Optimization of Hybrid Renewable Energy Systems for Power Generation: A Bibliometric Review
DOI:
https://doi.org/10.31686/ijier.vol9.iss3.3015Keywords:
Hybrid renewable energy systems, Hybrid PV/wind/diesel energy system, Optimization, Bibliometric analysisAbstract
The use of Hybrid Power Generation Systems through renewable sources has been gaining prominence, since it is a way to reduce the dependence on fossil fuels, contributing to the reduction of pollutant gas emissions to the environment. Due to the higher operational complexity, the multiplicity of options and constant improvement of these units, how to optimize these systems is still a subject of present studies. Considering the attention that this topic has received from the academic community, the challenges for mapping and identifying the relevant literature, this article provides a macroscopic view of the scientific literature on the Optimization of Hybrid Renewable Energy Systems (HRES) for energy generation, through analysis bibliometric. The research was developed using the Web of Science database, obtaining a total of 439 articles between 2010 and 2020, where the results were interpreted through the VOSviewer software. The results showed that the number of related publications is gradually increasing, with India as the leading country. The University of Malaya is the institution with a higher number of registers, with 14 entries. Most publications fit into the “Energy Fuels” category, with the magazines “Renewable Sustainable Energy Reviews” and “Renewable Energy” as the most influential in terms of the number of publications, as well as the United States and China are the countries with most research collaboration. Besides, the most cited articles and the recurrence and distribution of keywords indicate the future directions of research. In short, this study contributes valuable information to researchers on the topic.
References
Anoune, K., Bouya, M., Astito, A., & Abdellah, A. B. (2018). Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review. Renewable and Sustainable Energy Reviews, 93, 652-673, doi:https://doi.org/10.1016/j.rser.2018.05.032. DOI: https://doi.org/10.1016/j.rser.2018.05.032
Bahramara, S., Moghaddam, M. P., & Haghifam, M. (2016). Optimal planning of hybrid renewable energy systems using HOMER: A review. Renewable and Sustainable Energy Reviews, 62, 609-620, doi:https://doi.org/10.1016/j.rser.2016.05.039. DOI: https://doi.org/10.1016/j.rser.2016.05.039
Bajpai, P., & Dash, V. (2012). Hybrid renewable energy systems for power generation in stand-alone applications: A review. Renewable and Sustainable Energy Reviews, 16(5), 2926-2939, doi:https://doi.org/10.1016/j.rser.2012.02.009. DOI: https://doi.org/10.1016/j.rser.2012.02.009
Bhandari, B., Lee, K.-T., Lee, G.-Y., Cho, Y.-M., & Ahn, S.-H. (2015). Optimization of hybrid renewable energy power systems: A review. International journal of precision engineering and manufacturing-green technology, 2(1), 99-112, doi:https://doi.org/10.1007/s40684-015-0013-z. DOI: https://doi.org/10.1007/s40684-015-0013-z
Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual review of information science and technology, 37(1), 179-255, doi:https://doi.org/10.1002/aris.1440370106. DOI: https://doi.org/10.1002/aris.1440370106
Bukar, A. L., & Tan, C. W. (2019). A review on stand-alone photovoltaic-wind energy system with fuel cell: system optimization and energy management strategy. Journal of cleaner production, doi:https://doi.org/10.1016/j.jclepro.2019.02.228. DOI: https://doi.org/10.1016/j.jclepro.2019.02.228
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, doi:https://doi.org/10.1016/j.cie.2017.08.033. DOI: https://doi.org/10.1016/j.cie.2017.08.033
Castillo-Vergara, M., Alvarez-Marin, A., & Placencio-Hidalgo, D. (2018). A bibliometric analysis of creativity in the field of business economics. Journal of Business Research, 85, 1-9, doi:https://doi.org/10.1016/j.jbusres.2017.12.011. DOI: https://doi.org/10.1016/j.jbusres.2017.12.011
Clarivate_Analytics (2020). Web of Science: Trust the difference. Erişim adresi: http://wokinfo.com.
Cobo, M. J., López‐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, doi:https://doi.org/10.1002/asi.21525. DOI: https://doi.org/10.1002/asi.21525
Das, M., Singh, M. A. K., & Biswas, A. (2019). Techno-economic optimization of an off-grid hybrid renewable energy system using metaheuristic optimization approaches–case of a radio transmitter station in India. Energy conversion and management, 185, 339-352. DOI: https://doi.org/10.1016/j.enconman.2019.01.107
De Carvalho, P. P. S., de Araújo Kalid, R., Rodríguez, J. L. M., & Santiago, S. B. (2019). Interactions among stakeholders in the processes of city logistics: a systematic review of the literature. Scientometrics, 120(2), 567-607, doi:https://doi.org/10.1007/s11192-019-03149-1. DOI: https://doi.org/10.1007/s11192-019-03149-1
Du, H., Li, N., Brown, M. A., Peng, Y., & Shuai, Y. (2014). A bibliographic analysis of recent solar energy literatures: The expansion and evolution of a research field. Renewable Energy, 66, 696-706, doi:https://doi.org/10.1016/j.renene.2014.01.018. DOI: https://doi.org/10.1016/j.renene.2014.01.018
Erdinc, O., & Uzunoglu, M. (2012). Optimum design of hybrid renewable energy systems: Overview of different approaches. Renewable and Sustainable Energy Reviews, 16(3), 1412-1425, doi:https://doi.org/10.1016/j.rser.2011.11.011. DOI: https://doi.org/10.1016/j.rser.2011.11.011
Fabregat-Aibar, L., Barberà-Mariné, M. G., Terceño, A., & Pié, L. (2019). A bibliometric and visualization analysis of socially responsible funds. Sustainability, 11(9), 2526, doi:https://doi.org/10.3390/su11092526. DOI: https://doi.org/10.3390/su11092526
Faccio, M., Gamberi, M., Bortolini, M., & Nedaei, M. (2018). State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs). Frontiers in Energy, 12(4), 591-622, doi:https://doi.org/10.1007/s11708-018-0567-x. DOI: https://doi.org/10.1007/s11708-018-0567-x
Fadaee, M., & Radzi, M. (2012). Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review. Renewable and Sustainable Energy Reviews, 16(5), 3364-3369, doi:https://doi.org/10.1016/j.rser.2012.02.071. DOI: https://doi.org/10.1016/j.rser.2012.02.071
Ferrari, L., Bianchini, A., Galli, G., Ferrara, G., & Carnevale, E. A. (2018). Influence of actual component characteristics on the optimal energy mix of a photovoltaic-wind-diesel hybrid system for a remote off-grid application. Journal of cleaner production, 178, 206-219, doi:https://doi.org/10.1016/j.jclepro.2018.01.032. DOI: https://doi.org/10.1016/j.jclepro.2018.01.032
Gao, C., Sun, M., Geng, Y., Wu, R., & Chen, W. (2016). A bibliometric analysis based review on wind power price. Applied energy, 182, 602-612, doi:http://dx.doi.org/10.1016/j.apenergy.2016.08.144. DOI: https://doi.org/10.1016/j.apenergy.2016.08.144
Grácio, M. C. C., & Oliveira, E. F. T. d. (2014). Estudos de análise de cocitação de autores: uma abordagem teórico-metodológica para a compreensão de um domínio. Tendencias da Pesquisa brasileira em Ciência da Informação, 1-22.
Hou, Q., Mao, G., Zhao, L., Du, H., & Zuo, J. (2015). Mapping the scientific research on life cycle assessment: a bibliometric analysis. The International Journal of Life Cycle Assessment, 20(4), 541-555, doi:http://doi.org/10.1007/s11367-015-0846-2. DOI: https://doi.org/10.1007/s11367-015-0846-2
Kaldellis, J. K. (2010). Stand-alone and hybrid wind energy systems: technology, energy storage and applications: Elsevier. DOI: https://doi.org/10.1533/9781845699628
Khare, V., Nema, S., & Baredar, P. (2016). Solar–wind hybrid renewable energy system: A review. Renewable and Sustainable Energy Reviews, 58, 23-33, doi:https://doi.org/10.1016/j.rser.2015.12.223. DOI: https://doi.org/10.1016/j.rser.2015.12.223
Khojasteh, D., Khojasteh, D., Kamali, R., Beyene, A., & Iglesias, G. (2018). Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy. Renewable and Sustainable Energy Reviews, 81, 2992-3005, doi:https://doi.org/10.1016/j.rser.2017.06.110. DOI: https://doi.org/10.1016/j.rser.2017.06.110
Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45, doi:https://doi.org/10.1016/j.ijhm.2017.06.012. DOI: https://doi.org/10.1016/j.ijhm.2017.06.012
Lian, J., Zhang, Y., Ma, C., Yang, Y., & Chaima, E. (2019). A review on recent sizing methodologies of hybrid renewable energy systems. Energy conversion and management, 199, 112027, doi: https://doi.org/10.1016/j.enconman.2019.112027. DOI: https://doi.org/10.1016/j.enconman.2019.112027
Luna-Rubio, R., Trejo-Perea, M., Vargas-Vázquez, D., & Ríos-Moreno, G. (2012). Optimal sizing of renewable hybrids energy systems: A review of methodologies. Solar energy, 86(4), 1077-1088, doi:https://doi.org/10.1016/j.solener.2011.10.016. DOI: https://doi.org/10.1016/j.solener.2011.10.016
Maatallah, T., Ghodhbane, N., & Nasrallah, S. B. (2016). Assessment viability for hybrid energy system (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia. Renewable and Sustainable Energy Reviews, 59, 1639-1652, doi:https://doi.org/10.1016/j.rser.2016.01.076. DOI: https://doi.org/10.1016/j.rser.2016.01.076
Maheri, A. (2014). Multi-objective design optimisation of standalone hybrid wind-PV-diesel systems under uncertainties. Renewable Energy, 66, 650-661, doi:https://doi.org/10.1016/j.renene.2014.01.009. DOI: https://doi.org/10.1016/j.renene.2014.01.009
Maleki, A., Khajeh, M. G., & Ameri, M. (2016). Optimal sizing of a grid independent hybrid renewable energy system incorporating resource uncertainty, and load uncertainty. International Journal of Electrical Power & Energy Systems, 83, 514-524, doi:https://doi.org/10.1016/j.ijepes.2016.04.008. DOI: https://doi.org/10.1016/j.ijepes.2016.04.008
Mao, G., Huang, N., Chen, L., & Wang, H. (2018). Research on biomass energy and environment from the past to the future: A bibliometric analysis. Science of The Total Environment, 635, 1081-1090, doi:https://doi.org/10.1016/j.scitotenv.2018.04.173. DOI: https://doi.org/10.1016/j.scitotenv.2018.04.173
Mao, G., Zou, H., Chen, G., Du, H., & Zuo, J. (2015). Past, current and future of biomass energy research: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 52, 1823-1833, doi:https://doi.org/10.1016/j.rser.2015.07.141. DOI: https://doi.org/10.1016/j.rser.2015.07.141
McCain, K. W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American society for information science, 41(6), 433-443, doi:https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q. DOI: https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q
Mehrpooya, M., Mohammadi, M., & Ahmadi, E. (2018). Techno-economic-environmental study of hybrid power supply system: A case study in Iran. Sustainable Energy Technologies and Assessments, 25, 1-10, doi:https://doi.org/10.1016/j.seta.2017.10.007. DOI: https://doi.org/10.1016/j.seta.2017.10.007
Merei, G., Berger, C., & Sauer, D. U. (2013). Optimization of an off-grid hybrid PV–Wind–Diesel system with different battery technologies using genetic algorithm. Solar Energy, 97, 460-473, doi:https://doi.org/10.1016/j.solener.2013.08.016. DOI: https://doi.org/10.1016/j.solener.2013.08.016
Montero-Díaz, J., Cobo, M.-J., Gutiérrez-Salcedo, M., Segado-Boj, F., & Herrera-Viedma, E. (2018). Mapeo científico de la Categoría «Comunicación» en WoS (1980-2013). Comunicar, 26(55), 81-91, doi:https://doi.org/10.3916/C55-2018-08. DOI: https://doi.org/10.3916/C55-2018-08
Movahediyan, Z., & Askarzadeh, A. (2018). Multi-objective optimization framework of a photovoltaic-diesel generator hybrid energy system considering operating reserve. Sustainable cities and society, 41, 1-12, doi:https://doi.org/10.1016/j.scs.2018.05.002. DOI: https://doi.org/10.1016/j.scs.2018.05.002
Nehrir, M., Wang, C., Strunz, K., Aki, H., Ramakumar, R., Bing, J., et al. (2011). A review of hybrid renewable/alternative energy systems for electric power generation: Configurations, control, and applications. IEEE transactions on sustainable energy, 2(4), 392-403, doi:https://doi.org/10.1109/TSTE.2011.2157540. DOI: https://doi.org/10.1109/TSTE.2011.2157540
Ogunjuyigbe, A., Ayodele, T., & Akinola, O. (2016). Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building. Applied Energy, 171, 153-171, doi: https://doi.org/10.1016/j.apenergy.2016.03.051. DOI: https://doi.org/10.1016/j.apenergy.2016.03.051
Olatomiwa, L., Mekhilef, S., Ismail, M. S., & Moghavvemi, M. (2016). Energy management strategies in hybrid renewable energy systems: A review. Renewable and Sustainable Energy Reviews, 62, 821-835, doi:https://doi.org/10.1016/j.rser.2016.05.040. DOI: https://doi.org/10.1016/j.rser.2016.05.040
Pauna, V., Buonocore, E., Renzi, M., Russo, G., & Franzese, P. (2019). The issue of microplastics in marine ecosystems: A bibliometric network analysis. Marine Pollution Bulletin, 149, 110612, doi:https://doi.org/10.1016/j.marpolbul.2019.110612. DOI: https://doi.org/10.1016/j.marpolbul.2019.110612
Qiu, H., & Chen, Y.-F. (2009). Bibliometric analysis of biological invasions research during the period of 1991 to 2007. Scientometrics, 81(3), 601, doi:https://doi.org/10.1007/s11192-008-2207-4. DOI: https://doi.org/10.1007/s11192-008-2207-4
Rahman, M. M., Khan, M. M.-U.-H., Ullah, M. A., Zhang, X., & Kumar, A. (2016). A hybrid renewable energy system for a North American off-grid community. Energy, 97, 151-160, doi:https://doi.org/10.1016/j.energy.2015.12.105. DOI: https://doi.org/10.1016/j.energy.2015.12.105
REN21 (2019). Renewables 2019 Global Status Report. Paris. REN21 Secretariat.
Rodrigues, S., Van Eck, N., Waltman, L., & Jansen, F. (2014). Mapping patient safety: a large-scale literature review using bibliometric visualisation techniques. BMJ open, 4(3), e004468, doi:http://dx.doi.org/10.1136/bmjopen-2013-004468. DOI: https://doi.org/10.1136/bmjopen-2013-004468
Sharafi, M., & ELMekkawy, T. Y. (2014). Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach. Renewable Energy, 68, 67-79, doi: https://doi.org/10.1016/j.renene.2014.01.011. DOI: https://doi.org/10.1016/j.renene.2014.01.011
Sinha, S., & Chandel, S. (2014). Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 32, 192-205, doi:https://doi.org/10.1016/j.rser.2014.01.035. DOI: https://doi.org/10.1016/j.rser.2014.01.035
Tezer, T., Yaman, R., & Yaman, G. (2017). Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 73, 840-853, doi:https://doi.org/10.1016/j.rser.2017.01.118. DOI: https://doi.org/10.1016/j.rser.2017.01.118
Van Eck, & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538, doi:https://doi.org/10.1007/s11192-009-0146-3. DOI: https://doi.org/10.1007/s11192-009-0146-3
Van Eck., & Waltman, L. (2020). Manual for VOSviewer version 1.6.15. DOI: https://doi.org/10.1162/qss_a_00035
Van Nunen, K., Li, J., Reniers, G., & Ponnet, K. (2018). Bibliometric analysis of safety culture research. Safety science, 108, 248-258, doi:https://doi.org/10.1016/j.ssci.2017.08.011. DOI: https://doi.org/10.1016/j.ssci.2017.08.011
VOSviewer (2020). Welcom to VOSviewer. https://www.vosviewer.com.
Wang, R., Li, G., Ming, M., Wu, G., & Wang, L. (2017). An efficient multi-objective model and algorithm for sizing a stand-alone hybrid renewable energy system. Energy, 141, 2288-2299, doi:https://doi.org/10.1016/j.energy.2017.11.085. DOI: https://doi.org/10.1016/j.energy.2017.11.085
Weinand, J. M. (2020). Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019. Energies, 13(6), 1367, doi:https://doi.org/10.3390/en13061367. DOI: https://doi.org/10.3390/en13061367
White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995. Journal of the American society for information science, 49(4), 327-355, doi:https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4. DOI: https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4
Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96(1), 133-146, doi:https://doi.org/10.1007/s11192-012-0911-6. DOI: https://doi.org/10.1007/s11192-012-0911-6
Zhang, Tan, S.-C., Li, G., Li, J., & Feng, Z. (2013). Components sizing of hybrid energy systems via the optimization of power dispatch simulations. Energy, 52, 165-172, doi:https://doi.org/10.1016/j.energy.2013.01.013. DOI: https://doi.org/10.1016/j.energy.2013.01.013
Zhang, X., Karplus, V. J., Qi, T., Zhang, D., & He, J. (2016). Carbon emissions in China: How far can new efforts bend the curve? Energy Economics, 54, 388-395, doi:https://doi.org/10.1016/j.eneco.2015.12.002. DOI: https://doi.org/10.1016/j.eneco.2015.12.002
Zheng, T., Wang, J., Wang, Q., Nie, C., Shi, Z., Wang, X., et al. (2016). A bibliometric analysis of micro/nano-bubble related research: current trends, present application, and future prospects. Scientometrics, 109(1), 53-71, doi:1007/s11192-016-2004-4. DOI: https://doi.org/10.1007/s11192-016-2004-4
Zhou, W., Lou, C., Li, Z., Lu, L., & Yang, H. (2010). Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems. Applied energy, 87(2), 380-389, doi: http://dx.doi.org/10.1016/j.apenergy.2009.08.012. DOI: https://doi.org/10.1016/j.apenergy.2009.08.012
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. DOI: https://doi.org/10.1177/1094428114562629
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Accepted 2021-03-01
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