IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v32y2007i15p2603-2616.html
   My bibliography  Save this article

District cooling and heating with seawater as heat source and sink in Dalian, China

Author

Listed:
  • Zhen, Li
  • Lin, D.M.
  • Shu, H.W.
  • Jiang, Shuang
  • Zhu, Y.X.

Abstract

This paper presents a study on the utilization of ocean thermal energy in Dalian. Coastal areas are ideal sites for the application of seawater-source heat pump technology (SWHP) to provide district cooling and heating. The technical requirements and the scheme design in the context of marine climate are discussed. A government-commissioned feasibility study of a proposed district energy site in Dalian, with an estimated 68MW heating load and 76MW cooling load plant capacity is then described. The economic, energy and environmental impacts are analyzed. In order to get a better understanding of economic justification and benefits of two different systems, annual cost (AC) and net present value (NPV), are used. A series of sensitivity analyses are undertaken to investigate the magnitude of the effect of the parameters variation on cost calculation. The numerical simulations of seawater temperature field are performed by using a two-dimensional convection–diffusion equation model to evaluate environmental impacts. Study indicates that Dalian has great potential for applying SWHP system. It is both technically and economically feasible because of the favorable geographical location and urban environment.

Suggested Citation

  • Zhen, Li & Lin, D.M. & Shu, H.W. & Jiang, Shuang & Zhu, Y.X., 2007. "District cooling and heating with seawater as heat source and sink in Dalian, China," Renewable Energy, Elsevier, vol. 32(15), pages 2603-2616.
  • Handle: RePEc:eee:renene:v:32:y:2007:i:15:p:2603-2616
    DOI: 10.1016/j.renene.2006.12.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148107000055
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2006.12.015?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. Chow, T. T. & Au, W. H. & Yau, Raymond & Cheng, Vincent & Chan, Apple & Fong, K. F., 2004. "Applying district-cooling technology in Hong Kong," Applied Energy, Elsevier, vol. 79(3), pages 275-289, November.
    2. Yao, Runming & Li, Baizhan & Steemers, Koen, 2005. "Energy policy and standard for built environment in China," Renewable Energy, Elsevier, vol. 30(13), pages 1973-1988.
    Full references (including those not matched with items on IDEAS)

    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. Liu, Wenling & Zhang, Jinyun & Bluemling, Bettina & Mol, Arthur P.J. & Wang, Can, 2015. "Public participation in energy saving retrofitting of residential buildings in China," Applied Energy, Elsevier, vol. 147(C), pages 287-296.
    2. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Evaluation of the cost of using power plant reject heat in low-temperature district heating and cooling networks," Applied Energy, Elsevier, vol. 162(C), pages 892-907.
    3. Yu, Jinghua & Yang, Changzhi & Tian, Liwei & Liao, Dan, 2009. "Evaluation on energy and thermal performance for residential envelopes in hot summer and cold winter zone of China," Applied Energy, Elsevier, vol. 86(10), pages 1970-1985, October.
    4. Richerzhagen, Carmen & Scholz, Imme, 2008. "China's Capacities for Mitigating Climate Change," World Development, Elsevier, vol. 36(2), pages 308-324, February.
    5. Chang, Yuan & Ries, Robert J. & Wang, Yaowu, 2010. "The embodied energy and environmental emissions of construction projects in China: An economic input-output LCA model," Energy Policy, Elsevier, vol. 38(11), pages 6597-6603, November.
    6. 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.
    7. Li, Huan & Carrión-Flores, Carmen E., 2017. "An analysis of the ENERGY STAR® program in Alachua County, Florida," Ecological Economics, Elsevier, vol. 131(C), pages 98-108.
    8. Bai, Lujian & Yang, Liu & Song, Bing & Liu, Na, 2020. "A new approach to develop a climate classification for building energy efficiency addressing Chinese climate characteristics," Energy, Elsevier, vol. 195(C).
    9. Li, Baizhan & Yao, Runming, 2009. "Urbanisation and its impact on building energy consumption and efficiency in China," Renewable Energy, Elsevier, vol. 34(9), pages 1994-1998.
    10. Chwieduk, Dorota A., 2017. "Towards modern options of energy conservation in buildings," Renewable Energy, Elsevier, vol. 101(C), pages 1194-1202.
    11. Wan, Kevin K.W. & Tang, H.L. & Yang, Liu & Lam, Joseph C., 2008. "An analysis of thermal and solar zone radiation models using an Angstrom–Prescott equation and artificial neural networks," Energy, Elsevier, vol. 33(7), pages 1115-1127.
    12. Ahmed Salih Mohammed & Panagiotis G. Asteris & Mohammadreza Koopialipoor & Dimitrios E. Alexakis & Minas E. Lemonis & Danial Jahed Armaghani, 2021. "Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    13. Pan, Wei & Qin, Hao & Zhao, Yisong, 2017. "Challenges for energy and carbon modeling of high-rise buildings: The case of public housing in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 208-218.
    14. Zhang, Lin, 2013. "Model projections and policy reviews for energy saving in China's service sector," Energy Policy, Elsevier, vol. 59(C), pages 312-320.
    15. Didi van Doren & Peter PJ Driessen & Hens Runhaar & Mendel Giezen, 2018. "Scaling-up low-carbon urban initiatives: Towards a better understanding," Urban Studies, Urban Studies Journal Limited, vol. 55(1), pages 175-194, January.
    16. Yang, Liu & Wan, Kevin K.W. & Li, Danny H.W. & Lam, Joseph C., 2011. "A new method to develop typical weather years in different climates for building energy use studies," Energy, Elsevier, vol. 36(10), pages 6121-6129.
    17. Yan, Chengchu & Gang, Wenjie & Niu, Xiaofeng & Peng, Xujian & Wang, Shengwei, 2017. "Quantitative evaluation of the impact of building load characteristics on energy performance of district cooling systems," Applied Energy, Elsevier, vol. 205(C), pages 635-643.
    18. An, Jingjing & Yan, Da & Hong, Tianzhen & Sun, Kaiyu, 2017. "A novel stochastic modeling method to simulate cooling loads in residential districts," Applied Energy, Elsevier, vol. 206(C), pages 134-149.
    19. Hossein Moayedi & Bao Le Van, 2022. "The Applicability of Biogeography-Based Optimization and Earthworm Optimization Algorithm Hybridized with ANFIS as Reliable Solutions in Estimation of Cooling Load in Buildings," Energies, MDPI, vol. 15(19), pages 1-17, October.
    20. Shu, Haiwen & Duanmu, Lin & Zhang, Chaohui & Zhu, Yingxin, 2010. "Study on the decision-making of district cooling and heating systems by means of value engineering," Renewable Energy, Elsevier, vol. 35(9), pages 1929-1939.

    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:32:y:2007:i:15:p:2603-2616. 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.