CN101395431A - Cogeneration system - Google Patents

Cogeneration system Download PDF

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Publication number
CN101395431A
CN101395431A CNA2007800070695A CN200780007069A CN101395431A CN 101395431 A CN101395431 A CN 101395431A CN A2007800070695 A CNA2007800070695 A CN A2007800070695A CN 200780007069 A CN200780007069 A CN 200780007069A CN 101395431 A CN101395431 A CN 101395431A
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China
Prior art keywords
day
electric energy
mentioned
heat
forecasting object
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CNA2007800070695A
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Chinese (zh)
Inventor
井深丈
樋渡学
户塚俊吾
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Eneos Corp
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Nippon Oil Corp
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Publication of CN101395431A publication Critical patent/CN101395431A/en
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D11/00—Central heating systems using heat accumulated in storage masses
    • F24D11/002—Central heating systems using heat accumulated in storage masses water heating system
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D18/00—Small-scale combined heat and power [CHP] generation systems specially adapted for domestic heating, space heating or domestic hot-water supply
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D2101/00—Electric generators of small-scale CHP systems
    • F24D2101/30—Fuel cells
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D2101/00—Electric generators of small-scale CHP systems
    • F24D2101/70—Electric generators driven by internal combustion engines [ICE]
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D2103/00—Thermal aspects of small-scale CHP systems
    • F24D2103/10—Small-scale CHP systems characterised by their heat recovery units
    • F24D2103/13—Small-scale CHP systems characterised by their heat recovery units characterised by their heat exchangers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D2103/00—Thermal aspects of small-scale CHP systems
    • F24D2103/10—Small-scale CHP systems characterised by their heat recovery units
    • F24D2103/17—Storage tanks
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M2250/00—Fuel cells for particular applications; Specific features of fuel cell system
    • H01M2250/40—Combination of fuel cells with other energy production systems
    • H01M2250/405—Cogeneration of heat or hot water
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/0432—Temperature; Ambient temperature
    • H01M8/04373—Temperature; Ambient temperature of auxiliary devices, e.g. reformers, compressors, burners
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04694—Processes for controlling fuel cells or fuel cell systems characterised by variables to be controlled
    • H01M8/04701—Temperature
    • H01M8/04731—Temperature of other components of a fuel cell or fuel cell stacks
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04694—Processes for controlling fuel cells or fuel cell systems characterised by variables to be controlled
    • H01M8/04701—Temperature
    • H01M8/04738—Temperature of auxiliary devices, e.g. reformer, compressor, burner
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04694—Processes for controlling fuel cells or fuel cell systems characterised by variables to be controlled
    • H01M8/04858—Electric variables
    • H01M8/04925—Power, energy, capacity or load
    • H01M8/0494—Power, energy, capacity or load of fuel cell stacks
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/10—Applications of fuel cells in buildings
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00—Combustion technologies with mitigation potential
    • Y02E20/14—Combined heat and power generation [CHP]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/30—Hydrogen technology
    • Y02E60/50—Fuel cells
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y02P80/15—On-site combined power, heat or cool generation or distribution, e.g. combined heat and power [CHP] supply

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Heat-Pump Type And Storage Water Heaters (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

A cogeneration system (1) comprising a electric power and heat generator (11), an electric energy and heat quantity prediction means (101) for calculating prediction values of electric energy and heat quantity in a predetermined time zone on a prediction object day based on prestored electric energy and heat quantity used in the predetermined time zone, and a means (102) for controlling electric power and heat generated from the electric power and heat generator based on a prediction value calculated by the electric energy and heat quantity prediction means. The electric energy and heat quantity prediction means (101) calculated the prediction value by setting the weighting coefficients for the electric energy and heat quantity used one day before and seven days before the prediction object day, out of the electric energy and heat quantity used from one day to seven days before the prediction object day, larger than those for the electric energy and heat quantity used other days.

Description

Cogeneration system
Technical field
The present invention relates to cogeneration (cogeneration) system.
Background technology
Cogeneration system possesses the electric heating generation device that produces electricity and hot both sides.The electricity that produces in the electric heating generation device is fed into electrical equipment, and the heat that produces in power generation process is fed into hot equipment such as hot water, heating.Owing to then can effectively utilize the heat that produces in the power generation process, in importing the place, can reduce energy cost based on cogeneration system.
In recent years,, studied following technical scheme, that is, predicted electric energy and heat in advance, and made the running of electric heating generation device according to the electric energy and the heat of prediction in order to improve the efficiency of energy utilization of cogeneration system.For example, the cogeneration system of predicting economic operation mode and turning round has been described in patent documentation 1.
Patent documentation 1: TOHKEMY 2005-283028 communique
But, in patent documentation 1, do not have concrete research and how to predict economic operation mode.
Summary of the invention
The objective of the invention is to: a kind of cogeneration system that can improve the precision of prediction of electric energy and heat is provided.
In order to achieve the above object, cogeneration system of the present invention is characterised in that and comprises: the electric heating generation device is used for producing electricity and hot; Electric heating prediction parts are used for use electric energy and use heat according to the stipulated time section of storing in advance, the electric energy in the stipulated time section of calculating forecasting object day and the predicted value of heat; The electric heating control assembly, be used for predicting the predicted value that parts calculate according to electric heating, control is electric and hot from the generation of electric heating generation device, wherein, electric heating prediction parts forecasting object day from 1 day before by 7 days before till the use electric energy and use among the heat energy, with before 1 day and the use electric energy before 7 days and use the weight coefficient of heat energy to be made as and use the weight coefficient of heat energy big, calculate predicted value than the use electric energy of other day.
In above-mentioned cogeneration system, electric heating prediction parts are according to the use electric energy before 7 days before 1 day of forecasting object day and use electric energy and heat the stipulated time section of heat Calculation forecasting object day.In when prediction, with before 1 day of forecasting object day and the use electric energy before 7 days and use the weight coefficient of heat to be made as than before 1 day and the use electric energy of other day beyond before 7 days and use the weight coefficient of heat big.By increasing to being considered to the weight coefficient that electric energy before 1 day of natural environment that natural environments such as temperature and weather approach forecasting object day and heat give, to increase being considered to the weight coefficient that electric energy before 7 days of habits and customs that identical and habits and customs of week approach forecasting object day and heat give, thereby can improve the precision of prediction of the data of forecasting object day.In addition, electric heating prediction parts prediction electric energy and the heat corresponding with the stipulated time section.By at stipulated time section prediction electric energy and heat, thereby the various conditions (for example environmental condition, living condition etc.) that produce because of this stipulated time section can be reflected in the predicted value.In addition, weight coefficient is meant the coefficient of the ratio that each object data of expression is shared with respect to predicted value.That is, be the coefficient of each object data of expression effect that predicted value is brought.
Electric heating prediction parts are preferably by to the use electric energy each day till before 7 days before 1 day of forecasting object day and use heat to multiply by respectively and each uses electric energy and uses the corresponding weight coefficient of heat, and each value that multiplying obtains carried out add operation, calculate predicted value thus.At this moment, can easily predict electric energy corresponding and heat with the stipulated time section.
According to the present invention, can provide the cogeneration system of the precision of prediction that can improve electric energy and heat energy.
Description of drawings
Fig. 1 is the structural representation of the cogeneration system of embodiment.
Fig. 2 is the functional block diagram of operation control section part of the cogeneration system of embodiment.
Fig. 3 is the functional block diagram that the electric heating of the cogeneration system of embodiment is predicted parts.
Fig. 4 illustrates the flow chart that the operation control section part is controlled at the operation of the electricity that produces in the electric heating generation device and heat.
Fig. 5 is the flow chart that the electric energy that will use in the electrical equipment records the operation in the register system.
Fig. 6 is the flow chart that the heat that will use in the hot equipment records the operation in the register system.
Symbol description
1: cogeneration system; 2A, 2B: recuperation of heat pipe arrangement; 3: go out the hot water pipe arrangement; 10: the cogeneration unit; 11: the electric heating generation device; 12: heat exchanger; 13: the operation control section part; 14,51: power line; 20: the storage hot water unit; 21: the storage hot water storgae; Go out the hot water pipe arrangement at 22: the first; 23: pipe arrangement; 24: go up the water pipe arrangement; 25: three-way valve; Go out the hot water pipe arrangement at 26: the second; 30: hot water supply device; 40: register system; 41: galvanometer; 42: flowmeter; 43,44: thermometer; 50: the commercial power system; 60: water system; 61: water pipe; EI: electrical equipment; HI: hot equipment; 101: electric heating prediction parts; 102: electric heating produces control assembly; 101A: data obtain parts; 101B: electric energy prediction parts; 101C: heat prediction parts
The specific embodiment
Below, the embodiment that present invention will be described in detail with reference to the accompanying is fit to.In explanation, use same-sign for identical element or key element with identical function, and the repetitive description thereof will be omitted.In addition, below " water " in the explanation not only comprises the cold water as last water, can also comprise the water (hot water) of whole liquid conditions such as hot water that temperature is high.
Fig. 1 is the structural representation of the cogeneration system 1 of embodiment.As shown in Figure 1, cogeneration system 1 comprises cogeneration unit 10, storage hot water unit 20, hot water supply device 30 and register system 40.Cogeneration system 1 is connected with commercial power system 50 and water system 60.
Electricity that cogeneration system 1 will generate electricity in cogeneration unit 10 is supplied with electrical equipment EI, thereby and will be with the heat that produces in the power generation process warmed-up water be stored to and supply with hot equipment HI in the hot water unit 20.
Cogeneration unit 10 comprises electric heating generation device 11, heat exchanger 12 and operation control section part 13.Electric heating generation device 11 is the devices that produce electricity and hot both sides, for example is fuel cell or internal combustion engine (for example gas engine) and by the combination of this oil-engine driven TRT or the combination of external-combustion engine and TRT etc.Electric heating generation device 11 is exported to electrical equipment EI via power line 14 with the electricity that is produced, and heat exchanger 12 is given in the thermal output that will produce in power generation process.
Power line 14 is connected with the power line 51 of transmission from the electricity of commercial power system 50 supplies, and the electricity that not only will produce in electric heating generation device 11 is supplied with electrical equipment EI, also will supply with electrical equipment EI from the electricity of commercial power system 50.
The power line 14 that is connected with power line 51 is provided with galvanometer 41.As current value, galvanometer 41 measurements supply to the electric power of electrical equipment EI from electric heating generation device 11 and commercial power system 50.
Heat exchanger 12 is recovered in the heat that produces in the electric heating generation device 11, and heat is passed to the water in recuperation of heat pipe arrangement 2A, the 2B that makes the water circulation between heat exchanger 12 and storage hot water unit 20.More particularly, heat exchanger 12 transmits heat to the recuperation of heat of flowing out from storage hot water unit 20 with the water in the pipe arrangement 2B, and makes and transmitted hot current direction and flow into the recuperation of heat of storage hot water unit 20 with in the pipe arrangement 2A.Operation control section part 13 is the parts that are used to control the running of electric heating generation device 11, is the parts that are used for according to the running of the predicted value control electric heating generation device 11 of electric energy described later and heat.
Storage hot water unit 20 has storage hot water storgae 21 and three-way valve 25, they via first go out hot water with pipe arrangement 22, pipe arrangement 23, go up water and go out hot water usefulness pipe arrangement 26 with pipe arrangement 24 and second and be connected with hot water supply device 30.Storage hot water storgae 21 is to transmitted the jar that hot water is stored in heat exchanger 12.Storage hot water storgae 21 is connected with pipe arrangement 2A with recuperation of heat on top, becomes via recuperation of heat can flow into the structure of having been transmitted hot water in heat exchanger 12 with pipe arrangement 2A.Storage hot water storgae 21 is connected with pipe arrangement 2B with recuperation of heat in the bottom, becomes the water outflow that can make the bottom that is stored in hot water storgae 21 and flow into structure in the heat exchanger 12.
Storage hot water storgae 21 further goes out hot water and is connected with pipe arrangement 22 with first on top, becomes the structure of the hot water that can export the top that is stored in hot water storgae 21.Storage hot water storgae 21 is connected with pipe arrangement 23 in the bottom, and becoming can be from the structure of water on the underfeed of storage hot water storgae 21.Flow into from the last water of last water to pipe arrangement 23 with pipe arrangement 24.
Three-way valve 25 becomes to make from first and goes out hot water with pipe arrangement 22 and go up water and can go out the structure of hot water with pipe arrangement 26 outflows to second with the water that pipe arrangement 24 both sides flow into.The water pipe 61 of water is connected last water with supplying with upward from the water system 60 of commercialization to storage hot water unit 20 with pipe arrangement 24.Water pipe 61 is provided with thermometer 43, and instrumentation is to the temperature of the last water of storage hot water unit 20 supplies.
Second goes out hot water makes by first with pipe arrangement 26 and goes out water that hot water transports with pipe arrangement 22 and water or a kind of water that two kinds of water of the water that transports with pipe arrangement 24 by last water mix flow out to hot water supply device 30.Second goes out hot water is connected with flowmeter 42 with pipe arrangement 26, and instrumentation flows into the flow of the water of hot water supply device 30.
Hot water supply device 30 will go out hot water by second and supply with hot equipment HI via going out hot water with pipe arrangement 3 with the water that pipe arrangement 26 flows into.Hot water supply device 30 heats with the water that pipe arrangement 26 flows into going out hot water by second as required.Go out hot water and be provided with thermometer 44 with pipe arrangement 3.44 pairs of temperature of supplying with the water of hot equipment HI from hot water supply device 30 of thermometer are carried out instrumentation.
Register system 40 is carried out record with the measured value of galvanometer 41, the measured value of flowmeter 42, the measured value of thermometer 43 and the measured value of thermometer 44 with measuring day and minute section.As required in when record, the measured value of the measured value of the measured value of the measured value of galvanometer 41, flowmeter 42, thermometer 43 and thermometer 44 is changed to the form that needs come record.
That is, register system 40 is for example calculated the electric energy of each time period according to the measured value of galvanometer 41, and records in the built-in hard disk with measuring day and minute.In addition, register system 40 is for example calculated the heat of each time period according to the measured value of flowmeter 42, the measured value of thermometer 43 and the measured value of thermometer 44, and records in the built-in hard disk with measuring day and minute.
The function of operation control section part 13 then, is described with reference to Fig. 2.Fig. 2 is the illustrative view of functional configuration of operation control section part 13.As shown in Figure 2, operation control section part 13 comprises that electric heating prediction parts (electric heating prediction parts) 101 and electric heating produce control assembly (electric heating control assembly) 102.
Electric heating prediction parts 101 calculate the predicted value of in the stipulated time of forecasting object day section (that is forecasting object time period) needed electric energy and heat.Electric heating produces the electric energy that control assembly 102 calculates according to electric heating prediction parts 101 and the predicted value of heat, and control makes electricity that electric heating generation device 11 produces and hot.
For the function of electric heating prediction parts 101, utilize Fig. 3 to be described more specifically.Fig. 3 is the illustrative view of functional configuration of electric heating prediction parts 101.As shown in Figure 3, electric heating prediction parts 101 comprise that data obtain parts 101A, electric energy prediction parts 101B and heat prediction parts 101C.
Data obtain parts 101A use electric energy the stipulated time section before 7 days and use heat before register system 40 obtains from forecasting object day 1 day.Use electric energy and use heat to be illustrated respectively in electric energy and the heat that uses in the stipulated time section.
At this, consider forecasting object day to be on March 8th, 2006, forecasting object time period and to be situation from time period of 18 o'clock to 19 o'clock.In register system 40, use electric energy and use the data of heat to store accordingly with date and time information and time period information respectively.At this moment, data obtain parts 101A and obtain the use electric energy from 18 o'clock to 19 o'clock time period on March 1 and the data of using heat from register system 40.
Electric energy prediction parts 101B calculates the predicted value at the electric energy of forecasting object in the time period according to the use electric energy of forecasting object the time period before 7 days before 1 day of being obtained forecasting object day that parts 101A obtains by data.In when prediction, electric energy prediction parts 101B is made as use electric energy and the weight coefficient of forecasting object 7 day before use electric energy in time period of the forecasting object before 1 day of forecasting object day in the time period bigger than the weight coefficient of the use electric energy of forecasting object in the time period of other day.Specifically, electric energy prediction parts 101B for example multiply by by the use electric energy each day before 7 days before 1 day with forecasting object day and each uses the corresponding weight coefficient of electric energy, and each value that this multiplying obtains carried out add operation, thereby calculate the predicted value of electric energy.Weight coefficient be meant each object data of expression (this be from 1 day before the data of use electric energy before by 7 days) coefficient of the ratio shared with respect to predicted value.That is, be the coefficient of each object data of expression effect that predicted value is brought.
For example, specifying forecasting object day is on March 8th, 2006, forecasting object time period to be one hour situation from 18 o'clock to 19 o'clock.At this moment, shown in (1), with the use electric energy W in 18 point～19 on March 7th, 2006 (before 1 day) 1And the use electric energy W among 18～19 of on March 1st, 2006 (before 7 days) 7On the basis that the two weight coefficient increases, multiply by the use electric energy W in 18 point～19 till March 1 to 7 days March in 2006 in 2006 1～W 7Weight coefficient, and each value that multiplying obtains carried out add operation, calculate the predicted value W of electric energy.
W＝W 1×4/13+W 2×1/13+W 3×1/13+W 4×1/13+W 5×1/13+W 6×1/13+W 7×4/13 ...(1)
The predicted value of the electric energy in 18 point～19 in W:2006 March 8
W 1: the use electric energy in 18 point～19 on March 7th, 2006 (before 1 day)
W 2: the use electric energy in 18 point～19 on March 6th, 2006 (before 2 days)
W 3: the use electric energy in 18 point～19 on March 5th, 2006 (before 3 days)
W 4: the use electric energy in 18 point～19 on March 4th, 2006 (before 4 days)
W 5: the use electric energy in 18 point～19 on March 3rd, 2006 (before 5 days)
W 6: the use electric energy in 18 point～19 on March 2nd, 2006 (before 6 days)
W 7: the use electric energy in 18 point～19 on March 1st, 2006 (before 7 days)
The example of formula (1) shows before with forecasting object day 1 day and the data weight coefficient separately before 7 days is made as 4 times situation of the weight coefficient of other day.
Heat prediction parts 101C calculates the predicted value of the heat of forecasting object in the time period according to the use heat of forecasting object the time period before 7 days before 1 day of being obtained forecasting object day that parts 101A obtains by data.In when prediction, heat prediction parts 101C is made as use heat and the weight coefficient of forecasting object 7 day before use heat in time period of the forecasting object before 1 day of forecasting object day in the time period bigger than the weight coefficient of the use heat of forecasting object in the time period of other day.Specifically, heat prediction parts 101C for example multiply by by the use heat each day before 7 days before 1 day with forecasting object day and each uses the corresponding weight coefficient of heat, and each value that multiplying obtains carried out add operation, calculate the predicted value of heat thus.
For example, specifying forecasting object day is on March 8th, 2006, forecasting object time period to be one hour situation from 18 o'clock to 19 o'clock.At this moment, shown in (2), with the use heat J in 18 point～19 on March 7th, 2006 (before 1 day) 1And the use heat J among 18～19 of on March 1st, 2006 (before 7 days) 7On the basis that the two weight coefficient increases, multiply by the use heat J from 18 point～19 on March 7th, 1 day 1 March in 2006 1～J 7Weight coefficient, and each value that multiplying obtains carried out add operation, calculate the predicted value W of heat.
J＝J 1×4/13+J 2×1/13+J 3×1/13+J 4×1/13+J 5×1/13+J 6×1/13+J 7×4/13 ......(2)
The predicted value of the heat in 18 point～19 in J:2006 March 8
J 1: the use heat in 18 point～19 on March 7th, 2006 (before 1 day)
J 2: the use heat in 18 point～19 on March 6th, 2006 (before 2 days)
J 3: the use heat in 18 point～19 on March 5th, 2006 (before 3 days)
J 4: the use heat in 18 point～19 on March 4th, 2006 (before 4 days)
J 5: the use heat in 18 point～19 on March 3rd, 2006 (before 5 days)
J 6: the use heat in 18 point～19 on March 2nd, 2006 (before 6 days)
J 7: the use heat in 18 point～19 on March 1st, 2006 (before 7 days)
The example of formula (2) shows before with forecasting object day 1 day and the data weight coefficient separately before 7 days is made as 4 times situation of the weight coefficient of other day.
The operation of the cogeneration system 1 of present embodiment then, is described with reference to Fig. 4～Fig. 6.
Fig. 4 is electricity and the hot operating process schematic diagram of controlling that produces in 13 pairs of electric heating generation devices 11 of operation control section part.As shown in Figure 4, at first, being built in timer in the operation control section part 13, to judge whether to reach the predictor calculation time started be (for example, 17: 50) (step S1) before 10 minutes of forecasting object time period (for example, since 18 o'clock to 19 o'clock time period).Reach predictor calculation during the time started when operation control section part 13 is judged as, be included in data in the electric heating prediction parts 101 of operation control section part 13 obtain parts 101A obtains forecasting object day respectively from register system 40 forecasting objects before 7 days before 1 day the time period the use electric energy and use heat (step S2).
The electric energy prediction parts 101B and the heat prediction parts 101C that are included in the electric heating prediction parts 101 calculate the electric energy of forecasting object in the time period and the predicted value of heat (step S3).Electric energy prediction parts 101B with the forecasting object before 1 day of forecasting object day in the time period the use electric energy and on the two weight coefficient of the use electric energy of the forecasting object before 7 days in the time period is made as than the big basis of the weight coefficient of the use electric energy of forecasting object in the time period of other day, by multiply by before 1 day the weight coefficient of the use electric energy of forecasting object the time period before 7 days, and each value that multiplying obtains carried out add operation, calculate the predicted value of electric energy thus.
On the other hand, heat prediction parts 101C with the forecasting object before 1 day of forecasting object day in the time period the use heat and on the two weight coefficient of the use heat of the forecasting object before 7 days in the time period is made as than the big basis of the weight coefficient of the use electric energy of forecasting object in the time period of other day, multiply by before 1 day the weight coefficient of the use heat of forecasting object the time period before 7 days, and each value that multiplying obtains carried out add operation, calculate the predicted value of heat thus.
The electric heating of operation control section part 13 produces control assembly 102 according to the electric energy that calculates and the predicted value of heat in electric heating prediction parts 101, electricity and heat that electric heating generation device 11 produces are controlled (step S4).
Afterwards, if arrive predictor calculation time started, then operation control section part 13 operation of repeating step S1～S4 once more.
Fig. 5 is the schematic flow sheet that the electric energy that will consume in electrical equipment EI records the operation in the register system 40.Galvanometer 41 mensuration supply to the electric current (step S11) of electrical equipment EI from electric heating generation device 11 and commercial power system 50.The CPU that is built in the register system 40 multiply by magnitude of voltage (for example 100V) with the current value of being measured, and calculates electrical power (step S12).
The CPU of register system 40 repeats the mensuration of current value and the calculating (step S13) of electrical power till the electrical power of the stipulated time that obtains being equivalent to the minute section (for example one hour).The electrical power of the CPU accumulative total stipulated time of register system 40 is calculated the electric energy (step S14) in the minute section.Electric energy that the CPU of register system 40 will obtain in step S14 and date and time information and minute segment information record in for example built-in hard disk etc. (step S15) accordingly.
Fig. 6 is that the heat that will use in hot equipment HI records the operating process schematic diagram in the register system 40.Flowmeter 42 is measured the flow F that supplies to hot water supply device 30 from storage hot water unit 20, and thermometer 43 is measured the temperature T that goes up water In, thermometer 44 is measured the temperature T of the hot water that comes out from hot water supply device 30 Out(step S21).The CPU of register system 40 utilizes flow F and the temperature T of measuring In, T Out, calculate instantaneous heat H (step S22) according to following formula (3).
H＝(T out-T in)×F ......(3)
The CPU of register system 40 repeats flow F and temperature T till the instantaneous heat H of the stipulated time that obtains being equivalent to the minute section (for example one hour) In, T OutMensuration and the calculating (step S23) of instantaneous heat H.The instantaneous heat H of the CPU accumulative total stipulated time of register system 40, the heat (step S24) of computational rules in the time period.Heat that the CPU of register system 40 will obtain in step S24 and date and time information and minute segment information record in for example built-in hard disk etc. (step S25) accordingly.
In cogeneration system 1, electric heating prediction parts 101 according to forecasting object day from the use electric energy before 7 days before 1 day and use heat, calculate the electric energy of forecasting object in the time period and the predicted value of heat.In when prediction, with before 1 day of forecasting object day and the use electric energy before 7 days and use the two weight coefficient of heat to be made as and use the weight coefficient of heat big than the use electric energy of forecasting object time period of other day.It before 1 day of forecasting object day the sky that approaches forecasting object day in the past among 7 days in time most.Therefore, increase by weight coefficient, thereby natural environments such as temperature and weather can be reflected in the predicted value the data before 1 day.In addition, it was the week identical before 7 of forecasting object day days with forecasting object day.Can think and live in each week usually according to the normalized cycle.Therefore, increase by weight coefficient, thereby habits and customs can be reflected in the predicted value the data before 7 days.Like this, increase by weight coefficient data before 1 day of forecasting object day (use electric energy and use heat) and the data before 7 days (use electric energy and use heat), thereby can reflect the two prediction of natural environment and habits and customs, can improve precision of prediction.
Electric heating prediction parts 101 calculate the electric energy of needs and the predicted value of heat at the forecasting object time period.By each being calculated forecasting object time period the predicted value of electric energy and heat, thereby the various conditions (for example, habits and customs such as natural environment such as sunshine condition or temperature conditions, bathtime section etc.) that derive from each time period can be reflected in the predicted value.
In addition, the method of prediction electric energy and heat can be considered following method in electric heating prediction parts 101: on the basis that the two weight coefficient of data before for example with 1 day (use electric energy and use heat) and the data before 7 days (use electric energy and use heat) increases, with the use electric energy each day before 7 days before 1 day of forecasting object day and use the weight coefficient that heat multiply by respectively and each uses electric energy and uses heat, and each value that multiplying obtains is carried out add operation.At this moment, can predict electric energy and heat simply, so be preferred.
More than suitable embodiment of the present invention is illustrated, but the present invention is not limited to the foregoing description, can carry out various distortion. is for example; Electric heating prediction unit 101 can according to forecasting object day from 1 day before before by 7 days the forecasting object time period the use electric energy and use heat with 1 day before and 7 days before use electric energy and the basis of using the weight coefficient of heat the to increase predicted value of calculating electric energy and heat, also can not according to as example among the above-mentioned embodiment by multiply by respectively corresponding to each with electric energy and with heat each day before 7 days before 1 day of forecasting object day calculated with electric energy and with the weight coefficient of heat and to the mode that respectively value that multiplying obtains is carried out add operation.
In addition, when calculating the predicted value of electric energy, be applicable to 1 day before and the weight coefficient of the use electric energy before 7 days with when calculating the predicted value of heat, be applicable to 1 day before and 7 days before the weight coefficient of use heat can be different.Thereby, for example, when calculating the predicted value of electric energy, can with before 1 day of forecasting object day and the use electric energy weight coefficient separately before 7 days be made as 4 times of weight coefficient of the use electric energy of other day, and when calculating the predicted value of heat, with before 1 day of forecasting object day and the use heat weight coefficient separately before 7 days be made as 6 times of weight coefficient of the use heat of other day.
In addition, the weight coefficient of use electric energy before 7 days of the weight coefficient of use electric energy before 1 of forecasting object day day and use heat and forecasting object day and use heat can be different.For example, be Sunday before 1 day when forecasting object day is Monday, be Friday before 1 day when forecasting object day is Saturday.Like this, with respect to forecasting object day on ordinary days or holiday, sky before 1 day is holiday or on ordinary days the time, also the weight coefficient of the use electric energy before 7 days (perhaps using heat energy) can be made as bigger than the weight coefficient of the use electric energy (perhaps using heat energy) before 1 day.

Claims (4)

1. cogeneration system is characterized in that comprising:
The electric heating generation device is used for producing electricity and hot;
Electric heating prediction parts are used for use electric energy and use heat according to the stipulated time section of storing in advance, calculate the electric energy of afore mentioned rules in the time period and the predicted value of heat of forecasting object day;
The electric heating control assembly is used for predicting the above-mentioned predicted value that parts calculate according to above-mentioned electric heating that control makes the electric and hot of above-mentioned electric heating generation device generation,
Above-mentioned electric heating prediction parts forecasting object day from 1 day before among the above-mentioned use electric energy and above-mentioned use heat energy before by 7 days, with before 1 day and the weight coefficient of above-mentioned use electric energy before 7 days and above-mentioned use heat energy be made as greatlyyer than the weight coefficient of the above-mentioned use electric energy of other day and above-mentioned use heat energy, calculate above-mentioned predicted value thus.
2. cogeneration system according to claim 1 is characterized in that:
Above-mentioned electric heating prediction parts multiply by respectively and each above-mentioned use electric energy and the corresponding weight coefficient of above-mentioned use heat energy by above-mentioned use electric energy and the above-mentioned use heat energy each day before 7 days before 1 day with above-mentioned forecasting object day, and respectively be worth addition with what multiplying obtained, calculate above-mentioned predicted value thus.
3. cogeneration system according to claim 1 and 2 is characterized in that:
When above-mentioned forecasting object day be on ordinary days, sky before 1 day of this forecasting object day is during for holiday, perhaps the sky before above-mentioned forecasting object day is holiday, this forecasting object day 1 day is on ordinary days the time, the weight coefficient of the above-mentioned use electric energy before 7 days of above-mentioned forecasting object day is made as bigger than the weight coefficient of the above-mentioned use electric energy before 1 day.
4. cogeneration system according to claim 1 and 2 is characterized in that:
When above-mentioned forecasting object day be on ordinary days, sky before 1 day of this forecasting object day is during for holiday, perhaps the sky before above-mentioned forecasting object day is holiday, this forecasting object day 1 day is on ordinary days the time, the weight coefficient of the above-mentioned use heat before 7 days of above-mentioned forecasting object day is made as bigger than the weight coefficient of the above-mentioned use heat before 1 day.
CNA2007800070695A 2006-03-15 2007-03-12 Cogeneration system Pending CN101395431A (en)

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