CN115660303A - Regional energy Internet planning method and device - Google Patents
Regional energy Internet planning method and device Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- biomass
- resource utilization
- energy
- index
- regional
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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
Technical Field
The invention relates to the technical field of energy internet planning, in particular to a regional energy internet planning method and device.
Background
With the development of modernization, the energy consumption requirements of various agricultural industries and the lives of residents tend to be diversified, efficient and clean, and the energy consumption demand is also obviously increased. Energy supply is used as an important infrastructure and public service, and planning and construction of an energy internet and a multi-energy supply system are technical means for realizing economical, clean and efficient energy supply and utilization.
At present, in the aspects of planning and construction of energy internet and multi-energy supply systems, the characteristics of large energy utilization scene difference, large energy utilization demand difference, large energy resource difference, large resource utilization capacity difference and the like exist in the aspects of resource and energy utilization, and how to realize economic, clean and efficient energy supply by establishing the intrinsic resources of the energy internet and the multi-energy supply systems is a problem to be solved urgently. In addition, under the trend of low energy consumption and carbonization, biomass energy sources such as cultivation manure, crop straws, household garbage of residents and the like are required to be fully and efficiently utilized. The energy consumption comprises production energy, living energy and public service facility energy, and comprises energy forms such as electricity demand, gas demand, heat demand, cold demand and the like, and the energy sources mainly comprise commercial energy such as electric energy, fuel oil, natural gas, coal, coke and the like. A large amount of biomass waste is generated in agricultural production and life, and the biomass energy contained in the biomass waste can be fully utilized to provide electricity/gas/heat/cold supply, and the damage of the biomass waste to the environment can be effectively reduced. The available biomass resources mainly comprise straw, firewood, livestock manure, household garbage and other biomass wastes. Biomass resources can be classified into low-efficiency utilization, medium-efficiency utilization and high-efficiency utilization according to energy utilization efficiency and environmental impact: direct combustion energy supply of firewood, straws and animal manure and direct landfill treatment of garbage are biomass energy utilization and treatment modes with the lowest cost, the energy conversion rate is low, the environmental pollution is serious, and low-efficiency utilization is achieved; the utilization and treatment modes of the modern biomass fuel, such as biomass biogas gasification, straw curing and forming, straw carbonization and the like, can effectively improve the energy conversion rate and reduce the environmental pollution, and belong to medium-efficiency utilization; the biomass methane, the combustible garbage and other power generation, combined heat and power supply and combined heat and power cooling supply modes are utilized for energy supply, the energy conversion rate is high, the pollution emission is less, and the method belongs to efficient clean utilization. The regions of China are wide, typical energy utilization scenes are various, the types and the reserves of biomass resources are greatly different, the environmental conditions and the social and economic levels of the regions are different, and the utilization modes of the biomass resources also have various choices.
Therefore, it is necessary to establish an energy internet planning method based on multiple attributes of a biomass resource utilization scheme and based on the distribution, the type, the storage capacity and the energy demand of biomass resources, which can be applied to the economic and social development levels and natural resource conditions of different typical regions. The method can be suitable for different typical energy utilization scenes, and provides important basis for the construction of an energy supply system.
At present, except for a power supply system, other energy supply systems such as a fuel gas supply system, a heat supply system and the like are not completely constructed, and an energy supply system is not complete. In addition, in the existing planning method for the energy internet and the multi-energy coupling system, a single utilization scheme of biomass resources contained in the local is brought into a planning model, however, the related research on how to decide the utilization scheme of the biomass resources is not sufficient, and a comprehensive evaluation method for the utilization scheme of the biomass resources in the aspects of economy, environmental protection, energy utilization efficiency and the like is lacked, so that the applicability of the planning scheme to an energy utilization scene is insufficient, and the utilization of the biomass resources is insufficient. Therefore, a convenient and effective energy internet planning method needs to be researched to screen the configuration scheme of the biomass energy supply equipment and provide a basis for the construction of a subsequent energy supply system.
Disclosure of Invention
In order to overcome the defects, the invention provides a regional energy Internet planning method and a device.
In a first aspect, a regional energy internet planning method is provided, and the regional energy internet planning method includes:
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 evaluation index based on a first weight coefficient and a second weight coefficient of each final 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.
Preferably, the pre-established regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the primary index in the pre-established regional biomass resource utilization scheme evaluation index system comprises at least one of the following: 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, financing rate, subsidy rate, investment/GDP ratio, investment/per-capita income ratio, energy-saving income, energy selling income and byproduct selling 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-stage index corresponding to the high-efficiency 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.
Further, the calculation formula of the emission amount of carbon dioxide is 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 amount of 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, the total emission of nitrogen oxides NO Year of biomass raw material processingEmission of nitrogen oxides, EB 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.
Further, the calculation formula of the resource deposit amount is 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:
the output rate of the biomass processing equipment is calculated according to the following formula:
the calculation formula of the biomass energy conversion efficiency is as follows:
the calculation formula of the energy supply ratio of the biomass energy sources is as follows:
the calculation formula of the user equipment modification amount is as follows:
the calculation formula of the user equipment reconstruction cost is as follows:
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 Respectively the annual total yield, eta, of the crop straw/firewood, the biological excrement, the kitchen waste and the combustible waste which are converted into 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 For converting the unit of calculation into kWh, the daily energy production of biomass processing plants of the i th type, Q i,day Is the daily average production of the ith biomass feedstock, eta 3 For biomass energy conversion efficiency, Q j,out Electric/thermal/cold energy output quantity, Q, of jth energy conversion apparatus for converting 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 eΣ 、Q hΣ 、Q lΣ 、Q gΣ The annual demand, eta, of electricity, heat, cold and gas in the planning area 5 Amount of user equipment improvement, 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.
Further, the calculation formula of the weight coefficient of each final evaluation index is 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.
Further, the 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 includes:
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.
Further, the calculation formula of 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 as follows:
in the above formula, v ip An evaluation value of the p-th primary index in a pre-constructed regional biomass resource utilization scheme evaluation index system for the regional biomass resource utilization scheme i,
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,
and (3) 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 pre-constructed regional biomass resource utilization scheme evaluation index system for the regional biomass resource utilization scheme i.
Further, the calculation formula of the comprehensive evaluation value of the regional biomass resource utilization scheme is 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 a pre-constructed regional biomass resource utilization scheme, wherein p =1,2,3.
In a second aspect, a regional energy internet planning apparatus is provided, which includes:
the acquisition module is used for acquiring index values of all final-stage evaluation indexes of a region biomass resource utilization scheme evaluation index system which is constructed in advance in a region biomass resource utilization scheme;
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.
In a third aspect, a computer device is provided, 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.
In a fourth aspect, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed, implements the regional energy internet planning method.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
the invention provides a regional energy Internet planning method and a device, 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. According to the technical scheme provided by the invention, a multi-attribute evaluation system of the biomass resource utilization scheme is established according to the endowment and multi-energy demand of modern biomass resources, so that the comprehensive evaluation of the biomass resource utilization scheme on the economic, environmental protection and high-efficiency equivalent attributes can be realized;
furthermore, according to the technical scheme provided by the invention, index importance weights of all levels are obtained by a subjective and objective combination method, and further, comprehensive sequencing of different biomass resource utilization schemes is realized by adopting an approximate ideal solution sequencing method (TOPSIS method), and a scheme set is obtained by primary screening; an energy internet three-layer optimization planning model is established, a biomass resource utilization scheme solution set and relevant parameters are brought into the planning model, and an energy internet planning scheme is obtained by solving the planning model, so that a basis is provided for the construction of a subsequent energy supply system.
Drawings
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;
fig. 2 is a main structural block diagram of a regional energy internet planning apparatus according to an embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, 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 with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating main steps of a regional energy internet planning method according to an embodiment of the present invention. As shown in fig. 1, the method for planning regional energy internet in the embodiment of the present invention mainly includes the following steps:
step S101: 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;
step S102: 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;
step S103: 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;
step S104: 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 scheme, and planning the energy Internet for 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.
In this embodiment, the weight coefficient is a numerical value for measuring the relative importance of each index in the comprehensive evaluation, and is generally expressed in a relative number form. Since the multi-index synthesis generally adopts a weighted average method, the determination of the weight directly influences the result of the comprehensive evaluation. The comprehensive evaluation index system of the biomass resource utilization scheme comprises 3 types and 8 groups of 23 indexes, and the decision-making emphasis points in different regions and different energy utilization scenes are different, so that a scientific and reasonable index weight setting method is needed, and technical support is provided for evaluating the biomass resource utilization scheme in a specific region.
(1) Analytic hierarchy process
Analytic Hierarchy Process (AHP) refers to a decision-making method for analyzing elements always related to decision-making into levels such as targets, criteria, schemes and the like, and performing qualitative and quantitative analysis on the basis. And respectively solving the weights of the evaluation indexes of the criterion layer and the element layer by using an expert scoring method, wherein the index weight of each layer can be determined according to the following steps.
1) Forming expert group and forming expert questionnaire by expert scoring
2) Consistency checking questionnaire for constructing judgment matrix
And forming a judgment matrix B by an expert scoring table, carrying out consistency check on each judgment matrix, and carrying out inspection after correcting the matrix which does not pass the consistency check so as to reduce subjectivity and ensure the reasonability and correctness of a judgment result.
3) Calculating the weight of the index
Calculating the maximum eigenvalue lambda of the judgment matrix B max And its corresponding feature vector v:
Bv＝λ max v
solving the weight omega of each evaluation index analytic hierarchy process according to the characteristic vector v 1 i ：
(2) Entropy weight method
Certain index values of all the biomass resource utilization schemes tend to be consistent, which shows that the indexes have little influence on scheme decision, and the weight of the indexes is relatively small; if the index value difference is large, the influence of the index on the scheme decision is large, and the weight of the index is relatively large. The difference between such index values can be described by the entropy of the information.
The basic idea of the entropy weight method is to quantize information contained in various differences of individual index values, and further establish an entropy-based index weight model, wherein the index weight of each layer can be determined according to the following steps.
1) Structural evaluation index matrix
The evaluation index matrix is:
in the formula, x ij And j-th evaluation index value representing the ith biomass resource utilization scheme.
And (3) carrying out normalization post-processing on the matrix X to obtain an error evaluation matrix D:
2) Calculating an entropy value
By definition of entropy, the importance entropy value of the evaluation index j to each biomass resource utilization scheme is as follows:
3) Calculating the weight of the index
Entropy weight method weight omega of each evaluation index 2 j Comprises the following steps:
(3) Subjective and objective combination method
The index weight is a specific gravity that quantitatively reflects the magnitude of the contribution of each index in fulfilling the predetermined requirements of the object. The determination of the index weight can make the evaluation work have different primary and secondary, and grasp the effect of the main contradiction. In order to enable the determined index weight to not only consider expert experience, but also combine objective practice, an objective and subjective combination method combining an analytic hierarchy process and an entropy weight method can be adopted to determine the index weight, namely, after the hierarchical analytic hierarchy process and the entropy weight method are respectively adopted to calculate the weight of each subentry index, the subentry index is combined according to a certain percentage to obtain the final index weight. The calculation formula of the weight coefficient of each final evaluation index is 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.
In the embodiment, because the economic levels of different regions, the living standards of residents, the social development conditions and the climate and environment conditions have larger differences, and the types and reserves of main biomass resources of different typical energy utilization scenes have larger differences, how to utilize the biomass resources is more reasonable, comprehensive evaluation in various aspects such as economy, environmental protection, energy utilization efficiency and the like is needed, and an evaluation index system for evaluating the comprehensive value of a modern biomass resource utilization scheme is established on the basis of the principle that the biomass resources are fully consumed and adapt to the typical energy utilization scenes.
Considering three aspects of economy, environmental protection and high efficiency, a biomass resource utilization scheme evaluation system is established. Under different typical energy consumption scenes such as an agricultural park, the construction fund which can be obtained, the fund investment which can be born, the realized functional effect, the brought additional benefit and the like have great difference; the method is limited by capital investment and natural environment, and the requirements for environmental protection and resource utilization efficiency under different typical energy utilization scenes are different. Therefore, the comprehensive value of the biomass resource utilization scheme needs to be evaluated from multiple aspects and angles. The invention adopts a mode of establishing a multi-attribute evaluation system and establishes an evaluation index of a biomass resource utilization scheme.
The method adopts a hierarchical multi-attribute index system to evaluate three attributes of index investigation resource utilization cost, capital acquisition capacity and operation income of economic attributes, and 11 refinement indexes are provided in total; indexes for evaluating the environmental protection property investigate two properties of carbon emission and harmful substance emission, and the total number of the indexes is 5; and evaluating indexes of the high-efficiency attributes, namely three attributes of resource utilization rate, energy conversion efficiency and energy utilization convenience, and 7 thinning indexes are provided.
Specifically, the pre-established regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the primary index in the pre-established regional biomass resource utilization scheme evaluation index system comprises at least one of the following: 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, financing rate, subsidy rate, investment/GDP ratio, investment/per-capita income ratio, energy-saving income, energy selling income and byproduct selling income;
the final level 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 efficiency is improved, and the biomass energy conversion efficiency is improved.
In one embodiment of the method of the present invention,
the different utilization modes of biomass resources bring great difference of required funds, and the funds required by the same utilization mode are also greatly different in different typical energy utilization scenes such as agricultural parks. If a biogas project is adopted to process biomass resources, a gas turbine and a local heating/cooling system are required to be configured in farms and facility agriculture; a conveying pipe network is required to be constructed in a matched manner for supplying or heating air for the resident gathering village; the collection and transportation of biomass waste for scattered farmers requires high transportation costs and transportation energy consumption. How to decide a biomass resource utilization scheme, the capital requirement is an important decision factor, so the resource utilization cost needs to be measured by 4 indexes of investment cost, operation cost, overhaul and maintenance cost and supporting engineering construction cost.
1) Investment cost
The investment cost comprises the purchase cost of equipment required for converting the biomass resource into the usable energy, the installation cost of the equipment and the engineering construction cost, and the investment cost calculation method comprises the following steps:
in the formula: CI (A) is the equal annual value of the investment cost; n is the economic service life; alpha is the discount rate; m is the equipment type; n is a radical of m The total amount of the m-th equipment; ci m Is the unit investment cost of the m-th equipment.
2) Running cost
The operation cost comprises energy consumption cost, biomass resource collection and transportation cost, operator cost and the like required in the biomass resource processing and conversion process, and the operation cost calculation method comprises the following steps:
in the formula: CO (A) is the annual value of the operating cost; co is a mixture of m Is the unit operating cost of the m-th class of equipment.
3) Cost of overhaul and maintenance
The method for calculating the maintenance cost comprises the following steps:
in the formula: CM (A) is the annual value of the maintenance cost; cm m The maintenance cost is the unit repair and maintenance cost of the m-th equipment.
4) Construction cost of supporting project
The supporting engineering construction cost comprises the supporting engineering cost of biomass resource collection and transportation, the supporting engineering cost of conveying the energy converted from the biomass resource to a conveying channel which needs to be additionally constructed by a user, and the supporting engineering cost of the processing and processing facilities of the capacity remainder, and the supporting engineering construction cost calculation method comprises the following steps:
in the formula: CF (A) is the equal annual value of the construction cost of the matched engineering; n is a radical of k The total amount of the kth matched engineering equipment; cf k The investment cost is the unit investment cost of the kth matched engineering equipment.
The economic and social development level of different regions is greatly different, and the financing capacity and the investment bearing capacity are greatly different. The commercial investment and subsidies for the development and utilization of energy resources are also increased, and the subsidies for strengthening the results are inclined to the region. However, under different typical energy utilization scenes, loan repayment capacity, funding capacity and the like are greatly different, and the decision on the biomass resource utilization scheme is obviously influenced, so that the fund obtaining capacity needs to be measured by 4 indexes of financing rate, subsidy rate, investment/GDP rate and investment/per-capita income rate.
1) Rate of financing
The fusion rate calculation method comprises the following steps:
in the formula: b B The rate of financing; c B Financing is available (including various channels such as bank loans, business and personal contributions).
2) Rate of subsidy
The subsidy rate calculation method is as follows:
in the formula: b is G The subsidy rate is; c G Subsidizing the available funds.
3) investment/GDP ratio
The investment/GDP ratio calculation method is as follows:
in the formula: b is GDP As investment/GDP ratio; c GDP The total production value is produced in local year.
4) Ratio of investment/average income
The method for calculating the ratio of investment to average income is as follows:
in the formula: b is P Is the investment/per-capita income ratio; c P Is income for local people.
The clean treatment of the biomass resource can not only extract and utilize the biomass energy contained in the biomass resource, thereby reducing the energy purchase cost, but also sell the byproducts for profit. The collateral gains of biomass resource programs should also be factored into the assessment based on cost-benefit analysis. Therefore, the operation income needs to be measured by 3 indexes of energy-saving income, energy selling income and byproduct selling income.
1) Energy saving benefit
The energy-saving benefit is reduced energy purchase cost by adopting biomass resource energy supply to replace commercial energy purchase, and the energy-saving benefit calculation method comprises the following steps:
in the formula: c s1 The energy is saved; w 1i The total amount of purchased ith commercial energy source reduced by adopting biomass resources for energy supply every year; omega i Is the unit price of the ith commercial energy source.
2) Energy sales revenue
The energy selling profit is the profit obtained by selling energy after the biomass resource is utilized for producing energy, and the method for calculating the energy selling profit comprises the following steps:
in the formula: c s2 The energy is saved; w 2i The total sales of the ith energy source per year; omega 2i Is the selling price of the ith energy source.
3) Revenue of by-product sales
The byproduct sales income is income obtained by processing residues after the biomass resource is produced into commodities (such as fertilizers) for sale, and the calculation method of the byproduct sales income comprises the following steps:
in the formula: c s3 Earnings for by-product sales; w 3i Total sales of ith by-products per year;ω 3i is the selling price of the ith byproduct.
Although carbon in the whole process from generation to utilization of biomass resources is circularly absorbed and discharged, the greenhouse effect generated by different resource utilization modes is greatly different, wherein the greenhouse effect of methane is dozens of times of that of carbon dioxide, and the important requirement of environmental protection is to avoid the natural fermentation mode to treat the biomass wastes as far as possible so as to reduce the methane discharge. Carbon emissions therefore need to be measured in terms of 2 indicators of carbon dioxide emissions and methane emissions.
The emission of carbon dioxide comprises the emission generated in the process of processing biomass resources and the emission generated in the process of using energy products, and the emission of carbon dioxide is calculated according to the following formula:
E CO2 ＝EA CO2 +EB CO2
the emission of methane comprises the emission generated in the processing process of biomass resource treatment and the emission generated in the process of using energy products, and the emission of methane is calculated according to the following formula:
E CH4 ＝EA CH4 +EB CH4
the processing and utilization modes of biomass resources have great difference in the discharge types and discharge amount of harmful substances. For example, returning crop straws to the field not only discharges methane, but also discharges sulfides and nitrogen oxides into the air; the solid fuel processed by the method can discharge sulfide, nitrogen oxide and smoke dust into the air in the combustion and energy supply process; the emission reduction effect of the small-sized dispersed straw biogas device is lower than that of large and medium centralized biogas engineering. Different utilization schemes are adopted for various biomass wastes, the cleaning and environment-friendly effects of the biomass wastes need to be effectively evaluated, and therefore 3 indexes of sulfide emission, nitrogen oxide emission and particulate matter emission need to be adopted to measure the emission of harmful substances in the aspect of resource utilization and cleanness.
The emission of the sulfide comprises the emission generated in the process of processing the biomass resource and the emission generated in the process of using the energy product, and the emission of the sulfide is calculated according to the following formula:
E SO2 ＝EA SO2 +EB SO2
the emission of nitrogen oxides comprises the emission generated in the biomass resource treatment processing process and the emission generated in the energy product using process, and the emission of nitrogen oxides is calculated according to the following formula:
E NO ＝EA NO +EB NO
the emission of the particulate matters comprises the emission of inhalable particulate matters and the emission of other dust particulate matters generated in the combustion energy supply process of the biomass energy source, and the emission of the particulate matters is calculated by the following formula:
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 emissions, E, for the supply of energy for the combustion of biomass energy 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 during biomass energy transmission and use, E SO2 EA being the total annual sulphide emission 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, in the processing of biomass feedstocks 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.
Further, in a typical energy use situation such as an agricultural park, the differences in the types and the contents of biomass resources are significant, and the exploitable rate, the development scale and the development depth of the biomass resources are limited by capital ability and natural environmental conditions, so that the utilization degree of the biomass resources is evaluated from the aspects of resource scale and treatable scale, and evaluation indexes of various resource utilization schemes are calculated in a form of converting into a unified dimension. The resource utilization cost needs to be measured by 2 indexes of resource storage amount and biomass processing equipment installation rate.
The resource storage amount comprises a crop straw/firewood storage amount, a biological excrement storage amount, a kitchen garbage storage amount and a combustible garbage storage amount, and the resource storage amount is calculated according to the following formula:
Q bio ＝Q pl +Q an +Q kw +Q cw
the biomass processing equipment installation rate represents the installable capacity of biomass resource processing equipment under the condition of the same biomass raw material production amount, and embodies the processing capacity of the biomass resource, and the biomass processing equipment installation rate is calculated by the following formula:
energy is extracted from biomass resources and utilized, and the energy conversion efficiency is an important index for evaluating the high efficiency of a resource utilization scheme. Under the condition of biomass resources with the same scale, the difference of the output of different processing schemes represents the capacity of extracting energy from biomass by using the resource utilization scheme; the output of secondary energy (electricity/heat/cold) at the same biomass energy scale characterizes the energy utilization of the resource utilization scheme. Therefore, the energy conversion efficiency needs to be measured by 2 indexes of the output capacity of the biomass processing equipment and the biomass energy conversion efficiency by calculating the energy input quantity and the output quantity in a unified dimensional form.
The output rate of the biomass processing equipment represents the daily output energy of the biomass resource processing equipment under the condition of the same biomass raw material output, and reflects the conversion efficiency of converting biomass resources into biomass energy, and the output rate of the biomass processing equipment is calculated according to the following formula:
the biomass energy conversion efficiency represents the conversion efficiency when the biomass energy is converted into electricity/heat/cold energy, and the calculation formula of the biomass energy conversion efficiency is as follows:
energy is extracted from biomass resources and utilized, and the change of energy extraction mode necessarily causes the change of energy utilization mode of a receiving end. Compared with high-randomness energy sources such as wind-solar power generation, the biomass energy source has higher energy supply controllability, so that the higher the proportion of energy supplied by local biomass energy sources in energy utilization requirements is, the better the convenience of representing the energy utilization is, and the higher the development value of biomass resources is. Meanwhile, the energy consumption equipment needs to be modified by the energy consumption user to adapt to the change of the energy supply mode, such as replacement of a resident cooker, modification or replacement of a heating appliance and the like. Both the amount of modification and the cost of modification affect the willingness of the user to use the biomass energy. Therefore, the convenience of energy utilization needs to be measured by 3 indexes of biomass energy supply proportion, user equipment modification amount and user equipment modification cost.
The biomass energy supply accounts for the proportion occupied by the energy supply of the biomass energy source in the local energy demand of the representation, and the calculation formula of the energy supply of the biomass energy source accounts for the proportion as follows:
user equipment transformation volume symbolizes when adopting the energy supply of biomass energy, the number of users who need carry out terminal with energy equipment replacement or reform transform account for total user number proportion, user equipment transformation volume's formula of calculating is as follows:
the user equipment modification amount characterizes the total cost of terminal energy utilization equipment replacement or modification when locally adopting biomass energy for energy supply, and the calculation formula of the user equipment modification cost is as follows:
in the above formula, Q bio Annual total biomass resource availability, Q, for conversion to standard coal pl 、Q an 、Q kw 、Q cw Respectively the annual total yield, eta, of the crop straw/firewood, the biological excrement, the kitchen waste and the combustible waste which are converted into 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 For converting the unit of calculation into kWh, the daily energy production of biomass processing plants of the i th type, Q i,day Is the daily average yield, eta, of the ith biomass material 3 For biomass energy conversion efficiency, Q j,out Electric/thermal/cold energy output quantity, Q, of jth energy conversion apparatus for converting 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 eΣ 、Q hΣ 、Q lΣ 、Q gΣ The annual demand, eta, of electricity, heat, cold and gas in the planning area 5 Amount of user equipment improvement, M bio The number of users needing to replace or modify the energy-consuming 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.
In one embodiment, the invention quantifies the value of each biomass resource utilization scheme in terms of economy, environmental friendliness, and efficiency using a near Ideal Solution ordering method (TOPSIS). And further combining to obtain the comprehensive value of the biomass resource utilization scheme for comprehensive evaluation. Therefore, the 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 includes:
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.
In one embodiment, the regional biomass resource utilization scheme is calculated by the following formula of the evaluation value of each primary index in the pre-constructed regional biomass resource utilization scheme evaluation index system:
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,
evaluation index body for regional biomass resource utilization scheme i in pre-constructed regional biomass resource utilization schemeThe Euclidean distance between the index value of the p-th primary index and the worst value of the p-th primary index,
and (3) 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 pre-constructed regional biomass resource utilization scheme evaluation index system for the regional biomass resource utilization scheme i.
In one embodiment, the calculation formula of the comprehensive evaluation value of the regional biomass resource utilization scheme is 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.
In a preferred embodiment, the TOPSIS method is used for value quantification as follows:
step 1: all index values of biomass resource utilization schemes of each region form a matrix K, and a row vector K of the matrix K i An index value and a column vector K for representing the resource utilization scheme i under different evaluation attributes p Representing index values of different resource utilization schemes under the attribute p;
step 2: and performing homotrending processing on the K to ensure that the change directions of the advantages and the disadvantages of all indexes are consistent. The method comprises the steps of converting all benefit indexes into cost indexes to obtain a data matrix K', wherein absolute numbers are converted by adopting a reciprocal method, and relative numbers are converted by adopting a difference method;
and step 3: and carrying out standardization processing on the K 'to obtain a standardization matrix K', and eliminating the influence on the result due to the dimension and magnitude difference of each index value, wherein the concrete processing method comprises the following steps:
in the formula: e j The average value of each data under the index j for each resource utilization scheme; d j The variance under index j for various biomass resource utilization schemes.
And 4, step 4: obtaining the optimal value and the worst value of the resource utilization scheme i in each index under each attribute according to the K', and respectively combining to obtain the optimal scheme K + And the worst case K - ；
And 5: the index weight of each layer is obtained by the method, and the Euclidean distance between the index value of the ith resource utilization scheme and the optimal scheme and the worst scheme is calculated
And
and 6: and calculating the relative closeness of each resource utilization scheme and the optimal scheme as the value of the optimal scheme corresponding to economy, environmental protection and high efficiency. For example, the value of the ith resource utilization scheme in the high efficiency is as follows:
and 7: a TOPSIS method is utilized to carry out unified value quantification treatment on 23 index values of all biomass resource utilization schemes under 3 attributes of economy, environmental protection and high efficiency, a biomass resource utilization scheme comprehensive value matrix V can be obtained through calculation, a row vector of the biomass resource utilization scheme I represents the value of a resource utilization scheme i under different evaluation attributes, and a column vector of the biomass resource utilization scheme I represents the value of different resource utilization schemes under the attributes.
In the formula: line vector
The value vector of the resource utilization scheme i under the conditions of economy, environmental protection and high efficiency; column vector [ v ] 1p ,v 2p ,v 3p ,…,v mp ] T The value under the p-th attribute for different resource utilization schemes.
And 8: the importance weights of the biomass resource utilization schemes in economy, environmental protection and high efficiency are obtained by the method, and the comprehensive value V of each resource utilization scheme is obtained through weighted combination ci Comprises the following steps:
in the formula: omega p For the importance of various resource utilization schemes in economy, environmental protection and high efficiency, p =1,2,3, and
therefore, value evaluation vectors Vs of the biomass resource utilization methods/schemes of the energy systems, which integrate economic, environmental protection and high efficiency equivalent value attributes, are obtained, and value sequences of different resource utilization schemes are obtained according to the evaluation values.
The comprehensive value of the biomass resource utilization scheme obtained according to the TOPSIS method can be obtained, and the comprehensive sequence of the biomass resource utilization scheme can be obtained according to the value. Screening a plurality of biomass utilization schemes as feasible preset schemes according to the sequence; the preset scheme set is incorporated into the optimization planning model, and an important basis can be provided for energy supply system planning.
In a preferred embodiment, in S104, performing energy internet planning on the region by using the optimal regional biomass resource utilization scheme may be implemented as follows:
1. energy internet planning strategy
The energy Internet and the multi-energy supply system planning should comprehensively consider relevant factors such as economy, environmental protection, high efficiency and the like of a biomass resource utilization scheme aiming at various factors such as biomass resource endowment, basic energy utilization characteristics of production and life, local social and economic development level, climate and environment conditions and the like of typical energy utilization scenes such as an agricultural park, establish a multi-objective and multi-constraint optimization planning model, and obtain a reasonable and feasible optimization planning scheme through solving the model. However, the optimization of the biomass energy utilization scheme and the optimization of the related equipment are directly incorporated into the planning model, so that influence factors and related variables are increased rapidly, and the solution is difficult, so that the optimization planning model is only suitable for theoretical research and is difficult to apply to the planning and construction of the energy internet and the multi-energy supply system.
By adopting the comprehensive evaluation index system and the comprehensive evaluation method for the biomass resource utilization scheme provided by the patent, the multi-attribute optimization of the biomass resource utilization scheme can be realized, a plurality of biomass utilization schemes screened according to the comprehensive sequencing are taken as candidate solution sets, and the candidate solution sets and important parameters of the biomass resource utilization schemes such as energy resource production energy, energy resource utilization cost and the like which can be obtained when index values are calculated are brought into an optimization planning model together to form a three-layer energy Internet planning model.
2. Energy internet three-layer planning model modeling method
According to the comprehensive value index of the biomass resource utilization scheme, factors such as renewable energy consumption, low carbon emission reduction and economy of the multi-energy system are comprehensively considered, and an energy internet three-layer planning model is established. The upper layer aims at minimizing the total planning cost of the energy Internet, and the final optimization of the biomass resource utilization scheme is realized; the middle layer takes the minimum carbon emission of the system, the maximum consumption of renewable energy sources and the minimum annual planning cost of the system as optimization targets to obtain other energy source equipment of the energy source internet and a capacity configuration scheme thereof; and the lower layer takes the minimum operation cost as a target to obtain an energy Internet optimization scheduling scheme and operation cost under a set planning scheme. The target constraint and optimization variables of each layer of model and the solving method are shown in table 1.
TABLE 1
3. Energy Internet planning implementation process based on biomass resource utilization scheme optimization
Aiming at typical energy utilization scenes such as agricultural parks and the like, elements such as natural resources endowment, basic energy utilization requirements of production and life, capital investment capacity, environmental cleanliness requirements and the like are analyzed, firstly, a biomass resource utilization method is preliminarily designed to obtain a plurality of schemes, then, a small number of feasible schemes are preferably screened out by utilizing multiple attributes of the biomass resource utilization scheme provided by the patent, then, the feasible schemes are collected into a planning model, and an energy internet planning scheme is obtained by solving the planning model. The implementation process can be divided into the following steps:
1) Aiming at the production type and the yield of the biomass resources of a typical energy utilization scene, a preliminary biomass resource utilization scheme group is established based on the existing biomass resource energy supply technology;
2) Calculating economic, environmental and high-efficiency indexes of each candidate scheme according to the established comprehensive evaluation index calculation method of the biomass resource utilization scheme;
3) Scoring various indexes in each scheme by using an expert scoring method, and respectively solving the weight of each evaluation index of each biomass resource utilization scheme criterion layer and each evaluation index of each element layer by using an subjective and objective combination method;
4) Comprehensive sequencing of different biomass resource utilization schemes is realized by adopting a near ideal solution sequencing method (TOPSIS method), and a scheme set is obtained by preliminary screening;
5) According to the comprehensive value index of the biomass resource utilization scheme, factors such as renewable energy consumption, low carbon emission reduction and economy of the multi-energy system are comprehensively considered, and an energy internet three-layer planning model is established;
6) And (4) bringing the biomass resource utilization scheme solution set and the related parameters into a planning model, and obtaining an energy Internet planning scheme by solving the planning model.
Example 2
Based on the same inventive concept, the present invention further provides a regional energy internet planning apparatus, as shown in fig. 2, the regional energy internet planning apparatus includes:
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 acquiring 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.
Preferably, the pre-established regional biomass resource utilization scheme evaluation index system is a secondary state evaluation system, and the primary index in the pre-established regional biomass resource utilization scheme evaluation index system comprises at least one of the following: 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, financing rate, subsidy rate, investment/GDP ratio, investment/per-capita income ratio, energy-saving income, energy selling income and byproduct selling income;
the final level 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.
Further, the calculation formula of the emission amount of carbon dioxide is 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 amount of 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 during 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, the total emission of nitrogen oxides NO Annual nitrogen oxide emissions, EB, during processing of biomass feedstock NO For the generation of lifeAnnual nitrogen oxide emissions, E, from the combustion of energy of matter 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.
Further, the calculation formula of the resource deposit amount is 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:
the output rate of the biomass processing equipment is calculated according to the following formula:
the calculation formula of the biomass energy conversion efficiency is as follows:
the calculation formula of the energy supply ratio of the biomass energy sources is as follows:
the calculation formula of the user equipment modification amount is as follows:
the calculation formula of the user equipment reconstruction cost is as follows:
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 Respectively the annual total yield, eta, of the crop straw/firewood, the biological excrement, the kitchen waste and the combustible waste which are converted into 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 yield, eta, of the ith biomass material 2 For biomass processing plant output rate, W i,bio For converting the unit of calculation into kWh, the daily energy production of biomass processing plants of the i th type, Q i,day Is the daily average production of the ith biomass feedstock, eta 3 For biomass energy conversion efficiency, Q j,out Electric/thermal/cold energy output quantity, Q, of jth energy conversion apparatus for converting 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 eΣ 、Q hΣ 、Q lΣ 、Q gΣ The annual demand, eta, of electricity, heat, cold and gas in the planning area 5 Amount of user equipment improvement, 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.
Further, the calculation formula of the weight coefficient of each final evaluation index is 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.
Further, the 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 includes:
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.
Further, the calculation formula of 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 as follows:
in the above formula, v ip An evaluation value of the p-th primary index in a pre-constructed regional biomass resource utilization scheme evaluation index system for the regional biomass resource utilization scheme i,
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,
and (4) carrying out Euclidean distance between the index value of the p-th primary index and the optimal value of the p-th primary index in a pre-constructed regional biomass resource utilization scheme evaluation index system for the regional biomass resource utilization scheme i.
Further, the calculation formula of the comprehensive evaluation value of the regional biomass resource utilization scheme is 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.
Example 3
Based on the same inventive concept, the present invention also provides a computer apparatus comprising a processor and a memory, the memory being configured to store a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is specifically adapted to implement one or more instructions, and to load and execute one or more instructions in a computer storage medium to implement a corresponding method flow or a corresponding function, so as to implement the steps of the regional energy internet planning method in the above embodiments.
Example 4
Based on the same inventive concept, the present invention further provides a storage medium, in particular, a computer-readable storage medium (Memory), which is a Memory device in a computer device and is used for storing programs and data. It is understood that the computer readable storage medium herein can include both built-in storage medium in the computer device and, of course, extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory. One or more instructions stored in the computer-readable storage medium may be loaded and executed by a processor to implement the steps of a regional energy internet planning method in the above embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may 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, and the like) having computer-usable program code embodied therein.
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 will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
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:
the output rate of the biomass processing equipment is calculated according to the following formula:
the calculation formula of the biomass energy conversion efficiency is as follows:
the calculation formula of the energy supply ratio of the biomass energy sources is as follows:
the calculation formula of the user equipment modification amount is as follows:
the calculation formula of the user equipment reconstruction cost is as follows:
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 eΣ 、Q hΣ 、Q lΣ 、Q gΣ 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:
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,
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,
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210850889.7A CN115660303A (en) | 2022-07-19 | 2022-07-19 | Regional energy Internet planning method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210850889.7A CN115660303A (en) | 2022-07-19 | 2022-07-19 | Regional energy Internet planning method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115660303A true CN115660303A (en) | 2023-01-31 |
Family
ID=85024331
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210850889.7A Pending CN115660303A (en) | 2022-07-19 | 2022-07-19 | Regional energy Internet planning method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115660303A (en) |
Cited By (1)
| 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 |
-
2022
- 2022-07-19 CN CN202210850889.7A patent/CN115660303A/en active Pending
Cited By (1)
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jia et al. | Rethinking the choice of carbon tax and carbon trading in China | |
| Rogers et al. | An assessment of the potential products and economic and environmental impacts resulting from a billion ton bioeconomy | |
| Wei et al. | An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C 3 IAM | |
| Babazadeh | Optimal design and planning of biodiesel supply chain considering non-edible feedstock | |
| Rabbani et al. | Developing a sustainable supply chain optimization model for switchgrass-based bioenergy production: A case study | |
| Hiremath et al. | Decentralized energy planning; modeling and application—a review | |
| Van Dael et al. | A techno-economic evaluation of a biomass energy conversion park | |
| Perez-Verdin et al. | Woody biomass availability for bioethanol conversion in Mississippi | |
| Gronowska et al. | A review of US and Canadian biomass supply studies. | |
| Lin et al. | Forest biomass-to-biofuel factory location problem with multiple objectives considering environmental uncertainties and social enterprises | |
| Zahraee et al. | Water-energy nexus and greenhouse gas–sulfur oxides embodied emissions of biomass supply and production system: A large scale analysis using combined life cycle and dynamic simulation approach | |
| Safarian et al. | Prioritization of bioethanol production systems from agricultural and waste agricultural biomass using multi-criteria decision making | |
| Liu et al. | Supply chain optimization of forest biomass electricity and bioethanol coproduction | |
| Jayarathna et al. | Spatial optimization of multiple biomass utilization for large-scale bioelectricity generation | |
| Venus et al. | Understanding stakeholder preferences for future biogas development in Germany | |
| Mohamed Abdul Ghani et al. | Plant capacity level and location as a mechanism for sustainability in biomass supply chain | |
| Wang et al. | How government policies promote bioenergy’s permeability in national-level energy supply chain: a case of China | |
| Wang et al. | Sustainability of agricultural waste power generation industry in China: criteria relationship identification and policy design mechanism | |
| Yıldız et al. | Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model | |
| Okkonen et al. | Local, regional and national level of the socioeconomic impacts of a bio-oil production system–A case in Lieksa, Finland | |
| CN115660303A (en) | Regional energy Internet planning method and device | |
| CN118096214A (en) | Multi-park intelligent operation and maintenance method for agriculture and animal husbandry industry parks | |
| Zhang et al. | Regional suitability analysis of the rural biogas power generation industry: A case of China | |
| Seabra Junior et al. | Biomass selection method to produce biogas with a multicriteria approach | |
| Shukery et al. | Superstructure-based synthesis and optimisation of an oil palm eco-industrial town: a case study in Iskandar Malaysia |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |