JP5132418B2 - ESCO project implementation support device, ESCO project implementation support method, and ESCO project implementation support program - Google Patents

Description

  The present invention relates to an ESCO business implementation support apparatus, an ESCO implementation support method, and an ESCO implementation support program that support the implementation of an ESCO (Energy Service Company) project.

  In recent years, the introduction of the ESCO business has been widely adopted as one of the solutions as global efforts against global warming accelerate. The introduction of the ESCO business is also a requirement for the adoption of national treasury subsidies as an effective measure since a certain guarantee is secured by the ESCO business.

  FIG. 9 is an explanatory diagram showing an outline of a conventional ESCO business. In Fig. 9, out of the customer's energy consumption (light and water costs) reduced by the introduction of the ESCO business, the amount excluding the repayment is the customer's profit (reduction gain) and the ESCO business's expense (ESCO business's profit) ) In the ESCO business, the ESCO business guarantees a certain planned value that is estimated to be reduced by the introduction of the ESCO business. If the actually reduced energy consumption is greater than or equal to the planned value, the difference between the reduced energy consumption and the planned value will be the benefit of the customer, but if the actually reduced energy consumption is less than the planned value, the customer Profit will decrease.

  Since the energy consumption varies depending on the weather, the energy consumption required for actual operation may be larger than the estimated energy consumption based on the estimation before the introduction of the ESCO business. In this way, the introduction of the ESCO business includes the risk of fluctuations in the weather, and it is also true that customers are often unable to adopt it due to reasons such as difficulty in making a trial calculation. There is a current situation where no respondents are recruited.

  Conventionally, by showing the number of weather derivatives that can be traded on the server based on the customer's past utility bill information for each customer, a loss equivalent to the increase in utility bills can be achieved through a simple weather derivative transaction procedure. There is a technique that can realize compensation (see, for example, Patent Document 1 below).

JP 2006-134116 A

  However, in the technique of Patent Document 1 described above, the energy targeted by weather derivative transactions is limited to resources that are subject to payment of utility charges such as grid commercial power. When the ESCO business is introduced through power generation, the weather derivative product cannot be applied, and the weather derivative product cannot be used effectively.

  In general, the energy consumption greatly fluctuates depending on the weather in the air conditioning equipment. However, in the technique of Patent Document 1 described above, if the air conditioning equipment is other than the electric type, the electricity fee increases due to the weather derivative transaction. There was a problem that the amount could not be compensated and weather derivative products could not be used effectively.

  In other words, in the past, even when the ESCO business was introduced, the customer's profits were greatly affected by the weather, and it was difficult to expect a stable revenue because there was a high possibility that the customer would be burdened by the loss of the weather. There was a problem that customers were hesitant to introduce the ESCO business and could not promote the introduction of the ESCO business.

  As a countermeasure, even if the ESCO operator pays the share of the customer's share, the compensation risk for the ESCO operator only increases, and there is a possibility that the ESCO operator will suffer a loss due to weather fluctuations. However, it is difficult to expect high and stable earnings, so the introduction of ESCO business cannot be promoted.

  In order to eliminate the above-mentioned problems caused by the conventional technology, the present invention reduces the risk of the customer due to the weather fluctuation risk or the guarantee risk of the ESCO business operator, and stabilizes the profitability of the customer. An object of the present invention is to provide an ESCO project implementation support apparatus, an ESCO project implementation support method, and an ESCO project implementation support program capable of promoting introduction.

  In order to solve the above-described problems and achieve the object, the ESCO business implementation support apparatus according to the present invention includes information on energy standard consumption before introduction for each customer who introduced the ESCO business, and energy after introduction of the customer. Information on the predicted consumption, information on the energy reduction amount obtained by subtracting the energy expected consumption from the energy reference consumption, the energy saving method introduced by the customer, and information on the energy reduction amount for each energy saving method An energy reduction amount information database to be stored; and a relevance information database for storing information relating to the relationship between the amount of change in weather and the amount of change in energy reduction amount of each of the energy saving methods; Measured consumption acquisition means for acquiring the total of measured energy consumption of customers , Extraction means for extracting information on the expected energy consumption of the customer and information on the energy reduction amount from the energy reduction amount information database, energy actual consumption consumption acquired by the actual consumption consumption acquisition means, and the extraction A first calculation means for calculating a difference from the estimated energy consumption acquired from the means, a weather information acquisition means for acquiring weather information, and the weather information acquired by the weather information acquisition means among the energy saving methods Based on the information stored in the relevance information database, whether or not a related energy saving method related in the weather related to information is included, and as a result of the determination by the determination unit, the related energy saving method is If included, the weather information for each relevant energy conservation method Second calculation means for calculating the total amount of variation under the weather based on information stored in the relevance information database, and the difference calculated by the first calculation means is the second calculation means. When the difference is less than the total amount of fluctuation calculated by the above, the difference is output as an energy consumption subject to the weather derivative, and when the difference is larger than the total amount of fluctuation, And an output means for outputting the total as energy consumption subject to the weather derivative.

  According to the present invention, the lesser of the difference between the actual measured energy consumption and the expected energy consumption and the total amount of fluctuation of the energy reduction amount for each related energy saving method related to the fluctuation amount of the weather is the weather derivative. By outputting it as the target energy consumption, it is possible to accurately extract only the weather fluctuation risk, and it is possible to compensate only the fluctuation due to the weather with the derivative product.

  In addition, the ESCO business implementation support apparatus according to the present invention includes information on an energy standard consumption amount before introduction for each customer who introduced the ESCO business, information on an expected energy consumption amount after introduction of the customer, and the energy standard consumption An energy reduction amount information database for storing information on an energy reduction amount obtained by subtracting the estimated energy consumption amount from an amount of money, an energy saving method introduced by the customer, and information on an energy reduction amount for each of the energy saving methods, A relevance information database for storing information on the relevance between the fluctuation amount and the fluctuation amount of the energy saving amount of each of the energy saving methods, or connected to be communicable, and obtain the total of the actual measured energy consumption amount of the customer The actual consumption consumption acquisition means and the energy Extraction means for extracting information on the customer's expected energy consumption amount and information on the energy reduction amount from the reduction amount information database, energy actual consumption amount acquired by the actual consumption amount acquisition unit, and acquisition from the extraction unit A first calculation unit that calculates a difference from the estimated energy consumption amount, a weather information acquisition unit that acquires weather information, and the weather information acquired by the weather information acquisition unit among the energy saving methods A determination means for determining whether or not a related energy saving technique related in the weather is included based on information stored in the relevance information database, and a result of the determination by the determination means includes a related energy saving technique. The weather information for each relevant energy conservation method. Second calculation means for calculating the total amount of variation under the weather based on the information stored in the relevance information database, and the difference calculated by the first calculation means is the second calculation means. If the difference is less than the total amount of fluctuation calculated by the above, the difference is output as an amount subject to weather derivative, and if the difference is larger than the total amount of fluctuation, the total amount of fluctuation is calculated. Output means for outputting as an amount to be subject to the weather derivative.

  According to the present invention, the smaller of the difference between the actual measured energy consumption amount and the expected energy consumption amount and the total amount of variation in the amount of energy reduction for each related energy-saving technique related to the amount of weather variation is reduced by the weather derivative. By outputting as the target energy consumption amount, it is possible to accurately extract only the weather fluctuation risk, and it is possible to compensate only the fluctuation due to the weather with the derivative product.

  The ESCO business implementation support method according to the present invention includes information on energy standard consumption before introduction for each customer who introduced the ESCO business, information on expected energy consumption after introduction of the customer, and energy standard consumption. An energy reduction amount information database for storing information on energy reduction amount obtained by subtracting the estimated energy consumption amount from energy amount, energy saving method introduced by the customer, and information on energy reduction amount for each energy saving method; A relevance information database for storing information on the relevance between the fluctuation amount and the fluctuation amount of the energy reduction amount of each of the energy saving methods, or a communicably connected connection, an actually measured consumption acquisition means, an extraction means, 1 calculation means, weather information acquisition means, determination means, and second calculation means An ESCO business implementation support method executed by an ESCO business implementation support device comprising: an actual consumption acquisition step in which the actual consumption acquisition means acquires a total of the actual energy consumption of the customer; An extraction step in which the extraction means extracts information on the expected energy consumption of the customer and information on the energy reduction amount from the energy reduction amount information database; and the first calculation means obtains the actually measured consumption amount. A first calculation step of calculating a difference between the actual measured energy consumption acquired by the step and the estimated energy consumption acquired from the extraction step; and weather information acquisition by which the weather information acquisition means acquires the weather information And the weather information acquired by the weather information acquisition step in each of the energy saving methods. A determination step for determining whether or not a related energy-saving technique is included in the weather according to the information stored in the relevance information database; and the second calculation means determines whether or not the determination step includes As a result, when the related energy saving method is included, the total amount of change in the weather related to the weather information for each related energy saving method is calculated based on the information stored in the relevance information database. And when the difference calculated by the first calculating step is smaller than the total amount of fluctuation calculated by the second calculating step, the difference is calculated as a subject of the weather derivative. When the difference is larger than the total amount of variation, the total amount of variation is And an output process for outputting as an energy consumption subject to the weather derivative.

  According to the present invention, the lesser of the difference between the actual measured energy consumption and the expected energy consumption and the total amount of fluctuation of the energy reduction amount for each related energy saving method related to the fluctuation amount of the weather is the weather derivative. By outputting it as the target energy consumption, it is possible to accurately extract only the weather fluctuation risk, and it is possible to compensate only the fluctuation due to the weather with the derivative product.

  Further, the ESCO business implementation support method according to the present invention includes information on energy standard consumption before introduction for each customer who introduced the ESCO business, information on expected energy consumption after introduction of the customer, and energy standard consumption. An energy reduction amount information database for storing information on an energy reduction amount obtained by subtracting the estimated energy consumption amount from an amount of money, an energy saving method introduced by the customer, and information on an energy reduction amount for each of the energy saving methods, A relevance information database that stores information relating to the relevance between the amount of change and the amount of change in the energy saving amount of each of the energy saving methods, or a communicably connected connection, an actually measured consumption amount acquisition means, an extraction means, 1 calculation means, weather information acquisition means, determination means, An ESCO business implementation support method executed by an ESCO business implementation support device comprising a second calculation means and an output means, wherein the actual measured consumption amount acquisition means acquires the total of the actual measured energy consumption amount of the customer An actual consumption consumption amount obtaining step, an extraction step in which the extraction means extracts information on the customer's expected energy consumption amount and information on the energy reduction amount from the energy reduction amount information database, and the first calculation means. A first calculation step of calculating a difference between the actual measured consumption amount acquired by the actual measured consumption amount acquisition step and the expected energy consumption amount acquired from the extraction unit; and the weather information acquisition unit includes: A weather information acquisition step of acquiring information, and the determination means includes the weather among the energy saving methods. A determination step of determining whether or not a related energy-saving technique related to the weather information acquired by the report acquisition step is included based on information stored in the relationship information database; When the calculation means includes a related energy saving method as a result of the determination in the determination step, a total amount of variation in the weather related to the weather information for each related energy saving method is stored in the relationship information database. A difference between the second calculation step calculated based on the obtained information and the difference calculated by the output means by the first calculation step is less than the total amount of variation calculated by the second calculation step. Outputs the difference as an amount subject to weather derivatives and if the difference is greater than the total amount of change And an output step of outputting the total amount of fluctuation as an amount to be subject to the weather derivative.

  According to the present invention, the smaller of the difference between the actual measured energy consumption amount and the expected energy consumption amount and the total amount of variation in the amount of energy reduction for each related energy-saving technique related to the amount of weather variation is reduced by the weather derivative. By outputting as the target energy consumption amount, it is possible to accurately extract only the weather fluctuation risk, and it is possible to compensate only the fluctuation due to the weather with the derivative product.

  An ESCO business implementation support program according to the present invention causes a computer to execute the above ESCO business implementation support method. According to the present invention, only the weather fluctuation risk can be accurately extracted, and only the fluctuation due to the weather can be compensated with the derivative product.

  According to the ESCO business implementation support apparatus, the ESCO business implementation support method, and the ESCO business implementation support program according to the present invention, only the fluctuation due to the weather can be compensated with the derivative product, so that the weather derivative product is also effective in the ESCO business. There is an effect that it can be utilized. As a result, the introduction of the ESCO business can be promoted by reducing the customer risk due to the weather fluctuation risk or the guarantee risk of the ESCO business operator and stabilizing the profitability of the customer.

  Exemplary embodiments of an ESCO business implementation support apparatus, an ESCO business implementation support method, and an ESCO business implementation support program according to the present invention will be described below in detail with reference to the accompanying drawings.

(Outline of weather derivative system)
First, an outline of a weather derivative system (weather derivative ESCO) to which the ESCO business support apparatus according to the embodiment of the present invention can be applied will be described. 1 and 2 are explanatory diagrams showing an outline of a weather derivative system to which the ESCO business support apparatus according to the embodiment of the present invention can be applied.

  Derivatives (also referred to as financial derivatives) are financial derivatives such as futures, options, and swaps derived from financial products such as foreign exchange rates, interest rates, stocks, and bonds. Derivative products that target conditions are also traded. This financial derivative is called a weather derivative (also called a weather derivative) and is used by manufacturers with facilities that are susceptible to the weather (weather) to avoid the risk of a decline in sales.

  Specifically, for example, in a manufacturing industry that uses equipment that requires cooling, when the temperature is high, the amount of energy consumed for cooling the equipment increases accordingly. Specifically, for example, in restaurants, the energy consumption for heating increases when the temperature is low. The weather derivative system of this embodiment can be used to avoid the risk of a decrease in customer profits due to fluctuations in energy consumption (including sales, revenue, etc.) due to fluctuations in the weather (weather).

  1 and 2, the weather derivative system to which the ESCO business support device according to the embodiment of the present invention can be applied guarantees the energy saving amount and the cost reduction amount associated therewith under the same conditions as the baseline of the utility cost. . In other words, the weather derivative system reduces energy consumption (energy saving) and saves energy under the same conditions (substantially the same conditions) when the utility costs are recorded as the baseline for customers who introduce ESCO business. As a result, a cost reduction corresponding to the amount of energy consumption corresponding to the energy consumption that can be reduced is guaranteed.

  The baseline of the customer's utility bill is, for example, the average value of energy consumption for the past 1-3 years of the customer. The ESCO provider charges the customer an amount corresponding to a predetermined ratio of the amount of consumption corresponding to the amount of energy consumption that can be reduced by energy saving, as an expense for introducing the ESCO business (ESCO service fee).

  The customer can enjoy the amount obtained by subtracting the ESCO service fee from the amount of consumption corresponding to the amount of energy consumption that can be reduced by energy saving (light and water costs). The utility costs vary depending on the revision of the basic fee, etc., but if there are no changes in the matters determined by human agreements such as the basic fee, they will vary depending on the fluctuation of energy consumption. Energy consumption varies depending on external factors such as weather. In other words, the reduction benefits that customers can enjoy vary due to fluctuations in external factors such as the weather.

  The weather derivative system to which the ESCO business support apparatus according to the embodiment of the present invention can be applied outsources fluctuations in the customer's savings (weather fluctuation risk) due to fluctuations in energy consumption accompanying fluctuations in the weather. As a result, it is possible to secure a reduction in profits for customers and improve the safety of ESCO operators.

  The weather derivative system to which the ESCO business support apparatus according to the embodiment of the present invention can be applied is, for example, a risk due to weather fluctuations (weather changes) due to the conclusion of a weather derivative contract between an ESCO operator and a weather derivative product management company. Compensation and settlement can be realized.

  As a result, the customer can compensate and settle the risk due to weather fluctuations (weather change) by simply signing an ESCO contract with the ESCO operator, and the customer's burden can be reduced. Only the fee paid to the company, the gas company or the water and sewage bureau, respectively. This makes it easier for the customer to consider the introduction of the ESCO business because it can anticipate the stabilization of profitability for the introduction of the ESCO business.

(Configuration of ESCO business support system)
Next, the configuration of the weather derivative system including the ESCO business implementation support apparatus according to the embodiment of the present invention will be described. FIG. 3 is an explanatory diagram showing a system configuration of an ESCO business support system including the ESCO business implementation support device according to the present embodiment of the present invention.

  In FIG. 3, the ESCO business support system 300 includes an ESCO business support device 301, a customer terminal device 302, a weather information DB 303, energy reference consumption / energy expected consumption / energy reduction amount / energy reference consumption amount / energy prediction. A consumption amount / energy reduction amount information DB (FIG. 1 and hereinafter referred to as “energy information DB”) 304 and a relevance information DB 305 are connected by a network 310 such as the Internet or a LAN. Further, the weather derivative system 306 is also connected by a network.

  The weather information DB 303 stores various types of information related to the weather (weather information) for each predetermined period and each region. The weather information DB 303 stores weather information for each date, for example, as a predetermined period. The weather information DB 303 is generally a DB of the Japan Meteorological Agency and may be in the ESCO business support apparatus 301.

  Weather information includes past (average) pressure, temperature, average vapor pressure, (relative) humidity, (average) cloud cover, sunshine duration, total solar radiation, Information on precipitation, deepest snow, snow depth, wind speed, and wind direction, and observation data published by the Japan Meteorological Agency can be used. Further, the weather information may be data independently observed by an administrator of the ESCO business support apparatus 301 or an observation company different from the Japan Meteorological Agency.

  “Cloud amount” is information indicating how much of the whole sky is covered with clouds, and is represented by a numerical value of 0 to 10. The cloud amount “0” indicates a state where there is no cloud in the whole sky, and the cloud amount “10” indicates a state where the whole sky is entirely covered with clouds. When there is no precipitation, depending on the value of the cloud cover, the cloud cover is clear when the cloud cover is 0 to 1, the cloud cover 2 to 8 is clear, and the cloud cover 9 to 10 is cloudy.

  “Total solar radiation” is information indicating the total amount of solar radiation incident on the horizontal surface of the unit area, and direct solar radiation (irradiance excluding scattered light and reflected light from solar radiation incident on the horizontal surface of the unit area) , Scattered solar radiation from all directions of the sky (the amount of energy of light scattered by air molecules, water vapor, aerosol, etc. in the atmosphere, excluding direct solar radiation of solar radiation incident on a horizontal surface of unit area) and from the clouds Represents the amount of solar radiation combined with reflected solar radiation.

The amount of solar radiation indicates the amount of solar energy per unit area incident on a horizontal plane near the ground. The amount of solar radiation is often not an instantaneous value at a certain time but an integrated amount over a certain period of time because it is subject to significant fluctuations due to the influence of water vapor, dust and clouds in the atmosphere. The unit of accumulated amount is expressed in megajoules per square meter (MJ / m ² ). In addition to the above information, the weather information DB 303 may store information regarding “water temperature of the water source”, “water temperature of seawater”, and the like.

  The customer terminal device 302 stores measured values of the amount of power, the amount of gas, and the amount of water and sewage consumed during a predetermined period such as one month. The predetermined period is not limited to one month. For example, the predetermined period may be indicated by year, day, or time unit (every 1 to n hours, weekly, or monthly). The customer's actual measured energy consumption can be measured and acquired using various known techniques, and the description of the method for measuring the customer's actual measured energy consumption is omitted.

  The customer terminal device 302 uses the amount of electricity and electricity consumed at the facility where the ESCO business is introduced, the amount of gas and the gas fee consumed at the facility where the ESCO business is introduced, the amount of water and the water fee consumed at the facility where the ESCO business is introduced. May be stored for each predetermined period. Each of these charges can be acquired from a database of, for example, an electric power company, a gas company, or a water company. The customer terminal device 302 can be realized by a personal computer, for example.

  The ESCO business support apparatus 301 calculates the energy consumption due to the change in weather among the energy consumptions related to the introduction of the ESCO business, and outputs information on the calculated energy consumption due to the change in weather. Further, the ESCO business support device 301 calculates a consumption amount corresponding to the energy consumption amount due to the change in weather among the consumption amounts corresponding to the energy consumption amount related to the introduction of the ESCO business, and the energy consumption due to the calculated weather change. Information regarding the amount of consumption corresponding to the amount may be output.

  The ESCO business support apparatus 301 outputs information on the energy consumption due to the calculated weather fluctuation and the consumption amount corresponding to the energy consumption to the customer terminal apparatus 302 and the weather derivative system 306. Calculation and transmission of energy consumption due to weather fluctuations and consumption amounts corresponding to the energy consumption are performed every predetermined period such as every month.

  The ESCO business support device 301 may serve as a Web server. In this case, when a predetermined browsing request is received from the customer terminal device 302 or the weather derivative system 306, Information related to the amount of money consumed corresponding to the amount of energy consumption may be transmitted.

  The customer terminal device 302 and the weather derivative system 306 can create an ESCO business plan for each customer based on the information related to the energy consumption due to weather fluctuations output from the ESCO business support device 301. When the weather derivative system 306 creates an ESCO business plan or the like, the created ESCO business plan or the like may be transmitted to the customer terminal device 302. In this case, the weather derivative system 306 may serve as a Web server. In this case, when a predetermined browsing operation is performed on the customer terminal device 302, the ESCO business plan for each customer is transmitted. Also good.

  When the ESCO business support apparatus 301 and the weather derivative system 306 serve as a Web server, the customer terminal apparatus 302 that acquires information from the ESCO business support apparatus 301 and the weather derivative system 306 has a Web browser installed. To do. As a result, information can be transmitted from the ESCO business support apparatus 301 and the weather derivative system 306 via the Web browser.

(Hardware configuration of ESCO business support device)
Next, the hardware configuration of the ESCO business support apparatus 301 according to this embodiment of the present invention will be described. FIG. 4 is an explanatory diagram (block diagram) showing the hardware configuration of the ESCO business support apparatus 301 according to this embodiment of the present invention. In FIG. 4, an ESCO business support apparatus 301 includes a CPU 401, a ROM 402, a RAM 403, an HDD (hard disk drive) 404, an HD (hard disk) 405, an FDD (flexible disk drive) 406, and a removable recording medium. An example includes an FD (flexible disk) 407, a network I / F (interface) 408, a display 409, a KB 410, a mouse 411, a scanner 412, and a printer 413. Each component is connected by a bus 414.

  The CPU 401 controls the entire ESCO business support apparatus 301. The ROM 402 stores programs such as a boot program. The RAM 403 is used as a work area for the CPU 401. The HDD 404 controls reading / writing of data with respect to the HD 405 according to the control of the CPU 401. The HD 405 stores data written under the control of the HDD 404.

  The FDD 406 controls reading / writing of data with respect to the FD 407 according to the control of the CPU 401. The FD 407 stores data written under the control of the FDD 406. As a detachable recording medium, a CD-ROM (CD-RW), MO, DVD (Digital Versatile Disk), or the like may be used instead of or in addition to the FD 407.

  The network I / F 408 is connected to the network 310 via a communication line, and is connected to an external device such as the customer terminal device 302 via the network 305. The network I / F 408 controls an interface between the network 310 and the inside, and controls input / output of data from the ESCO business support apparatus 301.

  The display 409 displays a window (browser) relating to data such as a document, an image, and function information as well as a cursor, an icon, a tool box, and can be realized by a CRT, a TFT liquid crystal display, a plasma display, or the like. The KB 410 includes keys for inputting characters, numerical values, various instructions, etc., and performs data input. The mouse 411 performs cursor movement, range selection, window movement, size change, and the like. As long as it has the same function as a pointing device, a trackball, a joystick, etc. may be used instead of or in addition to the mouse.

  The scanner 412 optically reads an image. The printer 413 prints image data and document data, and can be realized by a laser printer, an inkjet printer, or the like. The display 409, the KB 410, the mouse 411, the scanner 412, and the printer 413 can be easily realized by using a known technique, and illustration thereof is omitted.

(Energy information DB)
Next, the energy information DB 304 will be described. FIG. 5 is an explanatory diagram showing an example of the data structure of the energy information DB 304. In FIG. 5, the energy information DB 304 includes information on energy standard consumption before introduction of the ESCO business for each customer who introduced the ESCO business, information on expected energy consumption after introduction of the customer's ESCO business, and energy standard consumption. The information regarding the energy reduction amount obtained by subtracting the estimated energy consumption from the information, the energy saving method introduced by the customer, and the information regarding the energy reduction amount for each energy saving method are stored. In the energy information DB 304, each piece of information 510 to 530 is stored for each customer.

  The energy standard consumption before the introduction of the ESCO business can be investigated by a preliminary diagnosis or a detailed energy diagnosis performed prior to the introduction of the ESCO business. If the target of introduction of the ESCO business is a building, the energy standard consumption is the outline of the building, the operating status of the building or facility, the annual energy usage status, the daily energy usage, various data related to energy, equipment / equipment drawings, equipment Can be calculated based on the operation data, current energy management methods and methods.

  Specifically, the outline of the building is expressed by information such as completion date, repair date, number of floors, total floor area, and the like. Specifically, the operational status of the building or facility is represented by information such as the number of business days per year, business hours, air conditioning periods, and air conditioning periods. Specifically, the annual energy usage status is expressed by information such as monthly energy usage and cost for three years. The annual energy use status is represented by individual information for each type of energy (resource) such as electricity, gas, and water.

  More specifically, the daily energy consumption is represented by, for example, 24-hour data on a representative day in the summer, winter, and intermediate seasons. The energy usage amount is not limited to a year or a day as long as the energy usage amount at a predetermined time interval can be indicated. Specifically, for example, the energy usage amount may be indicated in units of hours (every 1 to n hours, or in units of weeks or months).

  Specifically, the energy data is represented by, for example, contract power, contract type, received voltage, power unit price, gas type, contract type, gas unit price, and the like. Specifically, the facility / equipment drawing is represented by, for example, a building plan view, a single line connection diagram, a piping system diagram, a duct system diagram, a monitoring system system diagram, equipment specifications of main facilities, and the like. The equipment specifications of main equipment include, for example, equipment / equipment name, capacity, number of units, year of manufacture, and the like.

  In addition, facilities / equipment drawings include the positions and number of power receiving transformers, power distribution transformers, generators, power pumps / fans, elevators, lighting equipment, etc. in main facilities. Specifically, the operation data of the equipment can be acquired from, for example, an equipment operation diary (such as a receiving / transforming diary, a boiler diary, a refrigerator diary). The current energy management method and method can be grasped by hearing from the person in charge of the facility. Since the investigation of the energy standard consumption can be realized by using various known techniques, the explanation of the investigation of the energy standard consumption is omitted.

  Estimated energy consumption after customer's introduction to ESCO business can be estimated based on the energy standard consumption surveyed by preliminary diagnosis and detailed energy diagnosis, and the expected effect of energy-saving method to be introduced as a result of the survey. . Since the estimation of the estimated energy consumption can be realized using various known technologies, the description of the estimation of the estimated energy consumption is omitted.

  The energy reduction amount is calculated by subtracting the expected energy consumption from the energy reference consumption. The calculation of the energy reduction amount is performed, for example, in a state where the unit is matched to the primary energy consumption amount. The energy saving method introduced by the customer varies depending on the customer's equipment, situation, budget, and the like. The energy reduction amount for each energy saving method represents the energy consumption that can be reduced when the energy saving method is introduced in the facility for each customer. The energy reduction amount for each energy saving method may be based on an actual measurement value or based on a trial calculation.

  The energy information DB may store information related to the amount of consumption associated with energy consumption. For example, in the facility where the ESCO business has been introduced, information on the amount of money consumed with energy consumption includes an electricity charge corresponding to the amount of power consumed in a predetermined period such as one month, a gas charge corresponding to the amount of gas consumed in a predetermined period, a predetermined amount Information such as water charges corresponding to the amount of water consumed during the period can be used. In this case, a function as an energy reduction amount database can be realized by the energy information DB.

(Relevance information DB 305)
Next, the relevance information DB 305 will be described. FIGS. 6A and 6B are explanatory diagrams illustrating an example of the data structure of the relevance information DB 305. 6A and 6B, the relevance information DB 305 stores information on the relevance between the amount of change in weather and the amount of change in energy reduction amount of each energy saving method. The relevance information DB 305 may store, for each customer, information related to the relevance between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount of each energy saving method.

  In addition, the relevance information DB 305 stores weather information serving as a reference when determining the ESCO business baseline (the energy reference consumption and the expected energy consumption after the introduction of the ESCO business). The relevance information DB 305 stores, for each customer, weather information serving as a reference when determining an ESCO business baseline (energy standard consumption and expected energy consumption after introduction of the ESCO business). The amount of weather fluctuation can be ascertained using the ESCO business baseline.

  In Fig. 6-1, when the weather changes by the amount of change allocated to each condition, whether or not the change in the weather is related to the amount of change in the energy reduction amount is indicated by ○ and ×. Data structure examples 611 and 612 are shown. For example, when the temperature drops by 10 degrees in the energy saving technique I introduced by the customer A, there is a relationship between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount of the energy saving technique I, and a circle is indicated. Even with the same energy saving method I, if the temperature drop was 3 degrees, the weather fluctuation amount and the energy saving amount fluctuation amount of the energy saving method I are not related and an x is indicated. ing.

  In FIG. 6-2, when the weather fluctuates by the amount of fluctuation allocated to each condition, a data structure showing by percentage whether or not the fluctuation of the weather is related to the fluctuation amount of the energy reduction amount. Examples 621 and 622 are shown. In FIG. 6-2, the relationship (influence rate) between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount is shown by rounding off the last digit and dividing it in units of 10%.

  For example, when the temperature drops by 10 degrees in the energy saving method I introduced by the customer A, it is shown that there is a 100% relationship between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount of the energy saving method I. ing. Even with the same energy saving method I, if the temperature drop is 3 degrees, it is shown that there is no relationship between the amount of change in weather and the amount of energy reduction in energy saving method I Yes.

  Even when the ESCO business is introduced by the same energy saving method, the amount of energy consumption reduction varies depending on the facility. For example, even when the energy saving method I introduced by the customer A and the energy saving method III introduced by the customer B are both the same energy saving method called “introduction of cogeneration”, the amount of reduction in energy consumption differs depending on the facility, that is, the customer. .

  As shown in Fig. 6-1 and Fig. 6-2, by storing information on the relationship between the amount of change in weather and the amount of change in energy saving amount of each energy saving method for each customer, the introduction of the ESCO business It becomes possible to estimate the fluctuation amount of energy consumption in a state closer to reality.

  Next, the relationship (influence rate) between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount will be described. In Fig. 6-2, the relationship (influence rate) between the fluctuation amount of the weather and the fluctuation amount of the energy reduction amount is shown by the fluctuation range obtained by rounding off the last digit and dividing it in units of 10%. An example of the calculation method of the previous influence rate (%) will be described. 6-3 and 6-4 are explanatory diagrams illustrating an example of a data structure used for calculating the influence rate (%). In FIGS. 6-3 and 6-4, the influence accompanying the temperature fluctuation will be described.

  In FIG. 6-3, the power consumption (kW) at the time of performing "introduction of a highly efficient air-cooled heat pump chiller" as one of the energy saving methods is shown for each outside air temperature. Specifically, FIG. 6-3 shows power consumption (kW) when an air-cooled heat pump chiller with a rated cooling capacity of 1,055 kW is used as the high-efficiency air-cooled heat pump chiller.

  Moreover, in FIG. 6-3, the power consumption (kW) at the time of performing "introduction of a highly efficient air-cooling heat pump chiller" as one of the energy saving methods is shown for every cooling load factor. The cooling load factor is an index indicating what percentage of the rated cooling capacity the cooling load in a certain period. The lower the cooling load factor, the smaller the load applied to the compressor of the air-cooled heat pump chiller, resulting in power consumption ( kW) is reduced. On the contrary, the higher the cooling load factor, the larger the load applied to the compressor of the air-cooled heat pump chiller, and the higher the power consumption (kW).

  The cooling load factor greatly depends on the outside air temperature. For example, when the outside air temperature rises, the amount of heat applied to the room by transferring heat to the walls of the building increases, so the cooling load in the room increases. On the other hand, when the outside air temperature decreases, heat is transferred through the walls of the building and the amount of heat in the room is released to the outside air, so the cooling load in the room is reduced.

  For example, in a facility where a highly efficient air-cooled heat pump chiller is introduced as one of the energy saving methods, the cooling load factor in the air-conditioning zone covered by the highly efficient air-cooled heat pump chiller is 60% of the rated cooling capacity, and the outside air temperature is 30 degrees. It is assumed that the power consumption is 234 kW calculated as a baseline (see reference numeral 631 in FIG. 6-3).

In Fig. 6-3, when the outside air temperature rises by 5 degrees from the baseline state, the amount of heat applied to the room by transferring heat to the building wall increases as described above, so the cooling load factor increases to 80%. As a result, since the load applied to the compressor of the air-cooled heat pump chiller increases as described above, the power consumption is 352 kW (see reference numeral 632 in FIG. 6-3). In this case, when the outside air temperature rises by 5 degrees from the baseline state, the relevance (influence rate) associated with the temperature fluctuation can be calculated by the following formula.
Influence rate due to temperature fluctuation = (100% -234 ÷ 352) = 33.33 (%)

  In Fig. 6-4, as one of the energy-saving methods, the power consumption (kW) when performing "inverter control of air-conditioning cold water transfer pump" using an inverter pump for air-conditioning cold water transfer is shown for each cooling load factor. It shows. When introducing a high-efficiency air-cooled heat pump chiller, it is necessary to generate and transport air-conditioned cold water, and FIG. 6-4 shows the power consumption (kW) when an inverter pump is used to transport air-conditioned cold water. Moreover, in FIG. 6-4, the power consumption (kW) at the time of using an inverter pump for conveyance of air-conditioning cold water is shown for every ratio (%) of the pump power consumption according to inverter load factor.

  The cooling load can be expressed by a numerical value obtained by multiplying the return temperature difference of the air-conditioning cold water by the cold water flow rate. Since the air-conditioning cold water is controlled so that the return temperature difference is constant, an increase in the cooling load results in an increase in the cold water flow rate. Conversely, a decrease in cooling load results in a decrease in chilled water flow rate. In this way, the increase or decrease in the cooling load is directly related to the conveyance power of the air-conditioning cold water (power consumption of the pump).

  For example, in the above facility, when the inverter control of the air-conditioning chilled water transfer pump is performed, when the high-efficiency air-cooled heat pump chiller is operating at 60% of the rated cooling capacity, the load factor (= power consumption) of the inverter pump Assume that the percentage is 60% and the power consumption of the inverter pump at that time is 6.66 kW, which is calculated as a baseline (see reference numeral 641 in FIG. 6-4).

In Fig. 6-4, when the outside air temperature rises 5 degrees from the baseline state, the amount of heat applied to the room by transferring heat to the building walls increases as described above, so the cooling load factor rises to 80%. As a result, since the amount of the air-conditioning cold water increases as described above, the power consumption of the inverter pump becomes 11.84 kW (see reference numeral 642 in FIG. 6-4). In this case, when the outside air temperature rises by 5 degrees from the baseline state, the relevance (influence rate) associated with the temperature fluctuation can be calculated by the following formula.
Impact rate associated with temperature fluctuation = (100%-6.66 ÷ 11.84) = 43.75 (%)

  The relevance information DB 305 stores information on the relevance between the amount of change in weather and the amount of change in consumption corresponding to the amount of energy reduction in each energy saving method, instead of or in addition to the amount of energy reduction in each energy saving method. May be. In this case, the energy information DB can function as an energy reduction amount database. The amount of consumption can be an electricity charge, a gas charge, or a water charge at a facility where the ESCO business is introduced. Each of these charges may be acquired from the customer terminal device 302 or may be acquired from a database such as an electric power company, a gas company, or a water company.

  The amount of consumption may include past sales and profits of the customer in addition to utility costs such as electricity charges, gas charges, and water charges. Thereby, in addition to increase / decrease in expenses such as utility costs, it is possible to grasp increase / decrease in sales and profit. Thus, specifically, for example, even if the utility costs are flat or slightly increased, it can be determined whether the sales and profits are increasing or significantly increasing. It can be determined whether or not the consumption amount is relatively reduced.

(Functional configuration of ESCO business support device)
Next, a functional configuration of the ESCO business support apparatus 301 according to this embodiment of the present invention will be described. FIG. 7 is an explanatory diagram (block diagram) showing a functional configuration of the ESCO business support apparatus 301 according to this embodiment of the present invention. In FIG. 7, the ESCO business support apparatus 301 includes an energy information DB 304, a relevance information DB 305, an actual consumption / actual consumption amount acquisition unit 701, an extraction unit 702, a first calculation unit 703, and weather information acquisition. Unit 704, determination unit 705, second calculation unit 706, and output unit 707.

  The measured consumption / measured consumption amount acquisition unit 701 acquires the total measured energy consumption of the customer from the customer terminal device 302 via the network 310, for example. The measured consumption / measured consumption amount acquisition unit 701 acquires the total measured energy consumption during a predetermined period from the measured energy consumption stored in the customer terminal device 302. The predetermined period interval can be an arbitrary period set by the ESCO operator, and can be, for example, one year, one day, one month, or the like. Specifically, the actual consumption acquisition unit 701 realizes its function by, for example, the network I / F 408.

  In addition, the measured consumption / measured consumption amount acquisition unit 701 may directly acquire the customer's measured energy consumption from a database of an electric power company, a gas company, a water company, or the like. In this case, the total of the actual measured consumption of energy can be acquired by summing up the actual measured energy consumption acquired from the databases of the electric power company, gas company, water company, and the like.

  The measured consumption / measured consumption amount acquisition unit 701 may acquire the total amount of measured energy consumption of the customer from the customer terminal device 302 via the network 310, for example. The customer's actual measured energy consumption is obtained from the database of power companies, gas companies, water companies, etc., and the total amount of the actual measured energy consumption of the customer is obtained by totaling the acquired usage charges. May be.

  In addition, the customer's measured energy consumption and measured consumption amount may be exceptionally input using, for example, the KB 410 or the mouse 411. In this case, specifically, the actual consumption / actual consumption amount acquisition unit 701 can realize the function by, for example, the KB 410 or the mouse 411 shown in FIG.

  The extraction unit 702 extracts information on the customer's expected energy consumption and information on the energy reduction amount from the energy information DB 304 via the network 310. The estimated energy consumption can be estimated based on the energy reference consumption surveyed by the above-described preliminary diagnosis and detailed energy diagnosis, and the expected effect of the energy saving technique to be introduced as a result of the survey.

  Further, the extraction unit 702 may extract information on the customer's expected energy consumption amount and information on the energy reduction amount from the energy information DB 304 via the network 310. For example, when the measured consumption amount is acquired by the measured consumption / measured consumption amount acquisition unit 701, the extraction unit 702 extracts information on the customer's expected energy consumption amount and information on the energy reduction amount.

  Specifically, the function of the extraction unit 702 can be realized by the CPU 401 executing a program recorded in the network IF 408 shown in FIG. 4 or the ROM 402, RAM 403, HD 405, and the like.

  The first calculation unit 703 calculates the difference between the actual measured consumption amount acquired by the actual consumption / measured consumption amount acquisition unit 701 and the predicted energy consumption acquired from the extraction unit 702. In this embodiment, the difference is calculated by aligning the units with the primary energy consumption (GJ / year).

  Further, the first calculation unit 703 obtains the actual measured consumption amount when the actual measured consumption amount is acquired by the actual consumption / measured consumption amount acquisition unit 701 and the expected energy consumption amount is acquired by the extraction unit 702. And the difference between the estimated energy consumption amount. Specifically, the first calculation unit 703 can realize its function by causing the CPU 401 to execute a program recorded in the ROM 402, the RAM 403, the HD 405, or the like shown in FIG.

  By the calculation by the first calculation unit 703, the customer energy consumption reduced by the introduction of the ESCO business or the consumption amount corresponding to the customer energy consumption reduced by the introduction of the ESCO business can be quantified. As a result, the results of the introduction of the ESCO business can be quantified and the results of the introduction of the ESCO business can be clearly grasped.

  The weather information acquisition unit 704 acquires weather information from the weather information DB 303 via the network 310. The weather information acquisition unit 704 stores the past “(average) atmospheric pressure”, “temperature”, “average vapor pressure”, “(relative) humidity”, “(average) cloud cover”, “sunshine duration” stored in the weather information DB 303. "," Total solar radiation "," precipitation "," deepest snow "," snow depth "," wind speed ", and" wind direction "are acquired as weather information.

  Specifically, the weather information acquisition unit 704, for example, executes a program recorded in the ROM 402, RAM 403, HD 405, and the like shown in FIG. 4 and communicates with the weather information DB 303 via the network I / F 408. The function can be realized by performing

  The determination unit 705 determines whether or not a related energy saving method related to the weather information related to the weather information acquired by the weather information acquisition unit 704 is included in each energy saving method stored in the energy information DB 304. Judgment based on the information stored in.

  As a result, each energy saving method that is different for each customer can easily know whether or not the energy consumption is affected by weather fluctuations. In addition, when there is an influence, it can be easily understood how much influence is exerted for each energy saving method. Then, by extracting an energy saving method that affects energy consumption due to weather fluctuations, it is possible to derive a more accurate energy consumption fluctuation amount (or energy consumption fluctuation amount) due to weather fluctuations.

  When the presence / absence of relevance is indicated by ○ or × in the relevance information DB 305 (see FIG. 6A), the determination unit 705 determines the related energy saving if there is an energy saving method that is marked as ○ with relevance. Judge that the method is included. Specifically, for example, the energy saving technique I introduced by the customer A is a related energy saving technique, and the energy saving technique II introduced by the customer A is not a related energy saving technique.

  Further, the determination unit 705 may determine whether or not there is relevance for each condition in the weather information. Specifically, for example, when the temperature drops “10 degrees”, “falls 7 degrees”,..., “Rises 3 degrees”, etc., the same weather as “temperature” You may judge by subdividing in information. Thereby, the presence or absence of relevance can be determined in more detail.

  In addition, the determination unit 705 may determine whether or not there is a relevance for each predetermined date and time in the past in accordance with the timing of acquiring the weather information and the energy reduction amount information. Specifically, it may be determined by subdividing under the same weather information (and the same conditions) such as a predetermined date and time, for example, every month, every week, every day. Thereby, the presence or absence of relevance can be determined in more detail.

  Further, the determination unit 705 may determine whether there is a relationship based on the weather information acquired by the weather information acquisition unit 704 and calendar information such as month information, day information, and holiday information. Good. Thus, by including calendar information, the presence or absence of relevance can be determined in more detail.

  If the result of determination by the determination unit 705 includes a related energy saving method, the second calculation unit 706 calculates the total amount of change in the weather related to the weather information for each related energy saving method. The total amount of fluctuation is calculated based on information stored in the relevance information DB 305.

  As an example of the calculation based on the information stored in the relevance information DB 305, the second calculation unit 706, for example, among the information stored in the relevance information DB 305, there is a change in the weather amount under the operation by the related energy saving method. The difference between the calculated energy consumption amount and the energy reference consumption amount before the introduction of the ESCO business is calculated as a variation amount under the weather according to the weather information. The second calculation unit 706 replaces the energy reference consumption before the introduction of the ESCO business with the difference between the calculated energy consumption and the estimated energy consumption after the introduction of the ESCO business as the amount of change in the weather according to the weather information. It may be calculated.

  The fluctuation amount is calculated for each condition set in each weather information (air temperature, humidity, amount of sunshine, etc.). And the sum total of the fluctuation amount under the weather concerning the weather information is calculated by adding the fluctuation amount calculated for each condition. The same weather information may not be relevant depending on conditions, but the second calculation unit 706 in this case calculates the fluctuation amount as 0 (zero).

  In addition, when there are a plurality of relevant weather information, the second calculation unit 706 calculates a variation amount that takes into account the plurality of weather information. For example, when both the temperature and the humidity are related, the amount of change under a condition where both the temperature and the humidity are combined is calculated. Specifically, for example, if a related energy-saving method is introduced in which the energy consumption increases when the temperature rises and the fluctuation of the energy consumption increases when the humidity increases, the conditions under which the humidity rises as the temperature rises Below, it is less than the amount of fluctuation under conditions where the temperature increases and the humidity increases.

  The total amount of variation by the second calculation unit 706 or the amount of variation in the weather related to the weather information can be calculated using various known techniques. For example, the corresponding weather information (temperature, humidity, amount of sunlight, etc.) is calculated. It can be calculated by substituting into a mathematical expression that has been simulated in advance. Description of the calculation of the fluctuation amount under the weather according to the total fluctuation amount and the weather information is omitted. Specifically, the second calculation unit 706 can realize its function by causing the CPU 401 to execute a program recorded in the ROM 402, the RAM 403, the HD 405, or the like shown in FIG.

  By calculating by the second calculation unit 706, the amount of change in energy consumption due to the change in weather amount or the amount corresponding to the amount of change in energy consumption due to the change in weather amount is quantified for each related energy saving method. Can do. Further, it is determined for each energy saving method whether each energy saving method is an energy saving method that is affected by a change in weather amount (that is, whether the energy saving method is a related energy saving method) by the calculation by the second calculation unit 706. be able to.

  As a result, the amount of fluctuation in the amount of energy consumed by the introduction of the ESCO business or the amount of money corresponding to the amount of fluctuation in the energy consumption is quantified, and the result of the introduction of the ESCO business is quantified. On the other hand, it is possible to clearly grasp the effect of fluctuations in weather.

  When the difference calculated by the first calculation unit 703 is smaller than the total amount of fluctuation calculated by the second calculation unit 706, the output unit 707 sets the difference as an energy consumption amount that is a target of the weather derivative. When the difference is larger than the total amount of variation, the total amount of variation is output as the energy consumption subject to the weather derivative.

  That is, the output unit 707 has the smaller energy consumption among the difference between the actual measured energy consumption and the estimated energy consumption, and the total amount of fluctuation of the energy reduction amount for each related energy saving method related to the fluctuation amount of the weather. Print information about quantity. The output destination by the output unit 707 is at least one of the customer terminal device 302 and the weather derivative system 306, and may be output to both the customer terminal device 302 and the weather derivative system 306.

  By setting the output destination of the output unit 707 to the customer terminal device 302 or the weather derivative system 306, it is possible to send the derivative of the derivative to the customer who uses the customer terminal device 302 without using a person such as a sales representative of the ESCO business. It becomes possible to guide the energy consumption for the fluctuation due to the target weather. Specifically, the output unit 707 can realize its function by, for example, the network I / F 408 shown in FIG.

  Further, the output unit 707 may output information on the smaller energy consumption amount to the display 409 or the printer 413 provided in the ESCO business support apparatus 301. In this case, specifically, the output unit 707 can realize its function by, for example, the display 409 or the printer 413 shown in FIG. As a result, the ESCO operator can propose the amount of energy consumption based on the output information as the subject of the derivative as the fluctuation due to the weather.

  As described above, according to the ESCO business support apparatus 301, it is possible to guide the customer of the energy consumption corresponding to the change of the weather subject to the derivative or the consumption amount corresponding to the energy consumption. This makes it possible to compensate only for fluctuations due to the weather with derivative products.

  In the above configuration, the energy information DB 304 and the relevance information DB 305 are configured in the ESCO business support apparatus 301. However, the energy information DB 304 and the relevance information DB 305 are provided in the ESCO business support apparatus 301. There is no need to be. The energy information DB 304 and the relevance information DB 305 may be provided in a server (not shown) separate from the ESCO business support apparatus 301 via the network 305 such as the Internet or a LAN.

(Processing procedure of ESCO business support equipment)
Next, the processing procedure of the ESCO business support apparatus 301 will be described. FIG. 8 is a flowchart showing a processing procedure of the ESCO business support apparatus 301. In the flowchart of FIG. 8, first, the process waits until an instruction to start processing is given (step S801: No). In step S801, for example, when a predetermined input operation is performed on the ESCO business support apparatus 301, or when a predetermined period such as one month has elapsed since the previous process is performed, it is determined that a process start instruction has been issued.

  In step S801, when there is an instruction to start processing (step S801: Yes), the measured energy consumption / actual consumption amount acquisition unit 701 acquires the total of the measured energy consumption of the customer (step S802). In step S <b> 802, the customer's total energy consumption consumption is acquired for each customer.

  In step S802, instead of or in addition to the total measured energy consumption of the customer, the measured actual consumption / total amount of consumption may be acquired by the actual consumption / measured consumption acquisition unit 701. In step S802 in this case, the total amount of actual energy consumption of the customer is acquired for each customer.

  Next, the customer's expected energy consumption and energy reduction are acquired (step S803). In step S803, the extraction unit 702 extracts information on the customer's expected energy consumption and information on the energy reduction amount from the energy information DB 304, thereby acquiring the customer's expected energy consumption and energy reduction amount.

  Further, in step S803, when the total of the customer's actual energy consumption amount is acquired in step S802, instead of or in addition to the customer's expected energy consumption amount and energy reduction amount, the customer's expected energy consumption amount and energy reduction You may acquire the amount. In this case, in step S803, the information on the customer's expected energy consumption amount and the information on the energy reduction amount are extracted from the energy information DB 304 by the extraction unit 702, thereby acquiring the customer's expected energy consumption amount and energy reduction amount.

  The processing order of step S802 and the processing of step S803 may be reversed. That is, after obtaining the customer's expected energy consumption and energy reduction amount, the customer's total energy consumption consumption may be obtained. Alternatively, after obtaining the customer's expected energy consumption amount and energy reduction amount, the customer's total energy consumption amount may be obtained.

  Then, the first calculation unit 703 calculates a difference between the total energy actually measured consumption amount acquired in step S802 and the estimated energy consumption amount acquired in step S803 (step S804). In step S804, when the total amount of actually measured energy consumption is acquired in step S802 and the estimated energy consumption amount is acquired in step S803, the difference between the acquired total of actually measured energy consumption amount and the estimated energy consumption amount is calculated. 1 is calculated by the calculation unit 703.

  Next, weather information is acquired by the weather information acquisition unit 704 (step S805), and the determination unit 705 determines whether a related energy saving method is included under the weather related to the acquired weather information (step S806). . The timing for acquiring the weather information may be performed until the determination unit 705 determines whether or not the related energy saving method is included. Immediately before the determination unit 705 determines whether or not the related energy saving method is included. It is not limited. In step S806, when the related energy saving method is not included (step S806: No), the series of processes is terminated.

  On the other hand, in step S806, when the related energy saving method is included (step S806: Yes), the second calculation unit 706 calculates the total amount of change in the weather information under the weather for each related energy saving method (step S806). S807). In step S807, the total amount of variation in energy consumption determined to be relevant as a result of the determination in step S806 among the energy consumption acquired in steps S802 and S803 is calculated. The total amount of change is calculated for each customer.

  In step S807, when the actual energy consumption amount is acquired in step S802 and the expected energy consumption amount is acquired in step S803, the result of determination in step S806 out of the consumption amounts acquired in step S802 and step S803. The total amount of change in the amount of energy consumption determined to be relevant is calculated. The total amount of change is calculated for each customer.

  Next, it is determined whether or not the difference calculated in step S804 is smaller than the total amount of change in energy consumption calculated in step S807 (step S808). When the difference is smaller than the total amount of fluctuation of the energy consumption (step S808: Yes), the output unit 707 outputs the difference as the energy consumption that is the target of the weather derivative (step S809).

  On the other hand, in step S808, when the difference is larger than the total amount of variation (step S808: No), the output unit 707 outputs the total amount of variation in energy consumption as the energy consumption subject to the weather derivative ( Step S810). When the difference and the total amount of change are equal, the output unit 707 may output information indicating that the energy consumption subject to the weather derivative is 0 (zero).

  In step S808, when the total amount of fluctuation of the energy consumption amount is calculated in step S807, it is determined whether or not the calculated difference is smaller than the total amount of fluctuation of the energy consumption amount calculated in step S807. . When the difference is smaller than the total amount of fluctuation of the energy consumption amount, the output unit 707 outputs the difference as the amount of energy consumption subject to the weather derivative, and the difference is larger than the total amount of variation of the energy consumption amount. Outputs the total amount of change in the amount of energy consumption as the amount of energy consumption subject to the weather derivative.

  As described above, according to the ESCO business support apparatus 301 according to the embodiment of the present invention, the energy reduction amount for each related energy saving method related to the difference between the actually measured energy consumption and the expected energy consumption and the amount of change in weather. By outputting the lesser of the total amount of fluctuations as the energy consumption subject to the weather derivative, it is possible to accurately extract only the weather fluctuation risk, and only the fluctuation due to the weather can be extracted with the derivative product. It becomes possible to compensate.

  As a result, the weather derivative product can be effectively used also in the ESCO business, and the customer risk due to the change in the weather amount or the guarantee risk of the ESCO operator can be eliminated or reduced by the weather derivative. In addition, since the customer risk is reduced, the profitability of the customer can be stabilized. As a result, the ESCO operator can show the stability of the ESCO business to customers who hesitate to introduce due to concerns about the risk burden, and can actively propose the introduction of the ESCO business. As a result, it is possible to promote the introduction of the ESCO business.

  In addition, in the embodiment described above, when the consumption amount associated with energy consumption is used as the calculation target instead of the energy consumption amount, the difference between the actually measured energy consumption amount and the expected energy consumption amount and the relationship with the amount of change in weather By outputting the lesser of the total amount of energy reduction amount for each energy saving method as the energy consumption amount subject to weather derivatives, it is possible to accurately extract only the weather variation risk, depending on the weather. It is possible to cover only the fluctuations with derivative products.

  In this case as well, the weather derivative product can be effectively used in the ESCO business, and the customer risk due to the change in the weather amount or the guarantee risk of the ESCO operator can be eliminated or reduced by the weather derivative. In addition, since the customer risk is reduced, the profitability of the customer can be stabilized. As a result, the ESCO operator can show the stability of the ESCO business to customers who hesitate to introduce due to concerns about the risk burden, and can actively propose the introduction of the ESCO business. As a result, it is possible to promote the introduction of the ESCO business.

  As described above, according to the present embodiment, the introduction of the ESCO business is promoted by reducing the customer risk due to the weather fluctuation risk or the guarantee risk of the ESCO business operator and stabilizing the profitability of the customer. Can be achieved.

  The ESCO business implementation support method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a medium that can be distributed via a network such as the Internet.

  As described above, the ESCO project implementation support device, the ESCO project implementation support method, and the ESCO project implementation support program are useful when supporting the implementation of the ESCO project, and in particular, the ESCO in which energy consumption varies due to weather fluctuations. Suitable for supporting project implementation.

It is explanatory drawing (the 1) which shows the outline | summary of the weather derivative system of embodiment concerning this invention. It is explanatory drawing (the 2) which shows the outline | summary of the weather derivative system of embodiment concerning this invention. It is explanatory drawing which shows the system configuration | structure of the weather derivative system containing the ESCO business implementation support apparatus concerning this Embodiment of this invention. It is explanatory drawing (block diagram) which shows the hardware constitutions of the ESCO information server concerning this Embodiment of this invention. It is explanatory drawing which shows an example of the data structure of energy information DB. It is explanatory drawing (the 1) which shows an example of the data structure of relevance information DB. It is explanatory drawing (the 2) which shows an example of the data structure of relevance information DB. It is explanatory drawing (the 1) which shows an example of the data structure used for calculation of an influence rate (%). It is explanatory drawing (the 2) which shows an example of the data structure used for calculation of an influence rate (%). It is explanatory drawing (block diagram) which shows the functional structure of the ESCO information server concerning this Embodiment of this invention. It is a flowchart which shows the process sequence of an ESCO information server. It is explanatory drawing which shows the outline of the conventional ESCO business.

Explanation of symbols

301 ESCO business support device 302 Customer terminal device 303 Weather information DB
304 Energy Information DB
306 Weather derivative system 701 Actual consumption / actual consumption acquisition unit 702 Extraction unit 703 First calculation unit 704 Weather information acquisition unit 705 Judgment unit 706 Second calculation unit 707 Output unit

Claims (5)

Information on energy standard consumption before introduction for each customer who introduced the ESCO business, information on energy expected consumption after introduction of the customer, and energy reduction amount obtained by subtracting the energy expected consumption from the energy standard consumption An energy reduction amount information database for storing information on energy saving methods introduced by the customer, and information on energy saving amounts for each of the energy saving methods,
A relevance information database for storing information on the relevance between the amount of change in weather and the amount of change in energy reduction amount of each of the energy saving methods;
Connected or communicably connected,
An actual consumption acquisition means for acquiring the total of the actual energy consumption of the customer;
Extraction means for extracting information related to the expected energy consumption of the customer and information related to the energy reduction amount from the energy reduction amount information database;
First calculation means for calculating a difference between the actual energy consumption acquired by the actual consumption acquisition means and the expected energy consumption acquired from the extraction means;
Weather information acquisition means for acquiring weather information;
Based on the information stored in the relevance information database, it is determined whether or not a related energy saving method related to the weather information acquired by the weather information acquisition unit is included among the energy saving methods. A judgment means to
Based on the information stored in the relevance information database, the total amount of change in the weather related to the weather information for each relevant energy saving method when the result of the determination by the determination means includes the related energy saving method. Second calculating means for calculating
When the difference calculated by the first calculation means is less than the total amount of fluctuation calculated by the second calculation means, the difference is output as an energy consumption subject to weather derivatives, When the difference is larger than the total amount of variation, an output means for outputting the total amount of variation as an energy consumption subject to the weather derivative;
An ESCO business implementation support device characterized by comprising: Information on energy-based consumption before introduction for each customer who introduced the ESCO business, information on expected energy consumption after introduction of the customer, and energy reduction amount obtained by subtracting the estimated energy consumption from the energy-based consumption An energy reduction amount information database for storing information on, energy saving methods introduced by the customer, and information on energy reduction amounts for each energy saving method,
A relevance information database that stores information on the relevance between the amount of change in weather and the amount of change in the amount of energy reduction for each of the energy saving methods;
Connected or communicably connected,
Actual consumption consumption acquisition means for acquiring the total of the actual energy consumption of the customer;
Extraction means for extracting information related to the estimated energy consumption amount of the customer and information related to the energy reduction amount from the energy reduction amount information database;
First calculating means for calculating a difference between the actual measured consumption amount acquired by the actual measured consumption amount acquisition means and the expected energy consumption amount acquired from the extraction means;
Weather information acquisition means for acquiring weather information;
Based on the information stored in the relevance information database, it is determined whether or not a related energy saving method related to the weather information acquired by the weather information acquisition unit is included among the energy saving methods. A judgment means to
Based on the information stored in the relevance information database, the total amount of change in the weather related to the weather information for each relevant energy saving method when the result of the determination by the determination means includes the related energy saving method. Second calculating means for calculating
When the difference calculated by the first calculation means is smaller than the total amount of fluctuation calculated by the second calculation means, the difference is output as an amount to be subject to a weather derivative and the difference However, if there is more than the total amount of variation, output means for outputting the total amount of variation as the amount subject to the weather derivative,
An ESCO business implementation support device characterized by comprising: Information on energy standard consumption before introduction for each customer who introduced the ESCO business, information on energy expected consumption after introduction of the customer, and energy reduction amount obtained by subtracting the energy expected consumption from the energy standard consumption An energy reduction amount information database for storing information on energy saving methods introduced by the customer, and information on energy saving amounts for each of the energy saving methods,
A relevance information database for storing information on the relevance between the amount of change in weather and the amount of change in energy reduction amount of each of the energy saving methods;
Connected or communicably connected,
Executed by the ESCO business implementation support apparatus, which includes an actually measured consumption acquisition unit, an extraction unit, a first calculation unit, a weather information acquisition unit, a determination unit, a second calculation unit, and an output unit. ESCO business implementation support method,
The actual consumption acquisition step, the actual consumption acquisition means for acquiring the total of the actual energy consumption of the customer,
An extraction step in which the extraction means extracts information on the expected energy consumption of the customer and information on the energy reduction amount from the energy reduction amount information database;
A first calculation step in which the first calculation means calculates a difference between the actual measured consumption acquired by the actual measured consumption acquisition step and the estimated energy consumption acquired from the extraction step;
A weather information acquisition step in which the weather information acquisition means acquires weather information; and
The determination means stores in the relevance information database whether or not a related energy saving method related to the weather information acquired by the weather information acquisition step is included in each of the energy saving methods. A judgment process for judging based on information;
When the second calculation means includes a related energy saving method as a result of the determination in the determination step, the relevance information is a total amount of variation in the weather related to the weather information for each related energy saving method. A second calculation step for calculating based on information stored in the database;
When the difference calculated by the first calculation step is smaller than the total amount of fluctuation calculated by the second calculation step, the output means uses the difference as the energy consumption subject to the weather derivative. And when the difference is larger than the total amount of variation, an output step of outputting the total amount of variation as an energy consumption subject to the weather derivative;
The ESCO business implementation support method characterized by including. Information on energy-based consumption before introduction for each customer who introduced the ESCO business, information on expected energy consumption after introduction of the customer, and energy reduction amount obtained by subtracting the estimated energy consumption from the energy-based consumption An energy reduction amount information database for storing information on, energy saving methods introduced by the customer, and information on energy reduction amounts for each energy saving method,
A relevance information database that stores information on the relevance between the amount of change in weather and the amount of change in the amount of energy reduction for each of the energy saving methods;
Connected or communicably connected,
Executed by the ESCO business implementation support apparatus, which includes an actually measured consumption amount acquisition unit, an extraction unit, a first calculation unit, a weather information acquisition unit, a determination unit, a second calculation unit, and an output unit. ESCO business implementation support method,
The measured consumption amount acquisition means acquires the total of the customer's actual measured consumption amount of money, an actual measured consumption amount acquisition step;
An extraction step in which the extraction means extracts information on the expected energy consumption amount of the customer and information on the energy reduction amount from the energy reduction amount information database;
A first calculation step in which the first calculation means calculates a difference between the actual measured consumption amount acquired by the actual measured consumption amount acquisition step and the expected energy consumption amount acquired from the extraction unit;
A weather information acquisition step in which the weather information acquisition means acquires weather information; and
The determination means stores in the relevance information database whether or not a related energy saving method related to the weather information acquired by the weather information acquisition step is included in each of the energy saving methods. A judgment process for judging based on information;
When the second calculation means includes a related energy saving method as a result of the determination in the determination step, the relevance information is a total amount of variation in the weather related to the weather information for each related energy saving method. A second calculation step for calculating based on information stored in the database;
When the difference calculated by the first calculation step is smaller than the total amount of fluctuation calculated by the second calculation step, the output means outputs the difference as an amount subject to a weather derivative. And, if the difference is greater than the total amount of variation, an output step of outputting the total amount of variation as an amount subject to the weather derivative;
The ESCO business implementation support method characterized by including.   5. An ESCO business implementation support program that causes a computer to execute the ESCO business implementation support method according to claim 3.

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