KR20080104195A - Cogeneration system - Google Patents

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. ® KIPO & WIPO 2009

Description

Cogeneration System {COGENERATION SYSTEM}

The present invention relates to a cogeneration system.

The cogeneration system includes an electrothermal generator that generates both electric power and heat. Electric power generated by the electrothermal generator is supplied to an electric device, and heat generated by power generation is supplied to hot air such as hot water supply and heating. The cogeneration system makes it possible to effectively use heat generated by power generation, so that energy costs at the introduction site can be reduced.

In recent years, in order to improve the energy utilization efficiency of a cogeneration system, it is considered to predict an amount of electricity and a quantity of heat in advance, and to operate an electrothermal generator based on the predicted quantity of electricity and quantity of heat. For example, Patent Document 1 describes a cogeneration system that predicts and operates an economical driving pattern.

Patent Document 1: Japanese Unexamined Patent Publication No. 2005-283028

Problems to be Solved by the Invention

However, Patent Document 1 does not specifically examine how to predict economical driving patterns.

An object of the present invention is to provide a cogeneration system capable of improving the prediction accuracy of power amount and calorific value.

Means to solve the problem

In order to achieve such an object, the cogeneration system according to the present invention is a heat generation apparatus that generates electric power and heat, and a predetermined time zone on a predicted date, based on the amount of power used and the amount of heat used in a predetermined time zone. Electrothermal predicting means for calculating a predicted value of the amount of electricity and the amount of heat, and electrothermal control means for controlling the power and heat generated from the electrothermal generator based on the predicted value calculated by the electrothermal predicting means, The weighting coefficients for the amount of power used and the amount of heat consumed 1 day and 7 days before and 7 days before the date to be predicted are greater than the weighting factors for the amount of power used and the amount of heat consumed on other days. Importantly, the predicted value is calculated.

In the cogeneration system, the electrothermal predicting means predicts the amount of power and the amount of heat in a predetermined time period on the date of the prediction target based on the amount of power used and the amount of heat used up to seven days before the date to be predicted. In the prediction, weighting coefficients for the amount of power used and the amount of heat used 1 day and 7 days before the date to be predicted are more important than the weighting factors for the amount of power used and the amount of heat used on days other than 1 day and 7 days ago. . The weighting factor given to the amount of electricity and calories a day before it is considered that the natural environment, such as temperature and weather, is close to the natural environment of the day to be predicted is important, and 7 is considered that the day of the week is the same and the lifestyle is close to the lifestyle of the day to be predicted. By placing importance on the weighting coefficients applied to the amount of power and the amount of heat before, it becomes possible to improve the accuracy of prediction of the data on the date of prediction. The heat transfer prediction means predicts the amount of power and the amount of heat for a predetermined time period. By predicting the amount of electricity and the amount of heat for a predetermined time period, it becomes possible to reflect various conditions (for example, environmental conditions, living conditions, etc.) derived from the predetermined time period in the predicted value. In addition, a weighting coefficient means the coefficient which shows the ratio which each object data occupies with respect to a prediction value. That is, it is a coefficient indicating the degree of influence of each target data on the predicted value.

The electrothermal prediction means multiplies weighting coefficients corresponding to each of the used power amount and the used heat amount by each of the used power amount and the used heat amount on each day 1 day to 7 days before the predicted date, It is preferable to calculate a predictive value by adding a value. In this case, the amount of power and the amount of heat for a predetermined time period can be easily estimated.

Effects of the Invention

Advantageous Effects of Invention The present invention can provide a cogeneration system capable of improving the accuracy of predicting the amount of electricity and the amount of heat.

BRIEF DESCRIPTION OF THE DRAWINGS The figure which shows the structure of the cogeneration system which concerns on embodiment.

2 is a functional block diagram of an operation control unit of a cogeneration system according to an embodiment.

3 is a functional block diagram of a heat transfer prediction unit of a cogeneration system according to an embodiment.

Fig. 4 is a flowchart showing an operation in which an operation control unit controls power and heat generated in the electrothermal generator.

Fig. 5 is a flowchart showing an operation of recording an amount of power used in an electric device into a recording system.

Fig. 6 is a flowchart showing an operation of recording the amount of heat used in the hot air into a recording system.

Explanation of symbols on the main parts of the drawings

1: cogeneration system 2A, 2B: heat recovery piping

3: piping for tapping 10: cogeneration unit

11: electrothermal generator 12: heat exchanger

13: operation control unit 14, 51: power line

20: water storage unit 21: water storage tank

22: the first tapping piping 23 piping

24: water pipe 25: three-way valve

26: second hot water supply pipe 30: hot water heater

40: recording system 41: ammeter

42 flowmeter 43, 44 thermometer

50: commercial power system 60: water supply system

61: water pipe EI: electrical equipment

HI: Heat 101: Electric Heat Prediction

102: electrothermal generation control unit 101A: data acquisition unit

101B: power amount predictor 101C: calorie predictor

EMBODIMENT OF THE INVENTION Hereinafter, preferred embodiment of this invention is described in detail with reference to an accompanying drawing.

In addition, in description, the same code | symbol is used for the same element or the element which has the same function, and the overlapping description is abbreviate | omitted. In addition, "water" in the following description can include all the water (hot water) which is not only cold water like a constant, but also a liquid state, such as hot water with high temperature.

FIG. 1: is a figure which shows the structure of the cogeneration system 1 which concerns on embodiment. As shown in FIG. 1, the cogeneration system 1 includes a cogeneration unit 10, a hot water unit 20, a hot water heater 30, and a recording system 40. The cogeneration system 1 is connected to the commercial power system 50 and the water supply system 60.

The cogeneration system 1 supplies electric power generated by the cogeneration unit 10 to the electric device EI, and stores the water heated by the heat generated by the power generation in the water storage unit 20 to open the heat generator HI. To feed.

The cogeneration unit 10 includes an electrothermal generator 11, a heat exchanger 12, and an operation control unit 13. The electrothermal generator 11 is a device that generates both electric power and heat, for example, a fuel cell or a combination of an internal combustion engine (for example, a gas engine) and a power generator driven by the internal combustion engine, or an external combustion engine. Combinations of engines and generators. The electrothermal generator 11 outputs the generated electric power to the electric device EI via the power line 14, and outputs the heat generated by the power generation to the heat exchanger 12.

The electric power line 14 is connected to the electric power line 51 which transmits electric power supplied from the commercial electric power system 50, and not only the electric power which the electric heat generating apparatus 11 generate | occur | produced, but also the electric power from the commercial electric power system 50. Also supplied to the electric appliance (EI).

An ammeter 41 is provided on the power line 14 connected to the power line 51. The ammeter 41 measures the electric power supplied to the electric equipment EI from the electrothermal generator 11 and the commercial power system 50 as a current value.

The heat exchanger 12 recovers the heat generated by the electrothermal generator 11, and the water in the heat recovery pipes 2A and 2B for circulating water between the heat exchanger 12 and the water storage unit 20. To transfer heat. More specifically, the heat exchanger 12 transfers heat to the water in the heat recovery pipe 2B flowing out from the water storage unit 20, and the heat recovery pipe 2A flows into the water storage unit 20. Flow heat-transfer water inside. The operation control unit 13 is a means for controlling the operation of the electrothermal generator 11, and is a means for controlling the operation of the electrothermal generator 11 based on the predicted values of the amount of electricity and the amount of heat described later.

The water storage unit 20 has the water storage tank 21 and the 3-way valve 25, These are the 1st tapping-out piping 22, the piping 23, the water supply piping 24, and the 2nd It is connected to the hot water heater 30 via the tapping pipe 26. The storage tank 21 is a tank which stores the water heat-transferred in the heat exchanger 12. The water storage tank 21 is connected to 2 A of heat recovery piping from the upper part, and it is set as the structure which can flow in the water transferred by the heat exchanger 12 via 2 A of heat recovery piping. The storage tank 21 is connected to the heat recovery piping 2B at the lower portion thereof, and is configured to allow water stored in the lower portion of the storage tank 21 to flow out into the heat exchanger 12.

The water storage tank 21 is connected to the 1st tapping pipe 22 from the upper part, and it is set as the structure which can tap water stored in the upper part of the water storage tank 21. The water storage tank 21 is connected to the piping 23 from the lower part, and it is set as the structure which can supply a water supply from the lower part of the water storage tank 21. FIG. The constant water flows into the pipe 23 from the water pipe 24.

The three-way valve 25 is configured to allow the water flowing in from both the first tapping pipe 22 and the water supply pipe 24 to flow into the second tapping pipe 26. The water pipe 24 is connected to a water pipe 61 for supplying water from the commercial water supply system 60 to the water storage unit 20. The thermometer 43 is provided on the water pipe 61, and the temperature of the constant supplied to the water storage unit 20 is measured.

The 2nd tapping water piping 26 mixes the water or one water which mixed both the water conveyed by the 1st tapping water piping 22 and the water conveyed by the water supply piping 24 to the water heater 30. Spills. The flowmeter 42 is connected to the 2nd tapping pipe 26, and the flow volume of the water which flows into the hot water heater 30 is measured.

The hot water heater 30 supplies the water introduced by the second tapping pipe 26 to the hot air HI through the tapping pipe 3. The hot water heater 30 heats the water introduced by the second tapping pipe 26 as necessary. A thermometer 44 is installed on the tapping pipe 3. The thermometer 44 measures the temperature of the water supplied from the hot water heater 30 to the hot air HI.

The recording system 40 records the measured value of the ammeter 41, the measured value of the flowmeter 42, the measured value of the thermometer 43, and the measured value of the thermometer 44 together with a measurement date and a measurement time zone. The measured value of the ammeter 41, the measured value of the flowmeter 42, the measured value of the thermometer 43, and the measured value of the thermometer 44 are recorded in the format necessary at the time of recording as needed.

That is, the recording system 40 calculates the amount of electric power in each time zone based on the measured value of the ammeter 41, for example, and records it on the built-in hard disk at the same time as the measurement date and measurement time. In addition, the recording system 40 calculates the heat quantity of each time zone based on the measurement value of the flowmeter 42, the measurement value of the thermometer 43, and the measurement value of the thermometer 44, for example, Write to the built-in hard disk at the same time.

Next, the function of the operation control unit 13 will be described with reference to FIG. 2. 2 is a diagram illustrating a functional configuration of the driving control unit 13. As shown in FIG. 2, the driving control unit 13 includes a heat transfer predicting unit 101 (heat transfer predicting means) and a heat transfer generating control unit 102 (heat transfer control means).

The electrothermal predicting unit 101 calculates an estimated value of the amount of power and the amount of heat required in a predetermined time zone (that is, the predicted time zone) of the prediction target day. The heat generation generation control unit 102 controls the power and heat generated by the heat generation generation device 11 based on the estimated values of the amount of electricity and the amount of heat calculated by the heat transfer prediction unit 101.

The function of the electrothermal predicting unit 101 will be described in more detail with reference to FIG. 3. 3 is a diagram illustrating a functional configuration of the heat transfer predictor 101. As shown in FIG. 3, the electrothermal predicting unit 101 includes a data acquiring unit 101A, a power amount predicting unit 101B, and a heat quantity predicting unit 101C.

The data acquisition unit 101A acquires the use power amount and the use heat amount from the recording system 40 in a predetermined time period from one day before seven days before the prediction target date. The amount of power used and amount of heat used represent the amount of power used and the amount of heat used in a predetermined time period, respectively.

Here, the case where the prediction target date is March 8, 2006 and the prediction target time zone is the time zone from 18:00 to 19:00 is considered. In the recording system 40, data of the amount of power used and the amount of heat used are stored in correspondence with date information and time zone information, respectively. In this case, the data acquisition unit 101A acquires, from the recording system 40, data of the use power amount and the use heat amount in the time zone from 18:00 to 19:00 on March 1.

The power amount predicting unit 101B calculates an estimated value of the amount of power in the predicted time zone based on the amount of power used in the predicted time zone 1 day to 7 days before the predicted target day acquired by the data acquiring unit 101A. do. In the prediction, the power amount predicting unit 101B calculates a weighting coefficient for the amount of power used in the prediction target time zone one day before the prediction target day and the amount of power used in the prediction target time zone seven days ago in the prediction target time zone on another day. It is more important than weighting factor for the amount of power used. Specifically, the power amount predicting unit 101B multiplies a weighting factor corresponding to each of the used power amounts with respect to the used power amounts on each day 1 day to 7 days before the predicted date, for example. The estimated value of the amount of power is calculated by adding each multiplied value. The weighting coefficient means the coefficient which shows the ratio which each target data (the data of the amount of used electric power from 1 day ago to 7 days ago) occupies with a prediction value. That is, it is a coefficient indicating the degree of influence of each target data on the predicted value.

For example, the case where the prediction target date is March 8, 2006 and the prediction target time zone is one hour from 18:00 to 19:00 will be described in detail. In this case, as shown in the following formula (1), the power consumption W ₁ from 18:00 to 19:00 on March 7, 2006 (one day before) and March 1, 2006 (about 7 days ago) Emphasis on the weighting factors for both of the power consumption W ₇ from 18 o'clock to 19 o'clock, and then the power consumption at 1 o'clock to 19 o'clock between March 1, 2006 and March 7, 2006 W ₁ to W _The weighting factor corresponding to ₇ is multiplied, and each multiplied value is added to calculate the predicted value W of the amount of power.

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

                              · · · (One)

W: Estimated power amount at 18:00 to 19:00 on March 8, 2006

W ₁ : Power consumption at 18:00 to 19:00 on March 7, 2006 (1 day before)

W ₂ : Power consumption at 18:00 to 19:00 on March 6, 2006 (two days ago)

W ₃ : Power consumption at 18:00 to 19:00 on March 5, 2006 (3 days ago)

W ₄ : Power consumption at 18:00 to 19:00 on March 4, 2006 (4 days ago)

W ₅ : Power consumption at 18:00 to 19:00 on March 3, 2006 (5 days ago)

W ₆ : Power consumption at 18:00 to 19:00 on March 2, 2006 (six days ago)

W ₇ : Power consumption at 18:00 to 19:00 on March 1, 2006 (7 days ago)

The example of Formula (1) shows the case where the weighting coefficient for each data 1 day before and 7 days before a prediction target date was made four times the weighting coefficient for another day.

The calorie predicting unit 101C calculates an estimated value of calories in the predicted target time zone based on the calories used in the predicted target time zone from 1 day to 7 days before the predicted target day acquired by the data acquiring unit 101A. do. In the prediction, the calorie predicting unit 101C calculates a weighting coefficient for the calories used in the predicted time zone 1 day before the predicted date and the calories used in the predicted time zone 7 days ago in the predicted time zone on another day. It is more important than weighting factor for calories used. Specifically, the calorific value predicting unit 101C multiplies the weight value coefficient corresponding to each calorific value with respect to the calorific value used on each day 1 day to 7 days before the predicted date, for example. The estimated value of calories is computed by adding each calculated value.

For example, the case where the prediction target date is March 8, 2006 and the prediction target time zone is one hour from 18:00 to 19:00 will be described in detail. In this case, as shown in the following formula (2), the calories of use J ₁ from 18:00 to 19:00 on March 7, 2006 (one day before) and March 1, 2006 (about 7 days ago) Focusing on the weighting coefficients for both of the use calories J ₇ between 18 and 19 o'clock, then the calories used from 1 o'clock to 19 o'clock between March 1, 2006 and March 7, 2006, J ₁ to J _The weighting factor corresponding to ₇ is multiplied, and each multiplied value is added to 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)

J ₁ : Prediction of calories at 18:00 to 19:00 on March 8, 2006

J ₂ : Use calories from 18:00 to 19:00 on March 7, 2006 (1 day before)

J ₃ : Use calories from 18:00 to 19:00 on March 6, 2006 (two days ago)

J ₄ : Use calories from 18:00 to 19:00 on March 5, 2006 (3 days ago)

J ₅ : Use calories from 18:00 to 19:00 on March 4, 2006 (4 days ago)

J ₆ : Use calories from 18:00 to 19:00 on March 3, 2006 (5 days ago)

J ₇ : Use calories from 18:00 to 19:00 on March 2, 2006 (6 days ago)

J ₈ : Use calories from 18:00 to 19:00 on March 1, 2006 (7 days ago)

The example of Formula (2) shows the case where the weighting coefficient with respect to the data 1 day before and 7 days before the prediction target day was made four times the weighting coefficient for another day.

Next, the operation of the cogeneration system 1 according to the present embodiment will be described with reference to FIGS. 4 to 6.

4 is a flowchart illustrating an operation in which the operation control unit 13 controls the power and heat generated by the electrothermal generator 11. As shown in Fig. 4, first, a timer built in the driving control unit 13 is 10 minutes before the start of the prediction target time zone (e.g., the time zone from 18:00 to 19:00), which is the prediction value calculation start time. For example, it is determined whether or not it reaches 17:50 (step S1). When the driving control unit 13 determines that the predicted value calculation start time has been reached, the data acquisition unit 101A included in the heat transfer predicting unit 101 of the driving control unit 13 has a range from 1 day to 7 days before the predicted target date. The amount of power used and amount of heat used in the predicted time zone are acquired from the recording system 40, respectively (step S2).

The power amount predicting unit 101B and the calorie predicting unit 101C included in the heat transfer predicting unit 101 calculate predicted values of the amount of power and the amount of heat in the predicted time period (step S3). The power amount predicting unit 101B calculates a weighting factor for both the amount of power used in the predicted time zone one day before the predicted target day and the amount of power used in the predicted time zone 7 days ago. More important than the weighting coefficient for, the weighting factor corresponding to the amount of power used in the predicted time zone 1 day to 7 days ago is multiplied, and the predicted value of the power amount is calculated by adding each multiplied value.

On the other hand, the calorie predicting unit 101C calculates a weighting coefficient for both the calories used in the forecast target time zone one day before the predicted target day and the calories used in the predicted target time zone seven days ago in the predicted target time zone on the other day. More important than the weighting coefficient for the amount of power used, a weighting factor corresponding to the amount of heat used in the predicted time zone from 1 day to 7 days is multiplied, and the predicted value of calorie value is calculated by adding each multiplied value.

The heat generation generation control unit 102 of the operation control unit 13 controls the power and heat generated by the heat generation generation device 11 based on the estimated values of the amount of power and the amount of heat calculated by the heat transfer prediction unit 101 (step) S4).

Thereafter, when the predicted value calculation start time comes, the operation control unit 13 repeats the operations of steps S1 to S4 again.

FIG. 5 is a flowchart showing an operation of recording the amount of power consumed by the electric device EI into the recording system 40. The ammeter 41 measures the electric current supplied to the electric equipment EI from the electrothermal generator 11 and the commercial power system 50 (step S11). The CPU built in the recording system 40 multiplies the measured current value by a voltage value (for example, 100 V) to calculate power (step S12).

The CPU of the recording system 40 repeats the measurement of the current value and the calculation of the power until the power for the predetermined time (for example, one hour) corresponding to the measurement time period is obtained (step S13). The CPU of the recording system 40 calculates the amount of power in the measurement time zone by integrating the power for a predetermined time (step S14). The CPU of the recording system 40 records the amount of power obtained in step S14 in correspondence with the date information and the measurement time zone information, for example, in a built-in hard disk or the like (step S15).

6 is a flowchart showing an operation of recording the amount of heat used in the hot air HI to the recording system 40. The flow meter 42 measures the flow rate F supplied from the water storage unit 20 to the water heater 30, the thermometer 43 measures the temperature T _in of the constant, and the thermometer 44 measures the water heater 30. ), The temperature T _{out of} the water tapping is measured (step S21). The CPU of the recording system 40 calculates the instantaneous heat amount H from the following equation (3) using the measured flow rate F and the temperatures T _in and T _out (step S22).

H = (T _out -T _in ) × F

The CPU of the recording system 40 measures the flow rate F and the temperature T _in and T _out until the instantaneous heat amount H for a predetermined time (for example, one hour) corresponding to the measurement time period is obtained. And calculation of the instantaneous heat quantity H is repeated (step S23). The CPU of the recording system 40 calculates the heat amount in the measurement time zone by integrating the instantaneous heat amount H for a predetermined time (step S24). The CPU of the recording system 40 records the amount of heat obtained in step S24 in correspondence with the date information and the measurement time zone information, for example, in a built-in hard disk or the like (step S25).

In the cogeneration system 1, the heat transfer predicting unit 101 calculates an estimated value of the amount of electricity and the amount of heat in the time zone to be predicted, based on the amount of power used and the amount of heat used up to 7 days before the date to be predicted. In the prediction, the weighting coefficients for both the amount of power used and the amount of heat used 1 day before and 7 days before the date to be predicted are more important than the weighting coefficients for the amount of power used and the amount of heat used for the other time. One day before the predicted date is the day which is closest to the predicted date in the past seven days. For this reason, the weighting coefficient for the data one day ago is important, and the natural environment such as temperature and weather can be reflected in the predicted value. In addition, 7 days before a forecast target day is the same day as a forecast target day. It is usually thought to live in a patterned cycle every day of the week. For this reason, life styles can be reflected in the forecasts by placing weighting coefficients on the data seven days earlier. In this way, the weighting coefficients are important for the data (power usage and calories) 1 day before the target date and the data (power usage and calories) 7 days ago, so that the forecast reflects both the natural environment and lifestyle. It becomes possible, and it becomes possible to improve prediction precision.

The heat transfer predicting unit 101 calculates an estimated value of the amount of power and the amount of heat required for the prediction target time zone. By calculating the estimated value of the amount of electricity and calories for each target time zone, it is possible to reflect various conditions (for example, the natural environment such as sunshine conditions and temperature conditions, lifestyles such as bathing time, etc.) derived from each time zone in the forecast value. It becomes possible.

In addition, as a method of estimating the amount of electricity and the amount of heat in the electrothermal predicting unit 101, for example, weighting of both the data of one day ago (the amount of power used and the amount of heat used) and the data of the seven days ago (the amount of power used and the amount of heat used) The importance of the coefficients is multiplied, and then the weighted coefficients corresponding to the respective amounts of power used and calories used are multiplied for each of the amount of power used and the amount of heat used on each day 1 to 7 days before the predicted date. You can think of how to add each value. In this case, it is preferable because the amount of power and the amount of heat can be easily predicted.

As mentioned above, although preferred embodiment of this invention was described, this invention is not limited to the said embodiment, A various deformation | transformation is possible. For example, the electrothermal predicting unit 101 is based on the amount of power used and the amount of heat used 1 day and 7 days before, based on the amount of power used and the amount of heat used in the predicted time zone from 1 day to 7 days before the predicted date. It is good to calculate the estimated values of the amount of electricity and the amount of heat after weighting the weighting coefficient for each, and as illustrated in the above embodiment, for each of the amount of used power and the amount of used heat on each day from 1 day before the predicted day to 7 days before It is not necessary to multiply the weighting coefficients corresponding to the respective amounts of used power and the amount of heat used, and add the respective multiplied values.

The weighting coefficient applied to the amount of power used 1 day and 7 days ago when calculating the predicted amount of power may be different from the weighting coefficient applied to the amount of heat used 1 day and 7 days ago when calculating the predicted value of heat. Thus, for example, in the calculation of the predicted value of the amount of electricity, the weighting coefficient for each of the used power amounts one day before and the seventh day before the predicted date is set to four times the weighting coefficient for the used power amount on another day, In the calculation, the weighting coefficient for each of the used calories for one day and for 7 days before the predicted date may be 6 times the weighting coefficient for the calories for use on another day.

The weighting coefficients for the amount of power used and the amount of heat used 1 day before the target to be predicted, and the amount of power used and the amount of heat used 7 days before the predicted date may be different. For example, if the target date is Monday, one day before is Sunday, and if the target date is Saturday, one day is Friday. Thus, when the day to be predicted is a weekday or a holiday, when the day before 1st is a holiday or weekday, the amount of used power (or the amount of used heat) 7 days before the weighting factor for the amount of used power (or the amount of used heat) before the day is The weighting factor for) may be important.

Claims (4)

An electrothermal generator that generates power and heat; Electrothermal prediction means for calculating an estimated value of the amount of electricity and the amount of heat in the predetermined time period on the date of the prediction target, based on the amount of power used and the amount of heat used in the predetermined time period previously accumulated; An electrothermal control means for controlling power and heat generated from the electrothermal generator, based on the predicted value calculated by the electrothermal predicting means, The electrothermal predicting means includes a weighting coefficient for the amount of power used and the amount of heat used 1 day and 7 days before, among the amount of used power and the amount of used heat, from 1 day to 7 days before the predicted date. The cogeneration system is characterized by calculating the predicted value more important than the weighting coefficient for the amount of power used and the amount of heat used. The electric heat prediction means according to claim 1, wherein the electric heat predicting means is used for each of the electric power used and the electric power used for each of the electric power used and the electric heat used on each day 1 to 7 days before the predicted target day. And the predicted value is calculated by multiplying a corresponding weighting factor and adding each multiplied value. The method according to claim 1 or 2, wherein the date of the prediction target is a weekday and the day before the forecast target day is a holiday, or the day of the prediction is the holiday and a day before the forecast target day is a weekday. Is a weight factor for the amount of power used 7 days ago rather than a weight factor for the amount of power used 1 day before the predicted date, the cogeneration system. The method according to claim 1 or 2, wherein the date of the prediction target is a weekday and the day before the forecast target day is a holiday, or the day of the prediction is the holiday and a day before the forecast target day is a weekday. In the case of, the cogeneration system is characterized by placing more importance on the weighting coefficient for the calorie used 7 days ago than the weighting coefficient for the calorie used 1 day before the predicted target day.

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