IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v146y2020icp2700-2715.html
   My bibliography  Save this article

The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects

Author

Listed:
  • Zhu, Xingyi
  • Zhan, Xiangyan
  • Liang, Hao
  • Zheng, Xuyue
  • Qiu, Yuwei
  • Lin, Jian
  • Chen, Jincan
  • Meng, Chao
  • Zhao, Yingru

Abstract

Combined cooling, heating, and power (CCHP) is an economic and eco-friendly technology to mitigate energy issues with remarkable energy efficiency improvement. This study formulates a mixed integer nonlinear programming (MINLP) model for a combined CCHP system coupled with renewable energy, i.e. RCCHP system, which is applied in five different buildings to evaluate the economic and environmental performance under two optimization modes. Net present value (NPV), internal rate of return (IRR) and dynamic payback period (DPP) are introduced as economic indexes, while CO2 emission reduction rate (CER) is considered as the environmental indicator to determine the optimal combination, capacity, and operation strategies for energy technologies. Results indicate that a combination of electricity purchased at valley period during night with power generated by the combined heating and power (CHP) unit coupled with wind turbine in peak period during daytime is cost-optimal which also enables higher energy efficiency. Meanwhile, the feed-in tariff as well as the uncoordinated electrical and thermal loads both show a significant impact on real-time operation strategies. Compared with the reference separate production (SP) system, the combined system shows better performance when applied to shopping mall under both optimization modes, e.g., with NPV up to 67.65 and 46.61 million RMB, IRR up to 20.70% and 25.10%, and the minimum DPP is 5.49 and 4.82 years under NPV and IRR maximization, respectively.

Suggested Citation

  • Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:2700-2715
    DOI: 10.1016/j.renene.2019.07.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119310316
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.07.011?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. Farahnak, Mehdi & Farzaneh-Gord, Mahmood & Deymi-Dashtebayaz, Mahdi & Dashti, Farshad, 2015. "Optimal sizing of power generation unit capacity in ICE-driven CCHP systems for various residential building sizes," Applied Energy, Elsevier, vol. 158(C), pages 203-219.
    2. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    3. A. Rahman, Hasimah & Majid, Md. Shah & Rezaee Jordehi, A. & Chin Kim, Gan & Hassan, Mohammad Yusri & O. Fadhl, Saeed, 2015. "Operation and control strategies of integrated distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1412-1420.
    4. Wu, J.Y. & Wang, J.L. & Li, S. & Wang, R.Z., 2014. "Experimental and simulative investigation of a micro-CCHP (micro combined cooling, heating and power) system with thermal management controller," Energy, Elsevier, vol. 68(C), pages 444-453.
    5. Stanek, Wojciech & Gazda, Wiesław & Kostowski, Wojciech, 2015. "Thermo-ecological assessment of CCHP (combined cold-heat-and-power) plant supported with renewable energy," Energy, Elsevier, vol. 92(P3), pages 279-289.
    6. Facci, Andrea Luigi & Andreassi, Luca & Ubertini, Stefano, 2014. "Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming," Energy, Elsevier, vol. 66(C), pages 387-400.
    7. Mehleri, E.D. & Sarimveis, H. & Markatos, N.C. & Papageorgiou, L.G., 2013. "Optimal design and operation of distributed energy systems: Application to Greek residential sector," Renewable Energy, Elsevier, vol. 51(C), pages 331-342.
    8. Li, Minzhi & Jiang, Xi Zhuo & Zheng, Danxing & Zeng, Guangbiao & Shi, Lin, 2016. "Thermodynamic boundaries of energy saving in conventional CCHP (Combined Cooling, Heating and Power) systems," Energy, Elsevier, vol. 94(C), pages 243-249.
    9. Maraver, Daniel & Sin, Ana & Sebastián, Fernando & Royo, Javier, 2013. "Environmental assessment of CCHP (combined cooling heating and power) systems based on biomass combustion in comparison to conventional generation," Energy, Elsevier, vol. 57(C), pages 17-23.
    10. Cho, Heejin & Mago, Pedro J. & Luck, Rogelio & Chamra, Louay M., 2009. "Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme," Applied Energy, Elsevier, vol. 86(12), pages 2540-2549, December.
    11. Nosrat, Amir H. & Swan, Lukas G. & Pearce, Joshua M., 2013. "Improved performance of hybrid photovoltaic-trigeneration systems over photovoltaic-cogen systems including effects of battery storage," Energy, Elsevier, vol. 49(C), pages 366-374.
    12. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    13. Mosaffa, A.H. & Farshi, L. Garousi, 2018. "Thermodynamic and economic assessments of a novel CCHP cycle utilizing low-temperature heat sources for domestic applications," Renewable Energy, Elsevier, vol. 120(C), pages 134-150.
    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. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Lin, Jian & Zhong, Xiaoyi & Wang, Jing & Huang, Yuan & Bai, Xuetao & Wang, Xiaonan & Shah, Nilay & Xie, Shan & Zhao, Yingru, 2021. "Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning," Applied Energy, Elsevier, vol. 304(C).
    3. Yang, Xiaohui & Wang, Xiaopeng & Leng, Zhengyang & Deng, Yeheng & Deng, Fuwei & Zhang, Zhonglian & Yang, Li & Liu, Xiaoping, 2023. "An optimized scheduling strategy combining robust optimization and rolling optimization to solve the uncertainty of RES-CCHP MG," Renewable Energy, Elsevier, vol. 211(C), pages 307-325.
    4. Jiang, Jianhua & Zhou, Renjie & Xu, Hao & Wang, Hao & Wu, Ping & Wang, Zhuo & Li, Jian, 2022. "Optimal sizing, operation strategy and case study of a grid-connected solid oxide fuel cell microgrid," Applied Energy, Elsevier, vol. 307(C).
    5. Li, Yiming & Liu, Che & Zhang, Lizhi & Sun, Bo, 2021. "A partition optimization design method for a regional integrated energy system based on a clustering algorithm," Energy, Elsevier, vol. 219(C).
    6. Yuan, Yu & Bai, Zhang & Zhou, Shengdong & Zheng, Bo & Hu, Wenxin, 2022. "Potential of applying the thermochemical recuperation in combined cooling, heating and power generation: Flexible demand response characteristics," Applied Energy, Elsevier, vol. 325(C).
    7. 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).
    8. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2021. "Assessing the influence of legal constraints on the integration of renewable energy technologies in polygeneration systems for buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    9. Tomasz Sikorski & Michał Jasiński & Edyta Ropuszyńska-Surma & Magdalena Węglarz & Dominika Kaczorowska & Paweł Kostyła & Zbigniew Leonowicz & Robert Lis & Jacek Rezmer & Wilhelm Rojewski & Marian Sobi, 2019. "A Case Study on Distributed Energy Resources and Energy-Storage Systems in a Virtual Power Plant Concept: Economic Aspects," Energies, MDPI, vol. 12(23), pages 1-21, November.
    10. Li, Nan & Zhao, Xunwen & Shi, Xunpeng & Pei, Zhenwei & Mu, Hailin & Taghizadeh-Hesary, Farhad, 2021. "Integrated energy systems with CCHP and hydrogen supply: A new outlet for curtailed wind power," Applied Energy, Elsevier, vol. 303(C).
    11. Wang, Yongli & Ma, Yuze & Song, Fuhao & Ma, Yang & Qi, Chengyuan & Huang, Feifei & Xing, Juntai & Zhang, Fuwei, 2020. "Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response," Energy, Elsevier, vol. 205(C).
    12. Wang, Meng & Yu, Hang & Lin, Xiaoyu & Jing, Rui & He, Fangjun & Li, Chaoen, 2020. "Comparing stochastic programming with posteriori approach for multi-objective optimization of distributed energy systems under uncertainty," Energy, Elsevier, vol. 210(C).
    13. Pinto, Edwin S. & Gronier, Timothé & Franquet, Erwin & Serra, Luis M., 2023. "Opportunities and economic assessment for a third-party delivering electricity, heat and cold to residential buildings," Energy, Elsevier, vol. 272(C).
    14. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    15. Zhou, Yuan & Ma, Yanpeng & Wang, Jiangjiang & Lu, Shuaikang, 2021. "Collaborative planning of spatial layouts of distributed energy stations and networks: A case study," Energy, Elsevier, vol. 234(C).
    16. Feng, Li & Liu, Jiajun & Lu, Haitao & Liu, Bingzhi & Chen, Yuning & Wu, Shenyu, 2022. "Robust operation of distribution network based on photovoltaic/wind energy resources in condition of COVID-19 pandemic considering deterministic and probabilistic approaches," Energy, Elsevier, vol. 261(PB).
    17. Yan, Rujing & Wang, Jiangjiang & Wang, Jiahao & Tian, Lei & Tang, Saiqiu & Wang, Yuwei & Zhang, Jing & Cheng, Youliang & Li, Yuan, 2022. "A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties," Energy, Elsevier, vol. 247(C).
    18. Liting Zhang & Weijun Gao & Yongwen Yang & Fanyue Qian, 2020. "Impacts of Investment Cost, Energy Prices and Carbon Tax on Promoting the Combined Cooling, Heating and Power (CCHP) System of an Amusement Park Resort in Shanghai," Energies, MDPI, vol. 13(16), pages 1-22, August.
    19. Ge, Yongkai & Ma, Yue & Wang, Qingrui & Yang, Qing & Xing, Lu & Ba, Shusong, 2023. "Techno-economic-environmental assessment and performance comparison of a building distributed multi-energy system under various operation strategies," Renewable Energy, Elsevier, vol. 204(C), pages 685-696.
    20. Wu, Di & Han, Zhonghe & Liu, Zhijian & Li, Peng & Ma, Fanfan & Zhang, Han & Yin, Yunxing & Yang, Xinyan, 2021. "Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system," Energy, Elsevier, vol. 217(C).
    21. 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.
    22. Fioriti, Davide & Pintus, Salvatore & Lutzemberger, Giovanni & Poli, Davide, 2020. "Economic multi-objective approach to design off-grid microgrids: A support for business decision making," Renewable Energy, Elsevier, vol. 159(C), pages 693-704.
    23. Edyta Ropuszyńska-Surma & Magdalena Węglarz, 2023. "The Methods of Assessing the Efficiency of a Virtual Power Plant—Case Study," Energies, MDPI, vol. 17(1), pages 1-28, December.

    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. Ju, Liwei & Tan, Zhongfu & Li, Huanhuan & Tan, Qingkun & Yu, Xiaobao & Song, Xiaohua, 2016. "Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China," Energy, Elsevier, vol. 111(C), pages 322-340.
    2. Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.
    3. Dai, Rui & Hu, Mengqi & Yang, Dong & Chen, Yang, 2015. "A collaborative operation decision model for distributed building clusters," Energy, Elsevier, vol. 84(C), pages 759-773.
    4. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    5. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    6. 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.
    7. Zhang, Chong & Xue, Xue & Du, Qianzhou & Luo, Yimo & Gang, Wenjie, 2019. "Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making," Energy, Elsevier, vol. 176(C), pages 778-791.
    8. Li, Miao & Mu, Hailin & Li, Nan & Ma, Baoyu, 2016. "Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system," Energy, Elsevier, vol. 99(C), pages 202-220.
    9. 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.
    10. Yanfeng Liu & Yaxing Wang & Xi Luo, 2020. "Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy," Energies, MDPI, vol. 14(1), pages 1-26, December.
    11. 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.
    12. Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.
    13. Wang, Zefeng & Han, Wei & Zhang, Na & Gan, Zhongxue & Sun, Jie & Jin, Hongguang, 2018. "Energy level difference graphic analysis method of combined cooling, heating and power systems," Energy, Elsevier, vol. 160(C), pages 1069-1077.
    14. Omu, Akomeno & Choudhary, Ruchi & Boies, Adam, 2013. "Distributed energy resource system optimisation using mixed integer linear programming," Energy Policy, Elsevier, vol. 61(C), pages 249-266.
    15. Ahn, Hyeunguk & Rim, Donghyun & Freihaut, James D., 2018. "Performance assessment of hybrid chiller systems for combined cooling, heating and power production," Applied Energy, Elsevier, vol. 225(C), pages 501-512.
    16. Kang, Jing & Wang, Shengwei & Yan, Chengchu, 2019. "A new distributed energy system configuration for cooling dominated districts and the performance assessment based on real site measurements," Renewable Energy, Elsevier, vol. 131(C), pages 390-403.
    17. Zhao Luo & Wei Gu & Yong Sun & Xiang Yin & Yiyuan Tang & Xiaodong Yuan, 2016. "Performance Analysis of the Combined Operation of Interconnected-BCCHP Microgrids in China," Sustainability, MDPI, vol. 8(10), pages 1-20, September.
    18. Chen, Yuzhu & Hua, Huilian & Xu, Jinzhao & Yun, Zhonghua & Wang, Jun & Lund, Peter D., 2022. "Techno-economic cost assessment of a combined cooling heating and power system coupled to organic Rankine cycle with life cycle method," Energy, Elsevier, vol. 239(PA).
    19. Ahn, Hyeunguk & Freihaut, James D. & Rim, Donghyun, 2019. "Economic feasibility of combined cooling, heating, and power (CCHP) systems considering electricity standby tariffs," Energy, Elsevier, vol. 169(C), pages 420-432.
    20. 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.

    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:renene:v:146:y:2020:i:c:p:2700-2715. 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.journals.elsevier.com/renewable-energy .

    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.