دانلود مقاله ISI انگلیسی شماره 93932
ترجمه فارسی عنوان مقاله

توسعه استراتژی کنترل چند عرضه و چند تقاضا برای ترکیب خنک کننده، گرمایش و سیستم برق مبتنی بر توربین با سوخت جامد اکسید سوخت

عنوان انگلیسی
Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
93932 2017 24 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy Conversion and Management, Volume 154, 15 December 2017, Pages 538-561

ترجمه کلمات کلیدی
چند عرضه چند تقاضا، بهینه سازی رولینگ، اصلاح بازخورد، خنک کننده ترکیبی گرمایش و قدرت، توربین سلولهای سوختی اکسید جامد،
کلمات کلیدی انگلیسی
Multi-supply-multi-demand; Rolling optimization; Feedback correction; Combined cooling; Heating and power; Solid oxide fuel cell-gas turbine;
پیش نمایش مقاله
پیش نمایش مقاله  توسعه استراتژی کنترل چند عرضه و چند تقاضا برای ترکیب خنک کننده، گرمایش و سیستم برق مبتنی بر توربین با سوخت جامد اکسید سوخت

چکیده انگلیسی

Combined cooling, heating and power (CCHP) system with the prime mover set of solid oxide fuel cell-gas turbine (SOFC-GT) would feature with high electrical efficiency, but contain the highly coupled equipment units for cooling, heating and electricity supplies. Due to such complex nature of multiple supplies and demands, the previously developed control strategies were not suitable, and it is a challenge to develop an appropriate control strategy for the SOFC-GT CCHP system. Therefore, a new approach, called multi-supply-multi-demand (MSMD) control strategy, is proposed in this paper. The MSMD control includes two core algorithms: rolling optimization (RO) and feedback correction (FC). RO is used to determine the operation of energy supply equipment units based on the forecasting weather and loading information of the next 24 h. FC is applied for continual mitigation in case any difference between the actual and predicted energy demands. In the SOFC-GT CCHP system with energy storages for building application, the effectiveness of the MSMD control strategy was tested. It was found that RO could determine the operating schedules of the related equipment units at lower primary energy consumption than the conventional mean, while FC could effectively rectify the prediction errors incurred from the real-time loading conditions.