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Spatial Data Assisted Ground Source Heat Pump Potential Analysis in China, a Case of Qingdao City
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0001-7354-6643
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0002-9902-2087
2019 (English)In: INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS / [ed] Yan, J Yang, HX Li, H Chen, X, ELSEVIER SCIENCE BV , 2019, p. 6099-6104Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, China faces challenges of further implementing heat pump technology for meeting building heating and cooling demand. The utilization of heat pumps, especially ground source heat pump (GSHP) is associated with a number of geological, hydrological as well as meteorological criteria. Thus it is essential to systematically address the feasibility of ground source heat pumps application using quantitative evaluation. Spatial data analysis is a method widely used in energy field to investigate renewable energy potential. Therefore, this study strives to provide an estimation of electricity driven GSHP's potential in north China using spatial data assisted tools. Followed by a case study using the methodology recommended, a spatial data assisted GSHP potential evaluation model is built for Qingdao city in north China. The evaluation model is constructed and analyzed through spatial data processing software visualized by ground source heat pump potential maps. The result maps show that, places with most potential of GSHP application locate in south Qingdao close to the sea. Such places have a higher ground extractable heat and relatively low drilling cost.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. p. 6099-6104
Series
Energy Procedia, ISSN 1876-6102 ; 158
Keywords [en]
spatial data analysis, ground source heat pump, China
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-255232DOI: 10.1016/j.egypro.2019.01.504ISI: 000471031706071Scopus ID: 2-s2.0-85063864787OAI: oai:DiVA.org:kth-255232DiVA, id: diva2:1339544
Conference
10th International Conference on Applied Energy (ICAE), AUG 22-25, 2018, Hong Kong, HONG KONG
Note

QC 20190730

Available from: 2019-07-30 Created: 2019-07-30 Last updated: 2019-08-02Bibliographically approved

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Su, ChangMadani Larijani, HatefPalm, Björn

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