IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v114y2019ic18.html
   My bibliography  Save this article

An overview of optimization technologies applied in combined cooling, heating and power systems

Author

Listed:
  • Gao, Lei
  • Hwang, Yunho
  • Cao, Tao

Abstract

Combined cooling, heating and power (CCHP) systems have the advantages of higher energy efficiency and lower economic and environmental impacts (3E) than separated systems. Recently, optimization methods have been extensively applied in CCHP system's design and control for further improving 3E performances of CCHP systems. However, a wide range of subsystems selection, nonlinear characteristics of subsystem models and uncertainty in modeling results of CCHP systems cause challenges for successful implementation of optimization studies at both design and control stage. This paper presents a systematic review of all aspects of optimization for CCHP systems from problem formulation and algorithms selection to technical implementation. Genetic algorithm, particle swarm optimization and differential evolution are the most common algorithms used in system optimum design and control. Optimization works in design stage focus on optimization of energy source, prime mover, storage system, energy demand and system configuration. Over 60% of renewable energy integrated CCHP system adopted solar energy. More investigations are needed for small scale prime mover and economic is the development obstacle among 3E objectives. Dynamic characteristics and mal-distribution problem should earn more attention when optimizing storage system in CCHP. For the system control aspects, the baseline control strategy of load-following method as well as optimum control under real-time data and uncertainty condition are discussed. The intermittent feature of renewable energy should be considered at system control stage with uncertainty study. Uncertainty inside of energy demands, subsystems performance and market price should be investigated at the same time during control stage. Overall, this review paper can be used as an optimization reference and guidance for optimum CCHP system design and control.

Suggested Citation

  • Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    • Handle: RePEc:eee:rensus:v:114:y:2019:i:c:18
    DOI: 10.1016/j.rser.2019.109344
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032119305520
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2019.109344?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    2. Facci, Andrea L. & Cigolotti, Viviana & Jannelli, Elio & Ubertini, Stefano, 2017. "Technical and economic assessment of a SOFC-based energy system for combined cooling, heating and power," Applied Energy, Elsevier, vol. 192(C), pages 563-574.
    3. Sanaye, Sepehr & Sarrafi, Ahmadreza, 2015. "Optimization of combined cooling, heating and power generation by a solar system," Renewable Energy, Elsevier, vol. 80(C), pages 699-712.
    4. Sameti, Mohammad & Haghighat, Fariborz, 2019. "Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power," Renewable Energy, Elsevier, vol. 130(C), pages 371-387.
    5. Arne Stolbjerg Drud, 1994. "CONOPT—A Large-Scale GRG Code," INFORMS Journal on Computing, INFORMS, vol. 6(2), pages 207-216, May.
    6. Hou, Qinlong & Zhao, Hongbin & Yang, Xiaoyu, 2019. "Economic performance study of the integrated MR-SOFC-CCHP system," Energy, Elsevier, vol. 166(C), pages 236-245.
    7. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q., 2014. "A novel operation strategy for CCHP systems based on minimum distance," Applied Energy, Elsevier, vol. 128(C), pages 325-335.
    8. Wang, Xuan & Jin, Ming & Feng, Wei & Shu, Gequn & Tian, Hua & Liang, Youcai, 2018. "Cascade energy optimization for waste heat recovery in distributed energy systems," Applied Energy, Elsevier, vol. 230(C), pages 679-695.
    9. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    10. Wang, Jiang-Jiang & Yang, Kun & Xu, Zi-Long & Fu, Chao, 2015. "Energy and exergy analyses of an integrated CCHP system with biomass air gasification," Applied Energy, Elsevier, vol. 142(C), pages 317-327.
    11. Boyaghchi, Fateme Ahmadi & Chavoshi, Mansoure & Sabeti, Vajiheh, 2015. "Optimization of a novel combined cooling, heating and power cycle driven by geothermal and solar energies using the water/CuO (copper oxide) nanofluid," Energy, Elsevier, vol. 91(C), pages 685-699.
    12. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    13. Ji, Ling & Zhang, Bei-Bei & Huang, Guo-He & Xie, Yu-Lei & Niu, Dong-Xiao, 2018. "Explicit cost-risk tradeoff for optimal energy management in CCHP microgrid system under fuzzy-risk preferences," Energy Economics, Elsevier, vol. 70(C), pages 525-535.
    14. Ruan, Yingjun & Liu, Qingrong & Li, Zhengwei & Wu, Jiazheng, 2016. "Optimization and analysis of Building Combined Cooling, Heating and Power (BCHP) plants with chilled ice thermal storage system," Applied Energy, Elsevier, vol. 179(C), pages 738-754.
    15. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    16. Powell, Kody M. & Kim, Jong Suk & Cole, Wesley J. & Kapoor, Kriti & Mojica, Jose L. & Hedengren, John D. & Edgar, Thomas F., 2016. "Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market," Energy, Elsevier, vol. 113(C), pages 52-63.
    17. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Design and operation optimization of organic Rankine cycle coupled trigeneration systems," Energy, Elsevier, vol. 142(C), pages 666-677.
    18. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    19. McLarty, Dustin & Panossian, Nadia & Jabbari, Faryar & Traverso, Alberto, 2019. "Dynamic economic dispatch using complementary quadratic programming," Energy, Elsevier, vol. 166(C), pages 755-764.
    20. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2018. "Novel performance curves to determine optimal operation of CCHP systems," Applied Energy, Elsevier, vol. 226(C), pages 1009-1036.
    21. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2017. "Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller," Energy, Elsevier, vol. 139(C), pages 1052-1065.
    22. Jiang, Yibo & Xu, Jian & Sun, Yuanzhang & Wei, Congying & Wang, Jing & Liao, Siyang & Ke, Deping & Li, Xiong & Yang, Jun & Peng, Xiaotao, 2018. "Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources," Applied Energy, Elsevier, vol. 211(C), pages 237-248.
    23. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhang, Xu-Tao & Shi, Guo-Hua, 2008. "Integrated evaluation of distributed triple-generation systems using improved grey incidence approach," Energy, Elsevier, vol. 33(9), pages 1427-1437.
    24. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    25. Hu, Mengqi & Cho, Heejin, 2014. "A probability constrained multi-objective optimization model for CCHP system operation decision support," Applied Energy, Elsevier, vol. 116(C), pages 230-242.
    26. Dorotić, Hrvoje & Pukšec, Tomislav & Duić, Neven, 2019. "Multi-objective optimization of district heating and cooling systems for a one-year time horizon," Energy, Elsevier, vol. 169(C), pages 319-328.
    27. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    28. Wang, Jiangjiang & Lu, Yanchao & Yang, Ying & Mao, Tianzhi, 2016. "Thermodynamic performance analysis and optimization of a solar-assisted combined cooling, heating and power system," Energy, Elsevier, vol. 115(P1), pages 49-59.
    29. Su, Bosheng & Han, Wei & Jin, Hongguang, 2017. "Proposal and assessment of a novel integrated CCHP system with biogas steam reforming using solar energy," Applied Energy, Elsevier, vol. 206(C), pages 1-11.
    30. Ma, Tengfei & Wu, Junyong & Hao, Liangliang & Lee, Wei-Jen & Yan, Huaguang & Li, Dezhi, 2018. "The optimal structure planning and energy management strategies of smart multi energy systems," Energy, Elsevier, vol. 160(C), pages 122-141.
    31. Mirko M. Stojiljković & Mladen M. Stojiljković & Bratislav D. Blagojević, 2014. "Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics," Energies, MDPI, vol. 7(12), pages 1-28, December.
    32. Bohlayer, Markus & Zöttl, Gregor, 2018. "Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach," Energy, Elsevier, vol. 159(C), pages 327-343.
    33. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    34. Yan, Yi & Zhang, Chenghui & Li, Ke & Wang, Zhen, 2018. "An integrated design for hybrid combined cooling, heating and power system with compressed air energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1151-1166.
    35. Zhang, Ying & Deng, Shuai & Zhao, Li & Lin, Shan & Ni, Jiaxin & Ma, Minglu & Xu, Weicong, 2018. "Optimization and multi-time scale modeling of pilot solar driven polygeneration system based on organic Rankine cycle," Applied Energy, Elsevier, vol. 222(C), pages 396-409.
    36. Kriett, Phillip Oliver & Salani, Matteo, 2012. "Optimal control of a residential microgrid," Energy, Elsevier, vol. 42(1), pages 321-330.
    37. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    38. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    39. Cedillos Alvarado, Dagoberto & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2016. "A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study," Applied Energy, Elsevier, vol. 180(C), pages 491-503.
    40. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    41. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Shi, Guo-Hua & Zhang, Xu-Tao, 2008. "A fuzzy multi-criteria decision-making model for trigeneration system," Energy Policy, Elsevier, vol. 36(10), pages 3823-3832, October.
    42. Quoilin, Sylvain & Broek, Martijn Van Den & Declaye, Sébastien & Dewallef, Pierre & Lemort, Vincent, 2013. "Techno-economic survey of Organic Rankine Cycle (ORC) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 168-186.
    43. Shu, Gequn & Liang, Youcai & Wei, Haiqiao & Tian, Hua & Zhao, Jian & Liu, Lina, 2013. "A review of waste heat recovery on two-stroke IC engine aboard ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 385-401.
    44. Sadeghi, Mohsen & Chitsaz, Ata & Mahmoudi, S.M.S. & Rosen, Marc A., 2015. "Thermoeconomic optimization using an evolutionary algorithm of a trigeneration system driven by a solid oxide fuel cell," Energy, Elsevier, vol. 89(C), pages 191-204.
    45. Lorestani, A. & Ardehali, M.M., 2018. "Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm," Renewable Energy, Elsevier, vol. 119(C), pages 490-503.
    46. Cao, Tao & Hwang, Yunho & Radermacher, Reinhard, 2017. "Development of an optimization based design framework for microgrid energy systems," Energy, Elsevier, vol. 140(P1), pages 340-351.
    47. Ershadi, Hamed & Karimipour, Arash, 2018. "Present a multi-criteria modeling and optimization (energy, economic and environmental) approach of industrial combined cooling heating and power (CCHP) generation systems using the genetic algorithm,," Energy, Elsevier, vol. 149(C), pages 286-295.
    48. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    49. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    50. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    51. Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro, 2013. "Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications," Applied Energy, Elsevier, vol. 112(C), pages 205-214.
    52. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
    53. Zhou, Yizhou & Wei, Zhinong & Sun, Guoqiang & Cheung, Kwok W. & Zang, Haixiang & Chen, Sheng, 2018. "A robust optimization approach for integrated community energy system in energy and ancillary service markets," Energy, Elsevier, vol. 148(C), pages 1-15.
    54. Jayasekara, Saliya & Halgamuge, Saman K. & Attalage, Rahula A. & Rajarathne, Rohitha, 2014. "Optimum sizing and tracking of combined cooling heating and power systems for bulk energy consumers," Applied Energy, Elsevier, vol. 118(C), pages 124-134.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ye Zhao & Zhenhai Dou & Zexu Yu & Ruishuo Xie & Mengmeng Qiao & Yuanyuan Wang & Lianxin Liu, 2022. "Study on the Optimal Dispatching Strategy of a Combined Cooling, Heating and Electric Power System Based on Demand Response," Energies, MDPI, vol. 15(10), pages 1-18, May.
    2. Fang, Zhenhua & Pan, Zhen & Ma, Guiyang & Yu, Jingxian & Shang, Liyan & Zhang, Zhien, 2023. "Exergoeconomic, exergoenvironmental analysis and multi-objective optimization of a novel combined cooling, heating and power system for liquefied natural gas cold energy recovery," Energy, Elsevier, vol. 269(C).
    3. Yidan Song & Qiaoqun Sun & Yu Zhang & Yaodong Da & Heming Dong & Hebo Zhang & Qian Du & Jianmin Gao, 2023. "Modeling and Optimization of Natural Gas CCHP System in the Severe Cold Region," Energies, MDPI, vol. 16(12), pages 1-18, June.
    4. Wang, Yuqi & Liu, Tianyuan & Meng, Yue & Zhang, Di & Xie, Yonghui, 2022. "Integrated optimization for design and operation of turbomachinery in a solar-based Brayton cycle based on deep learning techniques," Energy, Elsevier, vol. 252(C).
    5. Kang, Ligai & Wu, Xiaojing & Yuan, Xiaoxue & Ma, Kunru & Wang, Yongzhen & Zhao, Jun & An, Qingsong, 2021. "Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings," Energy, Elsevier, vol. 233(C).
    6. Alberto Garces-Jimenez & Jose-Manuel Gomez-Pulido & Nuria Gallego-Salvador & Alvaro-Jose Garcia-Tejedor, 2021. "Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study," Mathematics, MDPI, vol. 9(18), pages 1-24, September.
    7. Ding, Tao & Sun, Yuge & Huang, Can & Mu, Chenlu & Fan, Yuqi & Lin, Jiang & Qin, Yining, 2022. "Pathways of clean energy heating electrification programs for reducing carbon emissions in Northwest China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    8. Régis Delubac & Mohammad Sadr & Sabine Sochard & Sylvain Serra & Jean-Michel Reneaume, 2023. "Optimized Operation and Sizing of Solar District Heating Networks with Small Daily Storage," Energies, MDPI, vol. 16(3), pages 1-20, January.
    9. Gopila, M. & Suresh, G. & Prasad, D., 2023. "Random decision forest (RDF) and crystal structure algorithm (CryStAl) for uncertainty consideration of RES & load demands with optimal design of hybrid CCHP systems," Energy, Elsevier, vol. 282(C).
    10. Sun, Lei & Tang, Bo & Xie, Yonghui, 2022. "Performance assessment of two compressed and liquid carbon dioxide energy storage systems: Thermodynamic, exergoeconomic analysis and multi-objective optimization," Energy, Elsevier, vol. 256(C).
    11. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    12. Kang, Ligai & Yuan, Xiaoxue & Sun, Kangjie & Zhang, Xu & Zhao, Jun & Deng, Shuai & Liu, Wei & Wang, Yongzhen, 2022. "Feed-forward active operation optimization for CCHP system considering thermal load forecasting," Energy, Elsevier, vol. 254(PB).
    13. Saleh, Amin & Hajabdollahi, Hassan & Ghamari, Vahid & Shafiey Dehaj, Mohammad, 2023. "Evaluation of operational strategy of cooling and thermal energy storage tanks in optimal design of multi generation system," Energy, Elsevier, vol. 284(C).
    14. Ren, Fukang & Lin, Xiaozhen & Wei, Ziqing & Zhai, Xiaoqiang & Yang, Jianrong, 2022. "A novel planning method for design and dispatch of hybrid energy systems," Applied Energy, Elsevier, vol. 321(C).
    15. Jie, Pengfei & Li, Zhe & Ren, Yanli & Wei, Fengjun, 2023. "Economy-energy-environment optimization of biomass gasification CCHP system integrated with ground source heat pump," Energy, Elsevier, vol. 277(C).
    16. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    17. Wang, Jiangjiang & Han, Zepeng & Guan, Zhimin, 2020. "Hybrid solar-assisted combined cooling, heating, and power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    18. Jiajia Li & Jinfu Liu & Peigang Yan & Xingshuo Li & Guowen Zhou & Daren Yu, 2021. "Operation Optimization of Integrated Energy System under a Renewable Energy Dominated Future Scene Considering Both Independence and Benefit: A Review," Energies, MDPI, vol. 14(4), pages 1-36, February.
    19. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    20. Gao, Lei & Liu, Tianyuan & Cao, Tao & Hwang, Yunho & Radermacher, Reinhard, 2021. "Comparing deep learning models for multi energy vectors prediction on multiple types of building," Applied Energy, Elsevier, vol. 301(C).
    21. Xiao Gong & Fan Li & Bo Sun & Dong Liu, 2020. "Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads," Energies, MDPI, vol. 13(4), pages 1-17, February.
    22. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    23. Chen, W.D. & Chua, K.J., 2022. "A novel and optimized operation strategy map for CCHP systems considering optimal thermal energy utilization," Energy, Elsevier, vol. 259(C).
    24. Régis Delubac & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2021. "A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants," Energies, MDPI, vol. 14(23), pages 1-27, November.
    25. Zhu, Yilin & Xu, Yujie & Chen, Haisheng & Guo, Huan & Zhang, Hualiang & Zhou, Xuezhi & Shen, Haotian, 2023. "Optimal dispatch of a novel integrated energy system combined with multi-output organic Rankine cycle and hybrid energy storage," Applied Energy, Elsevier, vol. 343(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    2. Wang, Jiangjiang & Han, Zepeng & Guan, Zhimin, 2020. "Hybrid solar-assisted combined cooling, heating, and power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    3. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    4. Wang, Zefeng & Han, Wei & Zhang, Na & Liu, Meng & Jin, Hongguang, 2017. "Effect of an alternative operating strategy for gas turbine on a combined cooling heating and power system," Applied Energy, Elsevier, vol. 205(C), pages 163-172.
    5. Pang, Kang Ying & Liew, Peng Yen & Woon, Kok Sin & Ho, Wai Shin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2023. "Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands," Energy, Elsevier, vol. 262(PA).
    6. Wang, Chengshan & Lv, Chaoxian & Li, Peng & Song, Guanyu & Li, Shuquan & Xu, Xiandong & Wu, Jianzhong, 2018. "Modeling and optimal operation of community integrated energy systems: A case study from China," Applied Energy, Elsevier, vol. 230(C), pages 1242-1254.
    7. Li, Fan & Sun, Bo & Zhang, Chenghui & Zhang, Lizhi, 2018. "Operation optimization for combined cooling, heating, and power system with condensation heat recovery," Applied Energy, Elsevier, vol. 230(C), pages 305-316.
    8. Pina, Eduardo A. & Lozano, Miguel A. & Ramos, José C. & Serra, Luis M., 2020. "Tackling thermal integration in the synthesis of polygeneration systems for buildings," Applied Energy, Elsevier, vol. 269(C).
    9. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    10. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    11. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2021. "Integrating renewables into stand-alone hybrid systems meeting electric, heating, and cooling loads: A case study," Renewable Energy, Elsevier, vol. 180(C), pages 1222-1236.
    12. Yuwei Wang & Yuanjuan Yang & Liu Tang & Wei Sun & Huiru Zhao, 2019. "A Stochastic-CVaR Optimization Model for CCHP Micro-Grid Operation with Consideration of Electricity Market, Wind Power Accommodation and Multiple Demand Response Programs," Energies, MDPI, vol. 12(20), pages 1-33, October.
    13. Urbanucci, Luca & Bruno, Joan Carles & Testi, Daniele, 2019. "Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems," Applied Energy, Elsevier, vol. 238(C), pages 516-533.
    14. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
    15. Lu, Shuai & Gu, Wei & Zhou, Jinhui & Zhang, Xuesong & Wu, Chenyu, 2018. "Coordinated dispatch of multi-energy system with district heating network: Modeling and solution strategy," Energy, Elsevier, vol. 152(C), pages 358-370.
    16. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    17. Kasaeian, Alibakhsh & Bellos, Evangelos & Shamaeizadeh, Armin & Tzivanidis, Christos, 2020. "Solar-driven polygeneration systems: Recent progress and outlook," Applied Energy, Elsevier, vol. 264(C).
    18. Bai, Zhang & Liu, Taixiu & Liu, Qibin & Lei, Jing & Gong, Liang & Jin, Hongguang, 2018. "Performance investigation of a new cooling, heating and power system with methanol decomposition based chemical recuperation process," Applied Energy, Elsevier, vol. 229(C), pages 1152-1163.
    19. Li, Ruonan & Mahalec, Vladimir, 2022. "Integrated design and operation of energy systems for residential buildings, commercial buildings, and light industries," Applied Energy, Elsevier, vol. 305(C).
    20. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:114:y:2019:i:c:18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.