کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8072893 1521434 2016 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system
چکیده انگلیسی
Because of the non-linear and non-explicit relationships between system parameters and incomplete and/or complicated mathematical model, iterative approaches that work based on the experts' knowledge to optimize or improve complex energy systems. Main focus on this study was to encode the iterative approach in the form of a fuzzy inference system, FIS, to maximize profit of a power plant through controlling the effective operating parameters, while the load of a power plant is changed. As a benchmark power station, a 250 MW unit in the Shahid-Rajaei steam power was considered for optimization. The profits of the power plant at various loads were estimated using exergoeconomic analysis; then, it was optimized through optimal regulating the flow rates of extracted steam from the high and low pressure turbines in an iterative procedure. The FIS worked based on the magnitude of the cost of exergy destruction of feed-water heaters. The faster computation time of the FIS compared to the GA, make it as a suitable option for the real-time optimization in form of fuzzy controllers. Using the developed FIS, the profit of the power plant at 100, 80, and 60% of the nominal power was increased 153.0, 322.0, and 280.0 $ h−1, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 114, 1 November 2016, Pages 868-884
نویسندگان
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