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What a MES(s)! A bibliometric analysis of the evolution of research on multi-energy systems

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Abstract

Multi-energy systems combine different energy vectors (e.g. electricity, heat, cooling) and operate at different levels (e.g. building, district, and region). Although in theory, multi-energy systems should allow for lower carbon impacts compared to systems in which single energy vectors are considered individually, implementation of multi-energy systems is often difficult due to the number of technologies and actors involved and the complexity of their interactions. In this article, we conduct a bibliometric analysis based on over 20,000 articles from the Web of Science to investigate how knowledge on two important multi-energy systems, Microgrids and Smart Grids, has developed. Our findings identify areas that have been under-researched to date, offer a means of transferring learning between different multi-energy systems and provide practical guidance for the implementation of multi-energy systems.

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References

  1. 1.

    Mancarella P (2014) MES (multi-energy systems): An overview of concepts and evaluation models. Energy 65:1–17

  2. 2.

    Manfren M, Caputo P, Costa G (2011) Paradigm shift in urban energy systems through distributed generation: Methods and models. Appl Energy 88(4):1032–1048

  3. 3.

    Coll-Mayor D, Paget M, Lightner E (2007) Future intelligent power grids: Analysis of the vision in the European Union and the United States. Energy Policy 35(4):2453–2465

  4. 4.

    Krause T, Kienzle F, Andersson G (2011) Modeling interconnected national energy systems using an energy hub approach. In: 2011 IEEE Trondheim PowerTech, pp 1–7

  5. 5.

    Erlinghagen S, Markard J (2012) Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change. Energy Policy 51:895–906

  6. 6.

    Lee CISG, Felps W, Baruch Y (2014) Toward a taxonomy of career studies through bibliometric visualization. J Vocat Behav 85(3):339–351

  7. 7.

    Markoulli M, Lee CISG, Byington E, Felps W (2017) Mapping Human Resource Management: Reviewing the field and charting future directions. Hum Resour Manage R (forthcoming)

  8. 8.

    Lee PC, Su HN (2011) Quantitative mapping of scientific research—the case of electrical conducting polymer nanocomposite. Technol Forecast Soc Change 78(1):132–151

  9. 9.

    Rizzi F, van Eck NJ, Frey M (2014) The production of scientific knowledge on renewable energies: Worldwide trends, dynamics and challenges and implications for management. Renew Energy 62:657–671

  10. 10.

    Leydesdorff L, Heimeriks G, Rotolo D (2016) Journal Portfolio Analysis for countries, cities, and organizations: Maps and comparisons. J Assoc Inf Sci Technol 67(3):741–748

  11. 11.

    Han YJ (2015) Analysis of essential patent portfolios via bibliometric mapping: an illustration of leading firms in the 4G era. Technol Anal Strateg Manag 27(7):809–839

  12. 12.

    Kullenberg C, Nelhans G (2015) The happiness turn? Mapping the emergence of ‘happiness studies’ using cited references. Scientometrics 103(2):615–630

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Acknowledgments

The work in this study is related to the ‘Future Energy Efficient Buildings and Districts’ (FEEB&D) project funded by CTI’s Swiss Competence Center for Energy Research (SCCER) (KTI.1155000149).

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Correspondence to J. Meuer.

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Balakrishnan, D., Haney, A.B. & Meuer, J. What a MES(s)! A bibliometric analysis of the evolution of research on multi-energy systems. Electr Eng 98, 369–374 (2016). https://doi.org/10.1007/s00202-016-0427-9

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Keywords

  • Multi-energy systems
  • Knowledge development
  • Bibliometric analysis
  • Smart Grids
  • Microgrids