Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings
As an on-site energy supply system, combined cooling, heating and power (CCHP) system plays significant role. Thus, CCHP systems servicing four types of buildings were employed in this paper. Considering high initial investment and off-design operation, a multi-objective optimization model and a bi-...
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| Veröffentlicht in: | Energy (Oxford) Jg. 233; S. 121159 |
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15.10.2021
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| ISSN: | 0360-5442 |
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| Abstract | As an on-site energy supply system, combined cooling, heating and power (CCHP) system plays significant role. Thus, CCHP systems servicing four types of buildings were employed in this paper. Considering high initial investment and off-design operation, a multi-objective optimization model and a bi-level programming method integrated with operation and design were proposed. Nominal capacity configurations were optimized with no supportive policy. Then influence of capital subsidy and feed-in tariff policies to system comprehensive performance were illustrated. Results show that CCHP system servicing residential building could not achieve economic merits whatever energy policy was employed. CCHP system servicing hotel and hospital could realize better comprehensive performance than that of office. While the capacity of power generation unit was lower than 1.5 MW and capital subsidy was lower than 3000 ¥/kW, the capital subsidy policy had slight effect on system performance. For feed-in tariff policy, when feed-in tariff ratio (Esale/Egrid) was quite low, nearly no change on system performance would be obtained. And when the feed-in tariff ratio was relatively high, the energy and environment performance would decrease significantly. If feed-in tariff ratio was in a reasonable price range, this policy would have a positive effect on CCHP system with different building types.
•A bi-level programming method integrated with operation and design was proposed.•Comprehensive performance obtained by AHP is employed as the optimization objective.•The analysis is performed on energy system in different four types of buildings.•Performances are presented and compared under different energy policies. |
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| AbstractList | As an on-site energy supply system, combined cooling, heating and power (CCHP) system plays significant role. Thus, CCHP systems servicing four types of buildings were employed in this paper. Considering high initial investment and off-design operation, a multi-objective optimization model and a bi-level programming method integrated with operation and design were proposed. Nominal capacity configurations were optimized with no supportive policy. Then influence of capital subsidy and feed-in tariff policies to system comprehensive performance were illustrated. Results show that CCHP system servicing residential building could not achieve economic merits whatever energy policy was employed. CCHP system servicing hotel and hospital could realize better comprehensive performance than that of office. While the capacity of power generation unit was lower than 1.5 MW and capital subsidy was lower than 3000 ¥/kW, the capital subsidy policy had slight effect on system performance. For feed-in tariff policy, when feed-in tariff ratio (Eₛₐₗₑ/Egᵣᵢd) was quite low, nearly no change on system performance would be obtained. And when the feed-in tariff ratio was relatively high, the energy and environment performance would decrease significantly. If feed-in tariff ratio was in a reasonable price range, this policy would have a positive effect on CCHP system with different building types. As an on-site energy supply system, combined cooling, heating and power (CCHP) system plays significant role. Thus, CCHP systems servicing four types of buildings were employed in this paper. Considering high initial investment and off-design operation, a multi-objective optimization model and a bi-level programming method integrated with operation and design were proposed. Nominal capacity configurations were optimized with no supportive policy. Then influence of capital subsidy and feed-in tariff policies to system comprehensive performance were illustrated. Results show that CCHP system servicing residential building could not achieve economic merits whatever energy policy was employed. CCHP system servicing hotel and hospital could realize better comprehensive performance than that of office. While the capacity of power generation unit was lower than 1.5 MW and capital subsidy was lower than 3000 ¥/kW, the capital subsidy policy had slight effect on system performance. For feed-in tariff policy, when feed-in tariff ratio (Esale/Egrid) was quite low, nearly no change on system performance would be obtained. And when the feed-in tariff ratio was relatively high, the energy and environment performance would decrease significantly. If feed-in tariff ratio was in a reasonable price range, this policy would have a positive effect on CCHP system with different building types. •A bi-level programming method integrated with operation and design was proposed.•Comprehensive performance obtained by AHP is employed as the optimization objective.•The analysis is performed on energy system in different four types of buildings.•Performances are presented and compared under different energy policies. |
| ArticleNumber | 121159 |
| Author | Wu, Xiaojing Ma, Kunru Yuan, Xiaoxue An, Qingsong Zhao, Jun Wang, Yongzhen Kang, Ligai |
| Author_xml | – sequence: 1 givenname: Ligai orcidid: 0000-0003-3120-2660 surname: Kang fullname: Kang, Ligai email: ligaikang@hebust.edu.cn organization: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050018, China – sequence: 2 givenname: Xiaojing surname: Wu fullname: Wu, Xiaojing organization: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050018, China – sequence: 3 givenname: Xiaoxue surname: Yuan fullname: Yuan, Xiaoxue organization: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050018, China – sequence: 4 givenname: Kunru surname: Ma fullname: Ma, Kunru organization: School of Civil Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050018, China – sequence: 5 givenname: Yongzhen surname: Wang fullname: Wang, Yongzhen organization: Department of Electrical Engineering, Institute of Energy Internet Innovation, Tsinghua University, Beijing, 100084, China – sequence: 6 givenname: Jun surname: Zhao fullname: Zhao, Jun organization: Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin, 300072, China – sequence: 7 givenname: Qingsong surname: An fullname: An, Qingsong organization: Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin, 300072, China |
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| CitedBy_id | crossref_primary_10_1007_s11630_024_2050_9 crossref_primary_10_1016_j_enbuild_2022_112513 crossref_primary_10_1016_j_renene_2023_119195 crossref_primary_10_1002_ese3_70049 crossref_primary_10_1016_j_seta_2022_102785 crossref_primary_10_1016_j_enconman_2023_117439 crossref_primary_10_1016_j_applthermaleng_2023_122293 crossref_primary_10_1016_j_mser_2025_101049 crossref_primary_10_1016_j_enconman_2021_115139 crossref_primary_10_1007_s10973_025_14163_2 crossref_primary_10_1007_s12273_021_0865_9 crossref_primary_10_1016_j_apenergy_2023_122128 crossref_primary_10_1016_j_energy_2022_124234 crossref_primary_10_1016_j_jclepro_2023_136946 crossref_primary_10_1016_j_csite_2025_106509 crossref_primary_10_3389_fenrg_2022_819420 crossref_primary_10_1007_s41660_023_00387_y crossref_primary_10_1016_j_energy_2024_132096 crossref_primary_10_1002_ep_14183 crossref_primary_10_1016_j_energy_2025_136374 crossref_primary_10_1016_j_energy_2024_131371 crossref_primary_10_3390_en16010080 |
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