IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v182y2022icp1182-1200.html
   My bibliography  Save this article

Thermodynamic performance analyses and optimization design method of a novel distributed energy system coupled with hybrid-energy storage

Author

Listed:
  • Guo, Jiacheng
  • Liu, Zhijian
  • Li, Ying
  • Wu, Di
  • Liu, Xuan
  • Zhang, Shicong
  • Yang, Xinyan
  • Ge, Hua
  • Zhang, Peiwen

Abstract

Several studies have novel distributed energy systems combining solar energy utilization and hybrid energy storage technology. However, the research on thermodynamic performance and optimization design of the novel system is still insufficient. Therefore, a novel distributed energy system uses a jacket water heat exchanger and a waste heat boiler to recover the waste heat of the internal combustion engine in turn and shares a water tank with the solar thermal collector in parallel. Then, the influence of different parameters on the thermodynamic performance of the system under variable working conditions is analyzed by the parametric analysis method. On this basis, an optimization design method considering the thermodynamic and economic performance of the novel system is proposed. The novel system is applied to a nearly zero-energy community with an electric vehicle charge load. The results show that the exergy efficiency, primary energy rate, and cost per unit supply area of the novel system in a typical year are 19.2%, 70.1%, and 5.4 $/m2, respectively. Therefore, the novel system is reliable and feasible in providing all kinds of energy to users.

Suggested Citation

  • Guo, Jiacheng & Liu, Zhijian & Li, Ying & Wu, Di & Liu, Xuan & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Thermodynamic performance analyses and optimization design method of a novel distributed energy system coupled with hybrid-energy storage," Renewable Energy, Elsevier, vol. 182(C), pages 1182-1200.
    • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:1182-1200
    DOI: 10.1016/j.renene.2021.11.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121016049
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.11.035?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. Sokolnikova, P. & Lombardi, P. & Arendarski, B. & Suslov, K. & Pantaleo, A.M. & Kranhold, M. & Komarnicki, P., 2020. "Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units," Renewable Energy, Elsevier, vol. 155(C), pages 979-989.
    2. 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).
    3. Wang, Jiangjiang & Chen, Yuzhu & Dou, Chao & Gao, Yuefen & Zhao, Zheng, 2018. "Adjustable performance analysis of combined cooling heating and power system integrated with ground source heat pump," Energy, Elsevier, vol. 163(C), pages 475-489.
    4. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.
    5. Uris, María & Linares, José Ignacio & Arenas, Eva, 2017. "Feasibility assessment of an Organic Rankine Cycle (ORC) cogeneration plant (CHP/CCHP) fueled by biomass for a district network in mainland Spain," Energy, Elsevier, vol. 133(C), pages 969-985.
    6. 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.
    7. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & Gharehpetian, G.B., 2018. "A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2128-2143.
    8. Tang, Xin & Li, Guiqiang & Zhao, Xudong, 2021. "Effect of air gap on a novel hybrid photovoltaic/thermal and thermally regenerative electrochemical cycle system," Applied Energy, Elsevier, vol. 293(C).
    9. Lopes, Rui Amaral & Martins, João & Aelenei, Daniel & Lima, Celson Pantoja, 2016. "A cooperative net zero energy community to improve load matching," Renewable Energy, Elsevier, vol. 93(C), pages 1-13.
    10. Heendeniya, Charitha Buddhika & Sumper, Andreas & Eicker, Ursula, 2020. "The multi-energy system co-planning of nearly zero-energy districts – Status-quo and future research potential," Applied Energy, Elsevier, vol. 267(C).
    11. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    12. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "Optimal design of distributed energy resource systems coupled with energy distribution networks," Energy, Elsevier, vol. 85(C), pages 433-448.
    13. Wang, Yongli & Qi, Chengyuan & Dong, Huanran & Wang, Shuo & Wang, Xiaohai & Zeng, Ming & Zhu, Jinrong, 2020. "Optimal design of integrated energy system considering different battery operation strategy," Energy, Elsevier, vol. 212(C).
    14. 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.
    15. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    16. Xiang, Liu, 2017. "Energy network dispatch optimization under emergency of local energy shortage with web tool for automatic large group decision-making," Energy, Elsevier, vol. 120(C), pages 740-750.
    17. Tschopp, Daniel & Tian, Zhiyong & Berberich, Magdalena & Fan, Jianhua & Perers, Bengt & Furbo, Simon, 2020. "Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria," Applied Energy, Elsevier, vol. 270(C).
    18. Sadeghi, Saber & Askari, Ighball Baniasad, 2019. "Prefeasibility techno-economic assessment of a hybrid power plant with photovoltaic, fuel cell and Compressed Air Energy Storage (CAES)," Energy, Elsevier, vol. 168(C), pages 409-424.
    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. Manirathinam, Thangaraj & Narayanamoorthy, Samayan & Geetha, Selvaraj & Othman, Mohd Fairuz Iskandar & Alotaibi, Badr Saad & Ahmadian, Ali & Kang, Daekook, 2023. "Sustainable renewable energy system selection for self-sufficient households using integrated fermatean neutrosophic fuzzy stratified AHP-MARCOS approach," Renewable Energy, Elsevier, vol. 218(C).
    2. Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2022. "Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller," Energy, Elsevier, vol. 252(C).
    3. Zhu, Hongtao & Gao, Xueping & Liu, Yinzhu & Liu, Shuai, 2023. "Numerical and experimental assessment of the water discharge segment in a pumped-storage power station," Energy, Elsevier, vol. 265(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. Guo, Jiacheng & Zhang, Peiwen & Wu, Di & Liu, Zhijian & Liu, Xuan & Zhang, Shicong & Yang, Xinyan & Ge, Hua, 2022. "Multi-objective optimization design and multi-attribute decision-making method of a distributed energy system based on nearly zero-energy community load forecasting," Energy, Elsevier, vol. 239(PC).
    2. 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).
    3. Guo, Jiacheng & Liu, Zhijian & Wu, Xuan & Wu, Di & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Two-layer co-optimization method for a distributed energy system combining multiple energy storages," Applied Energy, Elsevier, vol. 322(C).
    4. Volpato, Gabriele & Carraro, Gianluca & Cont, Marco & Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2022. "General guidelines for the optimal economic aggregation of prosumers in energy communities," Energy, Elsevier, vol. 258(C).
    5. Wang, Jiangjiang & Chen, Yuzhu & Lior, Noam & Li, Weihua, 2019. "Energy, exergy and environmental analysis of a hybrid combined cooling heating and power system integrated with compound parabolic concentrated-photovoltaic thermal solar collectors," Energy, Elsevier, vol. 185(C), pages 463-476.
    6. Yokoyama, Ryohei & Tokunaga, Akira & Wakui, Tetsuya, 2018. "Robust optimal design of energy supply systems under uncertain energy demands based on a mixed-integer linear model," Energy, Elsevier, vol. 153(C), pages 159-169.
    7. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    8. Rigo-Mariani, Rémy & Chea Wae, Sean Ooi & Mazzoni, Stefano & Romagnoli, Alessandro, 2020. "Comparison of optimization frameworks for the design of a multi-energy microgrid," Applied Energy, Elsevier, vol. 257(C).
    9. Xiang, Yue & Cai, Hanhu & Gu, Chenghong & Shen, Xiaodong, 2020. "Cost-benefit analysis of integrated energy system planning considering demand response," Energy, Elsevier, vol. 192(C).
    10. Afzali, Sayyed Faridoddin & Cotton, James S. & Mahalec, Vladimir, 2020. "Urban community energy systems design under uncertainty for specified levels of carbon dioxide emissions," Applied Energy, Elsevier, vol. 259(C).
    11. Alqahtani, Mohammed & Hu, Mengqi, 2020. "Integrated energy scheduling and routing for a network of mobile prosumers," Energy, Elsevier, vol. 200(C).
    12. Wang, Jiangjiang & Liu, Yi & Ren, Fukang & Lu, Shuaikang, 2020. "Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility," Energy, Elsevier, vol. 197(C).
    13. 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.
    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. Han, Zepeng & Wang, Jiangjiang & Cui, Zhiheng & Lu, Chunyan & Qi, Xiaoling, 2021. "Multi-objective optimization and exergoeconomic analysis for a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system," Energy, Elsevier, vol. 237(C).
    16. Chen, Yuzhu & Wang, Jiangjiang & Ma, Chaofan & Gao, Yuefen, 2019. "Thermo-ecological cost assessment and optimization for a hybrid combined cooling, heating and power system coupled with compound parabolic concentrated-photovoltaic thermal solar collectors," Energy, Elsevier, vol. 176(C), pages 479-492.
    17. Marc Richter & Pio Lombardi & Bartlomiej Arendarski & André Naumann & Andreas Hoepfner & Przemyslaw Komarnicki & Antonio Pantaleo, 2021. "A Vision for Energy Decarbonization: Planning Sustainable Tertiary Sites as Net-Zero Energy Systems," Energies, MDPI, vol. 14(17), pages 1-16, September.
    18. Yokoyama, Ryohei & Shinano, Yuji & Wakayama, Yuki & Wakui, Tetsuya, 2019. "Model reduction by time aggregation for optimal design of energy supply systems by an MILP hierarchical branch and bound method," Energy, Elsevier, vol. 181(C), pages 782-792.
    19. Saman Nikkhah & Adib Allahham & Janusz W. Bialek & Sara L. Walker & Damian Giaouris & Simira Papadopoulou, 2021. "Active Participation of Buildings in the Energy Networks: Dynamic/Operational Models and Control Challenges," Energies, MDPI, vol. 14(21), pages 1-28, November.
    20. Lizhi Zhang & Fan Li & Bo Sun & Chenghui Zhang, 2019. "Integrated Optimization Design of Combined Cooling, Heating, and Power System Coupled with Solar and Biomass Energy," Energies, MDPI, vol. 12(4), pages 1-21, February.

    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:182:y:2022:i:c:p:1182-1200. 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.