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OPTIMIZATION OF COMBINED-CYCLE POWER PLANT EFFICIENCY THROUGH ONLINE CONDITION MONITORING AND MODEL BASED PERFORMANCE PREDICTION

机译:通过在线状态监测和基于模型的性能预测的优化组合循环电厂效率

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Over 40% of the total electrical energy in Malaysia are generated by Combined-Cycle Gas and Steam Turbines power plant. Combined-Cycle has the advantage of higher conversion efficiency as compared to single-cycle power plant. For a combined-cycle plant, the required total block power output can be obtained by running the individual gas turbines at different loads. However, the overall conversion efficiency will not be the same under all combinations. For a new plant with the same gas turbines efficiency curves, the maximum conversion efficiency will be achieved when both gas turbines are firing equal load. However, after many hours of operation, the efficiency of individual gas turbines will be different and hence the combination that gives maximum block efficiency will change. Under this condition, to achieve maximum block efficiency, the optimum combinations with the current health of the machine need to be found. This paper describes the development of a program that can find this optimum combination and its implementation at Paka power plant. The program is combined with an integrated condition monitoring system, TURBOWATCH, which stores the historical data on the component efficiencies of the plant. The verifications with field data from the power plant are also included.
机译:马来西亚的总电能超过40%由组合循环气体和汽轮机发电厂产生。与单循环发电厂相比,组合循环具有更高的转换效率的优点。对于组合循环设备,通过在不同负载下运行各个燃气轮机来获得所需的总块功率输出。但是,在所有组合下整体转换效率都不是相同的。对于具有相同燃气轮机效率曲线的新工厂,当燃气涡轮机都燃烧相等的负载时,将实现最大转换效率。然而,经过多小时的操作,单个燃气轮机的效率将不同,因此可以改变最大块效率的组合。在这种情况下,为了实现最大块效率,需要找到具有当前健康的最佳组合。本文介绍了一个节目的开发,可以在Paka发电厂找到这种最佳组合及其实施。该程序与集成条件监测系统,涡轮瓦氏型相结合,该涡轮瓦氏术,其存储植物组分效率的历史数据。还包括来自发电厂的现场数据的验证。

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