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Integrating bibliometrics and roadmapping: A case of strategic promotion for the ground source heat pump in China

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  • Liao, Pin-Chao
  • Zhang, Kenan
  • Wang, Tao
  • Wang, Yanqing

Abstract

The ground source heat pump (GSHP) is one of the most promising energy-efficient technologies in development. However, the degree to which the application of GSHP has been promoted in China remains unsatisfactory. Critics of GSHP development in China have asserted that a more thorough understanding of GSHP is paramount for technology road mapping. This, in turn, has affected policymakers׳ development of regulations that facilitate R&D related to GSHP. Because many researchers have proposed specific terms and categorization approaches in relation to GSHP, it is imperative to transform and analyze a substantive knowledge system derived from massive amounts of qualitative information to produce a roadmap for the development of GSHP. To this end, we employed a bibiliometrics approach to analyze patent information. First, we engaged in semantic labeling of patent files and recorded the co-occurrence of the terms associated with the GSHP׳s ontology. Second, we employed an algorithm called the Fuzzy Overlapping Cluster (FOPC) to analyze the co-occurrence information. In doing so, we sought to classify patent data and further define sub-technologies associated with GSHP. Third, we used accumulative patent numbers to develop a logistic model for observing development trends related to each GHSP sub-technology. Fourth, we leveraged social network analysis to calculate and graphically illustrate interdependence among GSHP sub-technologies. The results these analytic approaches produce allowed us to conclude that (a) GSHP should be categorized into four sub-technologies: the water source heat pump, the ground coupled heat pump, the heat pump/system operation technique, and central air-conditioning system, and (b) the government should revise building codes and standards with a consideration of GCHP, as well as the heat pump/system operation techniques.

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  • Liao, Pin-Chao & Zhang, Kenan & Wang, Tao & Wang, Yanqing, 2016. "Integrating bibliometrics and roadmapping: A case of strategic promotion for the ground source heat pump in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 292-301.
  • Handle: RePEc:eee:rensus:v:57:y:2016:i:c:p:292-301
    DOI: 10.1016/j.rser.2015.12.080
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    References listed on IDEAS

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    7. Bi, Yuehong & Wang, Xinhong & Liu, Yun & Zhang, Hua & Chen, Lingen, 2009. "Comprehensive exergy analysis of a ground-source heat pump system for both building heating and cooling modes," Applied Energy, Elsevier, vol. 86(12), pages 2560-2565, December.
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    Cited by:

    1. Ding, Tao & Sun, Yuge & Huang, Can & Mu, Chenlu & Fan, Yuqi & Lin, Jiang & Qin, Yining, 2022. "Pathways of clean energy heating electrification programs for reducing carbon emissions in Northwest China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    2. Seyed Mahmoud Zanjirchi & Mina Rezaeian Abrishami & Negar Jalilian, 2019. "Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1289-1309, June.
    3. R. C. Assunção, Lorena & A. S. Mendes, Pietro & Matos, Stelvia & Borschiver, Suzana, 2021. "Technology roadmap of renewable natural gas: Identifying trends for research and development to improve biogas upgrading technology management," Applied Energy, Elsevier, vol. 292(C).
    4. Wenting Ma & Moon Keun Kim & Jianli Hao, 2019. "Numerical Simulation Modeling of a GSHP and WSHP System for an Office Building in the Hot Summer and Cold Winter Region of China: A Case Study in Suzhou," Sustainability, MDPI, vol. 11(12), pages 1-17, June.

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