JP2015061395A - Energy utilization support system, method of supporting the same and support program - Google Patents

Energy utilization support system, method of supporting the same and support program Download PDF

Info

Publication number
JP2015061395A
JP2015061395A JP2013193466A JP2013193466A JP2015061395A JP 2015061395 A JP2015061395 A JP 2015061395A JP 2013193466 A JP2013193466 A JP 2013193466A JP 2013193466 A JP2013193466 A JP 2013193466A JP 2015061395 A JP2015061395 A JP 2015061395A
Authority
JP
Japan
Prior art keywords
energy
term
operation plan
short
long
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2013193466A
Other languages
Japanese (ja)
Other versions
JP6226367B2 (en
Inventor
山口 修一
Shuichi Yamaguchi
修一 山口
西村 信孝
Nobutaka Nishimura
信孝 西村
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Toshiba Corp
Original Assignee
Toshiba Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Toshiba Corp filed Critical Toshiba Corp
Priority to JP2013193466A priority Critical patent/JP6226367B2/en
Publication of JP2015061395A publication Critical patent/JP2015061395A/en
Application granted granted Critical
Publication of JP6226367B2 publication Critical patent/JP6226367B2/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00Adapting or protecting infrastructure or their operation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

Abstract

PROBLEM TO BE SOLVED: To provide an energy utilization support system capable of performing occasionally appropriate operation while reducing total energy consumption amount at a constant ratio.SOLUTION: The energy utilization support system regularly measures energy consumption amount of each of plural energy utilization apparatuses in a facility to be managed; acquires a piece of meteorological information including a weather forecast; accumulates the measurement result of the energy consumption amount together with the meteorological information; predicts the long-term energy consumption of the plural energy utilization apparatuses from previous result based on the accumulated information and the meteorological forecast; determines an operation target for reducing the energy consumption based on the energy consumption prediction result; creates a long-term operation plan of each of the plural energy utilization apparatuses based on the operation target; and creates a short-term operation plan by dividing the long-term operation plan. When the measurement result is expected to exceed an allowable range, the energy utilization support system corrects the short-term operation plan to be within the allowable range while considering the long-term operation plan.

Description

本発明の実施形態は、ビル等の建築物のエネルギー管理において、省電力化の要求を実現しつつ、ユーザにとって適切な利用を図るエネルギー利用支援技術に関する。   Embodiments of the present invention relate to an energy use support technology for achieving appropriate use for a user while realizing a demand for power saving in energy management of a building such as a building.

近年、ビル等の建築物のエネルギー管理システムとして、空調、照明設備等の電気機器のエネルギー利用状況をモニタリングするシステムが実用化されている。このシステムによれば、エネルギー利用状況を監視することで、常時、無駄な利用はないか判断し、ピーク時のエネルギー消費を削減する、いわゆる省エネのための運用等を行っている。   In recent years, as an energy management system for buildings such as buildings, a system for monitoring the energy usage status of electric devices such as air conditioners and lighting facilities has been put into practical use. According to this system, by monitoring the energy usage status, it is always judged whether there is any uselessness, and so-called energy saving operation is performed to reduce peak energy consumption.

ところで、更なる省エネを実現するために、床面積当りの年間エネルギー消費量の規制値を定めるといった政策や、太陽光発電などの再生可能エネルギーで建物の利用するエネルギーを補ってエネルギー消費を削減する等の方法が進められている。   By the way, in order to realize further energy saving, we will reduce energy consumption by supplementing the energy used by buildings with renewable energy such as solar power generation and policies that set annual energy consumption per floor area. Etc. are being promoted.

しかしながら、床面積当りの年間エネルギー消費量の規制値を守るために、単純に前年度の10%削減といった運用を行うと、猛暑日に不快なほど空調を控える必要に迫られたり、空調利用の少ない季節には、業務に必要な機器の稼動を減らさないと削減余地が無いなど、実質的に無理を強いられたりすることがあった。また、年間を通じた目標を達成できるのか正確にわからないため、過剰な節約を強いられるといった課題もある。また、太陽光発電や風力発電等の再生可能エネルギーを組み合わせた運用では、発電量の予測を含め、年間を通じた発電量に合わせるような運用が必要となる。   However, in order to comply with the regulation value of annual energy consumption per floor area, simply performing a 10% reduction compared to the previous year, it is necessary to refrain from air conditioning unpleasantly on a hot day, or use of air conditioning In the few seasons, there was a case where it was practically impossible to do so, for example, there was no room for reduction unless the operation of equipment necessary for work was reduced. There is also the challenge of over-savings because you don't know exactly whether you can achieve your goals throughout the year. Moreover, in the operation combined with renewable energy such as solar power generation and wind power generation, it is necessary to operate in accordance with the power generation amount throughout the year including the prediction of the power generation amount.

特許3324265号公報Japanese Patent No. 3324265

以上のように、従来の省エネ対策では、一律に一定の割合で削減する手法をとっているため、時々の適切な運用が困難な状況にある。   As described above, in the conventional energy saving measures, since a method of uniformly reducing at a constant rate is adopted, appropriate operation from time to time is difficult.

本実施形態の目的は、全体として一定の割合でエネルギー利用量を削減しつつも、時々の適切な運用を実現することのできるエネルギー利用支援システムとその支援方法及び支援プログラムを提供することにある。   An object of the present embodiment is to provide an energy use support system, a support method thereof, and a support program that can realize appropriate operation from time to time while reducing the amount of energy used at a constant rate as a whole. .

本実施形態に係るエネルギー利用支援システムは、計測手段と、気象情報取得手段と、蓄積手段と、予測手段と、目標決定手段と、長期計画立案手段と、短期計画立案手段とを備える。計測手段は、複数のエネルギー利用機器それぞれのエネルギー利用量を定期的に計測する。気象情報取得手段は、気象予報を含む気象情報を取得する。蓄積手段は、前記計測手段の計測結果を前記気象情報と共に蓄積する。前記予測手段は、前記蓄積手段の蓄積情報に基づく過去の実績と前記気象情報取得手段で得られる長期の気象予測から前記複数のエネルギー利用機器の長期のエネルギー利用予測を行う。目標決定手段は、前記予測手段の予測結果からエネルギー削減のための運用目標を決定する。長期計画立案手段は、前記運用目標に基づいて前記複数のエネルギー利用機器それぞれの長期運用計画を作成する。短期計画立案手段は、前記長期運用計画を分割して短期運用計画を作成する。前記短期計画立案手段は、前記短期運用計画を作成する際に、前記計測手段の計測結果が許容範囲を超えるか否かを予測し、許容範囲を超えると予測される場合には、前記長期運用計画を考慮して、前記短期運用計画を許容範囲に収まるように修正する。   The energy utilization support system according to the present embodiment includes a measurement unit, a weather information acquisition unit, a storage unit, a prediction unit, a target determination unit, a long-term plan planning unit, and a short-term plan planning unit. The measuring means periodically measures the amount of energy used by each of the plurality of energy using devices. The weather information acquisition means acquires weather information including a weather forecast. The accumulating unit accumulates the measurement result of the measuring unit together with the weather information. The prediction means performs long-term energy use prediction of the plurality of energy use devices from past results based on the stored information of the storage means and long-term weather prediction obtained by the weather information acquisition means. The target determining means determines an operation target for energy reduction from the prediction result of the prediction means. The long-term planning means creates a long-term operation plan for each of the plurality of energy utilization devices based on the operation target. The short-term planning means divides the long-term operation plan to create a short-term operation plan. The short-term planning means predicts whether the measurement result of the measuring means exceeds an allowable range when creating the short-term operation plan, and if it is predicted to exceed the allowable range, the long-term operation plan In consideration of the plan, the short-term operation plan is modified to be within an allowable range.

実施形態に係るエネルギー利用支援システムの全体構成を示すブロック図。The block diagram which shows the whole structure of the energy utilization assistance system which concerns on embodiment. 実施形態に係るシステムについて、その運用を実施するための全体の流れを示すフローチャート。The flowchart which shows the whole flow for implementing the operation | movement about the system which concerns on embodiment. 実施形態に係るシステムの目標データ分析部の処理の詳細を示すフローチャート。The flowchart which shows the detail of the process of the target data analysis part of the system which concerns on embodiment. 実施形態に係るシステムの目標データ分析部で生成された、年間を通じた月毎のエネルギー利用量の長期運用計画、今年度実績、PV発電分を、比較用の昨年度実績(または過去の平均実績)と共に表示した例を示すタイムチャート。The long-term operation plan of monthly energy usage throughout the year, actual results for this year, and PV power generation generated by the target data analysis unit of the system according to the embodiment, last year results for comparison (or past average results) The time chart which shows the example displayed with. 実施形態に係るシステムの時間毎のエネルギー利用量の実績と計画を表示した例を示すタイムチャート。The time chart which shows the example which displayed the result and plan of the energy usage-amount of every hour of the system which concerns on embodiment.

以下、図面を参照しながら実施形態を説明する。   Hereinafter, embodiments will be described with reference to the drawings.

図1は本実施形態に係るエネルギー利用支援システムの全体構成を示すブロック図である。図1に示すシステムは、ビルが備える主なエネルギー発電・消費機器(例えば太陽光(PV:Photovoltaic)発電装置、空調装置、照明、OA機器等)にて発電・消費する電力量をそれぞれ計測するための電力量計111〜11nと、各電力量計111〜11nの計測結果を収集し、各種気象情報等を含む気象データを加味してエネルギー利用状況を監視するエネルギー利用監視部12と、このエネルギー利用監視部12の監視結果を表示して制御指示を出す表示・操作端末13とから構成される。一方、エネルギー利用監視部12及び表示・操作端末13は、上記ビルのエネルギー発電・消費機器を制御するビル制御部14と連携を行う。   FIG. 1 is a block diagram showing the overall configuration of the energy utilization support system according to the present embodiment. The system shown in FIG. 1 measures the amount of electric power generated and consumed by main energy power generation and consumption equipment (for example, photovoltaic (PV: Photovoltaic) power generation equipment, air conditioning equipment, lighting, OA equipment, etc.) provided in the building. Energy usage monitoring unit 12 for collecting the measurement results of each watt hour meter 111-11n, and monitoring the energy usage status in consideration of weather data including various weather information, etc. It comprises a display / operation terminal 13 that displays the monitoring result of the energy utilization monitoring unit 12 and issues a control instruction. On the other hand, the energy usage monitoring unit 12 and the display / operation terminal 13 cooperate with the building control unit 14 that controls the energy power generation / consumption equipment of the building.

上記エネルギー利用監視部12は、データ収集部121、データ蓄積部122、目標データ分析部123、表示データ生成部124から構成される。データ収集部121は、例えば上記電力量計111〜11nの測定結果(エネルギー消費量、発電実績のデータ)を、外部通信ネットワークを通じて配信される気象データと共に収集する。データ蓄積部122は、データ収集部121の収集結果を気象データの情報と対応付けて蓄積する。目標データ分析部123は、ビル制御部14を通じて指定される省電力化目標データに沿って、上記データ蓄積部122の蓄積データを分析し、翌日以降の運用計画を作成する。表示データ生成部124は、データ蓄積部122の蓄積結果が示すエネルギー消費量・発電実績、目標データ分析部123で得られた運用計画について、所定のフォームでユーザに提示するための表示データを生成する。   The energy usage monitoring unit 12 includes a data collection unit 121, a data storage unit 122, a target data analysis unit 123, and a display data generation unit 124. For example, the data collection unit 121 collects the measurement results (energy consumption, power generation data) of the watt-hour meters 111 to 11n together with weather data distributed through the external communication network. The data storage unit 122 stores the collection result of the data collection unit 121 in association with the weather data information. The target data analysis unit 123 analyzes the stored data of the data storage unit 122 in accordance with the power saving target data specified through the building control unit 14, and creates an operation plan for the next day and thereafter. The display data generation unit 124 generates display data to be presented to the user in a predetermined form for the energy consumption / power generation results indicated by the storage result of the data storage unit 122 and the operation plan obtained by the target data analysis unit 123. To do.

表示・操作端末13は、表示データ生成部124で生成される表示データをユーザの要求に応じて表示し、その表示内容に応じてユーザが操作する入力情報をビル制御部14に送出する。   The display / operation terminal 13 displays the display data generated by the display data generation unit 124 in response to a user request, and sends input information operated by the user to the building control unit 14 in accordance with the display content.

ビル制御部14は、オペレータへの画面提供や制御操作を受け付ける制御操作・画面生成部141、運用計画に沿って設定された室温や照度に合わせて空調機器、照明を自動的に制御する自動制御部142、ビルのエネルギー発電・消費機器との制御通信を行うビルシステム制御部143から構成され、エネルギー利用支援システムの支援を受けて、最適な運用計画に従って自動制御を実行する。エネルギー利用監視部12とビル制御部14との連携は、オペレータの操作によるもの、または、システム間で通信することによって行われる。また、エネルギー利用監視部12をビル制御部14に一体化して構成するようにしてもよい。   The building control unit 14 is a control operation / screen generation unit 141 that accepts screens to the operator and receives control operations, and an automatic control that automatically controls air conditioning equipment and lighting according to room temperature and illuminance set according to the operation plan. Unit 142, and a building system control unit 143 that performs control communication with the energy generation / consumption equipment of the building, and performs automatic control according to an optimal operation plan with the support of the energy use support system. Cooperation between the energy use monitoring unit 12 and the building control unit 14 is performed by an operator's operation or by communicating between systems. Further, the energy usage monitoring unit 12 may be integrated with the building control unit 14.

図2に示すフローチャートを参照して、本実施形態に係るエネルギー利用支援システムにおいて、その運用を実施するための全体の流れを説明する。図2において、まず、各電力量計111〜11nからのエネルギー消費・発電データ、および外部通信ネットワークを通じて気象データを定期的に収集し蓄積する(ステップS11)。次に、表示データ生成部124にて、蓄積データを元にエネルギー利用状況(消費量)の実績・発電実績について表示データを生成する(ステップS12)。また、目標データ分析部123にて、データ蓄積部122に蓄積されたデータを分析し、翌日の運用計画を生成する(ステップS13)。運用当日、表示・操作端末13にて、運用計画に沿った、空調の設定温度、照明の照度の設定運用を行うようにオペレータの指示入力を受ける(もしくは、空調、照明等の自動制御を受ける)(ステップS14)。ここで、目標データ分析部123にて、気象データに基づき当日の午前中に天気予報通りに気温が大きく上昇するといった変化の有無を判断し、その変化があった場合、再度分析を行い、運用計画の見直し・補正を行う(ステップS15)。そして、見直し・補正した運用計画に合わせて、設定温度等の修正を行い運用するようにビル制御部14に指示する(ステップS16)。その後、運用実績の確認を行い、年間目標の達成のための翌日の運用計画等を行う(ステップS17)。以上の手順を繰り返すことで運用を継続する。   With reference to the flowchart shown in FIG. 2, the overall flow for implementing the operation in the energy utilization support system according to the present embodiment will be described. In FIG. 2, first, energy consumption / power generation data from each of the watt-hour meters 111 to 11n and weather data are periodically collected and stored through an external communication network (step S11). Next, the display data generation unit 124 generates display data for the actual energy use status (consumption) and the actual power generation based on the accumulated data (step S12). Further, the target data analysis unit 123 analyzes the data stored in the data storage unit 122 and generates an operation plan for the next day (step S13). On the day of operation, the display / operation terminal 13 receives an operator's instruction input to set and operate the air conditioning set temperature and illumination illuminance according to the operation plan (or receive automatic control of air conditioning, lighting, etc.) (Step S14). Here, the target data analysis unit 123 determines whether or not there is a change such as a large temperature rise according to the weather forecast in the morning of the day based on the weather data. If there is a change, the analysis is performed again. The plan is reviewed and corrected (step S15). Then, the building control unit 14 is instructed to modify and operate the set temperature in accordance with the revised / corrected operation plan (step S16). Thereafter, the operation results are confirmed, and the next day operation plan for achieving the annual target is performed (step S17). Continue operation by repeating the above procedure.

図3に示すフローチャートを参照して、上記目標データ分析部123の処理の詳細を説明する。図3において、まず過去の実績から入力条件とエネルギー利用量との相関を算出し(ステップS21)、月毎1年間分等の長期のエネルギー利用予測データを生成する(ステップS22)。また、長期の天気予報による気温予測から長期(年間等)のエネルギー利用予測データを補正する(ステップS23)。   Details of the processing of the target data analysis unit 123 will be described with reference to the flowchart shown in FIG. In FIG. 3, first, the correlation between the input condition and the energy usage amount is calculated from the past results (step S21), and long-term energy usage prediction data such as one year per month is generated (step S22). Further, long-term (annual) energy use prediction data is corrected from the temperature prediction based on the long-term weather forecast (step S23).

次に、床面積あたりの年間エネルギー利用量を算出し、その利用量から削減目標として年間での目標削減率・削減量の算出を行う(ステップS24)。これを基に、長期運用計画として、削減量について年間の残り日程への割り当てを行う(ステップS25)。この際、単純なエネルギー利用量の割り当てではなく、設定温度とエネルギー利用量との相関から、季節ごとの快適温度との差が少なくなるよう割り当てる。   Next, the annual energy usage per floor area is calculated, and the annual target reduction rate / reduction is calculated as a reduction target from the usage (step S24). Based on this, as a long-term operation plan, the reduction amount is allocated to the remaining schedule of the year (step S25). At this time, instead of simply assigning the energy use amount, the difference between the comfortable temperature for each season is assigned based on the correlation between the set temperature and the energy use amount.

続いて、翌日から数日先の天気予報を元に、翌日の運用計画を生成する(ステップS26)。この際にはまず、翌日の天気予報によるエネルギー利用予測を行い、年間を通した計画で割り当てたエネルギー利用計画からの差を算出する。猛暑日や極寒日などエネルギー利用が大きくなりそうな場合には、数日先の天気予報を基に、一時的に利用が増えても天候が回復した分で相殺できると想定される場合は、快適性の低下を抑えた運用計画を生成する。また、気温と日照の関係から、太陽光発電等での発電にてエネルギー消費と相殺できる場合も快適性の低下を抑えた運用計画を生成する。   Subsequently, an operation plan for the next day is generated based on a weather forecast several days ahead from the next day (step S26). In this case, first, the energy use prediction is performed by the weather forecast of the next day, and the difference from the energy use plan assigned in the plan throughout the year is calculated. If energy usage is likely to increase, such as on extremely hot days or extremely cold days, based on weather forecasts a few days ahead, even if the usage temporarily increases, it can be offset by the recovered weather, Generate an operation plan that reduces comfort degradation. In addition, from the relationship between temperature and sunshine, an operation plan that suppresses the decrease in comfort is generated even when the energy consumption can be offset by power generation using solar power generation or the like.

図4に、上記目標データ分析部123で生成された、年間を通じた月毎のエネルギー利用量の長期運用計画A、今年度実績B、PV発電分Cを、比較用の昨年度実績(または過去の平均実績)Dと共に表示する例を示す。図4では、4月を現在として、今年度の現在までの実績Bに続いて今年度残り期間のエネルギー利用の運用計画Aを表示する例を示している。季節による気温変動等を織り込むことで、ペース配分したエネルギー利用の削減を実施する計画を確認することができる。   In FIG. 4, the long-term operation plan A, current year result B, and PV power generation C of the monthly energy usage throughout the year generated by the target data analysis unit 123 are compared with the previous year results (or past An example of displaying together with (average performance) D is shown. FIG. 4 shows an example in which an operation plan A for energy utilization for the remaining period of the current fiscal year is displayed following the actual result B of the current fiscal year, with April as the present. By taking into account seasonal temperature fluctuations, it is possible to confirm a plan to reduce paced energy use.

図5に、時間毎のエネルギー利用量の実績と計画の表示例を示す。図5において、Eは運用目標、Fは本日実績、GはPV発電分、Hは比較用に前年同時期の実績値を示しており、例えば当日10時の基準値(例えば減税対象値)までの実績値、残り時間のエネルギー利用の運用計画を表示する。この運用計画の立案に、天気予報による日照や気温変化を織り込んで、快適性の低下を抑えたエネルギー利用の運用計画を表示し、推奨設定温度等、運用計画を達成するための設定情報を表示する。また、この設定情報をビル制御部14に伝達することで、連携制御を行い、エネルギー利用の削減の自動化を行う。   FIG. 5 shows a display example of the results and plans of the energy usage amount for each hour. In FIG. 5, E is the operational target, F is the actual result, G is the PV power generation, H is the actual value for the same period of the previous year for comparison. For example, up to the standard value (for example, tax reduction target value) at 10:00 on that day The actual value and the energy usage operation plan for the remaining time are displayed. Incorporating sunlight and temperature changes due to weather forecasts into the planning of this operation plan, the energy usage operation plan that suppresses the decline in comfort is displayed, and the setting information for achieving the operation plan such as the recommended set temperature is displayed. To do. In addition, by transmitting this setting information to the building control unit 14, cooperative control is performed to automate the reduction of energy use.

尚、上記の実施形態において、エネルギー利用量の気温との相関算出については、電力会社の需給調整等で使われている需要予測の技術を流用して、重回帰分析、ニューラルネットワーク等の調査依頼を想定することができる。また、ビルの熱容量、断熱性、空調設備の効率から算出する方法も可能である。   In the above embodiment, for the calculation of the correlation between the energy usage amount and the temperature, the demand forecasting technique used in the supply / demand adjustment of the electric power company, etc. is used, and the survey request such as the multiple regression analysis and the neural network is used. Can be assumed. Moreover, the method of calculating from the heat capacity of a building, heat insulation, and the efficiency of air-conditioning equipment is also possible.

したがって、上記構成によるエネルギー利用支援システムによれば、天候の変化とその予報判断に基づいて運用計画を逐次修正するようにしているので、全体として一定の割合でエネルギー消費量を削減しつつも、時々の適切な運用を実現することができる。   Therefore, according to the energy utilization support system having the above configuration, the operation plan is sequentially revised based on the change in weather and the forecast judgment, so that while reducing the energy consumption at a constant rate as a whole, Appropriate operation from time to time can be realized.

尚、上記実施形態の支援システムにおいて、エネルギー利用監視部12をビル制御部14に一体化して構成するようにしてもよいが、エネルギー利用監視部12を管理対象とするビルとは別の場所に配置し、ネットワークを通じて電力量計111〜11n及びビル制御部14と接続して、電力量計111〜11nの計測結果、気象データを収集し、表示・制御端末13及びビル制御部14を遠隔制御することも可能である。さらに、多数のビルを管理下において、エネルギー利用監視部12で集中して各ビルの制御指示処理を実行することも可能である。   In the support system of the above embodiment, the energy usage monitoring unit 12 may be integrated with the building control unit 14, but the energy usage monitoring unit 12 is located at a place different from the building to be managed. It arranges and connects with electricity meter 111-11n and building control part 14 through a network, collects the measurement result and weather data of electricity meter 111-11n, and controls display / control terminal 13 and building control part 14 remotely It is also possible to do. Further, under the control of a large number of buildings, the energy usage monitoring unit 12 can centrally execute control instruction processing for each building.

また、上記実施形態において、ビルを制御対象としたが、ビル以外の各種施設についても管理対象施設として適用可能であることはいうまでもない。   Moreover, in the said embodiment, although the building was made into the control object, it cannot be overemphasized that various facilities other than a building are applicable as a management object facility.

また、上記実施形態はそのままに限定されるものではなく、実施段階ではその要旨を逸脱しない範囲で構成要素を変形して具体化できる。また、上記実施形態に開示されている複数の構成要素の適宜な組み合わせでもよい。例えば、実施形態に示される全構成要素から幾つかの構成要素を削除してもよい。さらに、異なる実施形態にわたる構成要素を適宜組み合わせてもよい。   Moreover, the said embodiment is not limited as it is, In an implementation stage, it can change and implement a component within the range which does not deviate from the summary. Moreover, an appropriate combination of a plurality of constituent elements disclosed in the above embodiment may be used. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

111〜11n 電力量計、
12 エネルギー利用監視部、
121 データ収集部、
122 データ蓄積部、
123 目標データ分析部、
124 表示データ生成部、
13 表示・操作端末、
14 ビル制御部、
141 制御操作・画面生成部、
142 自動制御部、
143 ビルシステム制御部。
111-11n electricity meter,
12 Energy usage monitoring department,
121 data collection unit,
122 data storage unit,
123 Target Data Analysis Department,
124 display data generation unit,
13 Display / operation terminal,
14 Building control unit,
141 control operation / screen generation unit,
142 automatic control unit,
143 Building system control unit.

Claims (15)

複数のエネルギー利用機器それぞれのエネルギー利用量を定期的に計測する計測手段と、
気象予報を含む気象情報を取得する気象情報取得手段と、
前記計測手段の計測結果を前記気象情報と共に蓄積する蓄積手段と、
前記蓄積手段の蓄積情報に基づく過去の実績と前記気象情報取得手段で得られる長期の気象予測から前記複数のエネルギー利用機器の長期のエネルギー利用予測を行う予測手段と、
前記予測手段の予測結果からエネルギー削減のための運用目標を決定する目標決定手段と、
前記運用目標に基づいて前記複数のエネルギー利用機器それぞれの長期運用計画を作成する長期計画立案手段と、
前記長期運用計画を分割して短期運用計画を作成する短期計画立案手段と
を具備し、
前記短期計画立案手段は、前記短期運用計画を作成する際に、前記計測手段の計測結果が許容範囲を超えるか否かを予測し、許容範囲を超えると予測される場合には、前記長期運用計画を考慮して、前記短期運用計画を許容範囲に収まるように修正するエネルギー利用支援システム。
A measuring means for periodically measuring the energy usage of each of the plurality of energy using devices;
Weather information acquisition means for acquiring weather information including weather forecast;
Accumulating means for accumulating the measurement results of the measuring means together with the weather information;
Prediction means for performing long-term energy utilization prediction of the plurality of energy utilization devices from past results based on accumulated information of the accumulation means and long-term weather prediction obtained by the weather information acquisition means;
Target determination means for determining an operation target for energy reduction from the prediction result of the prediction means;
A long-term planning means for creating a long-term operation plan for each of the plurality of energy utilization devices based on the operation target;
Comprising short-term planning means for dividing the long-term operation plan and creating a short-term operation plan;
The short-term planning means predicts whether the measurement result of the measuring means exceeds an allowable range when creating the short-term operation plan, and if it is predicted to exceed the allowable range, the long-term operation plan An energy utilization support system that corrects the short-term operation plan so as to be within an allowable range in consideration of the plan.
前記短期計画立案手段は、前記長期運用計画を分割して前記短期運用計画を立てる際に、各短期運用計画の許容範囲に対して前記エネルギー削減のための運用目標分をユーザの要求に合わせて配分する請求項1記載のエネルギー利用支援システム。 The short-term planning means divides the long-term operation plan into the short-term operation plan, and sets the operation target for energy reduction to the user's request for the allowable range of each short-term operation plan. The energy use support system according to claim 1, which is allocated. 前記短期計画立案手段は、前記長期運用計画として一定期間の時期ごとに天候の変化の頻度を配慮し、前記短期運用計画として天候の寒暖の差を配慮して、それぞれエネルギー削減のための運用目標分をユーザの要求に合わせて配分する請求項1記載のエネルギー利用支援システム。 The short-term planning means considers the frequency of weather changes for each period of time as the long-term operation plan, and considers the difference in weather temperature as the short-term operation plan, and each of the operation targets for energy reduction. The energy use support system according to claim 1, wherein the minutes are distributed in accordance with a user's request. さらに、前記短期運用計画に合わせて空調制御データを前記複数のエネルギー利用機器の制御システムに送信して運用に関する制御を連携させる連携手段を備える請求項1記載のエネルギー利用支援システム。 The energy usage support system according to claim 1, further comprising linkage means for transmitting air conditioning control data to the control system of the plurality of energy usage devices in accordance with the short-term operation plan so as to link control related to operation. 前記複数のエネルギー利用機器は、再生可能エネルギーを基にした発電設備を備え、
前記予測手段は、前記発電設備の発電量における過去の実績と前記長期の気象予測から前記発電設備の発電量を予測し、
前記長期計画立案手段は、前記発電設備の発電量予測結果に基づいて前記エネルギー利用機器の長期運用計画を作成する請求項1記載のエネルギー利用支援システム。
The plurality of energy utilization devices include a power generation facility based on renewable energy,
The prediction means predicts the power generation amount of the power generation facility from the past performance in the power generation amount of the power generation facility and the long-term weather prediction,
The energy use support system according to claim 1, wherein the long-term planning means creates a long-term operation plan of the energy-using device based on a power generation amount prediction result of the power generation facility.
複数のエネルギー利用機器それぞれのエネルギー利用量を定期的に計測し、
気象予報を含む気象情報を取得し、
前記エネルギー利用機器のエネルギー利用量計測結果を前記気象情報と共に蓄積し、
前記蓄積された情報に基づく過去の実績と気象予測から前記複数のエネルギー利用機器の長期のエネルギー利用予測を行い、
前記エネルギー利用予測結果からエネルギー削減のための運用目標を決定し、
前記運用目標に基づいて前記複数のエネルギー利用機器それぞれの長期運用計画を作成し、
前記長期運用計画を分割して短期運用計画を作成するものとし、
前記短期計画は、前記短期運用計画を作成する際に、前記計測結果が許容範囲を超えるか否かを予測し、許容範囲を超えると予測される場合には、前記長期運用計画を考慮して、前記短期運用計画を許容範囲に収まるように修正するエネルギー利用支援方法。
Periodically measure the energy usage of each of the multiple energy-using devices,
Get weather information including weather forecast,
Accumulated energy usage measurement results of the energy usage device together with the weather information,
Perform long-term energy use prediction of the plurality of energy using devices from past results and weather prediction based on the accumulated information,
Determine operational targets for energy reduction from the energy use prediction results,
Create a long-term operation plan for each of the plurality of energy utilization devices based on the operation target,
The short-term operation plan shall be created by dividing the long-term operation plan,
When creating the short-term operation plan, the short-term plan predicts whether or not the measurement result exceeds the allowable range, and if the measurement result is predicted to exceed the allowable range, the long-term operation plan is considered. The energy use support method for correcting the short-term operation plan so as to be within an allowable range.
前記短期計画の立案は、前記長期運用計画を分割して前記短期運用計画を立てる際に、各短期運用計画の許容範囲に対して前記エネルギー削減のための運用目標分をユーザの要求に合わせて配分する請求項6記載のエネルギー利用支援方法。 When the short-term plan is divided, the short-term operation plan is divided into the short-term operation plans. The energy use support method according to claim 6, which is allocated. 前記短期計画の立案は、前記長期運用計画として一定期間の時期ごとに天候の変化の頻度を配慮し、前記短期運用計画として天候の寒暖の差を配慮して、それぞれエネルギー削減のための運用目標分をユーザの要求に合わせて配分する請求項6記載のエネルギー利用支援方法。 The planning of the short-term plan considers the frequency of changes in weather for each period of time as the long-term operation plan, and considers the difference in weather temperature as the short-term operation plan. The energy use support method according to claim 6, wherein the minutes are allocated according to the user's request. さらに、前記短期運用計画に合わせて空調制御データを前記複数のエネルギー利用機器の制御システムに送信して運用に関する制御を連携させる請求項6記載のエネルギー利用支援方法。 Furthermore, the energy usage assistance method of Claim 6 which transmits the air-conditioning control data to the control system of these several energy utilization apparatus according to the said short-term operation plan, and cooperates control regarding operation. 前記複数のエネルギー利用機器は、再生可能エネルギーを基にした発電設備を備え、
前記予測手段は、前記発電設備の発電量における過去の実績と前記長期の気象予測から前記発電設備の発電量を予測し、
前記長期計画立案手段は、前記発電設備の発電量予測結果に基づいて前記エネルギー利用機器の長期運用計画を作成する請求項6記載のエネルギー利用支援方法。
The plurality of energy utilization devices include a power generation facility based on renewable energy,
The prediction means predicts the power generation amount of the power generation facility from the past performance in the power generation amount of the power generation facility and the long-term weather prediction,
The energy use support method according to claim 6, wherein the long-term planning means creates a long-term operation plan of the energy-using device based on a power generation amount prediction result of the power generation facility.
コンピュータで実行可能で、複数のエネルギー利用機器それぞれの運用を支援してエネルギー利用量を削減するエネルギー利用支援プログラムであって、前記コンピュータに対する命令として、
前記複数のエネルギー利用機器それぞれのエネルギー利用量を定期的に計測させる計測命令と、
気象予報を含む気象情報を取得させる気象情報取得命令と、
前記計測結果を前記気象情報と共に蓄積させる蓄積命令と、
前記蓄積命令によって蓄積された情報に基づく過去の実績と前記気象情報取得命令によって得られる長期の気象予測から前記複数のエネルギー利用機器の長期のエネルギー利用予測を行わせる予測命令と、
前記予測命令による予測結果からエネルギー削減のための運用目標を決定させる目標決定命令と、
前記運用目標に基づいて前記複数のエネルギー利用機器それぞれの長期運用計画を作成させる長期計画立案命令と、
前記長期運用計画を分割して短期運用計画を作成させる短期計画立案命令と
を具備し、
前記短期計画立案命令は、前記短期運用計画を作成する際に、前記計測結果が許容範囲を超えるか否かを予測させ、許容範囲を超えると予測される場合には、前記長期運用計画を考慮して、前記短期運用計画を許容範囲に収まるように修正させるエネルギー利用支援プログラム。
An energy use support program that can be executed by a computer and that supports the operation of each of a plurality of energy use devices to reduce the amount of energy used.
A measurement instruction for periodically measuring the amount of energy used by each of the plurality of energy using devices;
A weather information acquisition command for acquiring weather information including a weather forecast;
An accumulation command for accumulating the measurement result together with the weather information;
A prediction command for performing a long-term energy usage prediction of the plurality of energy-using devices from a past performance based on the information stored by the storage command and a long-term weather prediction obtained by the weather information acquisition command;
A target determination command for determining an operation target for energy reduction from a prediction result of the prediction command;
A long-term planning instruction for creating a long-term operation plan for each of the plurality of energy utilization devices based on the operation target;
A short-term planning instruction that divides the long-term operation plan and creates a short-term operation plan; and
The short-term planning instruction, when creating the short-term operation plan, predicts whether or not the measurement result exceeds an allowable range, and if it is predicted to exceed the allowable range, the long-term operation plan is considered. An energy utilization support program for correcting the short-term operation plan so as to be within an allowable range.
前記短期計画立案命令は、前記長期運用計画を分割して前記短期運用計画を立てる際に、各短期運用計画の許容範囲に対して前記エネルギー削減のための運用目標分をユーザの要求に合わせて配分させる請求項11記載のエネルギー利用支援プログラム。 When the short-term operation plan divides the long-term operation plan and sets up the short-term operation plan, the operation target for energy reduction is matched with the user's request for the allowable range of each short-term operation plan. The energy use support program according to claim 11, which is distributed. 前記短期計画立案命令は、前記長期運用計画として一定期間の時期ごとに天候の変化の頻度を配慮し、前記短期運用計画として天候の寒暖の差を配慮して、それぞれエネルギー削減のための運用目標分をユーザの要求に合わせて配分させる請求項11記載のエネルギー利用支援プログラム。 The short-term plan drafting instruction considers the frequency of weather changes for each period of time as the long-term operation plan, and considers the difference in weather temperature as the short-term operation plan. The energy use support program according to claim 11, wherein the minutes are distributed according to the user's request. さらに、前記短期運用計画に合わせて空調制御データを前記複数のエネルギー利用機器の制御システムに送信して運用に関する制御を連携させる連携命令を備える請求項11記載のエネルギー利用支援プログラム。 The energy use support program according to claim 11, further comprising a cooperation command for transmitting air conditioning control data to a control system of the plurality of energy use devices in accordance with the short-term operation plan so as to link control related to operation. 前記複数のエネルギー利用機器が、再生可能エネルギーを基にした発電設備を備えるとき、
前記予測命令は、前記発電設備の発電量における過去の実績と前記長期の気象予測から前記発電設備の発電量を予測させ、
前記長期計画立案命令は、前記発電設備の発電量予測結果に基づいて前記エネルギー利用機器の長期運用計画を作成させる請求項11記載のエネルギー利用支援プログラム。
When the plurality of energy utilization devices include a power generation facility based on renewable energy,
The prediction command causes the power generation amount of the power generation facility to be predicted from past results and the long-term weather prediction of the power generation facility,
12. The energy use support program according to claim 11, wherein the long-term planning instruction causes a long-term operation plan of the energy-using device to be created based on a power generation amount prediction result of the power generation facility.
JP2013193466A 2013-09-18 2013-09-18 Energy use support system, support method and support program Expired - Fee Related JP6226367B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2013193466A JP6226367B2 (en) 2013-09-18 2013-09-18 Energy use support system, support method and support program

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2013193466A JP6226367B2 (en) 2013-09-18 2013-09-18 Energy use support system, support method and support program

Publications (2)

Publication Number Publication Date
JP2015061395A true JP2015061395A (en) 2015-03-30
JP6226367B2 JP6226367B2 (en) 2017-11-08

Family

ID=52818541

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2013193466A Expired - Fee Related JP6226367B2 (en) 2013-09-18 2013-09-18 Energy use support system, support method and support program

Country Status (1)

Country Link
JP (1) JP6226367B2 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016021829A (en) * 2014-07-15 2016-02-04 三菱電機ビルテクノサービス株式会社 Power management system and program
JP2022035742A (en) * 2020-08-21 2022-03-04 東京瓦斯株式会社 Demand adjustment server and demand adjustment system
JP2022035741A (en) * 2020-08-21 2022-03-04 東京瓦斯株式会社 Demand adjustment server and demand adjustment system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002271981A (en) * 2001-03-14 2002-09-20 Hitachi Ltd Energy charge unit cost setting method and energy charge unit cost providing service
US20030050738A1 (en) * 2001-05-10 2003-03-13 Stephen Masticola Schedule-based load estimator and method for electric power and other utilities and resources
JP2009131045A (en) * 2007-11-22 2009-06-11 Nippon Telegr & Teleph Corp <Ntt> Distributed energy system and its control method
JP2010022101A (en) * 2008-07-09 2010-01-28 Toshiba Corp Supply and demand controller of small-scale electric power system
JP2012039788A (en) * 2010-08-09 2012-02-23 Mitsubishi Electric Corp Power monitor
JP2013066318A (en) * 2011-09-20 2013-04-11 Hitachi Ltd Power demand prediction system and method
JP2013141331A (en) * 2011-12-28 2013-07-18 Toshiba Corp Power management system and power management method
JP2013156937A (en) * 2012-01-31 2013-08-15 Hitachi Ltd Optimal operation control device of energy network
JP2013172570A (en) * 2012-02-21 2013-09-02 Shimizu Corp Power management apparatus

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002271981A (en) * 2001-03-14 2002-09-20 Hitachi Ltd Energy charge unit cost setting method and energy charge unit cost providing service
US20030050738A1 (en) * 2001-05-10 2003-03-13 Stephen Masticola Schedule-based load estimator and method for electric power and other utilities and resources
JP2009131045A (en) * 2007-11-22 2009-06-11 Nippon Telegr & Teleph Corp <Ntt> Distributed energy system and its control method
JP2010022101A (en) * 2008-07-09 2010-01-28 Toshiba Corp Supply and demand controller of small-scale electric power system
JP2012039788A (en) * 2010-08-09 2012-02-23 Mitsubishi Electric Corp Power monitor
JP2013066318A (en) * 2011-09-20 2013-04-11 Hitachi Ltd Power demand prediction system and method
JP2013141331A (en) * 2011-12-28 2013-07-18 Toshiba Corp Power management system and power management method
JP2013156937A (en) * 2012-01-31 2013-08-15 Hitachi Ltd Optimal operation control device of energy network
JP2013172570A (en) * 2012-02-21 2013-09-02 Shimizu Corp Power management apparatus

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016021829A (en) * 2014-07-15 2016-02-04 三菱電機ビルテクノサービス株式会社 Power management system and program
JP2022035742A (en) * 2020-08-21 2022-03-04 東京瓦斯株式会社 Demand adjustment server and demand adjustment system
JP2022035741A (en) * 2020-08-21 2022-03-04 東京瓦斯株式会社 Demand adjustment server and demand adjustment system

Also Published As

Publication number Publication date
JP6226367B2 (en) 2017-11-08

Similar Documents

Publication Publication Date Title
US10832192B2 (en) Method and system for prioritizing control strategies minimizing real time energy consumption of built environment
CN108292860B (en) Power control device, operation plan making method and recording medium
JP6249895B2 (en) Power control system, method, and power control apparatus
JP6114532B2 (en) Energy management system
JP6720544B2 (en) Photovoltaic power generation prediction method, photovoltaic power generation prediction device, and photovoltaic power generation prediction system
WO2015002092A1 (en) Energy management server, energy management method, and program
US20080046387A1 (en) System and method for policy based control of local electrical energy generation and use
US20100222934A1 (en) System for managing energy at loads
JP5945851B2 (en) Energy management device, energy management system
US20150345812A1 (en) Method and apparatus for selective componentized thermostatic controllable loads
JP2012175825A (en) Power management system
JP6592360B2 (en) Power management method
JP6543145B2 (en) Peak power prediction device, power management system and peak power prediction method
US20150346741A1 (en) Method and apparatus for distributed control of thermostatic electric loads using high-granularity energy usage data
WO2016120995A1 (en) Water heater operation management device, water heater operation management system, and water heater operation management method
JP5970146B1 (en) Power system control method and control system including solar power generation device
Georges et al. A general methodology for optimal load management with distributed renewable energy generation and storage in residential housing
JP2016015857A (en) Electric power control system and electric power controller
JP2015033199A (en) Information processing apparatus and service provision method
JP6116970B2 (en) Energy management system, energy management apparatus, and energy management method
JP6226367B2 (en) Energy use support system, support method and support program
JP2019088151A (en) Hot-water supply device control system and hot-water supply device control method
JP2015097059A (en) Power demand prediction system and power demand prediction method
US11636558B2 (en) Energy management system and energy management method for water supply
JP5780989B2 (en) Equipment controller and distributed power supply system

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20160303

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20161117

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20170110

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20170310

TRDD Decision of grant or rejection written
A711 Notification of change in applicant

Free format text: JAPANESE INTERMEDIATE CODE: A712

Effective date: 20170904

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20170905

A711 Notification of change in applicant

Free format text: JAPANESE INTERMEDIATE CODE: A711

Effective date: 20170905

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20171004

R150 Certificate of patent or registration of utility model

Ref document number: 6226367

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

LAPS Cancellation because of no payment of annual fees