A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm
One of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted from hot gases simultaneously generating power, heat, and refrigeration from combustion, as well as water and cooling oi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719311503 |
| _version_ | 1818386422859563008 |
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| author | Yan Cao Qiangfeng Wang Zhijie Wang Kittisak Jermsittiparsert Mohammadreza Shafiee |
| author_facet | Yan Cao Qiangfeng Wang Zhijie Wang Kittisak Jermsittiparsert Mohammadreza Shafiee |
| author_sort | Yan Cao |
| collection | DOAJ |
| description | One of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted from hot gases simultaneously generating power, heat, and refrigeration from combustion, as well as water and cooling oil in electricity production systems, the overall system energy utilization efficiency can be increased to more than 85%. Analysis and optimization of the CCHP systems are mostly in accordance to the operating cost reduction without considering the emissions reduction and actual energy utilization. The present study proposes an energy flow for CCHP system to decrease the main power consumption based on a building thermal demand in Kerman area, Iran. The method introduced a developed version of the owl search algorithm to increase the efficiency of the CCHP system in comparison with the separation production system. Final simulations declare well efficient results for the presented method. |
| first_indexed | 2024-12-14T03:53:48Z |
| format | Article |
| id | doaj.art-4d10f2017f224e2bbe3b1b39f46423d4 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-14T03:53:48Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-4d10f2017f224e2bbe3b1b39f46423d42022-12-21T23:18:08ZengElsevierEnergy Reports2352-48472020-11-016315324A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithmYan Cao0Qiangfeng Wang1Zhijie Wang2Kittisak Jermsittiparsert3Mohammadreza Shafiee4School of Mechatronic Engineering and Shaanxi Key Laboratory of Non-Traditional Machining, Xi’an Technological University, Xi’an, 710021, ChinaSchool of Mechatronic Engineering and Shaanxi Key Laboratory of Non-Traditional Machining, Xi’an Technological University, Xi’an, 710021, ChinaSchool of Mechatronic Engineering and Shaanxi Key Laboratory of Non-Traditional Machining, Xi’an Technological University, Xi’an, 710021, ChinaSocial Research Institute, Chulalongkorn University, Bangkok 10330, Thailand; Corresponding author.Semnan University, Semnan, IranOne of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted from hot gases simultaneously generating power, heat, and refrigeration from combustion, as well as water and cooling oil in electricity production systems, the overall system energy utilization efficiency can be increased to more than 85%. Analysis and optimization of the CCHP systems are mostly in accordance to the operating cost reduction without considering the emissions reduction and actual energy utilization. The present study proposes an energy flow for CCHP system to decrease the main power consumption based on a building thermal demand in Kerman area, Iran. The method introduced a developed version of the owl search algorithm to increase the efficiency of the CCHP system in comparison with the separation production system. Final simulations declare well efficient results for the presented method.http://www.sciencedirect.com/science/article/pii/S2352484719311503Combined cooling heating and power systemOwl search algorithmImprovedOperation strategyCapacity |
| spellingShingle | Yan Cao Qiangfeng Wang Zhijie Wang Kittisak Jermsittiparsert Mohammadreza Shafiee A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm Energy Reports Combined cooling heating and power system Owl search algorithm Improved Operation strategy Capacity |
| title | A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm |
| title_full | A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm |
| title_fullStr | A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm |
| title_full_unstemmed | A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm |
| title_short | A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm |
| title_sort | new optimized configuration for capacity and operation improvement of cchp system based on developed owl search algorithm |
| topic | Combined cooling heating and power system Owl search algorithm Improved Operation strategy Capacity |
| url | http://www.sciencedirect.com/science/article/pii/S2352484719311503 |
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