CN104166799A - Calculating method for design load of a natural gas distributed energy resource - Google Patents
Calculating method for design load of a natural gas distributed energy resource Download PDFInfo
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Abstract
The invention relates to a calculating method for design load of a natural gas distributed energy resource. The calculating method is characterized by comprising the following steps: obtaining energy consumption unit properties of different types of buildings and enterprises and users with different functions in an area, building or industrial park; calculating yearly energy loss curves of different energy consumption units; calculating user load delay curves by means of the demand side response principle with the combination of user requirements; adding the user load delay curves and the yearly energy loss curves together to obtain the yearly load distribution situations of the users, and making peak load serve as the design load of installation of a distributed energy resource station. By means of the calculating method for design load of the natural gas distributed energy resource, the conflict between energy supply and energy consumption and the conflict between energy supplying and energy saving can be effectively settled, and the problem that an installation scheme is not matched with the load due to large load is solved. By means of a distributed energy supplying system designed through the method, the optimal economical efficiency can be achieved whether from the view point of energy supply or from the view point of energy consumption.
Description
Technical field
The present invention relates to a kind of Distribution of Natural formula energy supplying system method for designing, especially relate to a kind of Distribution of Natural formula energy Design cooling load computing method, belong to Distribution of Natural formula energy utilization technology field.
Background technology
The Distribution of Natural formula energy, taking rock gas as fuel, is realized energy cascade utilization by modes such as hot and cold, electric three alliances, and is realized the Modern New energy supply mode of energy supply at load center nearby.Can be divided into domain type distributed energy, building type distributed energy and Industrial-Type distributed energy according to system scale.
The floor area of building such as domain type distributed energy is generally built in Xincheng District, development area, samll cities and towns, university city are compared with the region large, user type is many, workload demand is large, and machine kludge scale is relatively large.Thought of design: first utilize load software for calculation (PKPM, the achievements of a ruler etc.) to calculate the hot and cold load duration curve whole year of different buildings, again many building loads are superposeed as the annual cooling and heating load duration curve in whole region, and then preferred equipment carry out installation scheme than choosing, selecting technology economy optimal case is as whole region energy supplying system.
Building type distributed energy is generally built in the place that there is no the large-scale distributed energy of Condition Construction, can be that single building, groups of building are as hospital, hotel, mall etc., be characterized in that hot and cold, electric demand is comparatively single within a period of time, working time, rule was single.Thought of design and the areal distribution formula energy are basically identical.
Industrial-Type distributed energy is generally applied in the industry Wei Zhu industrial parks such as petrochemical industry, metallurgy, food, building materials, papermaking, medicine, be characterized in electricity, heat, vapour demand percentage stable, comparatively rule and scale large.Thought of design: first investigate and examine each industrial enterprise's present situation, recent and long term planning load data, use the energy time according to each industrial enterprise again, whole energy supply region load is carried out to overlay analysis, calculate peak load, average load and minimum load; Choose different main frames according to load character and carry out scheme optimization, conventionally need to be equipped with the peak regulation equipment of certain capacity, to ensure that, under peak load, each enterprise can normally produce.
The design of traditional distributed ENERGY PLANNING is all the conceptual designs of meeting consumers' demand and carrying out for prerequisite, can meet user under all peak loads uses normally, although there is energy supply guarantee comparatively reliably for user, but but there is larger problem for the investor, mainly comprise: 1. from microeconomics angle analysis, supply and demand can free transaction in market, when price is determined jointly by supply and demand both sides, total revenue in marketing is only maximum, if can not be by supply and demand side's fair play, can not build the market of optimum operation.At present planning and design be only energy supply side infinitely meet user without planning demand, will cause that installation scale is bigger than normal, fallback and user is uncontrolled causes the wasting of resources with energy.2. energy supply design and user's architectural design are Liang Ge unit, cannot realize energy supply resource and energy saving resources optimum combination, more difficultly reach the configuration of hot and cold, electric total optimization.3. taking gas turbine or internal combustion engine when power unit cannot meet maximum cold, thermal load, be conventionally equipped with peak regulation boiler and satisfy the demands, cause energy dissipation.
Summary of the invention
The object of the invention is to overcome above shortcomings in prior art, and a kind of Distribution of Natural formula energy Design cooling load computing method are provided.The method can effectively solve energy supply and use energy contradiction, energy supply and energy-conservation contradiction, and the installation scheme that causes more greatly of Design cooling load and the problem such as load does not mate, no matter the distributing-supplying-energy system of designing according to this method is from energy supply or from all reaching economy optimum by energy angle.
The present invention addresses the above problem adopted technical scheme: the feature of these Distribution of Natural formula energy Design cooling load computing method is: step is as follows: the use energy cell attribute that obtains different kinds of building in region, building or industrial park, difference in functionality user and dissimilar enterprise; Calculate the different annual energy loss curves with energy unit; According to different user types and annual energy loss curve, in conjunction with user's requirement, utilize Demand Side Response theory to calculate customer charge duration curve; Customer charge duration curve and annual energy loss curve are added, obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
As preferably, method of the present invention comprises the steps:
(1) collect the relevant drawing of all buildings in region or enterprise by time with loading, each energy for building user is classified, build according to difference, its frequency of utilization and service time are divided, and enterprise customer's the production period are classified;
(2) for building load, calculate different user energy loss curve, according to the interior space capacity parameter of the difference in functionality architectural exterior-protecting construction of input, indoor/outdoor temperature-difference, difference in functionality building, and in step (1), the frequency of utilization of building and division service time are calculated to annual energy loss curve;
(3) calculate the customer charge duration curve based on Demand Side Response, according to the function user of different building types and enterprise customer, consider, after active peak regulation and peak load shifting Demand Side Response, to calculate the duration curve meeting under customer charge conditions of demand;
(4) will consider that customer charge duration curve and annual energy loss curve after Demand Side Response are added, and obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
As preferably, in step of the present invention (1), each energy for building user's classification comprises office, rest room, anteroom, meeting room, gymnasium, retail shop, lavatory and corridor.
As preferably, in step of the present invention (1), the classification of enterprise customer's production period comprises that daily production period, busy are produced the period and idle is produced the period.
As preferably, in step of the present invention (2), the formula that calculates annual energy loss curve is as follows:
EL
t＝EL
1t+EL
2t-Q
i
In formula, EL
tbe t moment amount of power loss, unit is W/m
2;
EL
1tbe the energy that t moment unit floor area of building loses by building enclosure, unit is W/m
2;
EL
2tbe the energy of the air penetration loss of t moment unit floor area of building, unit is W/m
2;
Q
ifor the interior of building of unit floor area of building comprises cooking, illumination, household electrical appliances and heat gain from occupant, unit is W/m
2.
As preferably, EL of the present invention
1tcomputing formula as follows:
In formula, T
cit is c moment indoor and outdoor mean temperature difference (MTD);
A
0for floor area of building (m
2), the summation of the area of plane surrounding by the outer envelope curve of each layer of exterior wall is calculated;
ε
ifor the correction factor of enclosure structure heat transfer coefficient, different parts to roof, exterior wall, exterior window and external door, multi-form and different azimuth are carried out value;
K
mifor the mean heat transfer coefficient of building enclosure, choose the heat transfer coefficient of different structure way according to drawing;
F
ifor the area (m of building enclosure
2).
As preferably, EL of the present invention
2tcomputing formula as follows:
In formula, C
ρfor air ratio thermal capacitance, unit is W.h/ (kg.k);
ρ is atmospheric density, the value while getting outdoor temperature;
N is rate of ventilation;
V is ventilation volume.
The present invention compared with prior art, has the following advantages and effect: the Demand Side Response Load Analytic Method based on user's active adjustment, has vital role and meaning for reducing construction costs, raising operational efficiency and saving energy and reduce the cost.
(1) the present invention can effectively and more accurately calculate customer charge, owing to introducing Demand Side Response theory, can have largely and reduce compared with the Design cooling load of commonsense method, therefore, the installation scheme design investment of carrying out according to this load is lower, is conducive to improve on-road efficiency.
(2) owing to introducing user's request side response theory, to customer charge demand carried out peak load shifting, uses of avoiding the peak hour, load fluctuation diminishes, and is conducive to the high-level efficiency running of equipment, raising on-road efficiency.
(3) peak load shifting to customer charge demand, the use of avoiding the peak hour, be conducive to reduce user's energy cost of use and use amount, simultaneously owing to improving operational efficiency, for energy-saving and cost-reducing significant.
(4) effectively solve energy supply with can contradiction, energy supply and energy-conservation contradiction, and the installation scheme that causes more greatly of Design cooling load and the problem such as load does not mate, no matter from energy supply still from all reaching economy optimum by energy angle.
Brief description of the drawings
Fig. 1 is domain type and building type distributed energy station Design cooling load calculation process schematic diagram in the embodiment of the present invention 1.
Fig. 2 is Industrial-Type distributed energy station Design cooling load calculation process schematic diagram in the embodiment of the present invention 2.
Fig. 3 is beer enterprise busy and pharmacy corporation idle (6～October) enterprise production load schematic diagram in the embodiment of the present invention 2.
Fig. 4 be in the embodiment of the present invention 2 beer enterprise idle and pharmacy corporation when daily (February 11～next year) enterprise produce load schematic diagram.
Fig. 5 is that in the embodiment of the present invention 2, normal and pharmacy corporation busy (3～May) enterprise of beer enterprise produces the schematic diagram of loading.
Fig. 6 is beer enterprise busy and pharmacy corporation idle (6～October) enterprise production load schematic diagram in the embodiment of the present invention 2.
Fig. 7 be in the embodiment of the present invention 2 beer enterprise idle and pharmacy corporation when daily (February 11～next year) enterprise produce load schematic diagram.
Fig. 8 is that in the embodiment of the present invention 2, normal and pharmacy corporation busy (3～May) enterprise of beer enterprise produces the schematic diagram of loading.
Embodiment
Below in conjunction with accompanying drawing and by embodiment, the present invention is described in further detail, and following examples are explanation of the invention and the present invention is not limited to following examples.
Embodiment 1.
Referring to Fig. 1, the present embodiment is that concrete steps are as follows for the Distribution of Natural formula energy Design cooling load computing method in region and building type distributed energy station:
(1) user is carried out to taxonomic revision, as follows:
| Title | There is people/whether participate in peak regulation always | Part has people/whether participate in peak regulation | Unmanned/whether to participate in peak regulation |
| Hotel room | 18:00～next day, 8:00/ participated in | 8:00～18:00/ participates in | Nothing |
| Corridor, hotel | 8:00～20:00/ participates in | 20:00～24:00/ participates in | 00:00～8:00/ participates in |
| Toilet, hotel | —— | 8:00～24:00/ participates in | 00:00～8:00/ participates in |
| Office | 8:00～20:00/ participates in | 20:00～24:00/ participates in | 00:00～8:00/ participates in |
| Toilet, Office Area | —— | 8:00～24:00/ participates in | 00:00～8:00/ participates in |
(2) collect materials, calculate annual energy loss duration curve.
Computing method are as follows:
EL
t＝EL
1t+EL
2t-Q
i
In formula, EL
tbe t moment amount of power loss, unit is W/m
2;
EL
1tbe the energy that t moment unit floor area of building loses by building enclosure, unit is W/m
2;
EL
2tbe the energy of the air penetration loss of t moment unit floor area of building, unit is W/m
2;
Q
ifor the interior of building of unit floor area of building comprises cooking, illumination, household electrical appliances and heat gain from occupant.
In formula, T
cit is c moment indoor and outdoor mean temperature difference (MTD);
A
0for floor area of building (m
2), the summation of the area of plane that should surround by the outer envelope curve of each layer of exterior wall is calculated;
ε
ifor the correction factor of enclosure structure heat transfer coefficient, the different parts such as roof, exterior wall, exterior window, external door, multi-form and different azimuth are carried out value, can be with reference to various places energy-saving design standard.
K
mifor the mean heat transfer coefficient of enclosed structure, choose the heat transfer coefficient of different structure way according to drawing;
F
ifor the area (m of building enclosure
2).
In formula, C
ρfor air ratio thermal capacitance, unit is W.h/ (kg.k);
ρ is atmospheric density, the value while getting outdoor temperature;
N is rate of ventilation;
V is ventilation volume.
(3) customer charge demand duration curve after calculating consideration Demand Side Response
According to national standard " heating and ventilation and In Air Conditioning Design specification ", the indoor standard of comfortableness is:
| ? | Temperature | Relative humidity | Wind speed |
| Summer | 24-28℃ | 40～65％ | 0.3m/s |
| Winter | 18～22℃ | 40-60％ | 0.2m/s |
Customer charge demand duration curve mainly calculates according to the energy supply strategy of inner temperature of room comfortableness: according to the energy loss curve in (2), summer inner temperature of room after reaching comfortableness lowest temperature, stop energy supply, reach the upper limit or be about to reach after the upper limit, starting energy supply; Inner temperature of room comfortableness starts energy supply after reaching lower limit or approaching lower limit in the winter time, stops energy supply reaching after the upper limit.
Therefore for dissimilar functional architecture, can, to its control of avoiding the peak hour, reach the peak load demand of stabilizing.
To consider that customer charge duration curve and annual energy loss curve after Demand Side Response are added, obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
Embodiment 2.
Referring to Fig. 2 to Fig. 8, the present embodiment is that concrete steps are as follows for the Distribution of Natural formula energy Design cooling load computing method in Industrial-Type distributed energy station:
(1) load Analysis and investigation
| Title | Daily | Busy | Idle |
| Factory 1 | The thermal load (3～May) of each hour | The thermal load (6～Dec) of each hour | The thermal load (1～February) of each hour |
| Factory 2 | The thermal load (6～Dec) of each hour | 3～the May of thermal load of each hour) | The thermal load (1～February) of each hour |
(2) analyze production technology and production feature, whether enterprise's load can be adjusted.
(3) each enterprise load is superposeed, can obtain the duration curve of loading.
(4) case analysis
Certain distributed energy project, gives the energy supply of Liang Jia enterprise, and one is that beer enterprise, one are pharmacy corporations.As shown in Figures 3 to 8, in Fig. 3 to Fig. 8, the bottom of histogram is beer enterprise load to the production thermal load of Liang Jia enterprise, and the top of histogram is pharmacy corporation load.
Beer enterprise busy and pharmacy corporation idle (6～October) enterprise produce load and see Fig. 3, when beer enterprise idle and pharmacy corporation are daily, (February 11～next year) enterprise produces load and sees Fig. 4, and normal and pharmacy corporation busy (3～May) enterprise of beer enterprise produces to load sees Fig. 5.
By analyze, the production peak load of Liang Jia enterprise occurs in for 3～May, is about 220MW, 6～10 maximum monthly loads are about 160MW, 11～next years 2 maximum monthly load be about 140MW.
If will carry out accordingly installation scheme design, its installation should meet the workload demand of peak load 220MW, invests larger.
By linking up with enterprise, give economic incentives, night with can be preferential and other policies after, enterprise's load variations is as follows:
Beer enterprise busy and pharmacy corporation idle (6～October) enterprise produce load and see Fig. 6, when beer enterprise idle and pharmacy corporation are daily, (February 11～next year) enterprise produces load and sees Fig. 7, and normal and pharmacy corporation busy (3～May) enterprise of beer enterprise produces to load sees Fig. 8.
By adjust after, the production peak load of Liang Jia enterprise occurs in for 3～May, is about 160MW, 6～10 maximum monthly loads are about 120MW, 11～next years 2 maximum monthly load be about 120MW.
The design of carrying out accordingly, will effectively reduce construction investment, and be conducive to configure peak regulation equipment, improve operational efficiency, be conducive to increase investment returns, and can improve beer and pharmacy corporation economic benefit, improve product competitiveness.
Embodiment 3.
Distribution of Natural formula energy Design cooling load computing method in the present embodiment comprise the steps:
(1) collect in region the relevant drawing of all buildings or enterprise by time with loading, each energy for building user is classified, build according to difference, its frequency of utilization and service time are divided, and enterprise customer's the production period are classified.
(2) for building load, calculate different user energy loss curve, according to the interior space capacity parameter of the difference in functionality architectural exterior-protecting construction of input, indoor/outdoor temperature-difference, difference in functionality building, and in step (1), the frequency of utilization of building and division service time are calculated to annual energy loss curve.
(3) calculate the customer charge duration curve based on Demand Side Response, according to the function user of different building types and enterprise customer, consider, after active peak regulation and peak load shifting Demand Side Response, to calculate the duration curve meeting under customer charge conditions of demand.
(4) will consider that customer charge duration curve and annual energy loss curve after Demand Side Response are added, obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
Wherein, in step (1), each energy for building user's classification can comprise office, rest room, anteroom, meeting room, gymnasium, retail shop, lavatory and corridor, and the classification of enterprise customer's production period can comprise that daily production period, busy are produced the period and idle is produced the period.
In step (2), the formula that calculates annual energy loss curve is as follows:
EL
t＝EL
1t+EL
2t-Q
i
In formula, EL
tbe t moment amount of power loss, unit is W/m
2;
EL
1tbe the energy that t moment unit floor area of building loses by building enclosure, unit is W/m
2;
EL
2tbe the energy of the air penetration loss of t moment unit floor area of building, unit is W/m
2;
Q
ifor the interior of building of unit floor area of building comprises cooking, illumination, household electrical appliances and heat gain from occupant, unit is W/m
2.
EL
1tcomputing formula as follows:
In formula, T
cit is c moment indoor and outdoor mean temperature difference (MTD);
A
0for floor area of building (m
2), the summation of the area of plane surrounding by the outer envelope curve of each layer of exterior wall is calculated;
ε
ifor the correction factor of enclosure structure heat transfer coefficient, different parts to roof, exterior wall, exterior window and external door, multi-form and different azimuth are carried out value;
K
mifor the mean heat transfer coefficient of building enclosure, choose the heat transfer coefficient of different structure way according to drawing;
F
ifor the area (m of building enclosure
2).
EL
2tcomputing formula as follows:
In formula, C
ρfor air ratio thermal capacitance, unit is W.h/ (kg.k);
ρ is atmospheric density, the value while getting outdoor temperature;
N is rate of ventilation;
V is ventilation volume.
In addition, it should be noted that, all equivalence variation or simple change of doing according to described structure, feature and the principle of patent design of the present invention, are included in the protection domain of patent of the present invention.Those skilled in the art can make various amendments or supplement or adopt similar mode to substitute described specific embodiment; only otherwise depart from structure of the present invention or surmount this scope as defined in the claims, all should belong to protection scope of the present invention.
Claims (7)
1. a Distribution of Natural formula energy Design cooling load computing method, is characterized in that: step is as follows: the use energy cell attribute that obtains different kinds of building in region, building or industrial park, difference in functionality user and dissimilar enterprise; Calculate the different annual energy loss curves with energy unit; According to different user types and annual energy loss curve, in conjunction with user's requirement, utilize Demand Side Response theory to calculate customer charge duration curve; Customer charge duration curve and annual energy loss curve are added, obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
2. Distribution of Natural formula energy Design cooling load computing method according to claim 1, is characterized in that: the method specifically comprises the steps:
(1) collect the relevant drawing of all buildings in region or enterprise by time with loading, each energy for building user is classified, build according to difference, its frequency of utilization and service time are divided, and enterprise customer's the production period are classified;
(2) for building load, calculate different user energy loss curve, according to the interior space capacity parameter of the difference in functionality architectural exterior-protecting construction of input, indoor/outdoor temperature-difference, difference in functionality building, and in step (1), the frequency of utilization of building and division service time are calculated to annual energy loss curve;
(3) calculate the customer charge duration curve based on Demand Side Response, according to the function user of different building types and enterprise customer, consider, after active peak regulation and peak load shifting Demand Side Response, to calculate the duration curve meeting under customer charge conditions of demand;
(4) will consider that customer charge duration curve and annual energy loss curve after Demand Side Response are added, and obtain the annual load of user distribution situation, the Design cooling load by peak load as the installation of distributed energy station.
3. Distribution of Natural formula energy Design cooling load computing method according to claim 2, it is characterized in that: in described step (1), each energy for building user's classification comprises office, rest room, anteroom, meeting room, gymnasium, retail shop, lavatory and corridor.
4. Distribution of Natural formula energy Design cooling load computing method according to claim 2, is characterized in that: in described step (1), the classification of enterprise customer's production period comprises that daily production period, busy are produced the period and idle is produced the period.
5. Distribution of Natural formula energy Design cooling load computing method according to claim 2, is characterized in that: in described step (2), the formula that calculates annual energy loss curve is as follows:
EL
t＝EL
1t+EL
2t-Q
i
In formula, EL
tbe t moment amount of power loss, unit is W/m
2;
EL
1tbe the energy that t moment unit floor area of building loses by building enclosure, unit is W/m
2;
EL
2tbe the energy of the air penetration loss of t moment unit floor area of building, unit is W/m
2;
Q
ifor the interior of building of unit floor area of building comprises cooking, illumination, household electrical appliances and heat gain from occupant, unit is W/m
2.
6. Distribution of Natural formula energy Design cooling load computing method according to claim 5, is characterized in that: described EL
1tcomputing formula as follows:
In formula, T
cit is c moment indoor and outdoor mean temperature difference (MTD);
A
0for floor area of building (m
2), the summation of the area of plane surrounding by the outer envelope curve of each layer of exterior wall is calculated;
ε
ifor the correction factor of enclosure structure heat transfer coefficient, different parts to roof, exterior wall, exterior window and external door, multi-form and different azimuth are carried out value;
K
mifor the mean heat transfer coefficient of building enclosure, choose the heat transfer coefficient of different structure way according to drawing;
F
ifor the area (m of building enclosure
2).
7. Distribution of Natural formula energy Design cooling load computing method according to claim 5, is characterized in that: described EL
2tcomputing formula as follows:
In formula, C
ρfor air ratio thermal capacitance, unit is W.h/ (kg.k);
ρ is atmospheric density, the value while getting outdoor temperature;
N is rate of ventilation;
V is ventilation volume.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108334992A (en) * | 2018-02-28 | 2018-07-27 | 新奥泛能网络科技股份有限公司 | The load forecasting method and system of building |
| CN108388967A (en) * | 2018-03-14 | 2018-08-10 | 华电电力科学研究院有限公司 | A kind of distributed energy load design system and design method |
| CN109657974A (en) * | 2018-12-19 | 2019-04-19 | 上海发电设备成套设计研究院有限责任公司 | A kind of distributed energy project whole year the key technical indexes calculation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100100215A1 (en) * | 2008-10-17 | 2010-04-22 | Akahori Tomohiko | Environmental load amount calculation method, execution program therefor, and execution apparatus therefor |
| CN102420428A (en) * | 2011-12-19 | 2012-04-18 | 天津市电力公司 | Method and system for managing microgrid energy |
| CN103259335A (en) * | 2013-04-11 | 2013-08-21 | 国家电网公司 | Intelligent demand response and demand side optimizing operation system |
| CN103578044A (en) * | 2013-11-05 | 2014-02-12 | 国家电网公司 | New energy power generation grid-connection comprehensive peak regulation capacity assessment model based on demand side responses |
-
2014
- 2014-08-13 CN CN201410398287.8A patent/CN104166799B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100100215A1 (en) * | 2008-10-17 | 2010-04-22 | Akahori Tomohiko | Environmental load amount calculation method, execution program therefor, and execution apparatus therefor |
| CN102420428A (en) * | 2011-12-19 | 2012-04-18 | 天津市电力公司 | Method and system for managing microgrid energy |
| CN103259335A (en) * | 2013-04-11 | 2013-08-21 | 国家电网公司 | Intelligent demand response and demand side optimizing operation system |
| CN103578044A (en) * | 2013-11-05 | 2014-02-12 | 国家电网公司 | New energy power generation grid-connection comprehensive peak regulation capacity assessment model based on demand side responses |
Non-Patent Citations (2)
| Title |
|---|
| 刘庆超等: ""城镇化过程中天然气分布式能源发展机遇探讨"", 《发电与空调》 * |
| 王延军等: ""天然气分布式能源热力系统性能评价测试方法"", 《电力与能源》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108334992A (en) * | 2018-02-28 | 2018-07-27 | 新奥泛能网络科技股份有限公司 | The load forecasting method and system of building |
| CN108388967A (en) * | 2018-03-14 | 2018-08-10 | 华电电力科学研究院有限公司 | A kind of distributed energy load design system and design method |
| CN109657974A (en) * | 2018-12-19 | 2019-04-19 | 上海发电设备成套设计研究院有限责任公司 | A kind of distributed energy project whole year the key technical indexes calculation method |
| CN109657974B (en) * | 2018-12-19 | 2023-05-02 | 上海发电设备成套设计研究院有限责任公司 | Annual main technical index calculation method for distributed energy projects |
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| Publication number | Publication date |
|---|---|
| CN104166799B (en) | 2017-06-13 |
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