WO2013115286A1 - Dispositif de gestion de réseau régional d'alimentation en énergie thermique - Google Patents

Dispositif de gestion de réseau régional d'alimentation en énergie thermique Download PDF

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WO2013115286A1
WO2013115286A1 PCT/JP2013/052121 JP2013052121W WO2013115286A1 WO 2013115286 A1 WO2013115286 A1 WO 2013115286A1 JP 2013052121 W JP2013052121 W JP 2013052121W WO 2013115286 A1 WO2013115286 A1 WO 2013115286A1
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heat
supply network
energy supply
amount
energy
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PCT/JP2013/052121
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English (en)
Japanese (ja)
Inventor
亮介 中村
勉 河村
白石 朋史
良和 石井
和信 森田
秀世 河野
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株式会社日立製作所
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Priority to CN201380007096.8A priority Critical patent/CN104272029B/zh
Publication of WO2013115286A1 publication Critical patent/WO2013115286A1/fr

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24DDOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D10/00District heating systems
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24DDOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00Details
    • F24D19/10Arrangement or mounting of control or safety devices
    • F24D19/1006Arrangement or mounting of control or safety devices for water heating systems
    • F24D19/1009Arrangement or mounting of control or safety devices for water heating systems for central heating
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F5/00Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
    • F24F5/0003Exclusively-fluid systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/17District heating
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00Combustion technologies with mitigation potential
    • Y02E20/14Combined heat and power generation [CHP]

Definitions

  • the present invention reduces the amount of energy or CO 2 emissions consumed by the heat source equipment and transport equipment for heat supply in a heat energy supply network that supplies hot and cold heat to distributed customers from the distributed heat source facilities and exhaust heat sources.
  • the present invention relates to a control device for a district heat energy supply network.
  • Patent Document 1 describes a heat medium transport system that can be applied conveniently to a district cooling and heating system and that can be operated automatically and efficiently.
  • Patent Document 2 aims to improve the energy utilization efficiency and cost reduction of the heat source system of the central plant, and reduce the initial cost and running cost of the facility by expanding the heat transfer power of the district heat supply piping facility.
  • a new and improved district heat supply system capable of further expanding the selection range of customer-side facilities is described.
  • JP 2009-243718 A Japanese Patent Laid-Open No. 9-210413
  • Patent Document 1 describes a method of operating a heat supply plant efficiently by prefetching a predicted heat load calculated from a past heat load state and controlling a heat generation unit based on the predicted heat load. However, this method considers the case where heat generation units exist in a concentrated manner. Regarding a method of reducing the energy consumption of the entire district heat energy supply network when heat sources exist in a distributed manner, Not mentioned.
  • the return path piping is cascade-connected to the heat supply of a plurality of customer equipment groups, and the customer equipment group on the downstream side of the cascade connection is returned from the customer equipment group on the upstream side of the cascade connection.
  • a method for supplying hydrated heat source water is described. With this configuration, it is possible to improve the energy utilization efficiency of the central heat source system. However, in this case as well, this is a method for effectively using the heat when the heat source facilities are concentrated, and the heat sources exist in a distributed manner. If so, there is no mention of how to reduce the energy consumption of the entire district thermal energy supply network.
  • the objective is to provide a method for optimizing the energy consumption and reducing the energy consumption of the entire district thermal energy supply network.
  • the present application includes a plurality of means for solving the above-mentioned problems.
  • a local thermal energy supply that connects a heat source dispersed in the area and a consumer to supply hot or cold energy.
  • a control device for a district heat energy supply network that creates a plan and controls the facility based on the operation plan.
  • the heat source equipment and transport equipment connected to the local heat energy supply network are considered in consideration of heat dissipation loss and pressure loss of the heat medium. It is possible to optimize the operation and reduce the energy consumption and CO 2 emission of the entire district heat energy supply network.
  • FIG. 6 It is an example of the block diagram of the control apparatus of a district heat energy supply network. It is an example of the figure showing inflow and outflow of the heat medium in a piping contact.
  • 6 is an application example of the control apparatus 101 for the district heat energy supply network in the first embodiment. It is an example of the efficiency characteristic of heat-source apparatus A301 and heat-source apparatus B302. It is an example of a district heat energy supply network which supplies heat to a plurality of consumers from a plurality of heat source facilities. It is an example of application of the control apparatus 101 of the district heat energy supply network in Example 2.
  • FIG. It is an example of application of the control apparatus 101 of the district heat energy supply network in Example 3.
  • FIG. 1 It is an example of the figure showing the flow for calculating
  • Example 1 In this embodiment, an example of a control device for a district heat energy supply network and an application example thereof will be described.
  • FIG. 1 shows an example of a control device for a district heat energy supply network.
  • the regional heat energy supply network control device 101 includes a heat demand prediction unit 102 that predicts the heat demand of each heat consumer in the regional heat energy supply network 109, and each exhaust heat source.
  • a heat generation amount prediction unit 103 that predicts the amount of heat generated by the natural gas and a heat generation amount prediction unit 111 that uses natural energy to predict the amount of heat generation by natural energy, and further supplies local heat energy based on information input by the user 108
  • Model formula for optimal calculation of heat dissipation / pressure loss evaluation model creation unit 104 that creates a model that can evaluate heat dissipation / pressure loss of the network, and the model of the regional heat energy supply network created in the heat dissipation / pressure loss evaluation model creation unit 104
  • Model formulating unit 1 that generates formulas necessary for optimization calculation by combining the information of the heat demand forecasting unit 102, the exhaust heat quantity forecasting unit 103, and the heat generation quantity forecasting unit 111 by natural energy 10 and an optimal calculation unit that optimizes the operation plan of the heat source equipment and the heat transfer equipment that minimizes the energy consumption of the district heat energy supply network 109 based on the formula created by the model formulating unit 110 105, and a control unit 106 that transmits
  • the heat demand prediction unit 102 and the exhaust heat amount prediction unit 103 are based on past conditions and predicted values such as day of the week, weather, and temperature from the database 107, the amount of heat used by each heat consumer and the amount of exhaust heat from the facility that is the exhaust heat source. Using data and information such as the operation plan of each heat consumer and the facility that will be the exhaust heat source during the period of optimizing the operation plan of heat source equipment and transfer equipment, multiple regression, principal component analysis, memory-based reasoning, etc. Prediction is performed using the above method.
  • the heat generation amount prediction unit 111 based on natural energy obtains the heat generation amount by using the facility characteristics of the natural energy supply facility using the predicted values of weather conditions such as weather, temperature, and solar radiation. Alternatively, the amount of heat generation is predicted by using a method such as multiple regression / principal component analysis or memory-based reasoning using the predicted values and the past actual data on the weather conditions and the output under those conditions.
  • the heat dissipation / pressure loss evaluation model creation unit 104 includes information necessary for the user 108 to generate a heat dissipation / pressure loss evaluation model (for piping, the pipe diameter, heat transfer rate, pipe length, and the connection relationship between the pipes For the rated heat source supply, output temperature, characteristics of the heat source device, rated energy consumption, for consumers, the heat demand, etc., and the characteristic values and installation locations of heat exchangers and pumps, etc. It means the information to be included.)
  • a method in which a user writes down on a text basis may be used, or a method in which components such as devices are arranged and connected using a GUI and a necessary value is input may be used.
  • a constraint formula and an objective function are provided in advance so that optimization calculation can be performed only by changing parameter values.
  • Equations 1 and 2 w o is the mass flow rate of the heat medium flowing out from the contact q 204, w I is the mass flow rate of the heat medium flowing into the contact q 204, and j is the pipe 201 through which the heat medium flows out from the contact q 204.
  • the number k is the number of the pipe 202 into which the heat medium flows into the contact point q.
  • the flow direction is indicated by an arrow 203.
  • h o is an enthalpy flowing out from the contact point q204
  • h I is an enthalpy flowing into the contact point q204.
  • Equation 3 the p piping number, Q R is the heat radiation amount in the pipe, the heat transfer coefficient h is the pipe, d is the diameter of the pipe, a T O is the outlet temperature of the pipe, T I is the inlet of the pipe L represents the length of the pipe.
  • ⁇ P P is the differential pressure across the pipe
  • A is the proportionality constant
  • d is the pipe diameter
  • L is the pipe length
  • w is the mass flow rate in the pipe.
  • the power consumption of the pump is given by the following equation (5) using the pressure difference ⁇ P M between the inlet and outlet of the pump obtained using the pressure loss of Equation (4).
  • Equation 7 which is a constraint equation that gives the relationship between the demand and supply of heat quantity, is Equation 9, and is the objective function with the total equipment consumption energy to be optimized.
  • a certain number 6 is given by number 8.
  • the relationship between the demand and supply of heat quantity is in addition to the relation of the entire regional heat energy supply network shown in Equation 9, and a constraint condition that balances the heat demand and the heat quantity supplied from the piping is added to each consumer.
  • the number 6, i is the number of the heat source facilities
  • E F denotes an energy consumption of the heat source facilities i.
  • Q F indicates the amount of heat supplied to the heat source facility
  • l indicates the customer
  • Q D indicates the heat demand of the customer.
  • m represents the pump number
  • E ′ M represents the power consumption of the pump.
  • Q R represents a radiation amount in the pipe.
  • the model formulating unit 110 uses the information input by the user 108 in the heat dissipation / pressure loss evaluation model creation unit 104 to generate constraint equations and objective functions used for these calculations.
  • the constraint formulas for all the pipes are generated by having the pipe models input the pipe lengths and the like as the setting parameters.
  • Other formulas include the enthalpy definition formula, the heat exchange formula, the utility of the heat source facility, and the energy characteristic formula.
  • the values obtained by the heat demand prediction unit 102, the exhaust heat amount prediction unit 103, and the natural energy heat generation amount prediction unit 111 are input to the place where the prediction value is input as a parameter. Generate an expression to use.
  • the optimal calculation unit 105 executes the optimization calculation using the constraint equation and the objective function thus obtained by the model formulating unit 110.
  • the objective function is the energy consumption of the entire target heat supply network
  • the optimization variables are the load factor of the heat source equipment, the 0-1 variable indicating on / off, the mass flow rate of the pipe network (or the pressure at each pipe connection) is there.
  • the entire system is optimized including the heat dissipation given by Equation 3 and the energy consumption of the pump given by Equation 5, including optimization of the mass flow rate from the conventional load factor and on / off only.
  • This optimization problem is a nonlinear programming problem because Equation 3 and the following formula are nonlinear, and an analytical method may be used as a means for obtaining the solution, or a meta algorithm such as a genetic algorithm or annealing method may be used. A heuristic approach may be used. Linear programming may be used if linearization is possible.
  • FIG. 3 shows Example 1 which is an application example of the control apparatus 101 of the district heat energy supply network according to the present invention.
  • the heat source device A301 and the heat source device B302 generate hot water, and the hot water passes through the supply piping network 305 and is supplied to the consumer 303.
  • used hot water passes through the return pipe network 306 and returns to the heat source device A301 and the heat source device B302.
  • FIG. 4 shows the efficiency characteristics of the heat source device A301 and the heat source device B302, respectively.
  • the load factors x1 and x2 indicate the ratio of the thermal loads Q 1 and Q 2 applied to each device to the maximum heat load applied to each device (both are Q MAX ).
  • Q MAX the maximum heat load applied to each device
  • the heat source device A301 and the heat source device B302 have ⁇ Q minutes. Since it becomes necessary to supplement the amount of heat, the total heat demand Q net is Q + ⁇ Q. In such a case, some of the equipment that is the target of the operation plan optimization is used as an automatic load follower to compensate for the shortage.
  • the heat source device B plays the role. Then, the heat supply amount of the heat source device B302 moves from ⁇ (403) to ⁇ ′ (404). However, as can be seen from FIG.
  • the regional heat energy supply network control apparatus 101 is characterized by taking this heat dissipation into consideration.
  • Equation 9 it is possible to perform calculation by including the heat dissipation amount for the flow path and its path in the optimization calculation, so that optimization considering heat dissipation becomes possible. If the objective function is written down specifically, it becomes energy consumption in the whole system, and therefore, it becomes several ten.
  • E A is the energy consumption of the heat source equipment A
  • the E B represents the energy consumption of the heat source equipment B.
  • Equation 11 the heat demand Q net is expressed by Equation 11.
  • Q A represents the amount of heat supplied to the heat source device A
  • Q B represents the amount of heat supplied to the heat source device B
  • ⁇ Q represents the amount of heat released.
  • Optimized calculation under the above conditions enables energy-saving operation that takes heat dissipation loss of the piping network into account.
  • a combination of ⁇ ′ (402) and ⁇ (403) is selected as the operating point of the heat source device.
  • FIG. 6 shows Example 2 which is an application example of the control apparatus 101 of the district heat energy supply network according to the present invention.
  • the mass flow rate to each heat source device is determined by the pump a601 and the pump b602. Therefore, the conveyance power of the pump differs depending on the change in mass flow rate.
  • the heat generation amount of the heat source device A301 is Q A
  • the efficiency is ⁇ A
  • the use energy is E A
  • the heat generation amount of the heat source device B302 is Q B
  • the efficiency is ⁇ B
  • the use energy is E B.
  • E A and E B are expressed by the following equation (12).
  • This value is set as an objective function to be minimized, and the optimum calculation unit 105 uses the mass flow rate of each piping network, the load factor of the heat source device, and the on / off variable (0 or 1) as variables as in the first embodiment. By standing, energy saving is possible.
  • FIG. 7 shows a third embodiment which is an application example of the control apparatus 101 for the district heat energy supply network according to the present invention.
  • the heat source device A301 there is an exhaust heat source 701 that supplies heat to the piping of the local heat energy supply network through the heat exchanger 702.
  • the mass flow rate that flows into the heat exchanger 702 is determined by the pump 703, and it is used to specify which of the supply pipe network 305 and the return pipe network 306 the heat medium that receives heat supply by exhaust heat is sent to.
  • a valve 704 and a valve 705 are provided.
  • the controller 101 of the district heat energy supply network predicts the exhaust heat temperature of the exhaust heat source 701 by the exhaust heat amount prediction unit 103. If the temperature is higher than the hot water temperature output from the heat source device A301, the valve 704 is opened and the valve 705 is closed to supply heat to the supply piping network 305. When the temperature at the outlet of the heat exchanger 702 is low and cannot be higher than the temperature of the hot water output from the heat source device A301, but when the temperature can be higher than the temperature of the hot water in the return pipe network 306, the valve 704 is closed, Supply heat by opening 705.
  • the mass flow rate of the pump 703 is set to 0 and both the valve 704 and the valve 705 are closed.
  • FIG. 9 shows a fourth embodiment which is an application example of the control apparatus 101 for the district heat energy supply network according to the present invention.
  • a natural energy utilization heat source 901 for heat is supplied to the piping of the local heat energy supply network through the heat exchanger 702. If it is determined by the pump 703, a valve 704 and a valve 705 are provided for designating which of the supply pipe network 305 and the return pipe network 306 the heat medium that receives heat supply from natural energy is sent to.
  • the control apparatus 101 of the regional heat energy supply network reads the weather forecast and past performance data from the database 107, and predicts the hot water temperature to be generated based on it. If the temperature is higher than the hot water temperature output from the heat source device A301, the valve 704 is opened and the valve 705 is closed to supply heat to the supply piping network 305. If the temperature of the heating medium heated by natural energy is low or cannot be higher than the temperature of the hot water output from the heat source device A301, but if it can be higher than the temperature of the hot water in the return pipe network 306, the valve 704 is turned on. Heat is supplied by closing and opening valve 705.
  • the mass flow rate of the pump 703 is set to 0 and both the valve 704 and the valve 705 are closed. Thereby, when the natural energy utilization heat source 901 exists, energy can be saved by effectively using the exhaust heat.
  • FIG. 10 shows a fifth embodiment which is an application example of the control apparatus 101 for the district heat energy supply network according to the present invention.
  • a piping network 1024 for supplying hot or cold heat
  • a piping network 1025 for returning a heat medium after use by a customer.
  • heat supply equipment 1001 and 1004 exhaust heat supply source 1005, natural energy heat supply equipment 1002 1006 and heat customers 1003 and 1007, and the supply of the heat medium to each facility is performed by the transfer facilities 1017 to 1023.
  • Heat supply by exhaust heat or natural energy is supplied to the supply piping network 1024 or the return piping network 1025 by the heat exchangers 1014 to 1016, and switching between them is performed by the valves 1008 to 1013.
  • a model of this heat supply system is created by the heat radiation / pressure loss evaluation model creation unit 104, and the heat demand prediction unit 102 Predicts the heat demand of the heat consumers 1003 and 1007, predicts the amount of exhaust heat from the exhaust heat supply source 1005 by the exhaust heat amount prediction unit 103, and formulates the model in the model formulater 110 based on such information
  • the mass flow rate of the transfer facilities 1017 to 1023, and the mass flow rate of the heat medium using the valves 1008 to 1013 by the optimum calculation unit 105 the mass flow rate and the temperature of the heat medium in each of the supply piping network 1024 and the return piping network 1025 can be specified, and the total energy consumption of the regional heat energy supply network can be minimized.

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Abstract

L'invention concerne un dispositif de gestion d'un réseau régional d'alimentation en énergie thermique permettant de raccorder des sources de chaleur et des clients dispersés dans une région et fournir de l'énergie thermique chaude ou froide, le dispositif comprenant : un moyen de prévoir la quantité de chaleur produite par les sources de chaleur et la demande en chaleur des clients ; et un moyen d'évaluer la quantité d'énergie perdue par la substance caloporteuse dans le réseau régional d'alimentation en énergie thermique. Le dispositif de gestion d'un réseau régional d'alimentation en énergie thermique utilise des informations représentant la quantité de chaleur produite, la demande en chaleur, et la quantité d'énergie perdue par la substance caloporteuse pour créer un plan d'exploitation des installations raccordées au réseau régional d'alimentation en énergie thermique afin de minimiser la quantité d'énergie consommée dans le réseau régional d'alimentation en énergie, et gère les installations en fonction du plan d'exploitation, l'exploitation des installations source de chaleur et des installations de transport étant optimisée de façon à prendre en compte les pertes de charge et les pertes par rayonnement thermique de la substance caloporteuse dans le cas où les sources de chaleur et les sources de rejet de chaleur sont dispersées dans tout le réseau d'alimentation en énergie thermique, et cela permet de réduire la quantité d'énergie consommée dans tout le réseau régional d'alimentation en énergie thermique.
PCT/JP2013/052121 2012-01-31 2013-01-31 Dispositif de gestion de réseau régional d'alimentation en énergie thermique WO2013115286A1 (fr)

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JP5842184B1 (ja) * 2015-01-19 2016-01-13 株式会社アグリクラスター 地中熱の地域面的活用システム
KR101844731B1 (ko) 2013-09-25 2018-04-02 미쯔비시 케미컬 주식회사 감광성 착색 조성물, 블랙 매트릭스, 착색 스페이서, 화상 표시 장치 및 안료 분산액
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JP2016099048A (ja) * 2014-11-20 2016-05-30 株式会社東芝 供給熱量制御装置、供給熱量制御システム、供給熱量制御方法及びコンピュータプログラム
JP6581350B2 (ja) * 2014-12-05 2019-09-25 株式会社日立製作所 分散熱源プラントの運転計画立案装置及び分散熱源プラントの運転計画立案方法
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CN107894024B (zh) * 2017-11-22 2023-08-18 新奥泛能网络科技股份有限公司 多源热力管网的控制方法及系统
JPWO2020234935A1 (ja) * 2019-05-17 2021-06-10 日立ジョンソンコントロールズ空調株式会社 空調設置支援システムおよびプログラム
CN113932280A (zh) * 2021-10-20 2022-01-14 北京北燃供热有限公司 一种智能供热信息化管理平台
JP2024048289A (ja) * 2022-09-27 2024-04-08 京セラ株式会社 情報処理装置、情報処理方法、及びプログラム

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