Research Mapping on Distributed Energy Systems Using Renewable Energy
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Published:
May 31, 2023
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Keywords:
Bibliometric Analysis, Distributed Energy Systems, Renewable Energy, Research Mapping
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Abstract
The availability of energy is essential to support modern human activities worldwide, pushing global energy consumption to an unprecedented level within the last century. Several aspects, such as population, economy, greenhouse gas emissions (GHG) emission, gross domestic product, and labor growth, have a favorable relationship with energy consumption, which means an enlargement in energy consumption. On the other hand, distributed energy systems (DES) and renewable energy (RE) are popular alternative sources of energy production as part of the energy mix toward energy security and sustainability to tackle environmental issues. This paper aims to analyze and review the research trend of DES and RE in recent decades through bibliometric tools. Thus, the study addressed the following research questions: worldwide research’s prominent authors, relevant sources, the word associated with this research field, and thematic analysis through the Scopus database and Bibliohiny R-package. This work can help the academicians, researchers, and scientific community comprehend the study fields more rapidly.
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How to Cite
[1]
H. B. Tambunan, “Research Mapping on Distributed Energy Systems Using Renewable Energy”, Fidelity, vol. 5, no. 2, pp. 69-83, May 2023.
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Jurnal FIDELITY : Jurnal Teknik Elektro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Received 2023-03-07
Accepted 2023-04-29
Published 2023-05-31
Accepted 2023-04-29
Published 2023-05-31
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E. D. Mehleri, H. Sarimveis, N. C. Markatos, and L. G. Papageorgiou, "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," energy, vol. 44, no. 1, pp. 96–104, Aug. 2012, doi: 10.1016/j.energy.2012.02.009.
J. Guerrero, D. Gebbran, S. Mhanna, A. C. Chapman, and G. VerbiÄ, "Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading," Renewable and Sustainable Energy Reviews, vol. 132, p. 110000, Oct. 2020, doi: 10.1016/j.rser.2020.110000.
Z. Cui, H. Lin, Y. Wu, Y. Wang, and X. Feng, "Optimization of Pipeline Network Layout for Multiple Heat Sources Distributed Energy Systems Considering Reliability Evaluation," Processes, vol. 9, no. 8, Art. no. 8, Aug. 2021, doi: 10.3390/pr9081308.
M. Rastegar and M. Fotuhi-Firuzabad, "Load management in a residential energy hub with renewable distributed energy resources," Energy and Buildings, vol. 107, pp. 234–242, Nov. 2015, doi: 10.1016/j.enbuild.2015.07.028.
G. Mavromatidis, K. Orehounig, and J. Carmeliet, "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, vol. 88, pp. 258–277, May 2018, doi: 10.1016/j.rser.2018.02.021.
G. Mavromatidis, K. Orehounig, and J. Carmeliet, "Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems," Applied Energy, vol. 214, pp. 219–238, Mar. 2018, doi: 10.1016/j.apenergy.2018.01.062.
C. Haikarainen, F. Pettersson, and H. Saxén, "A model for structural and operational optimization of distributed energy systems," Applied Thermal Engineering, vol. 70, no. 1, pp. 211–218, Sep. 2014, doi: 10.1016/j.applthermaleng.2014.04.049.
H. Friman, I. Banner, Y. Sitbon, Y. Einav, and N. Shaked, "Preparing the Public Opinion in the Community to Accept Distributed Energy Systems and Renewable Energy," Energies, vol. 15, no. 12, Art. no. 12, Jan. 2022, doi: 10.3390/en15124226.
R. N. Wojuola and B. P. Alant, "Sustainable development and energy education in Nigeria," Renewable Energy, vol. 139, pp. 1366–1374, Aug. 2019, doi: 10.1016/j.renene.2019.03.010.
S. B. Wali et al., "Battery storage systems integrated renewable energy sources: A biblio metric analysis towards future directions," Journal of Energy Storage, vol. 35, p. 102296, Mar. 2021, doi: 10.1016/j.est.2021.102296.
S. G. Azevedo, M. Santos, and J. R. Antón, "Supply chain of renewable energy: A bibliometric review approach," Biomass and Bioenergy, vol. 126, pp. 70–83, Jul. 2019, doi: 10.1016/j.biombioe.2019.04.022.
L. Elie, C. Granier, and S. Rigot, "The different types of renewable energy finance: A Bibliometric analysis," Energy Economics, vol. 93, p. 104997, Jan. 2021, doi: 10.1016/j.eneco.2020.104997.
M. Aria and C. Cuccurullo, "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, vol. 11, no. 4, pp. 959–975, Nov. 2017, doi: 10.1016/j.joi.2017.08.007.
A. Belfiore, C. Cuccurullo, and M. Aria, "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, vol. 184, p. 122001, Nov. 2022, doi: 10.1016/j.techfore.2022.122001.
M. Aria, C. Cuccurullo, L. D’Aniello, M. Misuraca, and M. Spano, "Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy," Sustainability, vol. 14, no. 6, Art. no. 6, Jan. 2022, doi: 10.3390/su14063643.
M. Aria, M. Misuraca, and M. Spano, "Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research," Soc Indic Res, vol. 149, no. 3, pp. 803–831, Jun. 2020, doi: 10.1007/s11205-020-02281-3.
C. Cuccurullo, M. Aria, and F. Sarto, "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, vol. 108, no. 2, pp. 595–611, Aug. 2016, doi: 10.1007/s11192-016-1948-8.
V. Della Corte and M. Aria, "Coopetition and sustainable competitive advantage. The case of tourist destinations," Tourism Management, vol. 54, pp. 524–540, 2016.
A.-W. Harzing, "Two new kids on the block: How do Crossref and Dimensions compare with Google Scholar, Microsoft Academic, Scopus and the Web of Science?," Scientometrics, vol. 120, no. 1, pp. 341–349, Jul. 2019, doi: 10.1007/s11192-019-03114-y.
A. Martin-Martin, E. Orduna-Malea, A.-W. Harzing, and E. Delgado López-Cózar, "Can we use Google Scholar to identify highly-cited documents?," Journal of Informetrics, vol. 11, no. 1, pp. 152–163, Feb. 2017, doi: 10.1016/j.joi.2016.11.008.