JPH01271602A - Power generation efficiency prediction calculation device - Google Patents
Power generation efficiency prediction calculation deviceInfo
- Publication number
- JPH01271602A JPH01271602A JP9670588A JP9670588A JPH01271602A JP H01271602 A JPH01271602 A JP H01271602A JP 9670588 A JP9670588 A JP 9670588A JP 9670588 A JP9670588 A JP 9670588A JP H01271602 A JPH01271602 A JP H01271602A
- Authority
- JP
- Japan
- Prior art keywords
- efficiency
- predicted
- power generation
- load
- monthly
- 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.)
- Pending
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 46
- 238000011056 performance test Methods 0.000 claims abstract description 7
- FFBHFFJDDLITSX-UHFFFAOYSA-N benzyl N-[2-hydroxy-4-(3-oxomorpholin-4-yl)phenyl]carbamate Chemical compound OC1=C(NC(=O)OCC2=CC=CC=C2)C=CC(=C1)N1CCOCC1=O FFBHFFJDDLITSX-UHFFFAOYSA-N 0.000 abstract description 7
- 239000000446 fuel Substances 0.000 abstract description 5
- 238000000034 method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000013535 sea water Substances 0.000 description 2
- 230000003749 cleanliness Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- BTCSSZJGUNDROE-UHFFFAOYSA-N gamma-aminobutyric acid Chemical compound NCCCC(O)=O BTCSSZJGUNDROE-UHFFFAOYSA-N 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Landscapes
- Feedback Control In General (AREA)
Abstract
Description
【発明の詳細な説明】
〔発明の目的〕
（産業上の利用分野）
この発明は、中間負荷型運用がなされる例えば火力発電
所の発電効率を予測するに好適な発電効率予測計算装置
に関する。DETAILED DESCRIPTION OF THE INVENTION [Object of the Invention] (Industrial Application Field) The present invention relates to a power generation efficiency prediction calculation device suitable for predicting the power generation efficiency of, for example, a thermal power plant operated in an intermediate load type.
（従来の技術）
火力発電所の効率管理は、発電所の燃料消費拳や発電機
出力等の運転状態値から、その時点における発電効率を
計算し、この発電効率に基づいて実施されている。特に
、月毎の発電効率つまり月間効率の予測に関しては、年
に数回行なわれる性能試験の結果から負荷効率曲線を求
め、中央給電指令所等から与えられる負荷率予測値を上
記負荷効率曲線に単純にあてはめて月間効率を求め、こ
の月間効率の値を月間効率予測値としている。(Prior Art) Efficiency management of a thermal power plant is carried out based on the power generation efficiency calculated at that point in time based on operating status values such as fuel consumption of the power plant and generator output. In particular, when it comes to predicting monthly power generation efficiency, that is, monthly efficiency, a load efficiency curve is calculated from the results of performance tests conducted several times a year, and the predicted load factor given by the central dispatch center etc. is applied to the above load efficiency curve. The monthly efficiency is determined by simple application, and this monthly efficiency value is used as the predicted monthly efficiency value.
（発明が解決しようとする課題）
しかしながら、近年では、火力発電所の運用形態は、２
４時間はぼ一定の負荷で運転を行なうベース負荷型運用
から、毎日の起動停止が容易な中間負荷型運用へと変化
を遂げている。そのため、負荷と発電効率との関係も日
毎に変化している。(Problem to be solved by the invention) However, in recent years, the operating mode of thermal power plants has been
The system has undergone a change from base-load operation, in which it operates at a constant load for four hours, to intermediate-load operation, where it is easy to start and stop it every day. Therefore, the relationship between load and power generation efficiency also changes every day.
さらに、発電効率は、例えば大気温度、海水温度あるい
は燃料清浄等の外的条件によって影響を受ける。従来の
火力発電所の効率管理では、上述のような日毎の負荷変
動や外的条件の変化を考慮していないので、効率管理の
精度が低いという問題点がある。Furthermore, power generation efficiency is affected by external conditions such as atmospheric temperature, seawater temperature, or fuel cleanliness. Conventional efficiency management of thermal power plants does not take into account daily load fluctuations or changes in external conditions as described above, so there is a problem that efficiency management accuracy is low.
この発明は上記事実を考慮してなされたものであり、実
際の運用状態に近い発電効率予測値を算出して、発電所
の効率管理を高精度に行なうことができる発電効率予測
計算装置を提供することを目的とする。This invention has been made in consideration of the above facts, and provides a power generation efficiency prediction calculation device that can calculate a power generation efficiency prediction value close to the actual operating state and manage the efficiency of a power plant with high precision. The purpose is to
（課題を解決するための手段）
この発明は、予測外的条件、性能試験結果から得られる
負荷効率曲線、並びに各負荷およびその各負荷毎の負荷
運用時間比率をそれぞれ入力する入力部と、上記負荷効
率曲線に上記予測外的条件を考慮して予測基準負荷効率
曲線を求め、この予測基準負荷効率曲線と上記各負荷お
よび上記負荷運用時間比率とから発電効率予測値を算出
する演算部とを有して構成されたことを特徴とするもの
である。(Means for Solving the Problems) The present invention includes an input unit for inputting predicted external conditions, a load efficiency curve obtained from performance test results, each load and the load operation time ratio for each load, and a calculation unit that calculates a predicted standard load efficiency curve by considering the predicted external conditions in the load efficiency curve, and calculates a predicted value of power generation efficiency from this predicted standard load efficiency curve, each of the loads described above, and the load operation time ratio; It is characterized by having the following features.
（作用）
したがって、この発明に係る発電効率予測計算装置によ
れば、性能試験結果から得られる負荷効率曲線から直ち
に発電効率予測値を求めるのではなく、発電効率の変動
に影響を及ぼす予測外的条件や予測負荷運用時間比率を
も考慮して発電効率予測値を算出するので、実際の運用
状態に近い発電効率を予測でき、発電所の効率管理を高
精度にて行なうことができる。(Function) Therefore, according to the power generation efficiency prediction calculation device according to the present invention, the power generation efficiency prediction value is not immediately obtained from the load efficiency curve obtained from the performance test result, but the power generation efficiency prediction calculation device Since the predicted value of power generation efficiency is calculated taking into account the conditions and the predicted load operation time ratio, it is possible to predict power generation efficiency close to the actual operating state, and to manage the efficiency of the power plant with high precision.
（実施例） 以下、この発明の実施例を図面に基づいて説明する。(Example) Embodiments of the present invention will be described below based on the drawings.
第１図はこの発明に係る発電効率予測計算装置の一実施
例を示すブロック図である。FIG. 1 is a block diagram showing an embodiment of a power generation efficiency prediction calculation device according to the present invention.
火力発電所等の火力発電プロセス１における運転データ
は、プラント監視制御装置２によって収集される。収集
された運転データのうち過去の実際の各負荷およびその
負荷毎の運用時間比率（例えば前年同月実績）が、過去
の実績負荷運用実績比率（％）ｄとして発電効率予測計
算装置４に入力される。この発電効率予測計算装置４は
入力部５、演算部６、記憶部７および出力部８を有して
構成される。Operation data in a thermal power generation process 1 such as a thermal power plant is collected by a plant monitoring and control device 2 . Among the collected operation data, each past actual load and the operating time ratio for each load (for example, the same month result in the previous year) are input into the power generation efficiency prediction calculation device 4 as the past actual load operating performance ratio (%) d. Ru. This power generation efficiency prediction calculation device 4 includes an input section 5, a calculation section 6, a storage section 7, and an output section 8.
このうち、入力部５は手入力データＣ１負荷効率曲線ａ
および月間予測外的条件す等を入力するものである。手
入力データＣは、操作者が火力発電プロセス１における
各負荷毎の運用時間比率（％）を設定するためのデータ
であり、具体的には火力発電プロセス１における過去の
運転データである。また、負荷効率曲線ａは、−年に数
回行なわれる性能試験の結果から得られるデータである
。さらに、月間予測外的条件すは、各月毎の大気温度、
海水温度および′燃料性状等の外的条件であり、発電効
率の変動要因の１つとなるデータである。Among these, input section 5 inputs manually input data C1 load efficiency curve a
and monthly forecast external conditions. The manual input data C is data for the operator to set the operating time ratio (%) for each load in the thermal power generation process 1, and specifically is past operation data in the thermal power generation process 1. Further, the load efficiency curve a is data obtained from the results of performance tests conducted several times every year. Furthermore, the monthly predicted external conditions are the atmospheric temperature for each month,
These are external conditions such as seawater temperature and fuel properties, and are data that are one of the factors that change power generation efficiency.
演算部６は３つの主要な演算を実行する。その。The calculation unit 6 executes three main calculations. the.
１つは、第２図に示すように、予測基準内筒効率曲線ｅ
の算出である。この予測基準負荷効率曲線ｅは、入力部
５に入力された負荷効率曲線ａの幾つかの効率データ（
例えば１／４．２／４．３／４．４／４の各負荷のデー
タ）を、同じく入力部５に入力された月間予測外的条件
すを用いて補正し、各負荷における予測基準効率を計算
して予測基準負荷効率曲線ｅを算出する。One is the predicted standard inner cylinder efficiency curve e, as shown in FIG.
This is the calculation. This prediction reference load efficiency curve e is based on some efficiency data (
For example, the data for each load (1/4.2/4.3/4.4/4) is corrected using the monthly forecast external conditions also input to the input section 5, and the predicted standard efficiency for each load is corrected. is calculated to calculate the predicted standard load efficiency curve e.
次に、演算部６の第２の演算は、予測負荷運用時間比率
での算出である。この予測負荷運用時間比率ｆの算出は
２通りの手法があり、まず第１の手法は操作者の操作に
従って実行される。つまり、操作者は、火力発電プロセ
ス１における過去の運転データ（手入力データＣ）に基
づいて、負荷を例えば１０段階に分割して設定し、各負
荷毎の運用時間比率（％）を設定する。この場合、上記
各負荷毎の運用時間比率が予測負荷運用時間比率ｆとな
る。また、第２の手法は、プラント監視制御ｖ装置２か
ら発電効率予測計算装置４の入力部５へ直接入力された
火力発電プロセス１における過去の実際の負荷および各
負荷毎の運用時間比率を、予測負荷運用時間比率でとす
るものである。予測負荷運用時間比率ｆは、上記第１お
よび第２のいずれかの手法によって演算されたもののう
ち１つが選択される。Next, the second calculation performed by the calculation unit 6 is calculation based on the predicted load operation time ratio. There are two methods for calculating the predicted load operation time ratio f, and the first method is executed according to the operator's operation. That is, the operator divides and sets the load into, for example, 10 stages based on past operation data (manual input data C) in thermal power generation process 1, and sets the operating time ratio (%) for each load. . In this case, the operating time ratio for each load becomes the predicted load operating time ratio f. In addition, the second method uses the past actual loads and operating time ratios for each load in the thermal power generation process 1 that are directly input from the plant monitoring and control device 2 to the input unit 5 of the power generation efficiency prediction calculation device 4. It is based on the predicted load operating time ratio. As the predicted load operating time ratio f, one of those calculated by either the first or second method is selected.
演算部６における第３の演算は、発電効率予測値として
の月間効率予測値Ｑの算出である。この月刊効率予測値
９の算出では、まず、予測基準負荷効率曲線ｅから各負
荷（例えばＮ等分した場合１／Ｎ、２／Ｎ、・・・Ｎ／
Ｎの各負荷）毎に予測効率りを求める。次に、予測負荷
運用時間比率ｆから予測負荷率ｉを次式■によって求め
る。The third calculation in the calculation unit 6 is calculation of a monthly efficiency prediction value Q as a power generation efficiency prediction value. In calculating this monthly efficiency prediction value 9, first, from the prediction standard load efficiency curve e, each load (for example, if divided into N equal parts, 1/N, 2/N, . . . N/
The predicted efficiency is calculated for each load (N). Next, the predicted load factor i is determined from the predicted load operation time ratio f using the following equation (2).
ここで、α は、Ｎ１等分して分割された負荷のうち１
番目の負荷を示し、ｆｌはその負荷における運用時間比
率を示す。以下、添字は上述のように負荷の番号を示す
。さらに、次式■によって月間効率予測値ｑを算出する
。Here, α is 1 of the load divided into N1 equal parts.
The second load is indicated, and fl indicates the operating time ratio for that load. Hereinafter, the subscript indicates the load number as described above. Furthermore, the monthly efficiency prediction value q is calculated using the following formula (■).
１（Ｊ４ このようにして月間効率予測値Ｑを求める。1 (J4 In this way, the monthly efficiency prediction value Q is determined.
第１図中の記憶部７は、入力部５に入力されたデータや
演算部６の演算結果を記憶する。また、出力部８は、演
算部６の演算結果をＣＲＴ （Ｃａｔｈ−ｏｄｅ Ｒａ
ｙ 丁ｕｂｅ）表示あるいは液晶表示し、またはプリン
タ出力する。The storage section 7 in FIG. 1 stores the data input to the input section 5 and the calculation results of the calculation section 6. Further, the output unit 8 outputs the calculation result of the calculation unit 6 to a CRT (Cath-ode Ra).
y display) or liquid crystal display, or output to a printer.
このように上記実施例によれば、性能試験結果から得ら
れる負荷曲率曲線ａを用いて直ちに発電効率予測値を求
めるのではなく、月毎の発電効率の変動に影響を及ぼす
月間予測外的条件すと上記負荷効率曲線ａとから予測基
準負荷効率曲線ｅを求め、さらにこの予測基準負荷効率
曲線ｅに予測負荷運用時間比率ｆを考慮して月間効率予
測値ｑを算出するので、実際の運用状態に近い月間効率
を予測できる。その結果、発電所の効率管理を高精度に
実行できる。また、月間効率の予測値が高精度に算出で
きるので、燃料消費熱量と発電原価の予測管理を高精度
に実施でき、火力発電プロセス１の運用効率を向上させ
ることができる。In this way, according to the above embodiment, instead of immediately calculating the power generation efficiency predicted value using the load curvature curve a obtained from the performance test results, the monthly prediction external conditions that affect monthly power generation efficiency fluctuations are calculated. Then, a predicted standard load efficiency curve e is determined from the above-mentioned load efficiency curve a, and the predicted monthly efficiency value q is calculated by considering the predicted load operation time ratio f to this predicted standard load efficiency curve e, so that the actual operation Monthly efficiency can be predicted close to the state. As a result, power plant efficiency management can be performed with high precision. Moreover, since the predicted value of monthly efficiency can be calculated with high precision, the predicted management of fuel consumption heat and power generation cost can be carried out with high precision, and the operational efficiency of the thermal power generation process 1 can be improved.
なお、上記実施例では、月間の発電効率予測値つまり月
間効率予測値を算出するものにつき説明したが、週間ま
たは年間等一定期間の発電効率予測値を求める場合にも
適用できる。In addition, although the above-mentioned example explained about calculating the monthly power generation efficiency prediction value, that is, the monthly efficiency prediction value, it can also be applied to the case where the power generation efficiency prediction value is calculated for a fixed period such as weekly or yearly.
以上のように、この発明に係る発電効率予測計算装置に
よれば、負荷効率曲線、予測外的条件、負荷および各負
荷毎の負荷運用時間比率を入力する入力部と、上記負荷
効率曲線に上記予測外的条件を考慮して予測基準負荷効
率曲線を求め、この予測基準負荷効率曲線と上記各負荷
および上記負荷運用時間比率とから発電効率予測値を算
出する演算部とを有することから、発電効率の予ｖ１１
ｆｍが実際の運用状態に近くなり、発電所の効率管理を
高精度に行なうことができる。As described above, the power generation efficiency prediction calculation device according to the present invention includes an input section for inputting a load efficiency curve, a predicted external condition, a load, and a load operating time ratio for each load; Since it has a calculation unit that calculates a predicted reference load efficiency curve in consideration of predicted external conditions and calculates a predicted value of power generation efficiency from this predicted reference load efficiency curve, each of the above-mentioned loads, and the above-mentioned load operation time ratio, the power generation Preliminary efficiency v11
fm becomes close to the actual operating state, and the efficiency of the power plant can be managed with high precision.
第１図はこの発明に係る発電効率予測計算装置の一実施
例を示すブロック図、第２図はこの実施例におけるデー
タおよび処理の流れを示すフローチャートである。
１・・・火力発電プロセス、４・・・発電効率予測計算
装置、５・・・入力部、６・・・演算部、ａ・・・負荷
効率曲線、ｂ・・・月刊予測外的条件、Ｃ・・・手入力
データ、ｄ・・・過去の実績負荷運用時間比率、ｅ・・
・予測基準負荷効率曲線、ｆ・・・予測負荷運用時間比
率、ｑ・・・月刊効率予測値。
代理人弁理士 則 近 憲 缶
周 第 子 丸 健Ｌ
＋ −、−Ｊ蔓２凪FIG. 1 is a block diagram showing an embodiment of a power generation efficiency prediction calculation device according to the present invention, and FIG. 2 is a flowchart showing the flow of data and processing in this embodiment. DESCRIPTION OF SYMBOLS 1... Thermal power generation process, 4... Power generation efficiency prediction calculation device, 5... Input part, 6... Calculation part, a... Load efficiency curve, b... Monthly prediction external conditions, C...Manual input data, d...Past actual load operation time ratio, e...
- Prediction standard load efficiency curve, f... Predicted load operating time ratio, q... Monthly efficiency prediction value. Representative Patent Attorney Nori Chika Ken Shu Ken L
＋ −、−J vine 2 calm
Claims (1)
、並びに各負荷およびその各負荷毎の負荷運用時間比率
をそれぞれ入力する入力部と、上記負荷効率曲線に上記
予測外的条件を考慮して予測基準負荷効率曲線を求め、
この予測基準負荷効率曲線と上記各負荷および上記負荷
運用時間比率とから発電効率予測値を算出する演算部と
を有して構成されたことを特徴とする発電効率予測計算
装置。An input section for inputting the predicted external conditions, the load efficiency curve obtained from the performance test results, each load and the load operation time ratio for each load, and Find the predicted standard load efficiency curve,
A power generation efficiency prediction calculation device comprising: a calculation unit that calculates a power generation efficiency predicted value from this prediction reference load efficiency curve, each of the loads and the load operating time ratio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9670588A JPH01271602A (en) | 1988-04-21 | 1988-04-21 | Power generation efficiency prediction calculation device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP9670588A JPH01271602A (en) | 1988-04-21 | 1988-04-21 | Power generation efficiency prediction calculation device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH01271602A true JPH01271602A (en) | 1989-10-30 |
Family
ID=14172173
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP9670588A Pending JPH01271602A (en) | 1988-04-21 | 1988-04-21 | Power generation efficiency prediction calculation device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH01271602A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012507807A (en) * | 2008-10-31 | 2012-03-29 | オプティマム・エナジー，エルエルシー | System and method for controlling energy consumption efficiency |
-
1988
- 1988-04-21 JP JP9670588A patent/JPH01271602A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012507807A (en) * | 2008-10-31 | 2012-03-29 | オプティマム・エナジー，エルエルシー | System and method for controlling energy consumption efficiency |
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