JP2013080419A - Contract value optimization diagnostic method about energy supply for building - Google Patents

Contract value optimization diagnostic method about energy supply for building Download PDF

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JP2013080419A
JP2013080419A JP2011220934A JP2011220934A JP2013080419A JP 2013080419 A JP2013080419 A JP 2013080419A JP 2011220934 A JP2011220934 A JP 2011220934A JP 2011220934 A JP2011220934 A JP 2011220934A JP 2013080419 A JP2013080419 A JP 2013080419A
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peak
scatter diagram
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JP5480221B2 (en
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Akito Yoneda
明人 米田
Fumio Makita
文雄 牧田
Tomio Ishii
富雄 石井
Sakubun Yokota
作文 横田
Keizo Yokoyama
計三 横山
Shinichi Takahashi
慎一 高橋
Eiji Urabe
栄二 浦部
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NTT Urban Development Building Service Corp
Hibiya Engineering Ltd
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Hibiya Engineering Ltd
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Abstract

PROBLEM TO BE SOLVED: To provide a contract value optimization diagnostic method about energy supply for a building, which easily determines propriety of contract relating to energy in the present state for one building, optimizes the contract and improves the energy cost.SOLUTION: By an instantaneous value scatter diagram plotting relation between specific enthalpy of air and the energy amount, an appearance position of a peak value of the energy amount is grasped, corresponding period data is extracted on the basis of the appearance position, and a peak value scatter diagram relating to the appearance time of the peak value is created from a daily variation diagram. The peak value scatter diagram is applied, being compared with a load pattern of a variation parameter of ASHRAE, and is made to correspond to the load pattern to acquire a reference point and a peak point, and three kinds of estimated values of maximum values of the specific enthalpy of air are acquired, on the basis of two kinds of weather data by public information and values of each building at a desired period, and compared with a contract value.

Description

この発明は、建物におけるエネルギー消費状況がエネルギー供給契約との関係で最適な状態にあるか否かを診断し、適切な契約値を求めるための、建物のエネルギー供給についての契約値最適化診断手法に関する。   The present invention relates to a contract value optimization diagnosis method for building energy supply for diagnosing whether or not an energy consumption situation in a building is in an optimum state in relation to an energy supply contract, and obtaining an appropriate contract value. About.

地球環境問題の深刻化は、建物における省エネルギーやエネルギー効率の最適化を推進することを要求している。エネルギー削減を図る上において、種々のエネルギー効率の向上を図ることが要求される。このための手法として、ビルエネルギーマネジメントシステム(Building and Energy Management System、以下「BEMS」と略記する。)が導入され、建物の施設内における空調設備や照明設備等を対象として、室内環境や設備の状況を監視し、それらの運転制御を行うことによって、室内環境とエネルギー消費状況の最適化を図ることで、エネルギー削減が図られている。   Increasing global environmental issues require building energy conservation and energy efficiency optimization in buildings. In order to reduce energy, it is required to improve various energy efficiencies. For this purpose, a building energy management system (hereinafter abbreviated as “BEMS”) has been introduced, and air conditioning equipment and lighting equipment, etc. in the building facilities are targeted. By monitoring the situation and performing their operation control, the indoor environment and the energy consumption situation are optimized to reduce energy.

例えば、特許文献1には、建物で使用されるエネルギーの実績値を目標値以下にするためのビルエネルギー管理装置として、建物で使用されるエネルギーの現時点における実績値を入力し、入力された現時点の実績値と所定期間の目標値とを照合する照合手段と、照合手段による照合結果を月形式の累積グラフ、日形式の累積グラフまたは時間形式の累積グラフのいずれかで、前記所定期間の目標値に対する現時点の状況を表示部に表示させる表示制御手段と、を備えた構成が開示されている。   For example, in Patent Document 1, as a building energy management device for setting the actual value of energy used in a building to a target value or less, the actual value of energy used in the building is input at the present time. A collating means for collating the actual value with a target value for a predetermined period, and the result of the collation by the collating means is a monthly cumulative graph, a daily cumulative graph, or a time cumulative graph. There is disclosed a configuration including display control means for displaying a current state with respect to a value on a display unit.

また、特許文献2には、業務用ビル等の施設におけるエネルギー消費を監視するエネルギー監視装置として、施設内でのエネルギー消費に関するエネルギー消費情報を表示手段に表示するエネルギー監視装置において、所定の計量区分でのエネルギー消費に関する前記エネルギー消費情報を表示する際に、該計量区分を選択するための選択画面であって、上位の階層の計量区分を下位の階層において所定の要素で分別することによって選択可能な計量区分を階層化し、該階層化した各計量区分を選択可能に階層表示した選択画面を前記表示手段に表示させる選択画面表示手段と、前記選択画面表示手段により表示された選択画面において所望の計量区分を選択する選択手段と、前記選択手段により選択された計量区分のエネルギー消費に関するエネルギー消費情報を前記表示手段に表示させるエネルギー消費情報表示手段と、を備えた構成が開示されている。   Patent Document 2 discloses an energy monitoring apparatus that monitors energy consumption in a facility such as a business building, and displays energy consumption information related to energy consumption in the facility on a display means. This is a selection screen for selecting the measurement category when displaying the energy consumption information related to energy consumption in the market, and can be selected by separating the measurement category of the upper hierarchy by predetermined elements in the lower hierarchy A selection screen display means for displaying a selection screen on which the measurement means are hierarchized, and the display means displays a selection screen in which each of the hierarchical measurement sections is selectable, and a desired screen is displayed on the selection screen displayed by the selection screen display means. Selection means for selecting a weighing category, and energy consumption of the weighing category selected by the selection means And energy consumption information display means for displaying the energy consumption information on the display means, is configured to include a disclosed.

また、特許文献3には、施設内の多数の計測器からの膨大な計測データに基づき所望の評価を行うためのグラフ表示が容易に行えるエネルギー管理システムのためのグラフ表示装置として、被計測対象に対して設けられた多数の計測器から得られる計測データに基づいて所望の評価を行うためのグラフ表示を入力手段と表示手段を使用してオペレータと対話的に行う施設内のエネルギー管理を行うエネルギー管理システムのためのグラフ表示装置であって、各軸にそれぞれ計測名称又は時間軸が規定された所望の評価を行うための予め作成された多種の元グラフを格納した元グラフ格納手段と、上記各計測器から送られてくる計測データを蓄積して格納する計測データ蓄積格納手段と、上記元グラフ格納手段に格納されたグラフ一覧表を表示してオペレータに使用するグラフの選定を促す手段と、オペレータにより選定された元グラフの計測名称に関する上記計測データ蓄積手段に格納された計測データを表示しオペレータに上記元グラフの各軸に設定する計測データの選定を促す手段と、上記選定された元グラフおよび計測データによるグラフ表示の実行の指示をオペレータに促しこれに対する指示に従って表示を行うグラフ表示手段と、を備えた構成が開示されている。   Further, Patent Document 3 discloses a measurement target as a graph display device for an energy management system that can easily perform a graph display for performing a desired evaluation based on a large amount of measurement data from a large number of measuring instruments in a facility. The energy management in the facility is performed in which the graph display for performing the desired evaluation based on the measurement data obtained from a large number of measuring instruments provided for is interactively performed with the operator using the input means and the display means. A graph display device for an energy management system, an original graph storage means for storing various original graphs prepared in advance for performing a desired evaluation in which a measurement name or a time axis is defined for each axis; Displays measurement data storage and storage means for storing and storing measurement data sent from each measuring instrument, and a graph list stored in the original graph storage means The measurement data stored in the measurement data storage means relating to the measurement name of the original graph selected by the operator and the measurement data stored in the measurement data storage means are displayed to the operator and set to each axis of the original graph. A configuration is disclosed that includes means for prompting data selection, and graph display means for prompting an operator to instruct execution of graph display using the selected original graph and measurement data, and performing display according to the instruction.

特開2008−236904号公報JP 2008-236904 A 特開2007−199783号公報JP 2007-199783 A 特開2005−259062号公報JP 2005-259062 A

ところで、ビルディング(以下「ビル」と略記する。)の管理を専門に行うビル管理会社等では複数のビル等の建物について管理を行っており、それぞれの建物について室内環境とエネルギー効率の最適化を図ることが行われている。この種の最適化のために、例えば特許文献1に記載されたエネルギー管理装置では、所定期間の目標値が設定され、この目標値と実績値とを照合した照合結果を月形式の累積グラフ等で表示させることが行われている。   By the way, building management companies that specialize in building management (hereinafter abbreviated as “buildings”) manage multiple buildings, etc., and optimize the indoor environment and energy efficiency for each building. Things are going on. For this type of optimization, for example, in the energy management apparatus described in Patent Document 1, a target value for a predetermined period is set, and a collation result obtained by collating the target value with the actual value is displayed in a monthly cumulative graph or the like. It is done to display in.

他方、ビルの室内環境等の最適化を図るためには、それぞれの室について個別にそれぞれの室内環境等を把握する必要がある。また、ビルの立地等によっても室内環境等が異なるから、複数の建物の管理を行っているビル管理会社等は、個別のビル毎についてそれぞれの室の室内環境等を把握することが必要となる。そして、把握した室内環境等のデータをもとにして、室内環境やエネルギー効率の最適化を図るための空調設備や照明設備等の運転の調整を行うことになる。   On the other hand, in order to optimize the indoor environment of a building, it is necessary to grasp the indoor environment of each room individually. Also, because the indoor environment differs depending on the location of the building, etc., building management companies that manage multiple buildings need to understand the indoor environment of each room for each individual building. . Then, based on the grasped data such as the indoor environment, the operation of the air-conditioning equipment and the lighting equipment for adjusting the indoor environment and energy efficiency is adjusted.

ビル管理会社等は、把握した室内環境やエネルギー効率の最適化を図るための空調設備等の運転調整について、建物の所有者に対して説明する。このとき、所有者の理解が容易となるような資料を必要とする。   The building management company, etc., explains to the owner of the building how to adjust the operation of the air conditioner and the like to optimize the grasped indoor environment and energy efficiency. At this time, it is necessary to have materials that make it easier for the owner to understand.

ところで、各ビルにあっては、例えば、電力会社と消費する電力量に関して使用契約を結んでおり、毎月の費用として、契約に基づく基本料金と電力使用量に対する従量性の使用料金とを要している。この場合、基本料金と使用料金との合計料金が適切でない場合には、エネルギーコストに無駄が生じてしまう。このようなエネルギーコストの無駄の有無を容易に判断できれば、エネルギーコストの改善を行える。   By the way, for example, each building has a usage contract with the power company for the amount of power consumed, and the monthly fee requires a basic fee based on the contract and a usage fee with a metered usage rate. ing. In this case, when the total charge of the basic charge and the use charge is not appropriate, energy costs are wasted. If it is possible to easily determine whether such energy costs are wasted, energy costs can be improved.

そこで、この発明は、多くの建物にBEMSが導入されていることに着目して、BEMSで得られた各種の計測データをもとにして、当該建物における消費エネルギーがエネルギー供給についての契約値に関して適切か否かを判断できるようにした建物のエネルギー供給についての契約値最適化診断手法を提供することを目的としている。   Therefore, the present invention pays attention to the fact that BEMS is introduced in many buildings, and based on various measurement data obtained by BEMS, the energy consumption in the building is related to the contract value for energy supply. It is an object of the present invention to provide a contract value optimization diagnostic method for building energy supply that can be judged as appropriate.

前記目的を達成するための技術的手段として、この発明に係る建物のエネルギー供給についての契約値最適化診断手法は、一つの建物についての外気比エンタルピの1時間瞬時値を横軸に、エネルギー量の1時間瞬時値を縦軸に設定した瞬時値散布図と、前記散布図によりピーク値の出現時における外気条件を把握し、前記ピーク値が出現したピーク日の日変動図とを作成し、前記散布図を冷房期あるいは暖房期のいずれかであるかを判定し、前記ピーク日の日変動図からピーク値の出現を時刻ベースで抽出して当該時刻におけるピーク値散布図を作成し、前記ピーク値散布図のパターンをASHRAEの変動パラメータの負荷パターンを参照して当てはめ、当てはめられた前記負荷パターンによって基準点とピーク点とを前記ピーク値散布図に描画し、外気比エンタルピの最高値を少なくとも2つの公的情報に基づく気象データと、各建物の所望期間における最高値との3種類についての推計値を求め、前記基準点とピーク点とから比例配分により前記3種類のデータについての推計値を求めて、契約値との比較することを特徴としている。   As a technical means for achieving the above object, the contract value optimization diagnosis method for energy supply of a building according to the present invention is based on the instantaneous value of enthalpy of outside air ratio for one building on the horizontal axis. An instantaneous value scatter diagram in which the 1-hour instantaneous value is set on the vertical axis, and an outside air condition at the time of appearance of the peak value from the scatter diagram, and a daily fluctuation diagram of the peak day when the peak value appears, It is determined whether the scatter diagram is a cooling period or a heating period, and the peak value scatter diagram at the time is created by extracting the appearance of the peak value from the daily fluctuation diagram of the peak day on a time basis, Fit the pattern of the peak value scatter diagram with reference to the load pattern of the fluctuation parameter of ASHRAE, and draw the reference point and peak point on the peak value scatter diagram by the applied load pattern The maximum value of the outside air ratio enthalpy is obtained by estimating the three types of weather data based on at least two public information and the maximum value in the desired period of each building, and proportionally allocating from the reference point and peak point An estimated value for the three types of data is obtained and compared with a contract value.

BEMSによって各ビルの受電電力や冷水受入、蒸気受入、温水受入等のエネルギー消費量データと、外気乾球温度や外気相対湿度等の外気状態データとを取得する。外気乾球温度と外気相対湿度とから外気比エンタルピの1時間毎のデータであってその瞬時値を求める。またエネルギー量の1時間瞬時値を取得する。なお、エネルギー量は、受入冷水熱量あるいは受入蒸気、受入温水、受電力による。これらの値により、横軸に比エンタルピが、縦軸にエネルギー量が設定された瞬時値散布図を描く。この瞬時値散布図によってピーク値が出現した時点における外気条件を把握することで、該ピーク値の出現の時期が冷房期であるか暖房期であるかを判定する。この判定は、外気比エンタルビが高い時期にピーク値が出現する場合には冷房期と、低い時期に出現する場合には暖房期と判定し、ピーク値の出現した日の日変動からピークの発生時刻を特定する。なお、冬期の空調の立ち上がり時にピーク値が出現する場合には、8:00〜16:00のデータを抽出し、夏期の午後にピーク値が出現する場合には10:00〜16:00のデータを抽出し、当該時刻におけるピーク値散布図を作成する。   Energy consumption data such as received power, cold water reception, steam reception, and hot water reception for each building and outside air state data such as outside air dry bulb temperature and outside air relative humidity are acquired by BEMS. From the outside air dry bulb temperature and the outside air relative humidity, it is the hourly data of the outside air ratio enthalpy and its instantaneous value is obtained. Also, an hourly instantaneous value of energy is acquired. Note that the amount of energy depends on the amount of heat received from the cold water, the received steam, the received hot water, and the received power. With these values, an instantaneous value scatter diagram is drawn with the specific enthalpy on the horizontal axis and the energy amount on the vertical axis. By grasping the outside air condition at the time when the peak value appears from this instantaneous value scatter diagram, it is determined whether the time of appearance of the peak value is the cooling period or the heating period. This determination is made when the peak value appears at a time when the outside air ratio enthalpy is high, and when it appears at a low time, it is determined as the heating period, and the peak occurs from the daily fluctuation of the day when the peak value appears. Specify the time. If the peak value appears at the start of air conditioning in winter, data from 8:00 to 16:00 is extracted, and if the peak value appears in the summer afternoon, the data from 10:00 to 16:00 Data is extracted and a peak value scatter diagram at the time is created.

前記ピーク値散布図を、ASHRAE(アメリカ暖房冷凍空調学会:American Society of Heating, Refrigerating and Air-Conditioning Engineers)の変動パラメータの負荷パターンを参照して、いずれの負荷パターンに近似するかを当てはめる。当てはめた負荷パターンに基づいて基準点とピーク点とを確定する。   The peak value scatter diagram is applied to which load pattern is approximated by referring to the load pattern of the variation parameter of ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers). A reference point and a peak point are determined based on the applied load pattern.

一方、契約値が適正か否かを判断にようする推計値を求めるために、外気条件を想定する必要がある。この外気条件の想定には、各ビルの適宜な期間におけるBEMSデータと、公的な気象情報に基づくデータを用いる。公的情報による気象データとしては、例えば、拡張AMeDAS標準年気象データや拡張AMeDAS所望期間のデータ等を用い、これら各データの最高値の3種類について推計値を求める。   On the other hand, in order to obtain an estimated value for determining whether or not the contract value is appropriate, it is necessary to assume an outside air condition. For the assumption of this outdoor air condition, BEMS data for an appropriate period of each building and data based on public weather information are used. As weather data based on public information, for example, extended AMeDAS standard year weather data, extended AMeDAS desired period data, and the like are used, and estimated values are obtained for the three types of maximum values of these data.

前記基準点とピーク点とから比例配分で前記3種類の最高値データについて推計値を求め、契約値が適正か否かを判断する。   Estimated values are obtained for the three types of maximum value data by proportional distribution from the reference point and the peak point, and it is determined whether or not the contract value is appropriate.

また、請求項2の発明に係る建物のエネルギー供給についての契約値最適化診断手法は、一つの建物についての外気比エンタルピの1時間瞬時値を横軸に、照明コンセント系統の1時間瞬時値を縦軸に設定した瞬時値散布図を作成し、前記瞬時散布図に所望時間における瞬時値を描画し、前記描画したデータの一次近似式と、該データの標準偏差を求め、前記一次近似式の定数項に標準偏差を加算して閾式を求め、前記閾式によって当該建物の照明コンセント消費電力を監視することを特徴としている。   Further, the contract value optimization diagnosis method for building energy supply according to the invention of claim 2 uses the hourly instantaneous value of the outside air ratio enthalpy for one building as the horizontal axis and the hourly instantaneous value of the lighting outlet system. Create an instantaneous value scatter diagram set on the vertical axis, draw an instantaneous value at a desired time on the instantaneous scatter diagram, obtain a primary approximation formula of the drawn data and a standard deviation of the data, A standard expression is added to the constant term to obtain a threshold expression, and the power consumption of the lighting outlet of the building is monitored by the threshold expression.

この発明に係る建物のエネルギー供給についての契約値最適化診断手法によれば、ビル管理会社等は管理の対象となっているビル等の建物について、電力使用等のエネルギー供給に関して使用しているエネルギーとの比較を、ピーク値散布図等を参照しながら行うことにって、エネルギー需給についての契約が適正か否かを容易に判断することができる。そして、この判断に基づいて、当該建物の所有者にエネルギーコストにつていの改善を前記ピーク値散布図等を参照しながら説明することにより、契約の見直し等の有効性について容易に理解することができる。   According to the contract value optimization diagnostic method for building energy supply according to the present invention, the building management company etc. uses the energy used for energy supply such as power usage for buildings such as buildings subject to management. It is possible to easily determine whether or not the contract for energy supply and demand is appropriate by performing comparison with reference to a peak value scatter diagram or the like. Based on this judgment, the improvement of the energy cost is explained to the owner of the building with reference to the peak value scatter diagram, etc., so that the effectiveness of the review of the contract can be easily understood. Can do.

この発明に係る建物のエネルギー供給についての契約値最適化診断手法による診断手順を説明するフローチャートである。It is a flowchart explaining the diagnostic procedure by the contract value optimization diagnostic method about the energy supply of the building which concerns on this invention. この契約値最適化診断手法に供する瞬時値散布図である。It is an instantaneous value scatter diagram used for this contract value optimization diagnostic method. 図2に示す瞬時値散布図によるピーク値が出現した日の日変動を例示する日変動図である。FIG. 3 is a daily fluctuation diagram illustrating daily fluctuation of a day when a peak value appears in the instantaneous value scatter diagram shown in FIG. 2. 図3に示すピーク値の出現日についてピーク値の出現時刻に関して抽出したピーク値散布図である。It is the peak value scatter diagram extracted regarding the appearance time of the peak value about the appearance date of the peak value shown in FIG. ASHRAEによる負荷パターンの図である。It is a figure of the load pattern by ASHRAE. 図3に示すピーク値散布図を図5に示すASHRAEの負荷パターンと照合させて確定した基準点とピーク点とを追記したピーク値散布図である。FIG. 6 is a peak value scatter diagram in which reference points and peak points determined by collating the peak value scatter diagram shown in FIG. 3 with the ASHRAE load pattern shown in FIG. 5 are added. 前記基準点とピーク点、公的情報に係る気象データとを参酌して求めた推計値を示すピーク値散布図である。It is a peak value scatter diagram which shows the estimated value calculated | required in consideration of the said reference point, a peak point, and the weather data concerning public information. この発明に係る建物のエネルギー供給についての契約値最適化診断手法により、照明コンセント消費電力についての診断手法に係る散布図である。It is a scatter diagram which concerns on the diagnostic method about lighting outlet power consumption by the contract value optimization diagnostic method about the energy supply of the building which concerns on this invention.

以下、例示した好ましい実施の形態に基づいて、この発明に係る建物のエネルギー供給についての契約値最適化診断手法を具体的に説明する。なお、診断に資するための図を描くために必要なデータは、前記BEMSによって取得されるものであり、受電電力情報や冷水受入情報、蒸気受入情報、温水受入情報、外気乾球温度、外気相対湿度である。   Hereinafter, based on the illustrated preferred embodiment, a contract value optimization diagnosis method for energy supply of a building according to the present invention will be specifically described. The data necessary for drawing a diagram to contribute to the diagnosis is acquired by the BEMS, and includes received power information, cold water reception information, steam reception information, hot water reception information, outdoor air dry bulb temperature, outdoor air relative Humidity.

図1にはこの発明に係る建物のエネルギー供給についての契約値最適化診断手法の診断手順のフローチャートを示してあり、このフローチャートに基づいて説明する。   FIG. 1 shows a flowchart of a diagnostic procedure of a contract value optimization diagnostic method for building energy supply according to the present invention, which will be described based on this flowchart.

該当する建物についてBEMSにより取得された各種のデータより、エネルギー量(受入冷水熱量、受入蒸気、受入温水、受電力)と外気条件との散布図を作成する(ステップ101)。この散布図は、外気乾球温度と外気相対湿度とから外気比エンタルピを求め、その1時間瞬時値を横軸に、エネルギー量の1時間瞬時値を縦軸に設定した瞬時値散布図として作成される。図2はこの瞬時値散布図を示しており、エネルギー量としては地冷からの受け入れ冷水熱量を採用している。   A scatter diagram of the amount of energy (accepted cold water heat, received steam, received hot water, received power) and outside air conditions is created from various data acquired by the BEMS for the corresponding building (step 101). This scatter diagram is created as an instantaneous value scatter diagram in which the outside air ratio enthalpy is calculated from the outside air dry bulb temperature and the outside air relative humidity, and the 1 hour instantaneous value is set on the horizontal axis and the 1 hour instantaneous value of the energy amount is set on the vertical axis. Is done. FIG. 2 shows this instantaneous value scatter diagram, and the amount of energy received from the ground cooling is adopted as the amount of energy.

前記瞬時散布図からピーク値がどのような外気条件の際に出現するかを判別し(ステップ102)、外気比エンタルピが高い時期に出現する場合(ステップ102/YES)には冷房期を抽出し(ステップ103)、外気比エンタルピが低い時期に出現する場合(ステップ102/NO)には暖房期のデータを抽出する必要がある(ステップ104)。   From the instantaneous scatter diagram, it is determined under what outdoor air conditions the peak value appears (step 102). When the outdoor air ratio enthalpy appears at a high time (step 102 / YES), the cooling period is extracted. (Step 103) When the outside air ratio enthalpy appears at a low time (Step 102 / NO), it is necessary to extract the data of the heating period (Step 104).

図2においてはピーク値が外気比エンタルピの高い時期に出現しているため、冷房期のデータを抽出する必要があり(ステップ105)、このピーク値が出現したピーク日の日変動を図3に示してある。次に、このピーク値が出現する状況が、空調立ち上がり時にあるか否かを判断する(ステップ106)。冬期の空調の立ち上がり時にピーク値が出現するような場合(ステップ106/YES)には8:00〜16:00の暖房期のデータを抽出し(ステップ107)、夏期の午後に空調のピーク値が出現するような場合(ステップ106/NO)には10:00〜16:00の冷房期のデータを抽出する(ステップ108)。   In FIG. 2, since the peak value appears at a time when the outside air enthalpy is high, it is necessary to extract data during the cooling period (step 105), and the daily fluctuation of the peak day when this peak value appears is shown in FIG. It is shown. Next, it is determined whether or not the situation in which this peak value appears is when the air conditioning is started (step 106). When the peak value appears at the start of air conditioning in winter (step 106 / YES), the data for the heating period from 8:00 to 16:00 is extracted (step 107), and the peak value of the air conditioning in the summer afternoon In the case where appears, the data of the cooling period from 10:00 to 16:00 is extracted (step 108).

図4は図2に示した瞬時値散布図より冷房期のデータ(10:00〜16:00)のデータを抽出したピーク値散布図である。このピーク値散布図のパターンを、図5に示す、ASHRAEの変動パラメータの負荷パターンを参照して、いずれの負荷パターンに近似するかを当てはめる(ステップ109)。   FIG. 4 is a peak value scatter diagram obtained by extracting data of the cooling period data (10:00 to 16:00) from the instantaneous value scatter diagram shown in FIG. The load pattern of the peak value scatter diagram is approximated by referring to the load pattern of the fluctuation parameter of ASHRAE shown in FIG. 5 (step 109).

ASHRAEのデータに当てはめた負荷パターンによって基準点とピーク点とを確定する(ステップ109)。例えば、図4に示すピーク値散布図においては、ピーク点は同図における最大エネルギー消費量の出現した比エンタルピの点とし、基準点は最低の比エンタルビのエネルギー消費量の点とする。この点を描画したものを図6に示してある。   A reference point and a peak point are determined by the load pattern applied to the ASHRAE data (step 109). For example, in the peak value scatter diagram shown in FIG. 4, the peak point is a specific enthalpy point where the maximum energy consumption appears in the figure, and the reference point is the lowest specific enthalpy energy consumption point. A drawing of this point is shown in FIG.

次に、推計値を求める。この場合に、外気条件を想定する必要がある。この外気条件の想定には、公的情報による気象データを使用し、例えば、拡張AMeDAS標準年気象データの最高値(推計値(1))と拡張AMeDAS1991-2000年データの最高値(推計値(2))と各建物に関して取得された2007年度のBEMSデータの最高値(推計値(3))の3種類のデータについて推定値を求める。前記ピーク値と基準値とから比例配分で、前記3種類のデータについて推計値を求める(ステップ110)。その結果を図7に示してある。また、同図には契約値と設計値とを併記してある。   Next, an estimated value is obtained. In this case, it is necessary to assume an outside air condition. For the assumption of this outside air condition, weather data based on public information is used. For example, the maximum value of the extended AMeDAS standard year weather data (estimated value (1)) and the maximum value of the extended AMeDAS 1991-2000 data (estimated value ( 2)) and the highest value (estimated value (3)) of the 2007 BEMS data acquired for each building, estimate values are obtained. Estimated values are obtained for the three types of data by proportional distribution from the peak value and the reference value (step 110). The result is shown in FIG. In the figure, the contract value and the design value are also shown.

現状冷熱の契約値は22,604[MJ/h]であり、推計値(1)から求められた冷熱量は23,220[MJ/h]推計値(2)からは24,681[MJ/h]推計値(3)からは24,643[MJ/h]となっており、現在のところ現状契約値を推測値がいずれも上回っており、外気温度の上昇があった場合将来的に現状契約値を超える恐れがあるため、契約値の低減は難しいと判断する。   The contract value of the current cold energy is 22,604 [MJ / h], and the amount of heat obtained from the estimated value (1) is 23,220 [MJ / h] from the estimated value (2) to 24,681 [MJ / h] (3 ) Is 24,643 [MJ / h]. Currently, the estimated value exceeds the current contract value, and if the outside air temperature rises, the current contract value may be exceeded in the future. Judge that it is difficult to reduce contract value.

次に、図8を参照して、照明コンセント消費電力について受入エネルギー契約値の契約値最適化診断について説明する。   Next, with reference to FIG. 8, the contract value optimization diagnosis of the accepted energy contract value for the lighting outlet power consumption will be described.

図8は、外気乾球温度と外気相対湿度から導き出した外気比エンタルピ1時間瞬時値を横軸に、照明コンセント系統の1時間瞬時値を縦軸に設定した瞬時値散布図である。この瞬時値散布図に、平日コアタイム(10:00〜16:00)のうちの12:00〜13:00のデータを除いた値を描画する。描画されたデータに対して一次近似式を求めると共に、同データの標準偏差を求める。   FIG. 8 is an instantaneous value scatter diagram in which the outside air ratio enthalpy 1 hour instantaneous value derived from the outside air dry bulb temperature and the outside air relative humidity is set on the horizontal axis, and the 1 hour instantaneous value of the lighting outlet system is set on the vertical axis. In this instantaneous value scatter diagram, values excluding data from 12:00 to 13:00 of the weekday core time (10:00 to 16:00) are drawn. A primary approximation formula is obtained for the drawn data, and a standard deviation of the data is obtained.

前記一次近似式の定数項に標準偏差を加算したものを閾式として建物データを監視する。そして、照明コンセント消費電力がこの閾式により求めた値と大きく異なる状況となった場合には受入エネルギー契約値の再検討を行うようにする。   Building data is monitored using a threshold expression that is obtained by adding a standard deviation to the constant term of the first-order approximation. When the lighting outlet power consumption is significantly different from the value obtained by this threshold expression, the acceptance energy contract value is reviewed.

この発明に係る建物のエネルギー供給についての契約値最適化診断手法によれば、現状の契約内容の適否を容易に判断でき、エネルギーコストの適正化を図って、エネルギー効率の最適化に寄与し、地球環境問題の解決に寄与する。   According to the contract value optimization diagnosis method for energy supply of buildings according to the present invention, it is possible to easily determine the suitability of the current contract content, to optimize the energy cost, contribute to the optimization of energy efficiency, Contributes to solving global environmental problems.

Claims (2)

一つの建物についての外気比エンタルピの1時間瞬時値を横軸に、エネルギー量の1時間瞬時値を縦軸に設定した瞬時値散布図と、
前記散布図によりピーク値の出現時における外気条件を把握し、
前記ピーク値が出現したピーク日の日変動図とを作成し、
前記散布図を冷房期あるいは暖房期のいずれかであるかを判定し、
前記ピーク日の日変動図からピーク値の出現を時刻ベースで抽出して当該時刻におけるピーク値散布図を作成し、
前記ピーク値散布図のパターンをASHRAEの変動パラメータの負荷パターンを参照して当てはめ、
当てはめられた前記負荷パターンによって基準点とピーク点とを前記ピーク値散布図に描画し、
外気比エンタルピの最高値を少なくとも2つの公的情報に基づく気象データと、各建物の所望期間における最高値との3種類についての推計値を求め、
前記基準点とピーク点とから比例配分により前記3種類のデータについての推計値を求めて、契約値との比較することを特徴とする建物のエネルギー供給についての契約値最適化診断手法。
An instantaneous value scatter chart with the horizontal axis representing the hourly instantaneous value of the outside air enthalpy for one building and the vertical axis representing the hourly instantaneous value of energy;
Understand the outdoor air conditions at the time of the appearance of the peak value from the scatter diagram,
Create a daily fluctuation diagram of the peak day when the peak value appears,
Determine whether the scatter diagram is in the cooling or heating period,
Extract the appearance of the peak value from the daily fluctuation chart of the peak day on a time basis to create a peak value scatter chart at the time,
Fit the pattern of the peak value scatter diagram with reference to the load pattern of the fluctuation parameter of ASHRAE,
Draw a reference point and a peak point in the peak value scatter diagram according to the applied load pattern,
Obtain the estimated value for three types of weather data based on at least two public information and the highest value of each building for the desired period for the highest value of the outside air ratio enthalpy,
A contract value optimization diagnosis method for energy supply of a building, wherein estimated values for the three types of data are obtained from the reference points and peak points by proportional distribution and compared with contract values.
一つの建物についての外気比エンタルピの1時間瞬時値を横軸に、照明コンセント系統の1時間瞬時値を縦軸に設定した瞬時値散布図を作成し、
前記瞬時散布図に所望時間における瞬時値を描画し、
前記描画したデータの一次近似式と、該データの標準偏差を求め、
前記一次近似式の定数項に標準偏差を加算して閾式を求め、
前記閾式によって当該建物の照明コンセント消費電力を監視することを特徴とする建物のエネルギー供給についての契約値最適化診断手法。
Create an instantaneous value scatter diagram with the hourly instantaneous value of the outside air ratio enthalpy for one building set on the horizontal axis and the hourly instantaneous value of the lighting outlet system on the vertical axis,
Draw the instantaneous value at the desired time in the instantaneous scatter diagram,
Obtain a linear approximation of the drawn data and the standard deviation of the data,
Adding a standard deviation to the constant term of the linear approximation formula to obtain a threshold formula;
A contract value optimization diagnosis method for energy supply of a building, wherein the power consumption of the lighting outlet of the building is monitored by the threshold formula.
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JP2001336805A (en) * 2000-05-26 2001-12-07 Minoru Tanaka Method of calculating demand for energy of heat source system of building and method of drawing up scheme of optimum operation of the system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108090663A (en) * 2017-12-11 2018-05-29 囯网河北省电力有限公司电力科学研究院 The appraisal procedure and system of thermal power plant unit depth peak regulation minimum output
CN108090663B (en) * 2017-12-11 2020-06-26 囯网河北省电力有限公司电力科学研究院 Evaluation method and system for deep peak shaving minimum output of heat supply unit

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