Energy communities: Insights from scientific publications
DOI:
https://doi.org/10.24136/oc.3137Keywords:
energy communities, bibliometrics, generative models, text analytics, energy sustainability, energy resilienceAbstract
Research background: Over the last ten years, a substantial amount of scholarly research has delved into energy communities (ECs) from diverse viewpoints. These ECs are extremely important in setting the pathway to a clean energy transition.
Purpose of the article: Our objective is to glean valuable insights from publications indexed in the Web of Science (WoS) database to deepen our comprehension of ECs and their academic discourse.
Methods: Data analytics, factorial analysis, and more complex natural language processing (NLP) techniques such as latent Dirichlet allocation (LDA) are implemented to extract valuable insights from over 1000 WoS publications relevant in the EC field. The primary contribution of this study lies in furnishing details regarding the key contributors to the EC scholarly landscape, including authors, their affiliations, universities, and countries of origin. Additionally, we aim to elucidate the prevalent keywords and thematic approaches employed in their research endeavors.
Findings & value added: Considering the extracted dataset, an annual growth rate of 21.15% has been recorded, highlighting the research community’s interest in the field of ECs. Furthermore, three topics are optimally obtained. Overall, a coherence score of 0.44 suggests that the LDA model performs adequately in terms of topic interpretation. Topic 1 relates to community-based energy initiatives. Topic 2, featuring terms like “grid,” “study” and “EU” alongside “energy” and “community,” suggests a focus on energy systems. Topic 3 includes terms such as “generation,” “analysis” and “consumption,” indicating a topic that is centered around the technical or analytical aspects of energy production and usage. This study underscores how the alignment between state laws and EU directives in supporting ECs can serve as a model for other regions. The findings suggest that similar policy frameworks could be effectively adapted to different national contexts, providing valuable insights for countries looking to enhance their renewable energy strategies.
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References
Alwall, J., Herquet, M., Maltoni, F., Mattelaer, O., & Stelzer, T. (2011). MadGraph 5: Going beyond. Journal of High Energy Physics, 2011(6), 128. DOI: https://doi.org/10.1007/JHEP06(2011)128
View in Google Scholar
Andrei, T., Mirică, A., & Petcu, I.-R. (2023). Kahoot! A bibliometric analysis using Web of Science Data. In A. M. Dima & V. M. Vargas (Eds.). Geopolitical perspectives and technological challenges for sustainable growth in the 21st century (pp. 54–63). Sciendo. DOI: https://doi.org/10.2478/9788367405546-006
View in Google Scholar
Badea, A.-M., Holotă, A., & Drăgoi, C. (2023). Bibliometric analysis and literature review on digitalisation and geopolitical impact of the agri-food system. In A. M. Dima & V. M. Vargas (Eds.). Geopolitical perspectives and technological challenges for sustainable growth in the 21st century (pp. 188–200). Sciendo. DOI: https://doi.org/10.2478/9788367405546-019
View in Google Scholar
Bakır, M., Özdemir, E., Akan, Ş., & Atalık, Ö. (2022). A bibliometric analysis of airport service quality. Journal of Air Transport Management, 104, 102273. DOI: https://doi.org/10.1016/j.jairtraman.2022.102273
View in Google Scholar
Bâra, A., & Oprea, S. V. (2023). A holistic view on business model-oriented energy communities. Kybernetes. DOI: https://doi.org/10.1108/K-07-2023-1235
View in Google Scholar
Bauwens, T. (2019). Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders. Energy Policy, 129, 841–852. DOI: https://doi.org/10.1016/j.enpol.2019.02.067
View in Google Scholar
Bellini, F., Campana, P., Censi, R., Di Renzo, M., & Tarola, A. M. (2024). Energy communities in the transition to renewable sources: Innovative models of energy self-sufficiency through organic waste. Energies, 17(15), 15. DOI: https://doi.org/10.3390/en17153789
View in Google Scholar
Brunelli, L., Borri, E., Pisello, A. L., Nicolini, A., Mateu, C., & Cabeza, L. F. (2024). Thermal energy storage in energy communities: A perspective overview through a bibliometric analysis. Sustainability, 16(14), 14. DOI: https://doi.org/10.3390/su16145895
View in Google Scholar
Busch, H., Ruggiero, S., Isakovic, A., & Hansen, T. (2021). Policy challenges to community energy in the EU: A systematic review of the scientific literature. Renewable and Sustainable Energy Reviews, 151, 111535. DOI: https://doi.org/10.1016/j.rser.2021.111535
View in Google Scholar
Chiba, A., Kiyota, K., Hoshi, N., Takemoto, M., & Ogasawara, S. (2015). Development of a rare-earth-free SR motor with high torque density for hybrid vehicles. IEEE Transactions on Energy Conversion, 30(1), 175–182. DOI: https://doi.org/10.1109/TEC.2014.2343962
View in Google Scholar
Cibu, B., Delcea, C., Domenteanu, A., & Dumitrescu, G. (2023). Mapping the evolution of cybernetics: A bibliometric perspective. Computers, 12(11), 11. DOI: https://doi.org/10.3390/computers12110237
View in Google Scholar
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. DOI: https://doi.org/10.1016/j.knosys.2014.12.035
View in Google Scholar
Cramarenco, R. E., Burca-Voicu, M. I., & Dabija, D.-C. (2023). The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review. Oeconomia Copernicana, 14(3), 731–767. DOI: https://doi.org/10.24136/oc.2023.022
View in Google Scholar
Crawley, D. B., Hand, J. W., Kummert, M., & Griffith, B. T. (2008). Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4), 661–673. DOI: https://doi.org/10.1016/j.buildenv.2006.10.027
View in Google Scholar
Crețu, R. F., Țuțui, D., Banța, V. C., Șerban, E. C., Barna, L. E. L., & Crețu, R. C. (2024). The effects of the implementation of artificial intelligence-based technologies on the skills needed in the automotive industry—A bibliometric analysis. Amfiteatru Economic.
View in Google Scholar
de la Cruz-Lovera, C., Perea-Moreno, A.-J., de la Cruz-Fernández, J. L., G. Montoya, F., Alcayde, A., & Manzano-Agugliaro, F. (2019). Analysis of research topics and scientific collaborations in energy saving using bibliometric techniques and community detection. Energies, 12(10), 10. DOI: https://doi.org/10.3390/en12102030
View in Google Scholar
Desai, N., Veras, L., & Gosain, A. (2018). Using Bradford’s law of scattering to identify the core journals of pediatric surgery. Journal of Surgical Research, 229, 90–95. DOI: https://doi.org/10.1016/j.jss.2018.03.062
View in Google Scholar
Directorate-General for Energy (2022). In focus: Energy communities to transform the EU’s energy system - European Commission. https://energy.ec.europa.eu/ news/focus-energy-communities-transform-eus-energy-system-2022-12-13_en.
View in Google Scholar
Dóci, G., Vasileiadou, E., & Petersen, A. C. (2015). Exploring the transition potential of renewable energy communities. Futures, 66, 85–95. DOI: https://doi.org/10.1016/j.futures.2015.01.002
View in Google Scholar
Domenteanu, A., Delcea, C., Chiriță, N., & Ioanăș, C. (2023). From data to insights: A bibliometric assessment of agent-based modeling applications in transportation. Applied Sciences, 13(23), 23. DOI: https://doi.org/10.3390/app132312693
View in Google Scholar
Dominković, D. F., Weinand, J. M., Scheller, F., D’Andrea, M., & McKenna, R. (2022). Reviewing two decades of energy system analysis with bibliometrics. Renewable and Sustainable Energy Reviews, 153, 111749. DOI: https://doi.org/10.1016/j.rser.2021.111749
View in Google Scholar
Donner, P. (2017). Document type assignment accuracy in the journal citation index data of Web of Science. Scientometrics, 113(1), 219–236. DOI: https://doi.org/10.1007/s11192-017-2483-y
View in Google Scholar
European Commission (2023). Clean energy for all Europeans package. https://energy.ec.europa.eu/topics/energy-strategy/clean-energy-all-europeans-package_en.
View in Google Scholar
European Commission (2024). Renewable Energy Directive. https://energy.ec.europa.eu/topics/renewable-energy/renewable-energy-directive-targets-and-rules/renewable-energy-directive_en.
View in Google Scholar
Fatma, N., & Haleem, A. (2023). Exploring the nexus of eco-innovation and sustainable development: A bibliometric review and analysis. Sustainability, 15(16), 12281. DOI: https://doi.org/10.3390/su151612281
View in Google Scholar
Fina, B., Monsberger, C., & Auer, H. (2022). A framework to estimate the large-scale impacts of energy community roll-out. Heliyon, 8(7), e09905. DOI: https://doi.org/10.1016/j.heliyon.2022.e09905
View in Google Scholar
Goia Agoston, S. I., Igret, R. S., Marinas, C. V., Olariu, A. A., & Roman, M. (2022). Internships, skills and employability: Mapping the field through a bibliometric analysis. Economic Computation and Economic Cybernetics Studies and Research, 56(3/2022), 331–348. DOI: https://doi.org/10.24818/18423264/56.3.22.21
View in Google Scholar
Gorski, A.-T., Ranf, E.-D., Badea, D., Halmaghi, E.-E., & Gorski, H. (2023). Education for sustainability—some bibliometric insights. Sustainability, 15(20), 14916. DOI: https://doi.org/10.3390/su152014916
View in Google Scholar
Guerreiro, S., & Botetzagias, I. (2018). Empowering communities – the role of intermediary organisations in community renewable energy projects in Indonesia. Local Environment, 23(2), 158–177. DOI: https://doi.org/10.1080/13549839.2017.1394830
View in Google Scholar
Gui, E. M., & MacGill, I. (2018). Typology of future clean energy communities: An exploratory structure, opportunities, and challenges. Energy Research & Social Science, 35, 94–107. DOI: https://doi.org/10.1016/j.erss.2017.10.019
View in Google Scholar
Hartmann, K., & Palm, J. (2023). The role of thermal energy communities in Germany’s heating transition. Frontiers in Sustainable Cities, 4. DOI: https://doi.org/10.3389/frsc.2022.1027148
View in Google Scholar
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. DOI: https://doi.org/10.1073/pnas.0507655102
View in Google Scholar
Ilie Marin, N., Turcea, V.-C., Steriu Marin, I., & Oprea, I.-A. (2022). Romanian smart villages conceptualization and bibliometric analysis. In A. M. Dima & V. M. Vargas (Eds.). Proceedings of the international conference on economics and social sciences (pp. 87–98). Sciendo. DOI: https://doi.org/10.2478/9788367405072-009
View in Google Scholar
Inês, C., Guilherme, P. L., Esther, M.-G., Swantje, G., Stephen, H., & Lars, H. (2020). Regulatory challenges and opportunities for collective renewable energy prosumers in the EU. Energy Policy, 138, 111212. DOI: https://doi.org/10.1016/j.enpol.2019.111212
View in Google Scholar
Jackson Inderberg, T. H., Sæle, H., Westskog, H., & Winther, T. (2020). The dynamics of solar prosuming: Exploring interconnections between actor groups in Norway. Energy Research & Social Science, 70, 101816. DOI: https://doi.org/10.1016/j.erss.2020.101816
View in Google Scholar
Kemeç, A., & Altınay, A. T. (2023). Sustainable energy research trend: A bibliometric analysis using VOSviewer, RStudio Bibliometrix, and CiteSpace software tools. Sustainability, 15(4), 3618. DOI: https://doi.org/10.3390/su15043618
View in Google Scholar
Koirala, B. P., Araghi, Y., Kroesen, M., Ghorbani, A., Hakvoort, R. A., & Herder, P. M. (2018). Trust, awareness, and independence: Insights from a socio-psychological factor analysis of citizen knowledge and participation in community energy systems. Energy Research & Social Science, 38, 33–40. DOI: https://doi.org/10.1016/j.erss.2018.01.009
View in Google Scholar
Kubli, M., & Puranik, S. (2023). A typology of business models for energy communities: Current and emerging design options. Renewable and Sustainable Energy Reviews, 176, 113165. DOI: https://doi.org/10.1016/j.rser.2023.113165
View in Google Scholar
Lezama, F., Soares, J., Hernandez-Leal, P., Kaisers, M., Pinto, T., & Vale, Z. (2019). Local energy markets: Paving the path toward fully transactive energy systems. IEEE Transactions on Power Systems, 34(5), 4081–4088. DOI: https://doi.org/10.1109/TPWRS.2018.2833959
View in Google Scholar
Li, N., & Okur, Ö. (2023). Economic analysis of energy communities: Investment options and cost allocation. Applied Energy, 336, 120706. DOI: https://doi.org/10.1016/j.apenergy.2023.120706
View in Google Scholar
Liu, F. (2023). Retrieval strategy and possible explanations for the abnormal growth of research publications: Re-evaluating a bibliometric analysis of climate change. Scientometrics, 128(1), 853–859. DOI: https://doi.org/10.1007/s11192-022-04540-1
View in Google Scholar
Liu, W. (2019). The data source of this study is Web of Science Core Collection? Not enough. Scientometrics, 121(3), 1815–1824. DOI: https://doi.org/10.1007/s11192-019-03238-1
View in Google Scholar
Lode, M. L., Heuninckx, S., te Boveldt, G., Macharis, C., & Coosemans, T. (2022). Designing successful energy communities: A comparison of seven pilots in Europe applying the Multi-Actor Multi-Criteria Analysis. Energy Research & Social Science, 90, 102671. DOI: https://doi.org/10.1016/j.erss.2022.102671
View in Google Scholar
Lowitzsch, J., Hoicka, C. E., & van Tulder, F. J. (2020). Renewable energy communities under the 2019 European Clean Energy Package – Governance model for the energy clusters of the future? Renewable and Sustainable Energy Reviews, 122, 109489. DOI: https://doi.org/10.1016/j.rser.2019.109489
View in Google Scholar
M-Index Calculator (2024). Calculator Academy. https://calculator.academy/m-index-calculator/.
View in Google Scholar
Muhtar, E. A., Rusli, B., Karlina, N., Candradewini, C., & Muharam, R. S. (2021). Bibliometric analysis and visualization of energy economics and policy in Scopus from 2010 to 2021. International Journal of Energy Economics and Policy, 11(6), 503–507. DOI: https://doi.org/10.32479/ijeep.11848
View in Google Scholar
Mulet-Forteza, C., Martorell-Cunill, O., Merigó, J. M., Genovart-Balaguer, J., & Mauleon-Mendez, E. (2018). Twenty five years of the Journal of Travel & Tourism Marketing: A bibliometric ranking. Journal of Travel & Tourism Marketing, 35(9), 1201–1221. DOI: https://doi.org/10.1080/10548408.2018.1487368
View in Google Scholar
Murafa, C., & Adamescu, A. (2024). Comunitățile de energie, o soluție pentru reducerea facturilor la energie—Romania Pozitiva. Retrieved from https://www.romaniapozitiva.ro/coltul-verde/comunitatile-de-energie-o-solutie-pentru-reducerea-facturilor-la-energie/.
View in Google Scholar
Ogutu, H., EL ARCHI, Y., & Dávid, L. D. (2023). Current trends in sustainable organization management: A bibliometric analysis. Oeconomia Copernicana, 14(1), 11–45. DOI: https://doi.org/10.24136/oc.2023.001
View in Google Scholar
Oprea, S.-V., Bâra, A., Ciurea, C.-E., & Stoica, L. (2022). Smart cities and awareness of sustainable communities related to demand response programs: Data processing with first-order and hierarchical Confirmatory Factor Analyses. Electronics, 11(7), 1157. DOI: https://doi.org/10.3390/electronics11071157
View in Google Scholar
Papatsounis, A. G., Botsaris, P. N., & Katsavounis, S. (2022). Thermal/cooling energy on local energy communities: A critical review. Energies, 15(3), 3. DOI: https://doi.org/10.3390/en15031117
View in Google Scholar
Petrovich, B., & Kubli, M. (2023). Energy communities for companies: Executives’ preferences for local and renewable energy procurement. Renewable and Sustainable Energy Reviews, 184, 113506. DOI: https://doi.org/10.1016/j.rser.2023.113506
View in Google Scholar
Petrovics, D., Giezen, M., & Huitema, D. (2022). Towards a deeper understanding of up-scaling in socio-technical transitions: The case of energy communities. Energy Research & Social Science, 94, 102860. DOI: https://doi.org/10.1016/j.erss.2022.102860
View in Google Scholar
Reza (2023). G-index, h-index, and citations per paper: Which one is more important. Do Not Edit. https://www.donotedit.com/g-index-h-index-and-citations-per-paper-which-one-is-more-important/.
View in Google Scholar
Roberts, J. (2020). Power to the people? Implications of the Clean Energy Package for the role of community ownership in Europe’s energy transition. Review of European, Comparative & International Environmental Law, 29(2), 232–244. DOI: https://doi.org/10.1111/reel.12346
View in Google Scholar
Sandu, A., Cotfas, L.-A., Delcea, C., Crăciun, L., & Molănescu, A. G. (2023). Sentiment analysis in the age of COVID-19: A bibliometric perspective. Information, 14(12), 659. DOI: https://doi.org/10.3390/info14120659
View in Google Scholar
Seminario-Córdova, R., & Rojas-Ortega, R. (2023). Renewable energy sources and energy production: A bibliometric analysis of the last five years. Sustainability, 15(13), 13. DOI: https://doi.org/10.3390/su151310499
View in Google Scholar
Shaviv, E., Parag, Y., Teschner, N., & Zemah-Shamir, S. (2022). Would you add some kWhs to your food order? A forward-looking perspective on the energy landscape disruption portrayed by future actors in a distributed system. Energy Research & Social Science, 94, 102877. DOI: https://doi.org/10.1016/j.erss.2022.102877
View in Google Scholar
Stefanis, C., Giorgi, E., Tselemponis, G., Voidarou, C., Skoufos, I., Tzora, A., Tsigalou, C., Kourkoutas, Y., Constantinidis, T. C., & Bezirtzoglou, E. (2023). Terroir in view of bibliometrics. Stats, 6(4), 956–979. DOI: https://doi.org/10.3390/stats6040060
View in Google Scholar
Trianni, A., Merigó, J. M., & Bertoldi, P. (2018). Ten years of energy efficiency: A bibliometric analysis. Energy Efficiency, 11(8), 1917–1939. DOI: https://doi.org/10.1007/s12053-018-9762-1
View in Google Scholar
Uyar, T. S., & Beşikci, D. (2017). Integration of hydrogen energy systems into renewable energy systems for better design of 100% renewable energy communities. International Journal of Hydrogen Energy, 42(4), 2453–2456. DOI: https://doi.org/10.1016/j.ijhydene.2016.09.086
View in Google Scholar
van Kuik, G. A. M., Peinke, J., Nijssen, R., Lekou, D., Mann, J., Sørensen, J. N., Ferreira, C., van Wingerden, J. W., Schlipf, D., Gebraad, P., Polinder, H., Abrahamsen, A., van Bussel, G. J. W., Sørensen, J. D., Tavner, P., Bottasso, C. L., Muskulus, M., Matha, D., Lindeboom, H. J., Degraer, S., Kramer, O., Lehnhoff, S., Sonnenschein, M., Sørensen, P. E., Künneke, R. W., Morthorst, P. E. Skytte, K. (2016). Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy. Wind Energy Science, 1(1), 1–39. DOI: https://doi.org/10.5194/wes-1-1-2016
View in Google Scholar
van Summeren, L. F. M., Breukers, S., & Wieczorek, A. J. (2022). Together we’re smart! Flemish and Dutch energy communities’ replication strategies in smart grid experiments. Energy Research & Social Science, 89, 102643. DOI: https://doi.org/10.1016/j.erss.2022.102643
View in Google Scholar
Van Summeren, L. F. M., Wieczorek, A. J., & Verbong, G. P. J. (2021). The merits of becoming smart: How Flemish and Dutch energy communities mobilise digital technology to enhance their agency in the energy transition. Energy Research & Social Science, 79, 102160. DOI: https://doi.org/10.1016/j.erss.2021.102160
View in Google Scholar
Van Westering, W., & Hellendoorn, H. (2020). Low voltage power grid congestion reduction using a community battery: Design principles, control and experimental validation. International Journal of Electrical Power & Energy Systems, 114, 105349. DOI: https://doi.org/10.1016/j.ijepes.2019.06.007
View in Google Scholar
Velasco-Muñoz, J. F., Aznar-Sánchez, J. A., Schoenemann, M., & López-Felices, B. (2022). The economic valuation of ecosystem services: Bibliometric analysis. Oeconomia Copernicana, 13(4), 977–1014. DOI: https://doi.org/10.24136/oc.2022.028
View in Google Scholar
WoS (2023). Document types. https://webofscience.help.clarivate.com/en-us/Content/document-types.html.
View in Google Scholar
Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. DOI: https://doi.org/10.1177/1094428114562629
View in Google Scholar
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