IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v147y2020ip1p249-264.html
   My bibliography  Save this article

Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II

Author

Listed:
  • Xie, Yiwei
  • Hu, Pingfang
  • Zhu, Na
  • Lei, Fei
  • Xing, Lu
  • Xu, Linghong

Abstract

A parametric collaborative optimization method for ground source heat pump-radiant ceiling (GSHP-RC) system is proposed to find the optimum setpoint combinations by maximizing system performance and reducing operating costs while ensuring indoor thermal comfort. The method integrates response surface method (RSM) and fast non-dominated sorting genetic algorithm (NSGA-II) to search the nonlinearity relationship between the controllable factors and the response factors and execute multi-objective optimization (MOO) progressively. A GSHP-RC system in an office building is investigated based on TRNSYS. Three controllable factors, the water supply temperature of radiant ceiling, the indoor set temperature and the water supply temperature of the heat pump, were used to analyze the influence mechanism on the system. The system performance, thermal comfort and economy are evaluated by seasonal performance factor (SPF), predicted mean vote (PMV) and the operating cost (OC). Two optimal cases were determined with the SPF of 3.741 and 3.734, the OC of CNY 23525 and 24613, and the PMV of 0.225 and -0.223 respectively. The optimization can realize 17.3% and 13.0% of the operating cost saving for the optimal cases respectively with the significant improvement in SPF under the premise of indoor thermal comfort compared with the reference case with conventional parameters.

Suggested Citation

  • Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong, 2020. "Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II," Renewable Energy, Elsevier, vol. 147(P1), pages 249-264.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:249-264
    DOI: 10.1016/j.renene.2019.08.109
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119312960
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.08.109?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. Menberg, Kathrin & Heo, Yeonsook & Choi, Wonjun & Ooka, Ryozo & Choudhary, Ruchi & Shukuya, Masanori, 2017. "Exergy analysis of a hybrid ground-source heat pump system," Applied Energy, Elsevier, vol. 204(C), pages 31-46.
    2. Gao, Xueping & Tian, Ye & Sun, Bowen, 2018. "Multi-objective optimization design of bidirectional flow passage components using RSM and NSGA II: A case study of inlet/outlet diffusion segment in pumped storage power station," Renewable Energy, Elsevier, vol. 115(C), pages 999-1013.
    3. Sivasakthivel, T. & Murugesan, K. & Thomas, H.R., 2014. "Optimization of operating parameters of ground source heat pump system for space heating and cooling by Taguchi method and utility concept," Applied Energy, Elsevier, vol. 116(C), pages 76-85.
    4. Witte, Henk J.L., 2013. "Error analysis of thermal response tests," Applied Energy, Elsevier, vol. 109(C), pages 302-311.
    5. Sivasakthivel, T. & Murugesan, K. & Sahoo, P.K., 2014. "Optimization of ground heat exchanger parameters of ground source heat pump system for space heating applications," Energy, Elsevier, vol. 78(C), pages 573-586.
    6. Lenth, Russell V., 2009. "Response-Surface Methods in R, Using rsm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i07).
    7. Pandey, Navdeep & Murugesan, K. & Thomas, H.R., 2017. "Optimization of ground heat exchangers for space heating and cooling applications using Taguchi method and utility concept," Applied Energy, Elsevier, vol. 190(C), pages 421-438.
    8. Mukhtar, A. & Ng, K.C. & Yusoff, M.Z., 2018. "Design optimization for ventilation shafts of naturally-ventilated underground shelters for improvement of ventilation rate and thermal comfort," Renewable Energy, Elsevier, vol. 115(C), pages 183-198.
    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. Katerina Sojkova & Martin Volf & Antonin Lupisek & Roman Bolliger & Tomas Vachal, 2019. "Selection of Favourable Concept of Energy Retrofitting Solution for Social Housing in the Czech Republic Based on Economic Parameters, Greenhouse Gases, and Primary Energy Consumption," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
    2. Lijian Shi & Jun Zhu & Fangping Tang & Chuan Wang, 2020. "Multi-Disciplinary Optimization Design of Axial-Flow Pump Impellers Based on the Approximation Model," Energies, MDPI, vol. 13(4), pages 1-19, February.
    3. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    4. Nikitin, Andrey & Farahnak, Mehdi & Deymi-Dashtebayaz, Mahdi & Muraveinikov, Sergei & Nikitina, Veronika & Nazeri, Reza, 2022. "Effect of ice thickness and snow cover depth on performance optimization of ground source heat pump based on the energy, exergy, economic and environmental analysis," Renewable Energy, Elsevier, vol. 185(C), pages 1301-1317.
    5. Li, Yantong & Ding, Zhixiong & Du, Yaxing, 2020. "Techno-economic optimization of open-air swimming pool heating system with PCM storage tank for winter applications," Renewable Energy, Elsevier, vol. 150(C), pages 878-890.
    6. Xie, Yiwei & Hu, Pingfang & Peng, Donggen & Zhu, Na & Lei, Fei, 2023. "Development of a group control strategy based on multi-step load forecasting and its application in hybrid ground source heat pump," Energy, Elsevier, vol. 273(C).
    7. Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong & Sun, Qiming, 2020. "A hybrid short-term load forecasting model and its application in ground source heat pump with cooling storage system," Renewable Energy, Elsevier, vol. 161(C), pages 1244-1259.
    8. Zhao, Zilong & Lv, Guoquan & Xu, Yanwen & Lin, Yu-Feng & Wang, Pingfeng & Wang, Xinlei, 2024. "Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables," Renewable Energy, Elsevier, vol. 225(C).
    9. Chung, Jun Yeob & Park, Myeong Hyeon & Hong, Seong Ho & Baek, Jaehyun & Han, Changho & Lee, Sewon & Kang, Yong Tae & Kim, Yongchan, 2023. "Comparative performance evaluation of multi-objective optimized desiccant wheels coated with MIL-100 (Fe) and silica gel composite," Energy, Elsevier, vol. 283(C).
    10. Li, Chunying & Tang, Haida, 2020. "Evaluation on year-round performance of double-circulation water-flow window," Renewable Energy, Elsevier, vol. 150(C), pages 176-190.

    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. Ma, Zhenjun & Xia, Lei & Gong, Xuemei & Kokogiannakis, Georgios & Wang, Shugang & Zhou, Xinlei, 2020. "Recent advances and development in optimal design and control of ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Somogyi, Viola & Sebestyén, Viktor & Nagy, Georgina, 2017. "Scientific achievements and regulation of shallow geothermal systems in six European countries – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 934-952.
    3. Vivek Aggarwal & Chandan Swaroop Meena & Ashok Kumar & Tabish Alam & Anuj Kumar & Arijit Ghosh & Aritra Ghosh, 2020. "Potential and Future Prospects of Geothermal Energy in Space Conditioning of Buildings: India and Worldwide Review," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    4. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    5. Zhou, Zhihua & Wang, Xiaojuan & Zhang, Xiaoyan & Chen, Guanyi & Zuo, Jian & Pullen, Stephen, 2015. "Effectiveness of pavement-solar energy system – An experimental study," Applied Energy, Elsevier, vol. 138(C), pages 1-10.
    6. Yang, Yang & Zhou, Ling & Hang, Jianwei & Du, Danyang & Shi, Weidong & He, Zhaoming, 2021. "Energy characteristics and optimal design of diffuser meridian in an electrical submersible pump," Renewable Energy, Elsevier, vol. 167(C), pages 718-727.
    7. Noye, Sarah & Mulero Martinez, Rubén & Carnieletto, Laura & De Carli, Michele & Castelruiz Aguirre, Amaia, 2022. "A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    8. Nie, S. & Huang, Z.C. & Huang, G.H. & Yu, L. & Liu, J., 2018. "Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties," Applied Energy, Elsevier, vol. 221(C), pages 249-267.
    9. Sivasakthivel, T. & Philippe, Mikael & Murugesan, K. & Verma, Vikas & Hu, Pingfang, 2017. "Experimental thermal performance analysis of ground heat exchangers for space heating and cooling applications," Renewable Energy, Elsevier, vol. 113(C), pages 1168-1181.
    10. Bayer, Peter & de Paly, Michael & Beck, Markus, 2014. "Strategic optimization of borehole heat exchanger field for seasonal geothermal heating and cooling," Applied Energy, Elsevier, vol. 136(C), pages 445-453.
    11. Gunasekar, N. & Mohanraj, M. & Velmurugan, V., 2015. "Artificial neural network modeling of a photovoltaic-thermal evaporator of solar assisted heat pumps," Energy, Elsevier, vol. 93(P1), pages 908-922.
    12. Abdelazim Abbas Ahmed & Mohsen Assadi & Adib Kalantar & Tomasz Sliwa & Aneta Sapińska-Śliwa, 2022. "A Critical Review on the Use of Shallow Geothermal Energy Systems for Heating and Cooling Purposes," Energies, MDPI, vol. 15(12), pages 1-22, June.
    13. Sakr, Mohamed & Liu, Shuli, 2014. "A comprehensive review on applications of ohmic heating (OH)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 262-269.
    14. Pavel Neuberger & Radomír Adamovský, 2019. "Analysis and Comparison of Some Low-Temperature Heat Sources for Heat Pumps," Energies, MDPI, vol. 12(10), pages 1-14, May.
    15. Alshehri, Faisal & Beck, Stephen & Ingham, Derek & Ma, Lin & Pourkashanian, Mohammed, 2021. "Sensitivity analysis of a vertical geothermal heat pump system in a hot dry climate," Renewable Energy, Elsevier, vol. 178(C), pages 785-801.
    16. Li, Jinghua & Fang, Jiakun & Zeng, Qing & Chen, Zhe, 2016. "Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources," Applied Energy, Elsevier, vol. 167(C), pages 244-254.
    17. Al-Ameen, Yasameen & Ianakiev, Anton & Evans, Robert, 2018. "Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems," Energy, Elsevier, vol. 151(C), pages 556-568.
    18. Lin, Wenye & Ma, Zhenjun, 2016. "Using Taguchi-Fibonacci search method to optimize phase change materials enhanced buildings with integrated solar photovoltaic thermal collectors," Energy, Elsevier, vol. 106(C), pages 23-37.
    19. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    20. Liu, Zhijian & Li, Yuanwei & Xu, Wei & Yin, Hang & Gao, Jun & Jin, Guangya & Lun, Liyong & Jin, Guohui, 2019. "Performance and feasibility study of hybrid ground source heat pump system assisted with cooling tower for one office building based on one Shanghai case," Energy, Elsevier, vol. 173(C), pages 28-37.

    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:147:y:2020:i:p1:p:249-264. 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.