کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6687372 | 501880 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming
ترجمه فارسی عنوان
برنامه ریزی بهینه از ساختمان ها با تولید انرژی و ذخیره انرژی حرارتی تحت قیمت پویایی برق با استفاده از برنامه های غیر خطی صحیح مخلوط
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کلمات کلیدی
برنامه ریزی مطلوب، برنامه نویسی غیر خطی عدد صحیح مختلط، ساختمان انرژی صفر، سیستم های انرژی تجدید پذیر، ذخیره انرژی حرارتی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
The increasing complexity of building energy systems integrated with renewable energy systems requires essentially more intelligent scheduling strategy. The energy systems often have strong non-linear characteristics and have discrete working ranges. The mixed-integer nonlinear programming approach is used to solve their optimal scheduling problems of energy systems in building integrated with energy generation and thermal energy storage in this study. The optimal scheduling strategy minimizes the overall operation cost day-ahead, including operation energy cost and cost concerning the plant on/off penalty. A case study is conducted to validate the proposed strategy based on the Hong Kong Zero Carbon Building. Four scenarios are investigated and compared to exam the performance of the optimal scheduling. Results show that the strategy can reduce operation energy cost greatly (about 25%) compared with a rule-based strategy and the reduction is even increased to about 47% when a thermal energy storage system is used. The strategy can also reduce the on/off frequency of chillers significantly.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 147, 1 June 2015, Pages 49-58
Journal: Applied Energy - Volume 147, 1 June 2015, Pages 49-58
نویسندگان
Yuehong Lu, Shengwei Wang, Yongjun Sun, Chengchu Yan,