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

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.

[1]  Ladislaus Rybach,et al.  GEOTHERMAL (GROUND-SOURCE) HEAT PUMPS A WORLD OVERVIEW , 2004 .

[2]  Yen-Liang Chen,et al.  An overlapping cluster algorithm to provide non-exhaustive clustering , 2006, Eur. J. Oper. Res..

[3]  Y. Bi,et al.  Comprehensive exergy analysis of a ground-source heat pump system for both building heating and cooling modes , 2009 .

[4]  Arif Hepbasli,et al.  A comparative study on exergetic assessment of two ground-source (geothermal) heat pump systems for residential applications , 2007 .

[5]  Yonghua Song,et al.  A Comprehensive Review on the Development of Sustainable Energy Strategy and Implementation in China , 2010, IEEE Transactions on Sustainable Energy.

[6]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[7]  James C. Bezdek,et al.  Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions , 1975, IEEE Transactions on Computers.

[8]  Xu We,et al.  Development and Prospect of Ground Source Heat Pump Technology in China , 2013 .

[9]  Stefano Usai,et al.  International patenting and national technological specialization , 1997 .

[10]  Wei Yang,et al.  Current status of ground-source heat pumps in China , 2010 .

[11]  Abdeen Mustafa Omer,et al.  Ground-source heat pumps systems and applications , 2008 .

[12]  Yao Xuan Huang,et al.  Modeling the Relationships of Factors Affecting Dissemination of Ground Source Heat Pump (GSHP) in China , 2013 .

[13]  Byungun Yoon,et al.  A text-mining-based patent network: Analytical tool for high-technology trend , 2004 .

[14]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..

[15]  Rajesh N. Davé,et al.  Validating fuzzy partitions obtained through c-shells clustering , 1996, Pattern Recognit. Lett..

[16]  Thomas Kölbel,et al.  CO2 savings of ground source heat pump systems – A regional analysis , 2010 .

[17]  Pin-Chao Liao,et al.  Ontology of ground source heat pump , 2015 .

[18]  Chin-Wang Tao,et al.  Unsupervised fuzzy clustering with multi-center clusters , 2002, Fuzzy Sets Syst..

[19]  Ian W. Johnston,et al.  Emerging geothermal energy technologies , 2011 .

[20]  Amy J. C. Trappey,et al.  Develop Non-Exhaustive Overlapping Partitioning Clustering for Patent Analysis Based on the Key Phrases Extracted Using Ontology Schema and Fuzzy Adaptive Resonance Theory , 2009 .

[21]  Jeffrey D. Spitler,et al.  Status and development of hybrid energy systems from hybrid ground source heat pump in China and other countries , 2014 .

[22]  Jiang Bao,et al.  Economic evaluation of ground source heat pump , 2003 .

[23]  Mustafa Inalli,et al.  Technoeconomic appraisal of a ground source heat pump system for a heating season in eastern Turkey , 2006 .

[24]  Jean Pierre Courtial,et al.  Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry , 1991, Scientometrics.

[25]  R. S. Campbell,et al.  Patent trends as a technological forecasting tool , 1983 .

[26]  Amy J. C. Trappey,et al.  Clustering patents using non-exhaustive overlaps , 2010 .

[27]  Miin-Shen Yang,et al.  On a class of fuzzy c-numbers clustering procedures for fuzzy data , 1996, Fuzzy Sets Syst..

[28]  Arif Hepbasli,et al.  Energy and exergy analysis of a ground source (geothermal) heat pump system , 2004 .

[29]  Amy J. C. Trappey,et al.  A Fuzzy Ontological Knowledge Document Clustering Methodology , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[30]  Ladislaus Rybach,et al.  Current status of ground source heat pumps and underground thermal energy storage in Europe , 2003 .