Nested optimization design for combined cooling, heating, and power system coupled with solar and biomass energy
•Combined cooling, heating, and power (CCHP) can improve energy efficiency.•Expanded with renewable energy, CCHP systems can provide a variety of benefits.•Optimization of such systems has neglected the variability of renewable resources.•We consider this variability to optimize the system capacity...
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| Vydáno v: | International journal of electrical power & energy systems Ročník 123; s. 106236 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.12.2020
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| Témata: | |
| ISSN: | 0142-0615, 1879-3517 |
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| Abstract | •Combined cooling, heating, and power (CCHP) can improve energy efficiency.•Expanded with renewable energy, CCHP systems can provide a variety of benefits.•Optimization of such systems has neglected the variability of renewable resources.•We consider this variability to optimize the system capacity and operation.•Numerical results confirm energy, economic, and environmental benefits.
Renewable energy source integration in combined cooling, heating, and power (RES-CCHP) systems can improve energy efficiency and foster renewable energy consumption, which is a promising solution to the current energy and environmental crisis. This paper studies the off-design characteristics of these systems, establishes a two-way interaction mechanism between the system capacity and operation strategy, and proposes a two-stage nested optimization design method for the RES-CCHP. In the first stage, the capacity of each system component is obtained by the genetic algorithm and then used as the constraint for the operation optimization. In the second stage, the nonlinear programming algorithm is employed to optimize the operational energy consumption, costs, and CO2 emissions taking the off-design characteristics of core devices into consideration. Several case studies are conducted to verify the feasibility of the two-stage optimal design method. It was found that the two-stage nested optimization design increases the primary energy saving ratio, cost saving ratio, and carbon dioxide emission reduction ratio by 4.5%, 4.32%, and 3.27% compared with the conventional optimal design method, respectively. Overall, the proposed two-stage nested optimization design was tested to improve the performance and the renewable energy consumption. |
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| AbstractList | •Combined cooling, heating, and power (CCHP) can improve energy efficiency.•Expanded with renewable energy, CCHP systems can provide a variety of benefits.•Optimization of such systems has neglected the variability of renewable resources.•We consider this variability to optimize the system capacity and operation.•Numerical results confirm energy, economic, and environmental benefits.
Renewable energy source integration in combined cooling, heating, and power (RES-CCHP) systems can improve energy efficiency and foster renewable energy consumption, which is a promising solution to the current energy and environmental crisis. This paper studies the off-design characteristics of these systems, establishes a two-way interaction mechanism between the system capacity and operation strategy, and proposes a two-stage nested optimization design method for the RES-CCHP. In the first stage, the capacity of each system component is obtained by the genetic algorithm and then used as the constraint for the operation optimization. In the second stage, the nonlinear programming algorithm is employed to optimize the operational energy consumption, costs, and CO2 emissions taking the off-design characteristics of core devices into consideration. Several case studies are conducted to verify the feasibility of the two-stage optimal design method. It was found that the two-stage nested optimization design increases the primary energy saving ratio, cost saving ratio, and carbon dioxide emission reduction ratio by 4.5%, 4.32%, and 3.27% compared with the conventional optimal design method, respectively. Overall, the proposed two-stage nested optimization design was tested to improve the performance and the renewable energy consumption. |
| ArticleNumber | 106236 |
| Author | Li, Fan Zhang, Lizhi Zhang, Liang Sun, Bo Zhang, Chenghui |
| Author_xml | – sequence: 1 givenname: Liang surname: Zhang fullname: Zhang, Liang – sequence: 2 givenname: Lizhi surname: Zhang fullname: Zhang, Lizhi – sequence: 3 givenname: Bo surname: Sun fullname: Sun, Bo email: sunbo@sdu.edu.cn – sequence: 4 givenname: Chenghui surname: Zhang fullname: Zhang, Chenghui – sequence: 5 givenname: Fan surname: Li fullname: Li, Fan |
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| Cites_doi | 10.1016/j.energy.2014.02.057 10.1016/j.enbuild.2012.10.031 10.1016/j.applthermaleng.2012.01.067 10.1016/j.apenergy.2012.01.007 10.1002/er.1630 10.3390/en11040743 10.1016/j.energy.2013.02.014 10.1016/j.ijepes.2016.08.008 10.1016/j.enbuild.2015.10.050 10.1016/j.applthermaleng.2013.01.050 10.1016/j.energy.2015.04.003 10.1016/j.applthermaleng.2016.02.027 10.1016/j.ejor.2008.10.033 10.1016/j.apenergy.2017.03.105 10.1016/j.energy.2017.10.130 10.1016/j.ijepes.2013.06.028 10.1016/j.apenergy.2014.12.085 10.1016/j.enbuild.2014.11.003 10.1016/j.apenergy.2017.06.038 10.1109/ICICIP.2011.6008292 10.3390/en10070848 10.1016/j.enbuild.2010.07.019 10.1016/j.apenergy.2011.08.044 10.1016/j.enbuild.2015.08.056 10.1016/j.apenergy.2016.02.037 10.1016/j.enconman.2017.07.048 10.1016/j.energy.2016.01.060 10.1016/j.apenergy.2012.11.018 10.1016/j.apenergy.2012.08.041 10.1016/j.energy.2019.03.001 10.1016/j.energy.2016.01.027 10.1016/j.energy.2010.04.002 10.1016/j.renene.2019.07.011 |
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| Keywords | Combined cooling, heating, and power system Two-stage design method Off-design characteristics Multi-objective mixed integer nonlinear programming |
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| References | Mohammad, Zahed (b0060) 2016; 110 Rezvan, Gharneh, Gharehpetian (b0200) 2013; 57 Ebrahimi, Keshavarz (b0070) 2015; 108 Zheng, Wu, Qiu, Zhan, Shah, Li (b0065) 2018; 210 Caliano, Bianco, Graditi, Mongibello (b0110) 2017; 149 Wei, Chen, Sun, Zhang (b0170) 2016; 98 Yang, Zhai, Zheng, Wang (b0010) 2015; 66 Deng, Cai, Gao (b0220) 2017; 141 Zheng, Wu, Zhai, Wang (b0080) 2017; 85 Mago, Chamra, Hueffed (b0015) 2009; 33 Ren, Zhou, Gao (b0075) 2012; 91 Maraver, Sin, Sebastián, Royo (b0040) 2013; 57 Ameri, Besharati (b0125) 2016; 110 Li, Mu, Li (b0090) 2016; 99 Li, Wang, Zhang, Ming (b0115) 2018; 11 Ren, Wang, Zhu, Chen (b0145) 2019,197. Jing, Bai, Zhang (b0135) 2012; 32 Bellos, Tzivanidis (b0025) 2017; 10 Smith, Luck, Mago (b0050) 2010; 42 Li, Sui, Jin, Zheng (b0030) 2013; 112 Xiong, Zhu, Shi, Wu (b0215) 2011; 29 Marialaura, Bing, Nicola, Peter, Giorgio, Luigi (b0055) 2016; 101 Díaz, Benito, Parise (b0195) 2010; 35 Xiao, Kan, Yang, Zhang, Xiao (b0085) 2012; 32 Hu, Ma, Li (b0180) 2017; 2 Gazda, Stanek (b0120) 2016; 169 Wei, Sun, Zhao, Zhang (b0130) 2015; 39 Zhu, Zhan, Liang, Zheng, Qiu, Lin (b0150) 2020; 146 Wang, Yang, Xu, Fu (b0020) 2015; 142 Wang, Zhao, Niu, Dai (b0035) 2012; 94 Li, Shi, Huang (b0095) 2008; 6 Wu, Wang, Liu (b0140) 2015; 39 Zhang, Liu (b0185) 2014; 6 Jabbari, Tahouni, Ataei, Panjeshahi (b0045) 2013; 61 Zhou, Liu, Li, Ni (b0210) 2013; 53 Marialaura, Bing, Nicola, Peter, Giorgio, Luigi (b0105) 2017; 204 Yang, Zhai (b0100) 2019; 174 Wu, Wang, Li, Wang (b0155) 2014; 68 Wang, Sui, Jin (b0160) 2015; 85 Wang Q, Fang F. Optimal configuration of CCHP system based on energy, economical, and environmental considerations. Int Conf Intelligent Control and Information Processing, Harbin, China, 2011 pp. 489–94. Gu, Wu, Bo, Liu, Zhou, Chen (b0005) 2014; 54 Liu, Shi, Fang (b0165) 2013; 102 Poojari, Beasley (b0190) 2009; 199 Penna, Prada, Cappelletti, Gasparella (b0205) 2015; 95 Ebrahimi (10.1016/j.ijepes.2020.106236_b0070) 2015; 108 Caliano (10.1016/j.ijepes.2020.106236_b0110) 2017; 149 Marialaura (10.1016/j.ijepes.2020.106236_b0055) 2016; 101 Ameri (10.1016/j.ijepes.2020.106236_b0125) 2016; 110 Gu (10.1016/j.ijepes.2020.106236_b0005) 2014; 54 Xiao (10.1016/j.ijepes.2020.106236_b0085) 2012; 32 Mohammad (10.1016/j.ijepes.2020.106236_b0060) 2016; 110 Marialaura (10.1016/j.ijepes.2020.106236_b0105) 2017; 204 Jing (10.1016/j.ijepes.2020.106236_b0135) 2012; 32 Díaz (10.1016/j.ijepes.2020.106236_b0195) 2010; 35 Li (10.1016/j.ijepes.2020.106236_b0090) 2016; 99 Wang (10.1016/j.ijepes.2020.106236_b0035) 2012; 94 Poojari (10.1016/j.ijepes.2020.106236_b0190) 2009; 199 Yang (10.1016/j.ijepes.2020.106236_b0010) 2015; 66 Zheng (10.1016/j.ijepes.2020.106236_b0080) 2017; 85 Smith (10.1016/j.ijepes.2020.106236_b0050) 2010; 42 Mago (10.1016/j.ijepes.2020.106236_b0015) 2009; 33 Wang (10.1016/j.ijepes.2020.106236_b0160) 2015; 85 Yang (10.1016/j.ijepes.2020.106236_b0100) 2019; 174 10.1016/j.ijepes.2020.106236_b0175 Zheng (10.1016/j.ijepes.2020.106236_b0065) 2018; 210 Wu (10.1016/j.ijepes.2020.106236_b0140) 2015; 39 Liu (10.1016/j.ijepes.2020.106236_b0165) 2013; 102 Li (10.1016/j.ijepes.2020.106236_b0030) 2013; 112 Zhu (10.1016/j.ijepes.2020.106236_b0150) 2020; 146 Zhang (10.1016/j.ijepes.2020.106236_b0185) 2014; 6 Ren (10.1016/j.ijepes.2020.106236_b0075) 2012; 91 Wang (10.1016/j.ijepes.2020.106236_b0020) 2015; 142 Ren (10.1016/j.ijepes.2020.106236_b0145) 2019197 Rezvan (10.1016/j.ijepes.2020.106236_b0200) 2013; 57 Bellos (10.1016/j.ijepes.2020.106236_b0025) 2017; 10 Deng (10.1016/j.ijepes.2020.106236_b0220) 2017; 141 Xiong (10.1016/j.ijepes.2020.106236_b0215) 2011; 29 Maraver (10.1016/j.ijepes.2020.106236_b0040) 2013; 57 Li (10.1016/j.ijepes.2020.106236_b0095) 2008; 6 Zhou (10.1016/j.ijepes.2020.106236_b0210) 2013; 53 Gazda (10.1016/j.ijepes.2020.106236_b0120) 2016; 169 Wei (10.1016/j.ijepes.2020.106236_b0130) 2015; 39 Penna (10.1016/j.ijepes.2020.106236_b0205) 2015; 95 Li (10.1016/j.ijepes.2020.106236_b0115) 2018; 11 Wei (10.1016/j.ijepes.2020.106236_b0170) 2016; 98 Jabbari (10.1016/j.ijepes.2020.106236_b0045) 2013; 61 Wu (10.1016/j.ijepes.2020.106236_b0155) 2014; 68 Hu (10.1016/j.ijepes.2020.106236_b0180) 2017; 2 |
| References_xml | – volume: 112 start-page: 673 year: 2013 end-page: 681 ident: b0030 article-title: Full chain energy performance for a combined cooling, heating and power system running with methanol and solar energy publication-title: Appl Energy – volume: 29 start-page: 16 year: 2011 end-page: 19 ident: b0215 article-title: Analysis on the price of the biogas for rural centralized biogas plant publication-title: China Biogas – volume: 149 start-page: 631 year: 2017 end-page: 645 ident: b0110 article-title: Design optimization and sensitivity analysis of a biomass-fired combined cooling, heating and power system with thermal energy storage systems publication-title: Energy Convers Manage – volume: 94 start-page: 58 year: 2012 end-page: 64 ident: b0035 article-title: Parametric analysis of a new combined cooling, heating and power system with transcritical CO2 driven by solar energy publication-title: Appl Energy – volume: 110 start-page: 135 year: 2016 end-page: 148 ident: b0125 article-title: Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex publication-title: Energy Build – volume: 204 start-page: 1299 year: 2017 end-page: 1316 ident: b0105 article-title: Multi-objective design optimization of distributed energysystems through cost and exergy assessments publication-title: Appl Energy – volume: 146 start-page: 2700 year: 2020 end-page: 2715 ident: b0150 article-title: The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects publication-title: Renewable Energy – volume: 210 start-page: 1126 year: 2018 end-page: 1140 ident: b0065 article-title: A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China publication-title: Appl Energy – volume: 101 start-page: 752 year: 2016 end-page: 761 ident: b0055 article-title: Multi-objective operation optimization of a Distributed Energy System for a large-scale utility customer publication-title: Appl Therm Eng – volume: 174 start-page: 647 year: 2019 end-page: 663 ident: b0100 article-title: Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition publication-title: Energy – volume: 68 start-page: 444 year: 2014 end-page: 453 ident: b0155 article-title: Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller publication-title: Energy – volume: 54 start-page: 26 year: 2014 end-page: 37 ident: b0005 article-title: Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review publication-title: Int J Electr Power Energy Syst – volume: 110 start-page: 135 year: 2016 end-page: 148 ident: b0060 article-title: Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex publication-title: Energy Build – volume: 169 start-page: 138 year: 2016 end-page: 149 ident: b0120 article-title: Energy and environmental assessment of integrated biogas trigeneration and photovoltaic plant as more sustainable industrial system publication-title: Appl Energy – volume: 32 start-page: 82 year: 2012 end-page: 87 ident: b0135 article-title: Multi-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system publication-title: Proc CSEE – volume: 99 start-page: 202 year: 2016 end-page: 220 ident: b0090 article-title: Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system publication-title: Energy – volume: 199 start-page: 89 year: 2009 end-page: 97 ident: b0190 article-title: Improving benders decomposition using a genetic algorithm publication-title: Eur J of Oper Res – volume: 85 start-page: 117 year: 2017 end-page: 129 ident: b0080 article-title: A novel thermal storage strategy for CCHP system based on energy demands and state of storage tank publication-title: Int J Electr Power Energy Syst – volume: 10 start-page: 848 year: 2017 ident: b0025 article-title: Optimization of a solar-driven trigeneration system with nanofluid-based parabolic trough collectors publication-title: Energies – volume: 57 start-page: 17 year: 2013 end-page: 23 ident: b0040 article-title: Environmental assessment of CCHP (combined cooling heating and power) systems based on biomass combustion in comparison to conventional generation publication-title: Energy – volume: 102 start-page: 794 year: 2013 end-page: 802 ident: b0165 article-title: Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach publication-title: Appl Energy – year: 2019,197. ident: b0145 article-title: Multi-objective optimization of combined cooling, heating and power system integrated with solar and geothermal energies. Energy Convers publication-title: Manage – volume: 42 start-page: 2231 year: 2010 end-page: 2240 ident: b0050 article-title: Analysis of a combined cooling, heating, and power system model under different operating strategies with input and model data uncertainty publication-title: Energy Build – volume: 66 start-page: 1 year: 2015 end-page: 9 ident: b0010 article-title: Current situation and development tendency of CCHP systems in China publication-title: CIESC J – volume: 39 start-page: 46 year: 2015 end-page: 51 ident: b0140 article-title: Strategies evaluation and optimal allocation of combined cooling heating and power system with solar publication-title: Autom Electric Power Syst – volume: 141 start-page: 1750 year: 2017 end-page: 1763 ident: b0220 article-title: A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin publication-title: Energy – volume: 32 start-page: 8 year: 2012 end-page: 14 ident: b0085 article-title: Superstructure-based optimal planning of cogeneration systems with storage publication-title: Proc CSEE – volume: 98 start-page: 296 year: 2016 end-page: 307 ident: b0170 article-title: Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system publication-title: Energy – volume: 2 start-page: 83 year: 2017 end-page: 90 ident: b0180 article-title: Optimal allocation and applicability analysis of distributed combined cooling-heating-power system publication-title: Power Syst Technol – volume: 142 start-page: 317 year: 2015 end-page: 327 ident: b0020 article-title: Energy and exergy analyses of an integrated CCHP system with biomass air gasification publication-title: Appl Energy – volume: 91 start-page: 156 year: 2012 end-page: 165 ident: b0075 article-title: Optimal option of distributed energy systems for building complexes in different climate zones in China publication-title: Appl Energy – volume: 11 start-page: 743 year: 2018 ident: b0115 article-title: Multi-objective optimal design of renewable energy integrated CCHP system using PICEA-g publication-title: Energies – volume: 35 start-page: 3540 year: 2010 end-page: 3550 ident: b0195 article-title: Thermoeconomic assessment of a multi-engine, multi-heat-pump CCHP (combined cooling, heating and power generation) system–a case study publication-title: Energy – volume: 33 start-page: 1252 year: 2009 end-page: 1265 ident: b0015 article-title: A review on energy, economical, and environmental benefits of the use of CHP systems for small commercial buildings for the North American climate publication-title: Int J Energy Res – volume: 6 start-page: 606 year: 2008 end-page: 610 ident: b0095 article-title: Influence of load composition on the optimized configuration of a combined cooling, heating and power (CCHP) cogeneration system publication-title: J Eng Therm Energy Power – volume: 95 start-page: 57 year: 2015 end-page: 69 ident: b0205 article-title: Multi-objectives optimization of energy efficiency measures in existing buildings publication-title: Energy Build – volume: 6 start-page: 579 year: 2014 end-page: 584 ident: b0185 article-title: Sub-regional value of benchmark discount rate in life-cycle cost analysis of construction project publication-title: J Hebei University (Natural Science Edition) – volume: 57 start-page: 58 year: 2013 end-page: 64 ident: b0200 article-title: Optimization of distributed generation capacities in buildings under uncertainty in load demand publication-title: Energy Build – volume: 61 start-page: 88 year: 2013 end-page: 97 ident: b0045 article-title: Design and optimization of CCHP system incorporated into kraft process, using Pinch Analysis with pressure drop consideration publication-title: Appl Therm Eng – reference: Wang Q, Fang F. Optimal configuration of CCHP system based on energy, economical, and environmental considerations. Int Conf Intelligent Control and Information Processing, Harbin, China, 2011 pp. 489–94. – volume: 108 start-page: 10 year: 2015 end-page: 22 ident: b0070 article-title: Designing an optimal solar collector (orientation, type and size) for a hybrid-CCHP system in different climates publication-title: Energy Build – volume: 53 start-page: 387 year: 2013 end-page: 396 ident: b0210 article-title: An engineering approach to the optimal design of distributed energy systems in China publication-title: Appl Therm Eng – volume: 39 start-page: 7 year: 2015 end-page: 12 ident: b0130 article-title: Multi-objective optimization design and operation analysis of small biomass biogas combined cooling heating and power system publication-title: Autom Electric Power Syst – volume: 85 start-page: 654 year: 2015 end-page: 666 ident: b0160 article-title: An improved operation strategy of combined cooling heating and power system following electrical load publication-title: Energy – volume: 68 start-page: 444 year: 2014 ident: 10.1016/j.ijepes.2020.106236_b0155 article-title: Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller publication-title: Energy doi: 10.1016/j.energy.2014.02.057 – volume: 57 start-page: 58 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0200 article-title: Optimization of distributed generation capacities in buildings under uncertainty in load demand publication-title: Energy Build doi: 10.1016/j.enbuild.2012.10.031 – volume: 66 start-page: 1 issue: S2 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0010 article-title: Current situation and development tendency of CCHP systems in China publication-title: CIESC J – volume: 53 start-page: 387 issue: 2 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0210 article-title: An engineering approach to the optimal design of distributed energy systems in China publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2012.01.067 – volume: 94 start-page: 58 year: 2012 ident: 10.1016/j.ijepes.2020.106236_b0035 article-title: Parametric analysis of a new combined cooling, heating and power system with transcritical CO2 driven by solar energy publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.01.007 – volume: 39 start-page: 7 issue: 12 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0130 article-title: Multi-objective optimization design and operation analysis of small biomass biogas combined cooling heating and power system publication-title: Autom Electric Power Syst – volume: 33 start-page: 1252 issue: 14 year: 2009 ident: 10.1016/j.ijepes.2020.106236_b0015 article-title: A review on energy, economical, and environmental benefits of the use of CHP systems for small commercial buildings for the North American climate publication-title: Int J Energy Res doi: 10.1002/er.1630 – volume: 11 start-page: 743 issue: 4 year: 2018 ident: 10.1016/j.ijepes.2020.106236_b0115 article-title: Multi-objective optimal design of renewable energy integrated CCHP system using PICEA-g publication-title: Energies doi: 10.3390/en11040743 – volume: 57 start-page: 17 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0040 article-title: Environmental assessment of CCHP (combined cooling heating and power) systems based on biomass combustion in comparison to conventional generation publication-title: Energy doi: 10.1016/j.energy.2013.02.014 – volume: 2 start-page: 83 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0180 article-title: Optimal allocation and applicability analysis of distributed combined cooling-heating-power system publication-title: Power Syst Technol – volume: 85 start-page: 117 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0080 article-title: A novel thermal storage strategy for CCHP system based on energy demands and state of storage tank publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2016.08.008 – volume: 110 start-page: 135 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0060 article-title: Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex publication-title: Energy Build doi: 10.1016/j.enbuild.2015.10.050 – volume: 61 start-page: 88 issue: 1 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0045 article-title: Design and optimization of CCHP system incorporated into kraft process, using Pinch Analysis with pressure drop consideration publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2013.01.050 – volume: 29 start-page: 16 issue: 4 year: 2011 ident: 10.1016/j.ijepes.2020.106236_b0215 article-title: Analysis on the price of the biogas for rural centralized biogas plant publication-title: China Biogas – volume: 85 start-page: 654 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0160 article-title: An improved operation strategy of combined cooling heating and power system following electrical load publication-title: Energy doi: 10.1016/j.energy.2015.04.003 – volume: 101 start-page: 752 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0055 article-title: Multi-objective operation optimization of a Distributed Energy System for a large-scale utility customer publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2016.02.027 – volume: 199 start-page: 89 issue: 1 year: 2009 ident: 10.1016/j.ijepes.2020.106236_b0190 article-title: Improving benders decomposition using a genetic algorithm publication-title: Eur J of Oper Res doi: 10.1016/j.ejor.2008.10.033 – volume: 204 start-page: 1299 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0105 article-title: Multi-objective design optimization of distributed energysystems through cost and exergy assessments publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.03.105 – volume: 141 start-page: 1750 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0220 article-title: A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin publication-title: Energy doi: 10.1016/j.energy.2017.10.130 – volume: 54 start-page: 26 year: 2014 ident: 10.1016/j.ijepes.2020.106236_b0005 article-title: Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2013.06.028 – volume: 142 start-page: 317 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0020 article-title: Energy and exergy analyses of an integrated CCHP system with biomass air gasification publication-title: Appl Energy doi: 10.1016/j.apenergy.2014.12.085 – volume: 32 start-page: 8 issue: 32 year: 2012 ident: 10.1016/j.ijepes.2020.106236_b0085 article-title: Superstructure-based optimal planning of cogeneration systems with storage publication-title: Proc CSEE – volume: 6 start-page: 579 year: 2014 ident: 10.1016/j.ijepes.2020.106236_b0185 article-title: Sub-regional value of benchmark discount rate in life-cycle cost analysis of construction project publication-title: J Hebei University (Natural Science Edition) – volume: 95 start-page: 57 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0205 article-title: Multi-objectives optimization of energy efficiency measures in existing buildings publication-title: Energy Build doi: 10.1016/j.enbuild.2014.11.003 – volume: 210 start-page: 1126 year: 2018 ident: 10.1016/j.ijepes.2020.106236_b0065 article-title: A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.06.038 – ident: 10.1016/j.ijepes.2020.106236_b0175 doi: 10.1109/ICICIP.2011.6008292 – volume: 10 start-page: 848 issue: 7 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0025 article-title: Optimization of a solar-driven trigeneration system with nanofluid-based parabolic trough collectors publication-title: Energies doi: 10.3390/en10070848 – volume: 32 start-page: 82 issue: 20 year: 2012 ident: 10.1016/j.ijepes.2020.106236_b0135 article-title: Multi-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system publication-title: Proc CSEE – volume: 6 start-page: 606 year: 2008 ident: 10.1016/j.ijepes.2020.106236_b0095 article-title: Influence of load composition on the optimized configuration of a combined cooling, heating and power (CCHP) cogeneration system publication-title: J Eng Therm Energy Power – volume: 42 start-page: 2231 issue: 11 year: 2010 ident: 10.1016/j.ijepes.2020.106236_b0050 article-title: Analysis of a combined cooling, heating, and power system model under different operating strategies with input and model data uncertainty publication-title: Energy Build doi: 10.1016/j.enbuild.2010.07.019 – volume: 91 start-page: 156 issue: 1 year: 2012 ident: 10.1016/j.ijepes.2020.106236_b0075 article-title: Optimal option of distributed energy systems for building complexes in different climate zones in China publication-title: Appl Energy doi: 10.1016/j.apenergy.2011.08.044 – volume: 108 start-page: 10 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0070 article-title: Designing an optimal solar collector (orientation, type and size) for a hybrid-CCHP system in different climates publication-title: Energy Build doi: 10.1016/j.enbuild.2015.08.056 – volume: 169 start-page: 138 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0120 article-title: Energy and environmental assessment of integrated biogas trigeneration and photovoltaic plant as more sustainable industrial system publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.02.037 – volume: 149 start-page: 631 year: 2017 ident: 10.1016/j.ijepes.2020.106236_b0110 article-title: Design optimization and sensitivity analysis of a biomass-fired combined cooling, heating and power system with thermal energy storage systems publication-title: Energy Convers Manage doi: 10.1016/j.enconman.2017.07.048 – volume: 99 start-page: 202 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0090 article-title: Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system publication-title: Energy doi: 10.1016/j.energy.2016.01.060 – year: 2019197 ident: 10.1016/j.ijepes.2020.106236_b0145 article-title: Multi-objective optimization of combined cooling, heating and power system integrated with solar and geothermal energies. Energy Convers publication-title: Manage – volume: 112 start-page: 673 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0030 article-title: Full chain energy performance for a combined cooling, heating and power system running with methanol and solar energy publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.11.018 – volume: 102 start-page: 794 year: 2013 ident: 10.1016/j.ijepes.2020.106236_b0165 article-title: Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.08.041 – volume: 174 start-page: 647 year: 2019 ident: 10.1016/j.ijepes.2020.106236_b0100 article-title: Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition publication-title: Energy doi: 10.1016/j.energy.2019.03.001 – volume: 110 start-page: 135 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0125 article-title: Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex publication-title: Energy Build doi: 10.1016/j.enbuild.2015.10.050 – volume: 98 start-page: 296 year: 2016 ident: 10.1016/j.ijepes.2020.106236_b0170 article-title: Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system publication-title: Energy doi: 10.1016/j.energy.2016.01.027 – volume: 35 start-page: 3540 issue: 9 year: 2010 ident: 10.1016/j.ijepes.2020.106236_b0195 article-title: Thermoeconomic assessment of a multi-engine, multi-heat-pump CCHP (combined cooling, heating and power generation) system–a case study publication-title: Energy doi: 10.1016/j.energy.2010.04.002 – volume: 39 start-page: 46 issue: 21 year: 2015 ident: 10.1016/j.ijepes.2020.106236_b0140 article-title: Strategies evaluation and optimal allocation of combined cooling heating and power system with solar publication-title: Autom Electric Power Syst – volume: 146 start-page: 2700 year: 2020 ident: 10.1016/j.ijepes.2020.106236_b0150 article-title: The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects publication-title: Renewable Energy doi: 10.1016/j.renene.2019.07.011 |
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