明。The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例,都属于本发明保护的范围。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

实施例1Example 1

参阅附图1,图1是本发明的一个实施例的区域能源互联网规划方法的主要步骤流程示意图。如图1所示,本发明实施例中的区域能源互联网规划方法主要包括以下步骤:Referring to accompanying drawing 1, Fig. 1 is a schematic flowchart of the main steps of the regional energy internet planning method according to an embodiment of the present invention. As shown in Figure 1, the regional energy Internet planning method in the embodiment of the present invention mainly includes the following steps:

步骤S101:获取区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系的各末级评价指标的指标值;Step S101: Obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system;

步骤S102:分别基于所述各个末级评价指标各自的第一权重系数和第二权重系数,确定所述各个末级评价指标的权重系数;Step S102: Determine the weight coefficients of each end-level evaluation index based on the respective first weight coefficient and second weight coefficient of each end-level evaluation index;

步骤S103:基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值;Step S103: Determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index values of the final evaluation indicators and the weight coefficients of the final evaluation indicators;

步骤S104:基于各区域生物质资源利用方案的综合评价值在各区域生物质资源利用方案中选择最优的区域生物质资源利用方案,并利用最优的区域生物质资源利用方案对区域进行能源互联网规划;Step S104: Based on the comprehensive evaluation value of each regional biomass resource utilization plan, select the optimal regional biomass resource utilization plan among the regional biomass resource utilization plans, and use the optimal regional biomass resource utilization plan to perform energy Internet planning;

其中,所述预先构建的区域生物质资源利用方案评价指标体系中各末级评价指标的第一权重系数和第二权重系数分别基于层次分析法和熵权法获取。Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

本实施例中,权重系数是衡量各指标在综合评价中相对重要程度的一个数值,一般以相对数形式表示。由于多指标的综合一般采用加权平均的方法,因此权重的确定直接影响着综合评价的结果。生物质资源利用方案的综合评价指标体系包含3类8组共计23个指标,不同地域、不同用能场景下决策的侧重点会有差异,因此需要科学合理的指标权重设置方法,为特定区域评估生物质资源利用方案提供技术支持。In this embodiment, the weight coefficient is a numerical value to measure the relative importance of each index in the comprehensive evaluation, and is generally expressed in the form of a relative number. Since the synthesis of multiple indicators generally adopts the method of weighted average, the determination of the weight directly affects the result of the comprehensive evaluation. The comprehensive evaluation index system of biomass resources utilization plan includes 3 categories and 8 groups with a total of 23 indicators. The focus of decision-making in different regions and different energy use scenarios will be different. Biomass resource utilization program provides technical support.

(1)层次分析法(1) Analytic Hierarchy Process

层次分析法简称AHP,是指将与决策总是有关的元素分解成目标、准则、方案等层次,在此基础之上进行定性和定量分析的决策方法。利用专家打分法,分别求解准则层和元素层各评价指标的权重,其中每一层的指标权重均可以按照如下步骤确定。Analytical Hierarchy Process (AHP) refers to a decision-making method that decomposes elements related to decision-making into goals, criteria, and programs, and conducts qualitative and quantitative analysis on this basis. Using the expert scoring method, the weights of the evaluation indicators of the criterion layer and the element layer are respectively solved, and the index weights of each layer can be determined according to the following steps.

1)组建专家组并由专家打分形成专家调查表1) Form an expert group and form an expert questionnaire by experts scoring

2)构造判断矩阵的一致性检验调查表2) Construct the consistency check questionnaire of the judgment matrix

由专家打分表构成判断矩阵B,对各个判断矩阵进行一致性检验,对其中没有通过一致性检验的矩阵进行修正后再检验,以降低主观性,保证评判结果的合理性和正确性。The judgment matrix B is formed by the expert scoring table, and the consistency test is carried out on each judgment matrix, and the matrix that fails the consistency test is corrected and re-tested to reduce subjectivity and ensure the rationality and correctness of the judgment results.

3)计算指标权重3) Calculate indicator weight

求判断矩阵B的最大特征值λmax及其对应的特征向量v:Find the largest eigenvalue λ max of the judgment matrix B and its corresponding eigenvector v:

Bv=λmaxvBv=λ max v

根据特征向量v求各评价指标层次分析法权重ω1 iCalculate the weight ω 1 i of each evaluation index AHP according to the feature vector v:

Figure RE-GDA0004000343630000081
Figure RE-GDA0004000343630000081

(2)熵权法(2) Entropy weight method

各个生物质资源利用方案的某项指标值趋于一致,说明该指标对方案决策影响不大,该指标的权重相对较小;某项指标值差异较大,说明该指标对方案决策影响较大,该指标的权重相对较大。这种指标值之间的差异性可用信息熵来描述。The value of a certain index in each biomass resource utilization plan tends to be consistent, indicating that the index has little influence on the decision-making of the plan, and the weight of the index is relatively small; the value of an index has a large difference, indicating that the index has a greater impact on the decision-making of the plan , the weight of this indicator is relatively large. The difference between the index values can be described by information entropy.

熵权法的基本思想是把个体指标值的各种差异所包含的信息量化,进而建立基于熵的指标权重模型,其中每一层的指标权重均可以按照如下步骤确定。The basic idea of the entropy weight method is to quantify the information contained in the various differences of individual index values, and then establish an entropy-based index weight model, in which the index weight of each layer can be determined according to the following steps.

1)构造评价指标矩阵1) Construct the evaluation index matrix

评价指标矩阵为:The evaluation index matrix is:

Figure RE-GDA0004000343630000082
Figure RE-GDA0004000343630000082

式中,xij表示第i种生物质资源利用方案的第j项评价指标值。In the formula, x ij represents the evaluation index value of item j of the i-th biomass resource utilization scheme.

将矩阵X通过归一化后处理,获得误差评价矩阵D:The matrix X is post-processed through normalization to obtain the error evaluation matrix D:

Figure RE-GDA0004000343630000091
Figure RE-GDA0004000343630000091

2)计算熵值2) Calculate the entropy value

由熵的定义,评价指标j对各生物质资源利用方案的重要性熵值为:According to the definition of entropy, the entropy value of the importance of evaluation index j to each biomass resource utilization scheme is:

Figure RE-GDA0004000343630000092
Figure RE-GDA0004000343630000092

3)计算指标权重3) Calculate indicator weight

各评价指标的熵权法权重ω2 j为:The entropy weight method weight ω 2 j of each evaluation index is:

Figure RE-GDA0004000343630000093
Figure RE-GDA0004000343630000093

(3)主客观结合法(3) Subjective and objective combination method

指标权重是以定量的方式反映各项指标在实现对象预定要求中所起作用大小的比重。确定指标权重可以使评估工作实现主次有别,抓住主要矛盾的效果。为了使确定出的指标权重既考虑专家经验,又结合客观实际,可采用层次分析法和熵权法相结合的主客观结合法确定指标权重,即分别采用层次分析法和熵权法计算各分项指标权重后,然后再按一定的百分比组合得出最终的指标权重。所述各个末级评价指标的权重系数的计算式如下:Index weight is a quantitative way to reflect the proportion of each index's role in realizing the predetermined requirements of the object. Determining the weight of indicators can make the evaluation work different from the primary and secondary, and grasp the effect of the main contradiction. In order to make the determined index weights not only consider expert experience, but also combine objective reality, the subjective and objective combination method of Analytic Hierarchy Process and Entropy Weight Method can be used to determine the index weight, that is, the Analytic Hierarchy Process and Entropy Weight Method are used to calculate each sub-item After the indicator weights are determined, the final indicator weights are obtained by combining them according to a certain percentage. The calculation formula of the weight coefficients of each final evaluation index is as follows:

ω=0.5ω1+0.5ω2 ω=0.5ω 1 +0.5ω 2

上式中,ω为末级评价指标的权重系数向量,ω1、ω2分别为第一权重系数向量和第二权重系数向量。In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω 1 and ω 2 are the first weight coefficient vector and the second weight coefficient vector respectively.

本实施例中,由于不同地域经济水平、居民生活水平、社会发展状况以及气候环境条件差异较大,不同典型用能场景的主要生物质资源的种类、储量差异较大,因此生物质资源如何利用更为合理,需要经济性、环保性以及能源利用效率等多方面进行综合评价,需要以生物质资源充分消纳以及适应典型用能场景为原则,建立对现代生物质资源利用方案进行综合价值评估的评价指标体系。In this example, due to the large differences in regional economic levels, residents' living standards, social development status, and climate and environmental conditions, the types and reserves of main biomass resources in different typical energy consumption scenarios are quite different, so how to use biomass resources It is more reasonable, and requires a comprehensive evaluation of economy, environmental protection, and energy utilization efficiency. It is necessary to establish a comprehensive value evaluation of modern biomass resource utilization schemes based on the principle of fully consuming biomass resources and adapting to typical energy use scenarios. evaluation index system.

考虑经济、环保、高效三方面,建立生物质资源利用方案评价体系。在农业园区等不同典型用能场景下,能够获取的建设资金、能够承受的资金投入、能够实现的功能效果、能够带来的附加收益等都有很大的差异;受限于资金投入和自然环境,不同典型用能场景下对环保要求和资源利用效率的要求皆存在差异。因此需要从多方面、多角度评价生物质资源利用方案的综合价值。本发明采用建立多属性评价体系方式,设立生物质资源利用方案评价指标。Considering the three aspects of economy, environmental protection and high efficiency, an evaluation system for biomass resource utilization schemes is established. In different typical energy use scenarios such as agricultural parks, the construction funds that can be obtained, the capital investment that can be tolerated, the functional effects that can be realized, and the additional benefits that can be brought are all very different; limited by capital investment and natural resources. Environment, the requirements for environmental protection and resource utilization efficiency are different under different typical energy consumption scenarios. Therefore, it is necessary to evaluate the comprehensive value of biomass resource utilization schemes from various aspects and angles. The present invention adopts the method of establishing a multi-attribute evaluation system, and establishes evaluation indicators of biomass resource utilization schemes.

本发明采用层次型多属性指标体系,评价经济属性的指标考察资源利用成本、资金获得能力、运营收益三项次属性,共11个细化指标;评价环保属性的指标考察碳排放、有害物质排放两项次属性,共5个细化指标;评价高效属性的指标考察资源利用率、能源转化效率、用能便捷性三项次属性,共7个细化指标。The present invention adopts a hierarchical multi-attribute index system, and the index for evaluating economic attributes examines the three sub-attributes of resource utilization cost, capital acquisition ability, and operating income, with a total of 11 detailed indexes; the index for evaluating environmental protection attributes examines carbon emissions and harmful substance emissions There are two sub-attributes, with a total of 5 detailed indicators; the index for evaluating the high-efficiency attribute examines the three sub-attributes of resource utilization rate, energy conversion efficiency, and energy convenience, with a total of 7 detailed indicators.

具体的,所述预先构建的区域生物质资源利用方案评价指标体系为二级状态评价体系,所述预先构建的区域生物质资源利用方案评价指标体系中的一级指标包括下述中的至少一种:经济类指标、环境类指标、高效类指标;Specifically, the pre-constructed regional biomass resource utilization scheme evaluation index system is a two-level state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

所述经济类指标对应的末级指标包括下述中的至少一种:投资成本、运行成本、检修维护成本、配套工程建设成本、融资率、补贴率、投资/GDP比率、投资/人均收入比率、节能收益、售能收益、副产品销售收益;The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

所述环境类指标对应的末级指标包括下述中的至少一种:二氧化碳排放量、甲烷排放量、硫化物排放量、氮氧化物排放量、颗粒物排放量;The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

所述高效类指标对应的末级指标包括下述中的至少一种:资源蕴藏量、生物质处理设备安装率、生物质处理设备产出率、生物质能源转化效率、生物质能源供能占比、用户设备改造量、用户设备改造成本。The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

在一个实施方式中,In one embodiment,

生物质资源利用方式的不同将带来所需资金的巨大差异,在农业园区等不同典型用能场景下,同一利用方式所需资金也有很大差异。如采用沼气工程处理生物质资源,养殖场、设施农业需要配置燃气轮机及局部供暖/冷系统;为居民聚集村庄供气或供暖还需要配套建设输送管网;散居农户的生物质废弃物的收集和转运需要高昂的转运费用和转运能耗。如何抉择生物质资源利用方案,资金需求将是重要决策因素,因此资源利用成本需要从投资成本、运行成本、检修维护成本及配套工程建设成本4个指标进行衡量。Different utilization methods of biomass resources will lead to huge differences in the funds required. In different typical energy consumption scenarios such as agricultural parks, the funds required for the same utilization method will also vary greatly. If a biogas project is used to treat biomass resources, gas turbines and local heating/cooling systems need to be configured for farms and facility agriculture; a supporting pipeline network needs to be built for gas supply or heating in villages where residents gather; the collection and distribution of biomass waste from scattered farmers Transshipment requires high transshipment costs and transshipment energy consumption. How to choose a biomass resource utilization plan, capital demand will be an important decision-making factor, so the cost of resource utilization needs to be measured from four indicators: investment cost, operation cost, maintenance cost and supporting project construction cost.

1)投资成本1) Investment cost

投资成本包括将生物质资源加工转化为可用能源所需的设备的购置成本、设备的安装成本和工程建设成本,投资成本计算方法如下:The investment cost includes the purchase cost of the equipment required to process and convert biomass resources into usable energy, the installation cost of the equipment and the construction cost of the project. The calculation method of the investment cost is as follows:

Figure RE-GDA0004000343630000101
Figure RE-GDA0004000343630000101

式中:CI(A)为投资成本的等年值;n为经济使用寿命;α为折现率;m为设备类型;Nm为第m类设备的总量;cim为第m类设备的单位投资费用。In the formula: CI(A) is the equivalent annual value of the investment cost; n is the economic service life; α is the discount rate; m is the type of equipment; unit investment cost.

2)运行成本2) Operating costs

运行成本包括将生物质资源加工转化过程中所需的用能费用、生物质资源收集转运费用、运行人员费用等,运行成本计算方法如下:The operating cost includes the cost of energy used in the process of processing and transforming biomass resources, the cost of collecting and transferring biomass resources, and the cost of operating personnel. The calculation method of operating cost is as follows:

Figure RE-GDA0004000343630000111
Figure RE-GDA0004000343630000111

式中:CO(A)为运行成本的等年值;com为第m类设备的单位运行成本。In the formula: CO(A) is the equivalent annual value of the operating cost; co m is the unit operating cost of the m-type equipment.

3)检修维护成本3) Overhaul and maintenance costs

检修维护成本计算方法如下:The maintenance cost calculation method is as follows:

Figure RE-GDA0004000343630000112
Figure RE-GDA0004000343630000112

式中:CM(A)为检修维护成本的等年值;cmm为第m类设备的单位检修维护费用。In the formula: CM(A) is the equivalent annual value of the maintenance cost; cm m is the unit maintenance cost of the m-class equipment.

4)配套工程建设成本4) Construction cost of supporting projects

配套工程建设成本包括生物质资源收集运送配套工程成本、将由生物质资源转化的能源输送至用户需要额外建设的输送渠道的配套工程成本、产能剩余物的处理及加工设施的配套工程成本,配套工程建设成本计算方法如下:The construction cost of supporting projects includes the cost of supporting projects for the collection and transportation of biomass resources, the cost of supporting projects for transporting the energy converted from biomass resources to the transmission channels that need to be additionally constructed by users, the cost of supporting projects for the treatment of production residues and processing facilities, and the cost of supporting projects The construction cost calculation method is as follows:

Figure RE-GDA0004000343630000113
Figure RE-GDA0004000343630000113

式中:CF(A)为配套工程建设成本的等年值;Nk为第k类配套工程设备的总量;cfk为第k类配套工程设备的单位投资费用。In the formula: CF(A) is the equivalent annual value of the construction cost of supporting projects; N k is the total amount of supporting engineering equipment of category k; cf k is the unit investment cost of supporting engineering equipment of category k.

不同地域经济社会发展水平差异很大,融资能力和投资承受能力差异很大。用于能源资源开发利用的商业投资和补贴也在加大力度,为巩固成果补贴也会向地区倾斜。然而在不同典型用能场景下,贷款偿还能力、集资能力等还是会有很大差异,会显著影响对生物质资源利用方案的抉择,因此资金获得能力需要从融资率、补贴率、投资/GDP比率及投资/人均收入比率4个指标进行衡量。The level of economic and social development in different regions varies greatly, as does the financing capacity and investment affordability. Commercial investment and subsidies for the development and utilization of energy resources are also increasing, and subsidies will also be tilted to regions to consolidate achievements. However, under different typical energy use scenarios, there will still be great differences in loan repayment ability and fund-raising ability, which will significantly affect the choice of biomass resource utilization schemes. The ratio and the investment/per capita income ratio are measured by four indicators.

1)融资率1) Financing rate

融资率计算方法如下:The financing rate calculation method is as follows:

Figure RE-GDA0004000343630000114
Figure RE-GDA0004000343630000114

式中:BB为融资率;CB为可获得的融资(包括银行贷款、企业及个人捐助等各种渠道融资)。In the formula: B B is the financing rate; C B is the available financing (including bank loans, corporate and individual donations and other financing channels).

2)补贴率2) Subsidy rate

补贴率计算方法如下:The subsidy rate is calculated as follows:

Figure RE-GDA0004000343630000121
Figure RE-GDA0004000343630000121

式中:BG为补贴率;CG为可获得的资金补贴。In the formula: B G is the subsidy rate; C G is the available financial subsidy.

3)投资/GDP比率3) Investment/GDP ratio

投资/GDP比率计算方法如下:The investment/GDP ratio is calculated as follows:

Figure RE-GDA0004000343630000122
Figure RE-GDA0004000343630000122

式中:BGDP为投资/GDP比率;CGDP为当地年生产总值。In the formula: B GDP is the investment/GDP ratio; C GDP is the local annual gross product.

4)投资/人均收入比率4) Investment/per capita income ratio

投资/人均收入比率计算方法如下:The investment/per capita income ratio is calculated as follows:

Figure RE-GDA0004000343630000123
Figure RE-GDA0004000343630000123

式中:BP为投资/人均收入比率;CP为当地年人均收入。In the formula: B P is the investment/per capita income ratio; C P is the local annual per capita income.

生物质资源的清洁化处理不仅可以提取和利用其中蕴含的生物质能,从而减少购能费用,还可将副产品出售获利。基于成本-效益分析法,生物质资源方案的附带收益也应计入评估范围。因此运营收益需要从节能收益、售能收益、副产品销售收益3个指标进行衡量。The clean treatment of biomass resources can not only extract and utilize the biomass energy contained in it, thereby reducing energy purchase costs, but also sell by-products for profit. Based on the cost-benefit analysis method, the incidental benefits of the biomass resource scheme should also be included in the evaluation scope. Therefore, operating income needs to be measured from three indicators: energy saving income, energy sales income, and sales income of by-products.

1)节能收益1) Energy Saving Benefits

节能收益为采用生物质资源供能替代商业购能所减少的购能费用,节能收益计算方法如下:The energy-saving income refers to the energy purchase cost reduced by using biomass resources to supply energy instead of commercial energy purchases. The calculation method of energy-saving income is as follows:

Figure RE-GDA0004000343630000124
Figure RE-GDA0004000343630000124

式中:Cs1为节能收益;W1i为每年因采用生物质资源供能而减少的第i种商业能源的采购总量;ωi为第i种商业能源的单价。In the formula: C s1 is the energy-saving benefit; W 1i is the total purchase amount of the i-th commercial energy that is reduced due to the use of biomass resources for energy every year; ω i is the unit price of the i-th commercial energy.

2)售能收益2) Energy sales income

售能收益为利用生物质资源产能后销售能源获得的收益,售能收益计算方法如下:The income from energy sales is the income obtained from the sale of energy after utilizing the production capacity of biomass resources. The calculation method of energy sales income is as follows:

Figure RE-GDA0004000343630000125
Figure RE-GDA0004000343630000125

式中:Cs2为节能收益;W2i为每年第i种能源的销售总量;ω2i为第i种能源的售价。In the formula: C s2 is the energy-saving benefit; W 2i is the total sales volume of the i-th energy every year; ω 2i is the selling price of the i-th energy.

3)副产品销售收益3) Revenue from sales of by-products

副产品销售收益为生物质资源产能后的剩余物加工为商品(如肥料)销售获得的收益,副产品销售收益计算方法如下:Revenue from sales of by-products refers to the revenue from the sale of commodities (such as fertilizers) after processing the residues after the production capacity of biomass resources. The revenue from sales of by-products is calculated as follows:

Figure RE-GDA0004000343630000126
Figure RE-GDA0004000343630000126

式中:Cs3为副产品销售收益;W3i为每年第i种副产品的销售总量;ω3i为第i种副产品的售价。In the formula: C s3 is the sales income of the by-product; W 3i is the total sales volume of the i-th by-product every year; ω 3i is the selling price of the i-th by-product.

生物质资源虽然从产生到利用的全过程中碳是吸收-排放循环进行的,但不同的资源利用方式产生的温室效应差异很大,其中甲烷的温室效应是二氧化碳的几十倍,尽可能避免自然发酵方式处理生物质废弃物以降低甲烷排放也是环境保护的重要要求。因此碳排放需要从二氧化碳排放量和甲烷排放量2个指标进行衡量。Although the carbon in the whole process from production to utilization of biomass resources is carried out in an absorption-emission cycle, the greenhouse effect produced by different resource utilization methods is very different. Among them, the greenhouse effect of methane is dozens of times that of carbon dioxide, and should be avoided as much as possible. It is also an important requirement for environmental protection to treat biomass waste by natural fermentation to reduce methane emissions. Therefore, carbon emissions need to be measured from two indicators: carbon dioxide emissions and methane emissions.

二氧化碳排放量包括生物质资源处理加工过程中产生的排放量和能源产品被使用过程中产生的排放量,所述二氧化碳排放量的计算式如下:Carbon dioxide emissions include the emissions generated during the processing and processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the carbon dioxide emissions is as follows:

ECO2=EACO2+EBCO2 E CO2 =EA CO2 +EB CO2

甲烷排放量包括生物质资源处理加工过程中产生的排放量和能源产品被使用过程中产生的排放量,所述甲烷排放量的计算式如下:Methane emissions include the emissions generated during the processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the methane emissions is as follows:

ECH4=EACH4+EBCH4 E CH4 =EA CH4 +EB CH4

生物质资源的处理加工及利用方式在害物质排放种类和排放量上有很大差异。例如作物秸秆还田不仅向空气中排放甲烷,还会排放硫化物和氮氧化物;加工为固体燃料在燃烧供能过程中会向空气中排放硫化物、氮氧化物和烟尘;小型分散型秸秆沼气装置的减排效果也低于大中型集中性沼气工程。对多种类的生物质废弃物采用不同的利用方案,其清洁环保效果需要有效评估,因此在资源利用清洁化方面需要采用硫化物排放量、氮氧化物排放量和颗粒物排放量3个指标对有害物质排进行衡量。There are great differences in the types and amounts of harmful substances discharged in the processing and utilization methods of biomass resources. For example, crop straw returning to the field not only emits methane into the air, but also emits sulfide and nitrogen oxides; processing it into solid fuels will emit sulfide, nitrogen oxides, and soot into the air during combustion for energy; small-scale dispersed straw The emission reduction effect of biogas installations is also lower than that of large and medium-sized centralized biogas projects. Different utilization schemes are adopted for various types of biomass wastes, and their cleaning and environmental effects need to be effectively evaluated. Therefore, in terms of resource utilization cleanliness, three indicators of sulfide emissions, nitrogen oxide emissions, and particulate matter emissions need to be used to harm harmful Material row is measured.

硫化物排放量包括生物质资源处理加工过程中产生的排放量和能源产品被使用过程中产生的排放量,所述硫化物排放量的计算式如下:The amount of sulfide emissions includes the amount of emissions generated during the processing of biomass resources and the amount of emissions generated during the use of energy products. The calculation formula for the amount of sulfide emissions is as follows:

ESO2=EASO2+EBSO2 E SO2 =EA SO2 +EB SO2

氮氧化物排放量包括生物质资源处理加工过程中产生的排放量和能源产品被使用过程中产生的排放量,所述氮氧化物排放量的计算式如下:Nitrogen oxide emissions include the emissions generated during the processing and processing of biomass resources and the emissions generated during the use of energy products. The calculation formula for the nitrogen oxide emissions is as follows:

ENO=EANO+EBNO E NO =EA NO +EB NO

颗粒物排放量包括生物质能源燃烧供能过程中产生的可吸入颗粒物排放量和其他灰尘颗粒物排放量,所述颗粒物排放量的计算式如下:Particulate matter emissions include inhalable particulate matter emissions and other dust particulate matter emissions generated during biomass energy combustion for energy supply. The calculation formula for the particulate matter emissions is as follows:

Epm=Epm2.5+Epm10 E pm =E pm2.5 +E pm10

上式中,ECO2为年二氧化碳总排放量,EACO2为生物质原料处理加工过程中的年二氧化碳排放量,EBCO2为生物质能源燃烧供能的年二氧化碳排放量,ECH4为年甲烷总排放量,EACH4为生物质原料处理加工过程中的年甲烷排放量,EBCH4为生物质能源传输和使用过程中因泄露等产生的年甲烷排放量,ESO2为年硫化物总排放量,EASO2为生物质原料处理加工过程中的年硫化物排放量,EBSO2为生物质能源燃烧供能的年硫化物排放量,ENO为年氮氧化物总排放量,EANO为生物质原料处理加工过程中的年氮氧化物排放量,EBNO为生物质能源燃烧供能的年氮氧化物排放量,Epm为生物质能源燃烧供能过程中产生的年总颗粒物排放量,Epm2.5为生物质能源燃烧供能过程中产生的年总可吸入颗粒物排放量,Epm10为生物质能源燃烧供能过程中产生的年总灰尘排放量。In the above formula, E CO2 is the total annual carbon dioxide emission, EA CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB CO2 is the annual carbon dioxide emission for biomass energy combustion, E CH4 is the annual total methane Emissions, EA CH4 is the annual methane emission during the processing of biomass raw materials, EB CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E SO2 is the annual total sulfide emission, EA SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB SO2 is the annual sulfide emissions from biomass energy combustion for energy, E NO is the annual total nitrogen oxide emissions, EA NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E pm2 .5 is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

进一步的,农业园区等典型用能场景下,生物质资源的种类和蕴含量差异显著,生物质资源的可开发比率、开发规模、开发深度都受限于资金能力和自然环境条件,因此应从资源规模、可处理规模方面评价生物质资源的利用程度,并以转换为统一量纲的形式计算各种资源利用方案的评价指标。资源利用成本需要从资源蕴藏量、生物质处理设备安装率2个指标进行衡量。Furthermore, in typical energy use scenarios such as agricultural parks, the types and content of biomass resources vary significantly, and the exploitable ratio, development scale, and development depth of biomass resources are all limited by financial capabilities and natural environmental conditions. Evaluate the utilization degree of biomass resources in terms of scale and handleable scale, and calculate the evaluation indicators of various resource utilization schemes in the form of conversion into a unified dimension. Resource utilization cost needs to be measured from two indicators: resource reserves and biomass treatment equipment installation rate.

资源蕴藏量包括农作物秸秆/薪柴蕴藏量、生物排泄物蕴藏量、厨余垃圾蕴藏量和可燃性垃圾蕴藏量,所述资源蕴藏量的计算式如下:Resource reserves include crop straw/firewood reserves, biological excrement reserves, kitchen waste reserves, and combustible waste reserves. The calculation formula for the resource reserves is as follows:

Qbio=Qpl+Qan+Qkw+Qcw Q bio =Q pl +Q an +Q kw +Q cw

生物质处理设备安装率表征在同等生物质原料产生量的条件下生物质资源处理加工设备的可安装容量,体现生物质资源的处理能力,所述生物质处理设备安装率的计算式如下:The installation rate of biomass processing equipment represents the installable capacity of biomass resource processing equipment under the same amount of biomass raw material production, which reflects the processing capacity of biomass resources. The calculation formula for the installation rate of biomass processing equipment is as follows:

Figure RE-GDA0004000343630000141
Figure RE-GDA0004000343630000141

从生物质资源从提取能量并加以利用,其能源转化效率是评价资源利用方案高效性的重要指标。在同等规模生物质资源条件下,不同处理加工方案产出量的差异表征了资源利用方案从生物质中提取能量的能力;在同等生物质能源规模下二次能源(电/热/冷能)的产出量表征了资源利用方案的能源利用率。因此能源转化效率需要通过统一量纲的形式计算能源输入量和产出量,以生物质处理设备产出率、生物质能源转化效率2个指标进行衡量。Energy is extracted from biomass resources and utilized, and its energy conversion efficiency is an important indicator for evaluating the efficiency of resource utilization schemes. Under the same scale of biomass resources, the difference in the output of different treatment and processing schemes represents the ability of resource utilization schemes to extract energy from biomass; under the same scale of biomass energy, secondary energy (electricity/heating/cold energy) The output of represents the energy utilization rate of the resource utilization scheme. Therefore, the energy conversion efficiency needs to calculate the energy input and output in the form of a unified dimension, and is measured by two indicators: the output rate of biomass treatment equipment and the efficiency of biomass energy conversion.

生物质处理设备产出率表征在同等生物质原料产生量的条件下生物质资源处理加工设备的日产能量,体现生物质资源转化为生物质能源的转化效率,所述生物质处理设备产出率的计算式如下:The output rate of biomass processing equipment represents the daily energy output of biomass resource processing equipment under the same biomass raw material production, which reflects the conversion efficiency of biomass resources into biomass energy. The output rate of biomass processing equipment The calculation formula is as follows:

Figure RE-GDA0004000343630000151
Figure RE-GDA0004000343630000151

生物质能源转化效率表征将生物质能源转换为电/热/冷能时的转化效率,所述生物质能源转化效率的计算式如下:The biomass energy conversion efficiency characterizes the conversion efficiency when biomass energy is converted into electricity/heat/cold energy, and the calculation formula of the biomass energy conversion efficiency is as follows:

Figure RE-GDA0004000343630000152
Figure RE-GDA0004000343630000152

从生物质资源从提取能量并加以利用,能量提取方式的改变必然引起受端用能方式的改变。相对于风光发电等高随机性能源,生物质能源供能可控性更高,因此用能需求中由本地生物质能源提供供能的比例越高,表征用能便捷性越好、生物质资源的开发价值越大。与此同时,用能用户需要对用能设备进行改造以适应供能方式的改变,例如居民灶具的更换、采暖器具的改造或更换等。改造量和改造费用都影响用户使用生物质能源的意愿。因此,用能便捷性需要从生物质能源供能占比、用户设备改造量和用户设备改造成本3个指标进行衡量。Energy is extracted from biomass resources and utilized. Changes in energy extraction methods will inevitably lead to changes in the way energy is used at the receiving end. Compared with highly random energy sources such as wind power generation, the energy supply of biomass energy is more controllable, so the higher the proportion of energy supplied by local biomass energy in the energy demand, the better the convenience of energy use. Biomass resources The greater the development value. At the same time, energy users need to transform energy-consuming equipment to adapt to changes in energy supply methods, such as replacement of residential stoves, modification or replacement of heating appliances, etc. Both the amount of transformation and the cost of transformation affect the user's willingness to use biomass energy. Therefore, the convenience of energy use needs to be measured from three indicators: the proportion of biomass energy supply, the amount of user equipment transformation, and the cost of user equipment transformation.

生物质能源供能占比表征当地用能需求中通过生物质能源供能所占比例,所述生物质能源供能占比的计算式如下:The proportion of biomass energy supply represents the proportion of local energy demand supplied by biomass energy. The calculation formula for the proportion of biomass energy supply is as follows:

Figure RE-GDA0004000343630000153
Figure RE-GDA0004000343630000153

用户设备改造量表征当地采用生物质能源供能时,需要进行终端用能设备更换或改造的用户数占总用户数比例,所述用户设备改造量的计算式如下:The transformation amount of user equipment represents the ratio of the number of users who need to replace or transform terminal energy-consuming equipment to the total number of users when the local biomass energy is used for energy supply. The calculation formula for the transformation amount of user equipment is as follows:

Figure RE-GDA0004000343630000154
Figure RE-GDA0004000343630000154

用户设备改造量表征当地采用生物质能源供能时,需要进行终端用能设备更换或改造的总成本,所述用户设备改造成本的计算式如下:The transformation amount of user equipment represents the total cost of replacement or transformation of terminal energy-consuming equipment when local biomass energy is used for energy supply. The calculation formula for the transformation cost of user equipment is as follows:

Figure RE-GDA0004000343630000161
Figure RE-GDA0004000343630000161

上式中,Qbio为转换为标准煤的生物质资源年总获得量,Qpl、Qan、Qkw、Qcw分别为转换为标准煤的农作物秸秆/薪柴、生物排泄物、厨余垃圾和可燃性垃圾的年总获得量,η1为生物质处理设备安装率,Si,bio为第i种生物质处理设备安装容量,Qi,day为第i种生物质原料的日均产生量,η2为生物质处理设备产出率,Wi,bio为将计算单位折算为kWh的第i种生物质处理设备的日产能量,Qi,day为第i种生物质原料的日均产生量,η3为生物质能源转化效率,Qj,out为将计算单位折算为kW的第j种能量转换设备的电/热/冷能输出量,Qj,in为将计算单位折算为kW的第j种能量转换设备的生物质能源输入量,η4为生物质能源供能占比, Qe.bio、Qh.bio、Ql.bio、Qg.bio分别为规划区内由生物质能源提供的电、热、冷、燃气年供能量, Q、Q、Q、Q分别为规划区内电、热、冷、燃气年需求量,η5用户设备改造量,Mbio为需要进行终端用能设备更换或改造的用户数,M为规划区内总用户数,CC(A)用户设备改造总成本等年值,Mbio为需要进行终端用能设备更换或改造的用户数,cci为每户进行终端用能设备更换或改造的所需费用。In the above formula, Q bio is the total annual yield of biomass resources converted into standard coal, and Q pl , Q an , Q kw , and Q cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η 1 is the installation rate of biomass treatment equipment, S i,bio is the installed capacity of the i-th biomass treatment equipment, Q i,day is the daily average of the i-th biomass raw material Production amount, η 2 is the output rate of biomass treatment equipment, W i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q i,day is the day of the i-th biomass raw material The average output, η 3 is the conversion efficiency of biomass energy, Q j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η 4 is the proportion of biomass energy supply, Q e.bio , Q h.bio , Q l.bio , Q g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q , Q , Q , Q are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η 5 user equipment transformation M bio is the number of users who need to replace or transform terminal energy-consuming equipment , M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc i is the cost required for the replacement or modification of end-use equipment for each household.

在一个实施方式中,本发明利用逼近理想解排序法(Technique for OrderPreference by Similarity to an Ideal Solution,TOPSIS)量化各生物质资源利用方案在经济性、环保性和高效性方面的属性价值。进一步组合可获得其综合价值,用以对生物质资源利用方案进行综合评估。因此,所述基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值,包括:In one embodiment, the present invention quantifies the attribute value of each biomass resource utilization scheme in terms of economy, environmental protection and high efficiency by using the technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Further combination can obtain its comprehensive value, which can be used to comprehensively evaluate the utilization scheme of biomass resources. Therefore, the comprehensive evaluation value of the regional biomass resource utilization scheme determined based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

对所述各末级评价指标的指标值进行趋势化处理,得到各末级评价指标的指标标准值;Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

基于所述区域生物质资源利用方案对于各末级评价指标的指标标准值确定区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值;Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

基于所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值确定区域生物质资源利用方案的综合评价值。The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

在一个实施方式中,所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值的计算式如下:In one embodiment, the calculation formula of the evaluation value of each primary index in the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system is as follows:

Figure RE-GDA0004000343630000171
Figure RE-GDA0004000343630000171

上式中,vip为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的评价值,

Figure RE-GDA0004000343630000172
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离,
Figure RE-GDA0004000343630000173
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,
Figure RE-GDA0004000343630000172
is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,
Figure RE-GDA0004000343630000173
is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

在一个实施方式中,所述区域生物质资源利用方案的综合评价值的计算式如下:In one embodiment, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

vci=∑pωpvip v ci =∑ p ω p v ip

上式中,vci为区域生物质资源利用方案i的综合评价值,ωp为预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的权重系数,p=1,2,3。In the above formula, v ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

在一个最优的实施方式中,采用TOPSIS法进行价值量化的步骤如下:In an optimal implementation, the steps for value quantification using the TOPSIS method are as follows:

步骤1:由各个区域生物质资源利用方案的全部指标值构成矩阵K,其行向量Ki表征资源利用方案i在不同评估属性下的指标值,列向量Kp表征不同资源利用方案在属性p下的指标值;Step 1: The matrix K is composed of all the index values of the biomass resource utilization schemes in each region. The row vector K i represents the index value of the resource utilization scheme i under different evaluation attributes, and the column vector K p represents the different resource utilization schemes under the attribute p The index value under;

步骤2:对K作同趋势化处理,使所有指标的优劣变化方向一致。本专利将所有效益型指标均转换为成本型指标,得到数据矩阵K’,其中,绝对数采用倒数法进行转换、相对数采用差数法进行转换;Step 2: Process K with the same trend, so that the direction of change of the pros and cons of all indicators is consistent. This patent converts all benefit-type indicators into cost-type indicators to obtain a data matrix K', wherein the absolute number is converted by the reciprocal method, and the relative number is converted by the difference method;

步骤3:对K’进行标准化处理,得到标准化矩阵K”,消除因各指标值的量纲和数量级差异而对结果造成的影响,具体处理方法为:Step 3: Standardize K' to obtain a standardized matrix K", to eliminate the impact on the results caused by the dimension and magnitude differences of each index value. The specific processing method is as follows:

Figure RE-GDA0004000343630000174
Figure RE-GDA0004000343630000174

式中:Ej为各种资源利用方案在指标j下各数据的均值;Dj为各种生物质资源利用方案在指标j下的方差。In the formula: E j is the mean value of each data of various resource utilization schemes under index j; D j is the variance of various biomass resource utilization schemes under index j.

步骤4:根据K”得到资源利用方案i在每一种属性下各指标中的最优值和最劣值,分别组合得到最优方案K+和最劣方案K-Step 4: Obtain the optimal value and the worst value of resource utilization scheme i in each index under each attribute according to K", and combine them to obtain the optimal scheme K + and the worst scheme K - respectively;

步骤5:利用前文方法求得各层指标权重,计算第i种资源利用方案的指标值与最优方案和最劣方案的欧氏距离

Figure RE-GDA0004000343630000175
Figure RE-GDA0004000343630000176
Step 5: Use the previous method to obtain the index weights of each layer, and calculate the Euclidean distance between the index value of the i-th resource utilization plan and the optimal plan and the worst plan
Figure RE-GDA0004000343630000175
and
Figure RE-GDA0004000343630000176

步骤6:计算各资源利用方案与最优方案的相对贴近度,作为其对应经济性、环保性、高效性的价值。例如第i种资源利用方案在高效性的价值为:Step 6: Calculate the relative closeness between each resource utilization plan and the optimal plan, as its corresponding value of economy, environmental protection, and high efficiency. For example, the efficiency value of resource utilization scheme i is:

Figure RE-GDA0004000343630000181
Figure RE-GDA0004000343630000181

步骤7:利用TOPSIS法可对所有生物质资源利用/方案的23项指标值在经济性、环保性、高效性3种属性下进行统一的价值量化处理,通过计算可以得到生物质资源利用方案综合价值矩阵V,其行向量表征资源利用方案i在不同评估属性下的价值、列向量表征不同资源利用方案在该属性下的价值。Step 7: Using the TOPSIS method, the 23 index values of all biomass resource utilization/plans can be uniformly quantified under the three attributes of economy, environmental protection, and high efficiency, and the comprehensive biomass resource utilization scheme can be obtained through calculation. Value matrix V, whose row vector represents the value of resource utilization scheme i under different evaluation attributes, and column vector represents the value of different resource utilization schemes under this attribute.

Figure RE-GDA0004000343630000182
Figure RE-GDA0004000343630000182

式中:行向量

Figure RE-GDA0004000343630000183
为资源利用方案i在经济性、环保性和高效性下的价值向量;列向量[v1p,v2p,v3p,…,vmp]T为不同资源利用方案在第p种属性下的价值。Where: row vector
Figure RE-GDA0004000343630000183
is the value vector of resource utilization scheme i under economy, environmental protection and high efficiency; column vector [v 1p ,v 2p ,v 3p ,…,v mp ] T is the value of different resource utilization schemes under attribute p .

步骤8:利用前文方法求得生物质资源利用方案在经济性、环保性和高效性的重要度权重,通过加权组合获得各资源利用方案的综合价值Vci为:Step 8: Use the previous method to obtain the importance weight of the biomass resource utilization scheme in terms of economy, environmental protection and high efficiency, and obtain the comprehensive value V ci of each resource utilization scheme through weighted combination as follows:

Figure RE-GDA0004000343630000184
Figure RE-GDA0004000343630000184

式中:ωp为各种资源利用方案在在经济性、环保性和高效性的重要度权重,p=1,2,3,且

Figure RE-GDA0004000343630000185
In the formula: ω p is the importance weight of various resource utilization schemes in terms of economy, environmental protection and high efficiency, p=1,2,3, and
Figure RE-GDA0004000343630000185

由此得到综合了经济性、环保性和高效性等价值属性的各能源系统生物质资源利用方法 /方案的价值评估向量Vs,并依据评估值获得不同资源利用方案的价值排序。From this, the value evaluation vector Vs of each energy system biomass resource utilization method/scheme that integrates value attributes such as economy, environmental protection, and high efficiency is obtained, and the value ranking of different resource utilization schemes is obtained based on the evaluation value.

依据TOPSIS法求得的生物质资源利用方案的综合价值,并依据价值大小可获得对生物质资源利用方案的综合排序。按照排序可筛选若干生物质利用方案作为可行预设方案;将预设方案集纳入优化规划模型,可为供能体系规划提供重要依据。According to the comprehensive value of the biomass resource utilization scheme obtained by the TOPSIS method, and according to the value, the comprehensive ranking of the biomass resource utilization scheme can be obtained. According to the ranking, several biomass utilization schemes can be selected as feasible preset schemes; incorporating the preset scheme set into the optimization planning model can provide an important basis for energy supply system planning.

在一个最优的实施方案中,所述S104中,利用最优的区域生物质资源利用方案对区域进行能源互联网规划,可以按下述方式实现:In an optimal implementation, in the S104, the optimal regional biomass resource utilization scheme is used to plan the energy internet for the region, which can be implemented in the following manner:

1.能源互联网规划策略1. Energy Internet planning strategy

能源互联网、多能供给系统规划应针对农业园区等典型用能场景的生物质资源禀赋、生产生活基本用能特性、当地社会经济发展水平、气候环境条件等多方因素,综合考虑生物质资源利用方案的经济性、环保性以及高效性等相关要素,建立多目标、多约束的优化规划模型,通过求解模型获得合理可行的优化规划方案。然而将生物质能源利用方案优选及其相关设备的优化直接纳入规划模型会导致影响因素及相关变量激增从而求解困难,使得优化规划模型仅适用于理论研究而难以应用于能源互联网、多能供给系统的规划与建设。Energy Internet and multi-energy supply system planning should comprehensively consider biomass resource utilization plans based on multiple factors such as biomass resource endowment, basic energy consumption characteristics of production and life, local socio-economic development level, and climate and environmental conditions in typical energy-use scenarios such as agricultural parks. Based on relevant factors such as economy, environmental protection and high efficiency, a multi-objective and multi-constraint optimization planning model is established, and a reasonable and feasible optimization planning scheme is obtained by solving the model. However, directly incorporating the optimization of biomass energy utilization schemes and the optimization of related equipment into the planning model will lead to a surge in influencing factors and related variables, making it difficult to solve, making the optimization planning model only suitable for theoretical research and difficult to apply to energy Internet and multi-energy supply systems planning and construction.

采用本专利提出的生物质资源利用方案综合评价指标体系和综合评估方法,可实现生物质资源利用方案的多属性优选,将按照综合排序筛的选若干生物质利用方案作为候选解集,连同计算指标值时可获得的诸如能源资源产能量、能源资源利用成本等生物质资源利用方案的重要参数一起纳入优化规划模型,形成三层能源互联网规划模型,该模型的生物质资源利用方案解空间较小、模型解难度降低,是提升规划方案适用性与合理性的有效方法手段。By adopting the comprehensive evaluation index system and comprehensive evaluation method of the biomass resource utilization scheme proposed in this patent, the multi-attribute optimization of the biomass resource utilization scheme can be realized. Several biomass utilization schemes will be selected according to the comprehensive ranking as candidate solution sets, together with the calculation The important parameters of the biomass resource utilization plan, such as energy resource production capacity and energy resource utilization cost, which can be obtained when the index value is obtained, are incorporated into the optimization planning model to form a three-layer energy Internet planning model. The solution space of the biomass resource utilization plan in this model is relatively large It is an effective method to improve the applicability and rationality of the planning scheme because it is small and the difficulty of model solution is reduced.

2.能源互联网三层规划模型建模方法2. Modeling method of three-tier planning model of Energy Internet

根据生物质资源利用方案的综合价值指标,综合考虑多能系统可再生能源消纳、低碳减排以及经济性等因素,建立能源互联网三层规划模型。上层以能源互联网总规划成本最小为目标,实现生物质资源利用方案的最终优选;中层以系统碳排放最小、可再生能源消纳最大和系统的年规划费用最小作为优化目标,得到能源互联网其他能源设备及其容量配置方案;下层以运行成本最小为目标,得到既定规划方案下的能源互联网优化调度方案及运行费用。各层模型目标约束及优化变量及求解方法如表1所示。According to the comprehensive value index of the biomass resource utilization plan, a three-tier planning model of the Energy Internet is established by comprehensively considering factors such as the consumption of renewable energy in multi-energy systems, low-carbon emission reduction, and economical efficiency. The upper layer aims to minimize the overall planning cost of the Energy Internet to achieve the final optimization of the biomass resource utilization plan; the middle layer takes the minimum system carbon emissions, the maximum renewable energy consumption, and the minimum annual planning costs of the system as the optimization goals to obtain other energy sources of the Energy Internet. Equipment and its capacity configuration plan; the lower layer aims to minimize the operating cost, and obtains the optimal scheduling plan and operating cost of the Energy Internet under the established planning plan. The target constraints, optimization variables and solution methods of each layer model are shown in Table 1.

表1Table 1

Figure RE-GDA0004000343630000191
Figure RE-GDA0004000343630000191

3.基于生物质资源利用方案优选的能源互联网规划实现过程3. Implementation process of Energy Internet planning based on biomass resource utilization scheme optimization

针对农业园区等典型用能场景,分析自然资源禀赋、生产生活基本用能需求、资金投入能力及环境清洁要求等要素,首先进行生物质资源利用方法初步设计获得多套方案,然后利用本专利提出的生物质资源利用方案多属性优选筛选出少量可行方案,再将可行方案集纳入规划模型,通过求解规划模型获得能源互联网规划方案。其实现过程可分为以下步骤:For typical energy use scenarios such as agricultural parks, analyze factors such as natural resource endowment, basic energy demand for production and life, capital investment capacity, and environmental cleanliness requirements. A small number of feasible schemes are selected by multi-attribute optimization of the biomass resource utilization scheme, and then the set of feasible schemes is incorporated into the planning model, and the energy Internet planning scheme is obtained by solving the planning model. Its implementation process can be divided into the following steps:

1)针对典型用能场景的生物质资源出产类型以及产量,基于现有的生物质资源供能技术,设立初步的生物质资源利用方案群;1) According to the production type and output of biomass resources in typical energy use scenarios, based on the existing biomass resource energy supply technology, set up a preliminary group of biomass resource utilization schemes;

2)依照建立起的生物质资源利用方案综合评价指标计算方法计算各候选方案经济性、环保性和高效性指标;2) Calculate the economic, environmental protection and high-efficiency indicators of each candidate scheme according to the established comprehensive evaluation index calculation method of the biomass resource utilization scheme;

3)利用专家打分法对各个方案中的各类指标进行打分,利用主客观相结合的方法分别求解各个生物质资源利用方案准则层和元素层各评价指标的权重;3) Use the expert scoring method to score various indicators in each plan, and use the method of combining subjectivity and objectivity to solve the weights of each evaluation index at the criterion layer and element layer of each biomass resource utilization plan;

4)采用逼近理想解排序法(TOPSIS法)实现不同生物质资源利用方案的综合排序并进行初步筛选获得方案集;4) Using the approaching ideal solution sorting method (TOPSIS method) to realize the comprehensive ranking of different biomass resource utilization schemes and conduct preliminary screening to obtain the scheme set;

5)根据生物质资源利用方案的综合价值指标,综合考虑多能系统可再生能源消纳、低碳减排以及经济性等因素,建立能源互联网三层规划模型;5) According to the comprehensive value index of the biomass resource utilization plan, comprehensively consider the multi-energy system renewable energy consumption, low-carbon emission reduction and economical factors, and establish a three-layer planning model of the energy Internet;

6)将生物质资源利用方案解集连同相关参数纳入规划模型,通过求解规划模型获得能源互联网规划方案。6) Incorporate the solution set of biomass resource utilization schemes together with relevant parameters into the planning model, and obtain the energy Internet planning scheme by solving the planning model.

实施例2Example 2

基于同一种发明构思,本发明还提供了一种区域能源互联网规划装置,如图2所示,所述区域能源互联网规划装置包括:Based on the same inventive concept, the present invention also provides a regional energy Internet planning device, as shown in Figure 2, the regional energy Internet planning device includes:

获取模块,用于获取区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系的各末级评价指标的指标值;The obtaining module is used to obtain the index value of each final evaluation index of the regional biomass resource utilization plan in the pre-constructed evaluation index system of the regional biomass resource utilization plan;

第一确定模块,用于分别基于所述各个末级评价指标各自的第一权重系数和第二权重系数,确定所述各个末级评价指标的权重系数;The first determination module is configured to determine the weight coefficients of the respective final-level evaluation indexes based on the respective first weight coefficients and second weight coefficients of the respective final-level evaluation indexes;

第二确定模块,用于基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值;The second determination module is used to determine the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index;

规划模块,用于基于各区域生物质资源利用方案的综合评价值在各区域生物质资源利用方案中选择最优的区域生物质资源利用方案,并利用最优的区域生物质资源利用方案对区域进行能源互联网规划;The planning module is used to select the optimal regional biomass resource utilization plan in each regional biomass resource utilization plan based on the comprehensive evaluation value of each regional biomass resource utilization plan, and use the optimal regional biomass resource utilization plan to make regional Carry out Energy Internet planning;

其中,所述预先构建的区域生物质资源利用方案评价指标体系中各末级评价指标的第一权重系数和第二权重系数分别基于层次分析法和熵权法获取。Wherein, the first weight coefficient and the second weight coefficient of each final evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system are respectively obtained based on the AHP and the entropy weight method.

优选的,所述预先构建的区域生物质资源利用方案评价指标体系为二级状态评价体系,所述预先构建的区域生物质资源利用方案评价指标体系中的一级指标包括下述中的至少一种:经济类指标、环境类指标、高效类指标;Preferably, the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the first-level indicators in the pre-constructed regional biomass resource utilization scheme evaluation index system include at least one of the following Types: economic indicators, environmental indicators, and high-efficiency indicators;

所述经济类指标对应的末级指标包括下述中的至少一种:投资成本、运行成本、检修维护成本、配套工程建设成本、融资率、补贴率、投资/GDP比率、投资/人均收入比率、节能收益、售能收益、副产品销售收益;The end-level indicators corresponding to the economic indicators include at least one of the following: investment cost, operation cost, maintenance cost, supporting project construction cost, financing rate, subsidy rate, investment/GDP ratio, investment/per capita income ratio , energy saving income, energy sales income, by-product sales income;

所述环境类指标对应的末级指标包括下述中的至少一种:二氧化碳排放量、甲烷排放量、硫化物排放量、氮氧化物排放量、颗粒物排放量;The end-level indicators corresponding to the environmental indicators include at least one of the following: carbon dioxide emissions, methane emissions, sulfide emissions, nitrogen oxide emissions, and particulate matter emissions;

所述高效类指标对应的末级指标包括下述中的至少一种:资源蕴藏量、生物质处理设备安装率、生物质处理设备产出率、生物质能源转化效率、生物质能源供能占比、用户设备改造量、用户设备改造成本。The end-level indicators corresponding to the high-efficiency indicators include at least one of the following: resource reserves, biomass treatment equipment installation rate, biomass treatment equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio Ratio, user equipment transformation amount, user equipment transformation cost.

进一步的,所述二氧化碳排放量的计算式如下:Further, the calculation formula of the carbon dioxide emission is as follows:

ECO2=EACO2+EBCO2 E CO2 =EA CO2 +EB CO2

所述甲烷排放量的计算式如下:The formula for calculating the amount of methane emissions is as follows:

ECH4=EACH4+EBCH4 E CH4 =EA CH4 +EB CH4

所述硫化物排放量的计算式如下:The formula for calculating the sulfide emission is as follows:

ESO2=EASO2+EBSO2 E SO2 =EA SO2 +EB SO2

所述氮氧化物排放量的计算式如下:The formula for calculating the emission of nitrogen oxides is as follows:

ENO=EANO+EBNO E NO =EA NO +EB NO

所述颗粒物排放量的计算式如下:The calculation formula of the particle emission is as follows:

Epm=Epm2.5+Epm10 E pm =E pm2.5 +E pm10

上式中,ECO2为年二氧化碳总排放量,EACO2为生物质原料处理加工过程中的年二氧化碳排放量,EBCO2为生物质能源燃烧供能的年二氧化碳排放量,ECH4为年甲烷总排放量,EACH4为生物质原料处理加工过程中的年甲烷排放量,EBCH4为生物质能源传输和使用过程中因泄露等产生的年甲烷排放量,ESO2为年硫化物总排放量,EASO2为生物质原料处理加工过程中的年硫化物排放量,EBSO2为生物质能源燃烧供能的年硫化物排放量,ENO为年氮氧化物总排放量,EANO为生物质原料处理加工过程中的年氮氧化物排放量,EBNO为生物质能源燃烧供能的年氮氧化物排放量,Epm为生物质能源燃烧供能过程中产生的年总颗粒物排放量,Epm2.5为生物质能源燃烧供能过程中产生的年总可吸入颗粒物排放量,Epm10为生物质能源燃烧供能过程中产生的年总灰尘排放量。In the above formula, E CO2 is the total annual carbon dioxide emission, EA CO2 is the annual carbon dioxide emission during the processing of biomass raw materials, EB CO2 is the annual carbon dioxide emission for biomass energy combustion, E CH4 is the annual total methane Emissions, EA CH4 is the annual methane emission during the processing of biomass raw materials, EB CH4 is the annual methane emission caused by leakage in the process of biomass energy transmission and use, E SO2 is the annual total sulfide emission, EA SO2 is the annual sulfide emissions during the processing of biomass raw materials, EB SO2 is the annual sulfide emissions from biomass energy combustion for energy, E NO is the annual total nitrogen oxide emissions, EA NO is the biomass raw materials The annual nitrogen oxide emission during the processing process, EB NO is the annual nitrogen oxide emission of biomass energy combustion for energy, E pm is the annual total particulate matter emission produced in the process of biomass energy combustion for energy, E pm2 .5 is the total annual emission of inhalable particulate matter generated during the combustion of biomass energy for energy, and E pm10 is the total annual dust emission generated during the combustion of biomass energy for energy.

进一步的,所述资源蕴藏量的计算式如下:Further, the formula for calculating the resource reserves is as follows:

Qbio=Qpl+Qan+Qkw+Qcw Q bio =Q pl +Q an +Q kw +Q cw

所述生物质处理设备安装率的计算式如下:The formula for calculating the installation rate of the biomass treatment equipment is as follows:

Figure RE-GDA0004000343630000221
Figure RE-GDA0004000343630000221

所述生物质处理设备产出率的计算式如下:The formula for calculating the output rate of the biomass treatment equipment is as follows:

Figure RE-GDA0004000343630000222
Figure RE-GDA0004000343630000222

所述生物质能源转化效率的计算式如下:The calculation formula of the biomass energy conversion efficiency is as follows:

Figure RE-GDA0004000343630000223
Figure RE-GDA0004000343630000223

所述生物质能源供能占比的计算式如下:The formula for calculating the energy supply ratio of biomass energy is as follows:

Figure RE-GDA0004000343630000224
Figure RE-GDA0004000343630000224

所述用户设备改造量的计算式如下:The formula for calculating the modification amount of the user equipment is as follows:

Figure RE-GDA0004000343630000225
Figure RE-GDA0004000343630000225

所述用户设备改造成本的计算式如下:The formula for calculating the modification cost of the user equipment is as follows:

Figure RE-GDA0004000343630000226
Figure RE-GDA0004000343630000226

上式中,Qbio为转换为标准煤的生物质资源年总获得量,Qpl、Qan、Qkw、Qcw分别为转换为标准煤的农作物秸秆/薪柴、生物排泄物、厨余垃圾和可燃性垃圾的年总获得量,η1为生物质处理设备安装率,Si,bio为第i种生物质处理设备安装容量,Qi,day为第i种生物质原料的日均产生量,η2为生物质处理设备产出率,Wi,bio为将计算单位折算为kWh的第i种生物质处理设备的日产能量,Qi,day为第i种生物质原料的日均产生量,η3为生物质能源转化效率,Qj,out为将计算单位折算为kW的第j种能量转换设备的电/热/冷能输出量,Qj,in为将计算单位折算为kW的第j种能量转换设备的生物质能源输入量,η4为生物质能源供能占比, Qe.bio、Qh.bio、Ql.bio、Qg.bio分别为规划区内由生物质能源提供的电、热、冷、燃气年供能量, Q、Q、Q、Q分别为规划区内电、热、冷、燃气年需求量,η5用户设备改造量,Mbio为需要进行终端用能设备更换或改造的用户数,M为规划区内总用户数,CC(A)用户设备改造总成本等年值,Mbio为需要进行终端用能设备更换或改造的用户数,cci为每户进行终端用能设备更换或改造的所需费用。In the above formula, Q bio is the total annual yield of biomass resources converted into standard coal, and Q pl , Q an , Q kw , and Q cw are crop straw/firewood, biological excrement, and kitchen waste converted into standard coal, respectively. The annual total amount of garbage and combustible garbage, η 1 is the installation rate of biomass treatment equipment, S i,bio is the installed capacity of the i-th biomass treatment equipment, Q i,day is the daily average of the i-th biomass raw material Production amount, η 2 is the output rate of biomass treatment equipment, W i,bio is the daily energy output of the i-th biomass treatment equipment converted into kWh, Q i,day is the day of the i-th biomass raw material The average output, η 3 is the conversion efficiency of biomass energy, Q j,out is the electricity/heat/cold energy output of the jth energy conversion equipment converted into kW, and Q j,in is the conversion of the calculation unit is the biomass energy input of the jth energy conversion equipment in kW, η 4 is the proportion of biomass energy supply, Q e.bio , Q h.bio , Q l.bio , Q g.bio are the planning area The annual energy supply of electricity, heat, cooling and gas provided by biomass energy, Q , Q , Q , Q are the annual demand for electricity, heat, cooling and gas in the planning area respectively, η 5 user equipment transformation M bio is the number of users who need to replace or transform terminal energy-consuming equipment, M is the total number of users in the planning area, the total cost of CC(A) user equipment transformation, etc. or the number of modified users, cc i is the cost required for the replacement or modification of end-use equipment for each household.

进一步的,所述各个末级评价指标的权重系数的计算式如下:Further, the calculation formula of the weight coefficients of each final evaluation index is as follows:

ω=0.5ω1+0.5ω2 ω=0.5ω 1 +0.5ω 2

上式中,ω为末级评价指标的权重系数向量,ω1、ω2分别为第一权重系数向量和第二权重系数向量。In the above formula, ω is the weight coefficient vector of the final evaluation index, and ω 1 and ω 2 are the first weight coefficient vector and the second weight coefficient vector respectively.

进一步的,所述基于所述各末级评价指标的指标值及所述各末级评价指标的权重系数确定区域生物质资源利用方案的综合评价值,包括:Further, the determination of the comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index includes:

对所述各末级评价指标的指标值进行趋势化处理,得到各末级评价指标的指标标准值;Performing trend processing on the index values of each final evaluation index to obtain the index standard value of each final evaluation index;

基于所述区域生物质资源利用方案对于各末级评价指标的指标标准值确定区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值;Determine the evaluation value of the regional biomass resource utilization plan in the pre-constructed regional biomass resource utilization plan evaluation index system for each first-level index based on the standard value of the regional biomass resource utilization plan for each final evaluation index index standard value;

基于所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值确定区域生物质资源利用方案的综合评价值。The comprehensive evaluation value of the regional biomass resource utilization plan is determined based on the evaluation values of the first-level indicators in the pre-built regional biomass resource utilization plan evaluation index system of the regional biomass resource utilization plan.

进一步的,所述区域生物质资源利用方案在预先构建的区域生物质资源利用方案评价指标体系中各一级指标的评价值的计算式如下:Further, the calculation formula of the evaluation value of each first-level index in the pre-constructed regional biomass resource utilization scheme evaluation index system of the regional biomass resource utilization scheme is as follows:

Figure RE-GDA0004000343630000231
Figure RE-GDA0004000343630000231

上式中,vip为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的评价值,

Figure RE-GDA0004000343630000232
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最劣值之间的欧氏距离,
Figure RE-GDA0004000343630000241
为区域生物质资源利用方案i在预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的指标值与第p个一级指标的最优值之间的欧氏距离。In the above formula, v ip is the evaluation value of the pth first-level index of the regional biomass resource utilization scheme i in the pre-constructed regional biomass resource utilization scheme evaluation index system,
Figure RE-GDA0004000343630000232
is the Euclidean distance between the index value of the pth first-level index and the worst value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i,
Figure RE-GDA0004000343630000241
is the Euclidean distance between the index value of the pth first-level index and the optimal value of the pth first-level index in the pre-constructed regional biomass resource utilization plan evaluation index system for regional biomass resource utilization scheme i.

进一步的,所述区域生物质资源利用方案的综合评价值的计算式如下:Further, the formula for calculating the comprehensive evaluation value of the regional biomass resource utilization scheme is as follows:

vci=∑pωpvip v ci =∑ p ω p v ip

上式中,vci为区域生物质资源利用方案i的综合评价值,ωp为预先构建的区域生物质资源利用方案评价指标体系中第p个一级指标的权重系数,p=1,2,3。In the above formula, v ci is the comprehensive evaluation value of regional biomass resource utilization scheme i, ω p is the weight coefficient of the pth primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system, p=1,2 ,3.

实施例3Example 3

基于同一种发明构思,本发明还提供了一种计算机设备,该计算机设备包括处理器以及存储器,所述存储器用于存储计算机程序,所述计算机程序包括程序指令,所述处理器用于执行所述计算机存储介质存储的程序指令。处理器可能是中央处理单元(CentralProcessing Unit,CPU),还可以是其他通用处理器、数字信号处理器(Digital SignalProcessor、DSP)、专用集成电路(Application SpecificIntegrated Circuit,ASIC)、现成可编程门阵列 (Field-Programmable GateArray,FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等,其是终端的计算核心以及控制核心,其适于实现一条或一条以上指令,具体适于加载并执行计算机存储介质内一条或一条以上指令从而实现相应方法流程或相应功能,以实现上述实施例中一种区域能源互联网规划方法的步骤。Based on the same inventive concept, the present invention also provides a computer device, the computer device includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the Program instructions stored on a computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays ( Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading And execute one or more instructions in the computer storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of a regional energy Internet planning method in the above-mentioned embodiment.

实施例4Example 4

基于同一种发明构思,本发明还提供了一种存储介质,具体为计算机可读存储介质 (Memory),所述计算机可读存储介质是计算机设备中的记忆设备,用于存放程序和数据。可以理解的是,此处的计算机可读存储介质既可以包括计算机设备中的内置存储介质,当然也可以包括计算机设备所支持的扩展存储介质。计算机可读存储介质提供存储空间,该存储空间存储了终端的操作系统。并且,在该存储空间中还存放了适于被处理器加载并执行的一条或一条以上的指令,这些指令可以是一个或一个以上的计算机程序(包括程序代码)。需要说明的是,此处的计算机可读存储介质可以是高速RAM存储器,也可以是非不稳定的存储器 (non-volatile memory),例如至少一个磁盘存储器。可由处理器加载并执行计算机可读存储介质中存放的一条或一条以上指令,以实现上述实施例中一种区域能源互联网规划方法的步骤。Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here may include a built-in storage medium in the computer device, and of course may also include an extended storage medium supported by the computer device. The computer-readable storage medium provides storage space, and the storage space stores the operating system of the terminal. Moreover, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions may be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor, so as to realize the steps of a regional energy internet planning method in the above-mentioned embodiment.

本领域内的技术人员应明白,本发明的实施例可提供为方法、系统、或计算机程序产品。因此,本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且,本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和 /或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和 /或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器,使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上,使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

最后应当说明的是:以上实施例仅用以说明本发明的技术方案而非对其限制,尽管参照上述实施例对本发明进行了详细的说明,所属领域的普通技术人员应当理解:依然可以对本发明的具体实施方式进行修改或者等同替换,而未脱离本发明精神和范围的任何修改或者等同替换,其均应涵盖在本发明的权利要求保护范围之内。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall fall within the protection scope of the claims of the present invention.

Claims (11)

1. A regional energy Internet planning method is characterized by comprising the following steps:
acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme evaluation index system constructed in advance in the region biomass resource utilization scheme;
determining a weight coefficient of each final-stage evaluation index based on a first weight coefficient and a second weight coefficient of each final-stage evaluation index;
determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index;
selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes, and performing energy Internet planning on the region by using the optimal regional biomass resource utilization scheme;
and obtaining a first weight coefficient and a second weight coefficient of each final-stage evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system based on an analytic hierarchy process and an entropy weight process respectively.
2. The method of claim 1, wherein the pre-constructed regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the primary indicator in the pre-constructed regional biomass resource utilization scheme evaluation index system comprises at least one of: economic index, environmental index and high-efficiency index;
the final-stage index corresponding to the economic index comprises at least one of the following indexes: investment cost, operation cost, overhaul and maintenance cost, supporting engineering construction cost, capital fusion rate, subsidy rate, investment/GDP rate, investment/per-capita income rate, energy-saving income, energy-selling income and byproduct sales income;
the final-stage index corresponding to the environment type index comprises at least one of the following indexes: carbon dioxide emission, methane emission, sulfide emission, nitrogen oxide emission and particulate matter emission;
the final level index corresponding to the high-efficiency class index comprises at least one of the following indexes: the biomass energy conversion system comprises the following components of resource storage amount, biomass processing equipment installation rate, biomass processing equipment output rate, biomass energy conversion efficiency, biomass energy supply ratio, user equipment modification amount and user equipment modification cost.
3. The method of claim 2, wherein the carbon dioxide emissions are calculated as follows:
E CO2 =EA CO2 +EB CO2
the calculation formula of the methane emission is as follows:
E CH4 =EA CH4 +EB CH4
the calculation formula of the emission of the sulfide is as follows:
E SO2 =EA SO2 +EB SO2
the calculation formula of the emission of the nitrogen oxides is as follows:
E NO =EA NO +EB NO
the calculation formula of the particulate matter emission is as follows:
E pm =E pm2.5 +E pm10
in the above formula, E CO2 EA being the total annual carbon dioxide emission CO2 Annual carbon dioxide emission, EB, in biomass feedstock processing CO2 Annual carbon dioxide emission for biomass energy combustion CH4 For the total annual methane emission, EA CH4 Annual methane emission, EB, in biomass feedstock processing CH4 Annual methane emission due to leakage and the like in the process of biomass energy transmission and use, E SO2 EA being the total emission of annual sulfides SO2 Annual sulphide emission, EB, in biomass feedstock processing SO2 Annual sulphide emission, E, for the combustion of biomass energy NO EA being the total emission of nitrogen oxides NO Annual nitrogen oxide emissions, EB, during processing of biomass feedstock NO Annual nitrogen oxide emissions, E, for the combustion of biomass energy pm Annual total particulate matter emission, E, produced during the process of supplying energy for the combustion of biomass energy pm2.5 Total annual inhalable particulate matter emission, E, generated during the process of supplying energy for biomass energy combustion pm10 The total annual dust emission generated in the process of supplying energy for biomass energy combustion.
4. The method of claim 2, wherein the resource inventory is calculated as follows:
Q bio =Q pl +Q an +Q kw +Q cw
the calculation formula of the installation rate of the biomass processing equipment is as follows:
Figure FDA0003753421820000021
the output rate of the biomass processing equipment is calculated according to the following formula:
Figure FDA0003753421820000022
the calculation formula of the biomass energy conversion efficiency is as follows:
Figure FDA0003753421820000023
the calculation formula of the energy supply ratio of the biomass energy sources is as follows:
Figure FDA0003753421820000024
the calculation formula of the user equipment modification amount is as follows:
Figure FDA0003753421820000031
the calculation formula of the user equipment reconstruction cost is as follows:
Figure FDA0003753421820000032
in the above formula, Q bio For conversion to annual total biomass resource availability, Q, for standard coal pl 、Q an 、Q kw 、Q cw Are respectively a rotationAnnual total yield, eta, of crop straw/firewood, biological excreta, kitchen waste and combustible waste converted to standard coal 1 For installation rate of biomass processing equipment, S i,bio Installation capacity, Q, for biomass processing plant of the ith category i,day Is the daily average production of the ith biomass feedstock, eta 2 For biomass processing plant output rate, W i,bio To convert the units of calculation into the energy of daily production, Q, of a biomass processing plant of the ith type, kWh i,day Is the daily average yield, eta, of the ith biomass material 3 For biomass energy conversion efficiency, Q j,out electric/Heat/Cold energy output quantity, Q, of the jth energy conversion apparatus for converting the calculation unit into kW j,in To convert the unit of calculation into kW, the biomass energy input, eta of the jth energy conversion apparatus 4 Energy supply ratio for biomass energy, Q e.bio 、Q h.bio 、Q l.bio 、Q g.bio Respectively supplying energy Q to electricity, heat, cold and fuel gas provided by biomass energy sources in a planning area in year 、Q 、Q 、Q The annual demand, eta, of electricity, heat, cold and gas in the planning area 5 Amount of modification of user equipment, M bio The number of users needing to replace or modify the energy equipment of the terminal, M is the total number of users in the planning area, CC (A) the total cost of the modification of the user equipment, and the like, M bio Number of users, cc, who need to change or modify the energy equipment of the terminal i The cost required for replacing or transforming the energy utilization equipment of the terminal is carried out for each household.
5. The method according to claim 2, wherein the weight coefficient of each final evaluation index is calculated as follows:
ω=0.5ω 1 +0.5ω 2
in the above formula, ω is a weight coefficient vector of the final evaluation index, ω 1 、ω 2 A first weight coefficient vector and a second weight coefficient vector, respectively.
6. The method of claim 2, wherein determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final evaluation index and the weight coefficient of each final evaluation index comprises:
trending the index values of the evaluation indexes of the last stages to obtain index standard values of the evaluation indexes of the last stages;
determining the evaluation value of each level index of the regional biomass resource utilization scheme in a pre-constructed regional biomass resource utilization scheme evaluation index system based on the index standard value of the regional biomass resource utilization scheme for each final-level evaluation index;
and determining a comprehensive evaluation value of the regional biomass resource utilization scheme based on the evaluation values of the primary indexes of the regional biomass resource utilization scheme in a pre-constructed regional biomass resource utilization scheme evaluation index system.
7. The method of claim 6, wherein the evaluation value of each primary index of the regional biomass resource utilization scheme in the pre-constructed regional biomass resource utilization scheme evaluation index system is calculated by the following formula:
Figure FDA0003753421820000041
in the above formula, v ip The evaluation value of the p-th primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system is used for the regional biomass resource utilization scheme i,
Figure FDA0003753421820000042
according to the regional biomass resource utilization scheme i, the Euclidean distance between the index value of the p-th primary index and the worst value of the p-th primary index in a pre-constructed regional biomass resource utilization scheme evaluation index system,
Figure FDA0003753421820000043
for regional biomass resource utilization scheme iAnd evaluating the Euclidean distance between the index value of the p-th primary index and the optimal value of the p-th primary index in the index system by the aid of a pre-constructed regional biomass resource utilization scheme.
8. The method of claim 7, wherein the overall evaluation value of the regional biomass resource utilization scheme is calculated as follows:
v ci =∑ p ω p v ip
in the above formula, v ci Is a comprehensive evaluation value, omega, of a regional biomass resource utilization scheme i p And evaluating the weight coefficient of the p-th primary index in the index system for the pre-constructed regional biomass resource utilization scheme, wherein p =1,2,3.
9. An regional energy internet planning apparatus, the apparatus comprising:
the system comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme in a pre-constructed region biomass resource utilization scheme evaluation index system;
a first determining module, configured to determine a weight coefficient of each final evaluation index based on a first weight coefficient and a second weight coefficient of each final evaluation index, respectively;
a second determination module, configured to determine a comprehensive evaluation value of the regional biomass resource utilization scheme based on the index value of each final-stage evaluation index and the weight coefficient of each final-stage evaluation index;
the planning module is used for selecting an optimal regional biomass resource utilization scheme from the regional biomass resource utilization schemes based on the comprehensive evaluation value of the regional biomass resource utilization schemes and planning the energy Internet of the region by using the optimal regional biomass resource utilization scheme;
and obtaining a first weight coefficient and a second weight coefficient of each final-stage evaluation index in the pre-constructed regional biomass resource utilization scheme evaluation index system based on an analytic hierarchy process and an entropy weight process respectively.
10. A computer device, comprising: one or more processors;
the processor to store one or more programs;
the one or more programs, when executed by the one or more processors, implement the regional energy internet planning method of any of claims 1 to 8.
11. A computer-readable storage medium having stored thereon a computer program which, when executed, implements a regional energy internet planning method according to any one of claims 1 to 8.
CN202210850889.7A 2022-07-19 2022-07-19 Regional energy Internet planning method and device Pending CN115660303A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118095650A (en) * 2024-04-17 2024-05-28 深圳碳中和生物燃气股份有限公司 Control method for carbon neutralization steel production process based on biomass energy conversion

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118095650A (en) * 2024-04-17 2024-05-28 深圳碳中和生物燃气股份有限公司 Control method for carbon neutralization steel production process based on biomass energy conversion

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