Advertisement

Energy Efficiency

, Volume 11, Issue 8, pp 1917–1939 | Cite as

Ten years of Energy Efficiency: a bibliometric analysis

  • Andrea TrianniEmail author
  • José M. Merigó
  • Paolo Bertoldi
Original Article

Abstract

Energy Efficiency is an international journal dedicated to research topics connected to energy with a focus on end-use efficiency issues. In 2018, the journal celebrates its 10th anniversary. In order to mark it and analyze not only how the journal has been performing over the years, but also which are the trends for academic debate and research in this journal, this article presents a bibliometric overview of the publication and citation structure of the journal during period 2008–2017. The study relies on the Web of Science Core Collection and the Scopus database to collect the bibliographic results. Additionally, the work exploits the visualization of similarities (VOS) viewer software to map graphically the bibliographic material. The research analyses the most cited papers and the most popular keywords. Moreover, the paper studies how the journal connects with other international journals and identifies the most productive authors, institutions, and countries. The results indicate that the journal has rapidly grown over the years, obtained a merited position in the scientific community, with contributions from authors all over the world (with Europe as the most productive region). Moreover, the journal has focused so far mainly on energy efficiency issues in close relationship with policies and incentives, corporate energy efficiency, consumer behavior, and demand-side management programs, with both industrial, building and transport sectors widely involved. Our discussion concludes with suggested future research avenues, in particular towards coordinated efforts from different disciplines (technical, economic, and sociopsychological ones) to address the emerging energy efficiency challenges.

Keywords

Energy efficiency Bibliometric analysis Co-citation VOS viewer 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F. (2009). H-index: a review focused on its variants, computation, and standardization for different scientific fields. Journal of Informetrics, 3(4), 273–289.CrossRefGoogle Scholar
  2. Barker, T., Dagoumas, A., & Rubin, J. (2009). The macroeconomic rebound effect and the world economy. Energy Efficiency, 2(4), 411–427.CrossRefGoogle Scholar
  3. Bergman, N., & Eyre, N. (2011). What role for microgeneration in a shift to a low carbon domestic energy sector in the UK? Energy Efficiency, 4(3), 335–353.CrossRefGoogle Scholar
  4. Bertoldi, P. (2008). Editorial. Energy Efficiency, 1(1), 1–3.MathSciNetzbMATHCrossRefGoogle Scholar
  5. Bertoldi, P., & Rezessy, S. (2008). Tradable white certificate schemes: fundamental concepts. Energy Efficiency, 1(4), 237–255.CrossRefGoogle Scholar
  6. Bertoldi, P., Rezessy, S., & Oikonomou, V. (2013). Rewarding energy savings rather than energy efficiency: exploring the concept of a feed-in tariff for energy savings. Energy Policy, 56, 526–535.CrossRefGoogle Scholar
  7. Bertoldi P., (2018). The Paris Agreement 1.5°C goal: what it does mean for energy efficiency?, In Proceedings of the 2018 ACEEE Summer Study on Energy Efficiency in Buildings.Google Scholar
  8. Bertoldi, P. (2019). Editorial note. Energy Efficiency, 11(8), 1.Google Scholar
  9. Bortoni, E. C., de Almeida, R. A., Carvalho, V., & Augusto, N. (2008). Optimization of parallel variable-speed-driven centrifugal pumps operation. Energy Efficiency, 1(3), 167–173.CrossRefGoogle Scholar
  10. Brown, M. A., Matt Cox, P. B., & Kim, Y. J. (2014). Evaluating the risks of alternative energy policies: a case study of industrial energy efficiency. Energy Efficiency, 7(1), 1–22.CrossRefGoogle Scholar
  11. Cagno, E., Worrell, E., Trianni, A., & Pugliese, G. (2013). A novel approach for barriers to industrial energy efficiency. Renewable and Sustainable Energy Reviews, 19, 290–308.CrossRefGoogle Scholar
  12. Caird, S., Roy, R., & Herring, H. (2008). Improving the energy performance of UK households: results from surveys of consumer adoption and use of low- and zero-carbon technologies. Energy Efficiency, 1(2), 149–166.CrossRefGoogle Scholar
  13. Caird, S., Royt, R., & Potter, S. (2012). Domestic heat pumps in the UK: user behaviour, satisfaction and performance. Energy Efficiency, 5(3), 283–301.CrossRefGoogle Scholar
  14. Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of Computers & Industrial Engineering: a bibliometric analysis. Computers & Industrial Engineering, 113, 614–629.CrossRefGoogle Scholar
  15. Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: review, analysis and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.CrossRefGoogle Scholar
  16. Cobo, M. J., Martínez, M. A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at Knowledge-Based Systems: a bibliometric analysis. Knowledge-Based Systems, 80, 3–13.CrossRefGoogle Scholar
  17. Cooremans, C. (2011). Make it strategic! Financial investment logic is not enough. Energy Efficiency, 4(4), 473–492.CrossRefGoogle Scholar
  18. Cooremans, C. (2012). Investment in energy efficiency: do the characteristics of investments matter? Energy Efficiency, 5(4), 497–518.CrossRefGoogle Scholar
  19. Cooper, A. M. G. (2018). Evaluating energy efficiency policy: understanding the ‘energy policy epistemology’ may explain the lack of demand for randomised controlled trials. Energy Efficiency, 11(4), 997–1008.CrossRefGoogle Scholar
  20. Ding, Y., Rousseau, R., & Wolfram, D. (2014). Measuring scholarly impact: methods and practice. Switzerland: Springer.CrossRefGoogle Scholar
  21. Du, H., Wei, L., Brown, M. A., Wang, Y., & Shi, Z. (2013). A bibliometric analysis of recent energy efficiency literatures: an expanding and shifting focus. Energy Efficiency, 6(1), 177–190.CrossRefGoogle Scholar
  22. [EC] European Commission Statement (2018). Energy efficiency first: Commission welcomes agreement on energy efficiency. Available at: http://europa.eu/rapid/press-release_STATEMENT-18-3997_en.htm
  23. Fischer, C. (2008). Feedback on household electricity consumption: a tool for energy saving? Energy Efficiency, 1(1), 79–104.CrossRefGoogle Scholar
  24. Geller, H., DeCicco, J., Laitner, S., & Dyson, C. (1994). Twenty years after the embargo US oil import dependence and how it can be reduced. Energy Policy, 22(6), 471–485.CrossRefGoogle Scholar
  25. Gram-Hanssen, K. (2013). Efficient technologies or user behaviour, which is the more important when reducing households’ energy consumption? Energy Efficiency, 6(3), 477–457.CrossRefGoogle Scholar
  26. Granderson, J., Piette, M. A., & Ghatikar, G. (2011). Building energy information systems: user case studies. Energy Efficiency, 4(1), 17–30.CrossRefGoogle Scholar
  27. Gynther, L., Mikkonen, I., & Smits, A. (2012). Evaluation of European energy behavioural change programmes. Energy Efficiency, 5(1), 67–82.CrossRefGoogle Scholar
  28. Grossman, P. Z. (2015). Energy shocks, crises and the policy process: a review of theory and application. Energy Policy, 77, 56–69.CrossRefGoogle Scholar
  29. Hansen, M., & Hauge, B. (2017). Prosumers and smart grid technologies in Denmark: developing user competences in smart grid households. Energy Efficiency, 10(5), 1215–1234.CrossRefGoogle Scholar
  30. Hasanbeigi, A., Menke, C., & duPont, P. (2010). Barriers to energy efficiency improvement and decision-making behavior in Thai industry. Energy Efficiency, 3(1), 33–52.CrossRefGoogle Scholar
  31. Harmelink, M., Nilsson, L., & Harmsen, R. (2008). Theory-based policy evaluation of 20 energy efficiency instruments. Energy Efficiency, 1(2), 131–148.CrossRefGoogle Scholar
  32. Harvey, L. D. D. (2009). Reducing energy use in the buildings sector: measures, costs, and examples. Energy Efficiency, 2(2), 139–163.CrossRefGoogle Scholar
  33. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572.zbMATHCrossRefGoogle Scholar
  34. Hirst, E., & Brown, M. A. (1990). Closing the efficiency gap: barriers to the efficient use of energy. Resources, Conservation and Recycling, 3, 267–281.CrossRefGoogle Scholar
  35. Iqtiyanillham, N., Hasanuzzaman, M., & Hosenuzzaman, M. (2017). European smart grid prospects, policies and challenges. Renewable and Sustainable Energy Reviews, 67, 776–790.CrossRefGoogle Scholar
  36. Jaffe, A. G., & Stavins, R. N. (1994). The energy-efficiency gap What does it mean? Energy Policy, 22(10), 804–810.CrossRefGoogle Scholar
  37. Ji, L., Liu, C., Huang, L., & Huang, G. (2018). The evolution of Resources Conservation and Recycling over the past 30 years: a bibliometric overview. Resources, Conservation & Recycling, 134, 34–43.CrossRefGoogle Scholar
  38. Johansson, M. T., & Söderstrom, M. (2014). Electricity generation from low-temperature industrial excess heat-an opportunity for the steel industry. Energy Efficiency, 7(2), 203–215.CrossRefGoogle Scholar
  39. Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25.CrossRefGoogle Scholar
  40. Kobayashi, S., Plotkin, S., & Ribeiro, S. K. (2009). Energy efficiency technologies for road vehicles. Energy Efficiency, 2(2), 125–137.CrossRefGoogle Scholar
  41. Laengle, S., Merigó, J. M., Miranda, J., Slowinski, R., Bomze, I., Borgonovo, E., Dyson, R. G., Oliveira, J. F., & Teunter, R. (2017). Forty years of the European Journal of Operational Research: a bibliometric overview. European Journal of Operational Research, 262(3), 803–816.zbMATHCrossRefGoogle Scholar
  42. Laengle, S., Modak, N. M., Merigó, J. M., & Zurita, G. (2018). Twenty-five years of Group Decision and Negotiation: a bibliometric overview. Group Decision and Negotiation, 27(4), 505–542.CrossRefGoogle Scholar
  43. Lechtenboehmer, S., & Schuering, A. (2011). The potential for large-scale savings from insulating residential buildings in the EU. Energy Efficiency, 4(2), 257–270.CrossRefGoogle Scholar
  44. Levinson, R., & Akbari, H. (2010). Potential benefits of cool roofs on commercial buildings: conserving energy, saving money, and reducing emission of greenhouse gases and air pollutants. Energy Efficiency, 3(1), 53–109.CrossRefGoogle Scholar
  45. Liang, Q. M., Fan, Y., & Wei, Y. M. (2009). The effect of energy end-use efficiency improvement on China's energy use and CO2 emissions: a CGE model-based analysis. Energy Efficiency, 2(3), 243–262.CrossRefGoogle Scholar
  46. Lund, H., Werner, S., Wiltshire, R., Svendsen, S., Thorsen, J. E., Hvelpund, F., & Vad Mathiesen, B. (2014). 4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems. Energy, 68, 1–11.CrossRefGoogle Scholar
  47. Mallaburn, P. S., & Eyre, N. (2014). Lessons from energy efficiency policy and programmes in the UK from 1973 to 2013. Energy Efficiency, 7(1), 23–41.CrossRefGoogle Scholar
  48. Merigó, J. M., Blanco-Mesa, F., Gil-Lafuente, A. M., & Yager, R. R. (2017). Thirty years of the International Journal of Intelligent Systems: a bibliometric review. International Journal of Intelligent Systems, 32, 526–554.CrossRefGoogle Scholar
  49. Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometrics indicators. Applied Soft Computing, 27, 420–433.CrossRefGoogle Scholar
  50. Merigó, J. M., Pedrycz, W., Weber, R., & de la Sotta, C. (2018). Fifty years of information sciences: a bibliometric overview. Information Sciences, 432, 245–268.MathSciNetCrossRefGoogle Scholar
  51. Merigó, J. M., & Yang, J. B. (2017). A bibliometric overview of operations research & management science. Omega – International Journal of Management Science, 73, 37–48.CrossRefGoogle Scholar
  52. Mills, E. (2011). Building commissioning: a golden opportunity for reducing energy costs and greenhouse gas emissions in the United States. Energy Efficiency, 4(2), 145–173.CrossRefGoogle Scholar
  53. Murakami, S., Levine, M. D., Yoshino, H., Inoue, T., Ikaga, T., Shimoda, Y., Miura, S., Sera, T., Nishio, M., Sakamoto, y., & Fujisaki, W. (2009). Overview of energy consumption and GHG mitigation technologies in the building sector of Japan. Energy Efficiency, 2(2), 178–194.CrossRefGoogle Scholar
  54. Nassen, J., & Holmberg, J. (2009). Quantifying the rebound effects of energy efficiency improvements and energy conserving behaviour in Sweden. Energy Efficiency, 2(3), 221–231.CrossRefGoogle Scholar
  55. Nehler, T. (2018). Linking energy efficiency measures in industrial compressed air systems with non-energy benefits – a review. Renewable and Sustainable Energy Reviews, 89, 72–87.CrossRefGoogle Scholar
  56. Nehler, T., Parra, R., & Thollander, P. (2018). Implementation of energy efficiency measures in compressed air systems: barriers, drivers and non-energy benefits. Energy Efficiency, 11(5), 1281–1302.CrossRefGoogle Scholar
  57. Nyborg, S., & Ropke, I. (2013). Constructing users in the smart grid-insights from the Danish eFlex project. Energy Efficiency, 6(4), 655–670.CrossRefGoogle Scholar
  58. Pakula, C., & Stamminger, R. (2010). Electricity and water consumption for laundry washing by washing machine worldwide. Energy Efficiency, 3(4), 365–382.CrossRefGoogle Scholar
  59. Palmer, K., Walls, M., Gordon, H., & Gerarden, T. (2013). Assessing the energy-efficiency information gap: results from a survey of home energy auditors. Energy Efficiency, 6(2), 271–292.CrossRefGoogle Scholar
  60. Pierre, M., Jemelin, C., & Louvet, N. (2011). Driving an electric vehicle. A sociological analysis on pioneer users. Energy Efficiency, 4(4), 511–522.CrossRefGoogle Scholar
  61. Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P., & Bachrach, D. G. (2008). Scholarly influence in the field of management: A bibliometric analysis of the determinants of university and author impact in the management literature in the past quarter century. Journal of Management, 34, 641–720.Google Scholar
  62. Rüdiger, M. (2019). From import dependence to self-sufficiency in Denmark 1945−2000. Energy Policy, 125, 82–89.  https://doi.org/10.1016/j.enpol.2018.10.050.
  63. Ruzzenenti F., Bertoldi P. (2017) Energy conservation policies in the light of the energetics of evolution. In: Labanca N. (eds) complex systems and social practices in energy transitions. Green energy and technology. Springer.Google Scholar
  64. Schleich, J., Rogge, K., & Betz, R. (2009). Incentives for energy efficiency in the EU emissions trading scheme. Energy Efficiency, 2(1), 37–67.CrossRefGoogle Scholar
  65. Schneider, U. A., & Smith, P. (2009). Energy intensities and greenhouse gas emission mitigation in global agriculture. Energy Efficiency, 2(2), 195–206.CrossRefGoogle Scholar
  66. Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24, 265–269.Google Scholar
  67. Sorove, K. L., & Nilsson, L. J. (2010). Building a business to close the efficiency gap: the Swedish ESCO experience. Energy Efficiency, 3(3), 237–256.CrossRefGoogle Scholar
  68. Sorrell, S., O’Malley, E., Schleich, J., & Scott, S. (2004). The economics of energy efficiency (p. 349). Cheltenham, UK: Edward Elgar Publishing p.Google Scholar
  69. Stenqvist, C., & Nilsson, L. J. (2012). Energy efficiency in energy-intensive industries-an evaluation of the Swedish voluntary agreement PFE. Energy Efficiency, 5(2), 225–241.CrossRefGoogle Scholar
  70. Thollander, P., Danestig, M., & Rohdin, P. (2007). Energy policies for increased industrial energy efficiency: Evaluation of a local energy programme for manufacturing SMEs. Energy Policy, 35, 5774–5783.CrossRefGoogle Scholar
  71. Thollander, P., & Ottosson, M. (2008). An energy efficient Swedish pulp and paper industry - exploring barriers to and driving forces for cost-effective energy efficiency investments. Energy Efficiency, 1(1), 21–34.CrossRefGoogle Scholar
  72. Tur-Porcar, A., Mas-Tur, A., Merigó, J. M., Roig-Tierno, N., & Watt, J. (2018). A bibliometric history of the Journal of Psychology between 1936 and 2015. Journal of Psychology, 152, 199–225.CrossRefGoogle Scholar
  73. Uerge-Vorsatz, D., Novikova, A., Koeppe, S., & Boza-Kiss, B. (2009). Bottom-up assessment of potentials and costs of CO2 emission mitigation in the buildings sector: insights into the missing elements. Energy Efficiency, 2(4), 293–316.CrossRefGoogle Scholar
  74. Valenzuela, L., Merigó, J. M., Johnston, W., Nicolás, C., & Jaramillo, F. (2017). Thirty years of the Journal of Business & Industrial Marketing: a bibliometric analysis. Journal of Business & Industrial Marketing, 32(1), 1–18.CrossRefGoogle Scholar
  75. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.CrossRefGoogle Scholar
  76. Vine, E. (2008). Breaking down the silos: the integration of energy efficiency, renewable energy, demand response and climate change. Energy Efficiency, 1(1), 49–63.MathSciNetCrossRefGoogle Scholar
  77. Wang, W., Laengle, S., Merigó, J. M., Yu, D., Herrera-Viedma, E., Cobo, M. J., & Bouchon-Meunier, B. (2018). A bibliometric analysis of the first twenty-five years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 26, 169–193.CrossRefGoogle Scholar
  78. Wilhite, H. (2008). New thinking on the agentive relationship between end-use technologies and energy-using practices. Energy Efficiency, 1(2), 121–130.CrossRefGoogle Scholar
  79. Worrell, E., Bernstein, L., Roy, J., Price, L., & Harnisch, J. (2009). Industrial energy efficiency and climate change mitigation. Energy Efficiency, 2(2), 109–123.CrossRefGoogle Scholar
  80. Wu, A. H., Cao, Y. Y., & Liu, B. (2014). Energy efficiency evaluation for regions in China: an application of DEA and Malmquist indices. Energy Efficiency, 7(3), 429–439.CrossRefGoogle Scholar
  81. Yu, H., Pan, S. Y., Tang, B. J., Tang, B. J., Mi, Z. F., Zhang, Y., & Wei, Y. M. (2015). Urban energy consumption and CO2 emissions in Beijing: current and future. Energy Efficiency, 8(3), 527–543.CrossRefGoogle Scholar
  82. Yu, D., Xu, Z. S., Pedrycz, W., & Wang, W. R. (2017). Information Sciences 1968-2016: a retrospective analysis with text mining and bibliometric. Information Sciences, 418-419, 619–634.CrossRefGoogle Scholar
  83. Yu, D., Xu, Z. S., Kao, Y., & Lin, C. T. (2018a). The structure and citation landscape of IEEE Transactions on Fuzzy Systems (1994-2015). IEEE Transactions on Fuzzy Systems, 26(2), 430–442.CrossRefGoogle Scholar
  84. Yu, D., Xu, Z. S., & Fujita, H. (2018b). Bibliometric analysis on the evolution of applied intelligence. Applied Intelligence.  https://doi.org/10.1007/s10489-018-1278-z.
  85. Zou, H. Y., Du, H. B., Wang, Y., Zhao, L., Mao, G., Zuo, J., Liu, Y., Liu, X., & Huisingh, D. (2017). A review of the first twenty-three years of articles published in the journal of cleaner production: with a focus on trends, themes, collaboration networks, low/no-fossil carbon transformations and the future. Journal of Cleaner Production, 163, 1–14.CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Andrea Trianni
    • 1
    Email author
  • José M. Merigó
    • 1
    • 2
  • Paolo Bertoldi
    • 3
  1. 1.School of Information, Systems and Modelling, Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoAustralia
  2. 2.Department of Management Control and Information Systems, School of Economics and BusinessUniversity of ChileSantiagoChile
  3. 3.Directorate for Energy, Transport and Climate, European Commission Directorate General Joint Research CentreIspraItaly

Personalised recommendations