IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v253y2022ics0360544222009069.html
   My bibliography  Save this article

Multi-dimensions analysis of solar hybrid CCHP systems with redundant design

Author

Listed:
  • Yang, Xiaohui
  • Liu, Kang
  • Leng, Zhengyang
  • Liu, Tao
  • Zhang, Liufang
  • Mei, Linghao

Abstract

The combination of photovoltaic cells and cooling, heating, and power (PV–CCHP) systems has the characteristics of high energy efficiency, low pollutant emissions, and good economic benefits. PV-CCHP systems contain multiple types of equipment, and every kind of equipment may malfunction during operation. Redundant design can effectively improve the reliability and availability of systems. This paper compares and analyzes the redundantly designed PV-CCHP (RPV-CCHP) system, the multi-device parallel operation without redundancy design PV-CCHP (MPV-CCHP) system, and the single device operation PV-CCHP (SPV–CCHP) system performance in economy, environment, and energy. A two-stage optimization strategy is proposed on the traditional operation mode, and an office building in Beijing takes as the case study. The result shows that the integrated performance of the RPV-CCHP system is the best, followed by the MPV-CCHP system and, finally, the SPV-CCHP system. The primary energy saving ratio, carbon dioxide emission reduction ratio, and annual total cost saving ratio of the RPV-CCHP system are significantly superior to the MPV-CCHP and SPV-CCHP. Furthermore, a sensitivity analysis of the three systems was carried out to show how the integrated performance will change when electricity and natural gas prices change.

Suggested Citation

  • Yang, Xiaohui & Liu, Kang & Leng, Zhengyang & Liu, Tao & Zhang, Liufang & Mei, Linghao, 2022. "Multi-dimensions analysis of solar hybrid CCHP systems with redundant design," Energy, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:energy:v:253:y:2022:i:c:s0360544222009069
    DOI: 10.1016/j.energy.2022.124003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222009069
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124003?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. 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.
    2. Martin, Rebecca & Lazakis, Iraklis & Barbouchi, Sami & Johanning, Lars, 2016. "Sensitivity analysis of offshore wind farm operation and maintenance cost and availability," Renewable Energy, Elsevier, vol. 85(C), pages 1226-1236.
    3. 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.
    4. Bouwmeester, J. & Menicucci, A. & Gill, E.K.A., 2022. "Improving CubeSat reliability: Subsystem redundancy or improved testing?," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    5. Cheung, Howard & Wang, Shengwei, 2019. "Reliability and availability assessment and enhancement of water-cooled multi-chiller cooling systems for data centers," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    6. Ebrahimi, Masood & Keshavarz, Ali, 2013. "Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates," Energy, Elsevier, vol. 54(C), pages 291-301.
    7. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    8. Wang, Jiang-Jiang & Fu, Chao & Yang, Kun & Zhang, Xu-Tao & Shi, Guo-hua & Zhai, John, 2013. "Reliability and availability analysis of redundant BCHP (building cooling, heating and power) system," Energy, Elsevier, vol. 61(C), pages 531-540.
    9. Jinming Jiang & Xindong Wei & Weijun Gao & Soichiro Kuroki & Zhonghui Liu, 2018. "Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems," Energies, MDPI, vol. 11(6), pages 1-24, June.
    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. Zhao, Naixin & Gu, Wenbo & Zheng, Zipeng & Ma, Tao, 2023. "Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process," Renewable Energy, Elsevier, vol. 216(C).
    2. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    3. Bai, Zhang & Yuan, Yu & Kong, Debin & Zhou, Shengdong & Li, Qi & Wang, Shuoshuo, 2023. "Potential of applying the thermochemical recuperation in combined cooling, heating and power generation: Off-design operation performance," Applied Energy, Elsevier, vol. 348(C).
    4. Ai, Tianchao & Chen, Hongwei & Zhong, Fanghao & Jia, Jiandong & Song, Yangfan, 2023. "Multi-objective optimization of a novel CCHP system with organic flash cycle based on different operating strategies," Energy, Elsevier, vol. 276(C).
    5. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    6. Cai, Shanshan & Wang, Wenli & Zou, Yuqi & Li, Song & Tu, Zhengkai, 2023. "Performance and sustainability assessment of PEMFC/solar-driven CCP systems with different energy storage devices," Energy, Elsevier, vol. 278(PB).
    7. Wang, Zhaojun & Zhang, Zhonghui & Zhang, Zhonglian & Lei, Dayong & Li, Moxuan & Zhang, Liuyu, 2023. "Two-layer optimization of integrated energy system with considering ambient temperature effect and variable operation scheme," Energy, Elsevier, vol. 278(C).
    8. Dai, Yiru & Zeng, Yipu, 2022. "Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes," Energy, Elsevier, vol. 260(C).
    9. Zhao, Junjie & Luo, Xiaobing & Tu, Zhengkai & Hwa Chan, Siew, 2023. "A novel CCHP system based on a closed PEMEC-PEMFC loop with water self-supply," Applied Energy, Elsevier, vol. 338(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. 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.
    2. 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.
    3. 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.
    4. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q. & Wang, R.Z., 2016. "Impacts of feed-in tariff policies on design and performance of CCHP system in different climate zones," Applied Energy, Elsevier, vol. 175(C), pages 168-179.
    5. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    6. 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.
    7. Roselli, C. & Marrasso, E. & Tariello, F. & Sasso, M., 2020. "How different power grid efficiency scenarios affect the energy and environmental feasibility of a polygeneration system," Energy, Elsevier, vol. 201(C).
    8. Li, C.Y. & Wu, J.Y. & Shen, Y. & Kan, X. & Dai, Y.J. & Wang, C.-H., 2018. "Evaluation of a combined cooling, heating, and power system based on biomass gasification in different climate zones in the U.S," Energy, Elsevier, vol. 144(C), pages 326-340.
    9. 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.
    10. Noor Muhammad Abd Rahman & Lim Chin Haw & Ahmad Fazlizan, 2021. "A Literature Review of Naturally Ventilated Public Hospital Wards in Tropical Climate Countries for Thermal Comfort and Energy Saving Improvements," Energies, MDPI, vol. 14(2), pages 1-22, January.
    11. 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.
    12. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    13. Miao Li & Yiran Feng & Maojun Zhou & Hailin Mu & Longxi Li & Yajun Wang, 2019. "Economic and Environmental Optimization for Distributed Energy System Integrated with District Energy Network," Energies, MDPI, vol. 12(10), pages 1-19, May.
    14. Li, Yaohong & Tian, Ran & Wei, Mingshan, 2022. "Operation strategy for interactive CCHP system based on energy complementary characteristics of diverse operation strategies," Applied Energy, Elsevier, vol. 310(C).
    15. 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.
    16. Zhou, Yuan & Wang, Jiangjiang & Dong, Fuxiang & Qin, Yanbo & Ma, Zherui & Ma, Yanpeng & Li, Jianqiang, 2021. "Novel flexibility evaluation of hybrid combined cooling, heating and power system with an improved operation strategy," Applied Energy, Elsevier, vol. 300(C).
    17. Ebrahim Morady & Madjid Soltani & Farshad Moradi Kashkooli & Masoud Ziabasharhagh & Armughan Al-Haq & Jatin Nathwani, 2022. "Improving Energy Efficiency by Utilizing Wetted Cellulose Pads in Passive Cooling Systems," Energies, MDPI, vol. 15(1), pages 1-17, January.
    18. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    19. Ahmed Al-Ajmi & Yingzhao Wang & Siniša Djurović, 2021. "Wind Turbine Generator Controller Signals Supervised Machine Learning for Shaft Misalignment Fault Detection: A Doubly Fed Induction Generator Practical Case Study," Energies, MDPI, vol. 14(6), pages 1-15, March.
    20. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.

    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:energy:v:253:y:2022:i:c:s0360544222009069. 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/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.