Optimal sizing of Stirling-CCHP systems for residential buildings at diverse climatic conditions. (5th October 2015)

• Record Type: Journal Article
• Authors: Karami, Ramin; Sayyaadi, Hoseyn
• Is Part Of: Applied thermal engineering. Volume 89(2015:Oct.)
• Page Start: 377
• Page End: 393
• Publication Date: 2015-10-05
• Subjects: Residential CCHP -- Stirling engine -- 3E analysis -- CAFS method -- Fuzzy-AHP decision making -- Optimization; Heat engineering -- Periodicals; Heating -- Equipment and supplies -- Periodicals; Periodicals; 621.40205
• DOI: 10.1016/j.applthermaleng.2015.06.022
• Languages: English
• ISSNs: 1359-4311

Abstract

Abstract: A methodology for optimal sizing of the CCHP systems driven by Stirling prime movers for a residential application was presented. In this regard, a benchmark residential building with 1100 m 2 residential area was assumed in four cities to be delivered heat and power by a Stirling-CCHP system. The proposed Stirling-CCHP system was analyzed using 3E (energy, environment, and economic) analysis and three objective functions including primary energy saving, carbon dioxide emission reduction, and annual total cost saving were obtained. In energy analysis, the Stirling engine was analyzed using the CAFS method. The optimal size of the prime mover was obtained in four optimization scenarios, including three single-objective optimizations along with a multi-objective optimization scenario. In single-objective optimization, three objective functions were optimized separately while in a multi-objective scenario all objective were optimized simultaneously. The best option among four optimized Stirling-CCHP system was selected in each city using the fuzzy-AHP decision making method. It was found that in extremely hot and humid weather, Stirling-CCHP system is not recommended in all scenarios. In other weather conditions, the best configuration of the CCHP system with an acceptable payback period of investment was achieved in the cost optimization scenario. Highlights: A methodology for optimal sizing Stirling-CCHP system was presented. The Stirling-CCHP was analyzed using 3E analysis. The optimal size of prime mover was found in four scenarios. The best scenario was selected by fuzzy-AHP method. Specifications of Stirling-CCHP were discussed in diverse climatic condition.