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.
This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
Mancarella P (2014) MES (multi-energy systems): An overview of concepts and evaluation models. Energy 65:1–17
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
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
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
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
Lee CISG, Felps W, Baruch Y (2014) Toward a taxonomy of career studies through bibliometric visualization. J Vocat Behav 85(3):339–351
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)
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
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
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
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
Kullenberg C, Nelhans G (2015) The happiness turn? Mapping the emergence of ‘happiness studies’ using cited references. Scientometrics 103(2):615–630
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).
About this article
Cite this article
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
- Multi-energy systems
- Knowledge development
- Bibliometric analysis
- Smart Grids