بهینه سازی ظرفیت و بهره برداری سیستم CCHP توسط الگوریتم ژنتیک
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|13625||2010||11 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Applied Energy, Volume 87, Issue 4, April 2010, Pages 1325–1335
The technical, economical and environmental performances of combined cooling, heating and power (CCHP) system are closely dependent on its design and operation strategy. This paper analyzes the energy flow of CCHP system and deduces the primary energy consumption following the thermal demand of building. Three criteria, primary energy saving (PES), annual total cost saving (ATCS), and carbon dioxide emission reduction (CDER) are selected to evaluate the performance of CCHP system. Based on the energy flow of CCHP system, the capacity and operation of CCHP system are optimized by genetic algorithm (GA) so as to maximize the technical, economical and environmental benefits achieved by CCHP system in comparison to separation production system. A numerical example of gas CCHP system for a hotel building in Beijing is given to ascertain the effectiveness of the optimal method. Furthermore, a sensitivity analysis is presented in order to show how the optimal operation strategy would vary due to the changes of electricity price and gas price.
Combined cooling, heating and power (CCHP) system is broadly identified as an alternative for the world to meet and solve energy-related problems, such as increasing energy demands, increasing energy cost, energy supply security, and environmental concerns , , , ,  and . A good CCHP system must yield economical savings, but more importantly must yield real energy savings as well as reducing the emission of pollutants. The performance of CCHP system is closely dependent on its design and operation. Aiming to maximize the benefits from CCHP system in comparison to traditional separation production (SP), it is necessary to optimize the design and operation strategy.
نتیجه گیری انگلیسی
GA has been employed to optimize the capacity and operation strategy of CCHP system on the basis of energy flow. Optimal values of equipment capacities have been determined in considering operational strategy. Through a numerical example of CCHP system for a hotel building in Beijing, the effectiveness of the proposed method has been demonstrated. The optimal analysis in this paper leads to the following conclusions: The integrated performance of CCHP system increases firstly, then the increasing speed becomes slow gradually and reaches the peak, and finally decreases with the increasing of the capacity and the ratio of electric cooling to cool load, respectively. The PES and CDER of CCHP system in comparison to SP system finally keep the limited value, while the ATCS will decrease all along with the capacity and ratio.