Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis

Considering the critical nature of climate change mitigation, it is imperative to boost the integration of renewable energy sources (RES) into the power system. Nevertheless, increasing the utilization of these resources is hindered by their high volatility and unpredictability. Energy storage syste...

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Published in:Journal of energy storage Vol. 94; p. 112497
Main Author: Tahir, Hira
Format: Journal Article
Language:English
Published: Elsevier Ltd 30.07.2024
Subjects:
Bibliometric analysis
Energy storage system
Optimization
Renewable energy integration
Research trends
Uncertainty
Renewable energy integration
Uncertainty
Bibliometric analysis
Energy storage system
Research trends
Optimization
ISSN:2352-152X, 2352-1538
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Abstract Considering the critical nature of climate change mitigation, it is imperative to boost the integration of renewable energy sources (RES) into the power system. Nevertheless, increasing the utilization of these resources is hindered by their high volatility and unpredictability. Energy storage system (ESS) deployments in recent times have effectively resolved these concerns. To contribute to the body of knowledge regarding the optimization of ESS size for renewable energy integration, this article provides a bibliometric overview and analysis of the topic. Using the web of science and SCOPUS databases, a preliminary search was performed during the initial week of October 2023, resulting in the selection of 241 manuscripts for further screening. The research conducted an analysis of various factors, including the publication trend by year, the leading journals, the geographic distribution of publications, the most prolific authors, the most cited articles, and the key subject areas. A network analysis concerning the most frequently used keywords and bibliographic coupling across various countries was presented. Furthermore, an extensive examination is conducted on the content of the chosen manuscripts, resulting in a thorough discussion on various themes. These include the volume and resolution of the input data, the representative scenarios, the software tool and optimization algorithm utilized, the commonly discussed types of ESS and RES, and the operation mode of the system. Moreover, the number of studies which incorporated variations in load during the design process and the type of study are quantified. The findings indicate a positive trajectory in the number of publications pertaining to the subject of interest. The selected literature was published in a total of 61 distinct journals, with ‘Energy’ holding the most publications. China emerged as the leading contributor in terms of number of publications and the most prolific authors. Furthermore, the network analysis identified renewable energy, optimization, microgrid and battery energy storage as the most frequently used keywords. The content analysis reveals that the most frequently addressed themes in the literature are the hourly resolution of the data (81 %), representative days (94 %), meta-heuristic algorithms (46 %), MATLAB software tool (50 %), battery ESS (65 %), hybrid RES (52 %), and grid-connected mode of operation (79 %). Finally, valuable insights and future recommendations are offered based on the findings. •Bibliometric analysis unveils key themes in optimizing ESS for renewables.•The rise in research in this field shows that the field is constantly evolving.•Hybrid RES, battery energy storage systems, and meta-heuristic algorithms are the prominent themes.•MATLAB emerged as the dominant software tool.•More investigation is required on intelligent optimization algorithms, such as amalgamation of AI with meta-heuristics.
AbstractList Considering the critical nature of climate change mitigation, it is imperative to boost the integration of renewable energy sources (RES) into the power system. Nevertheless, increasing the utilization of these resources is hindered by their high volatility and unpredictability. Energy storage system (ESS) deployments in recent times have effectively resolved these concerns. To contribute to the body of knowledge regarding the optimization of ESS size for renewable energy integration, this article provides a bibliometric overview and analysis of the topic. Using the web of science and SCOPUS databases, a preliminary search was performed during the initial week of October 2023, resulting in the selection of 241 manuscripts for further screening. The research conducted an analysis of various factors, including the publication trend by year, the leading journals, the geographic distribution of publications, the most prolific authors, the most cited articles, and the key subject areas. A network analysis concerning the most frequently used keywords and bibliographic coupling across various countries was presented. Furthermore, an extensive examination is conducted on the content of the chosen manuscripts, resulting in a thorough discussion on various themes. These include the volume and resolution of the input data, the representative scenarios, the software tool and optimization algorithm utilized, the commonly discussed types of ESS and RES, and the operation mode of the system. Moreover, the number of studies which incorporated variations in load during the design process and the type of study are quantified. The findings indicate a positive trajectory in the number of publications pertaining to the subject of interest. The selected literature was published in a total of 61 distinct journals, with ‘Energy’ holding the most publications. China emerged as the leading contributor in terms of number of publications and the most prolific authors. Furthermore, the network analysis identified renewable energy, optimization, microgrid and battery energy storage as the most frequently used keywords. The content analysis reveals that the most frequently addressed themes in the literature are the hourly resolution of the data (81 %), representative days (94 %), meta-heuristic algorithms (46 %), MATLAB software tool (50 %), battery ESS (65 %), hybrid RES (52 %), and grid-connected mode of operation (79 %). Finally, valuable insights and future recommendations are offered based on the findings. •Bibliometric analysis unveils key themes in optimizing ESS for renewables.•The rise in research in this field shows that the field is constantly evolving.•Hybrid RES, battery energy storage systems, and meta-heuristic algorithms are the prominent themes.•MATLAB emerged as the dominant software tool.•More investigation is required on intelligent optimization algorithms, such as amalgamation of AI with meta-heuristics.
ArticleNumber 112497
Author Tahir, Hira
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Gioutsos, Blok, van Velzen, Moorman (bb0960) 2018; 226
Sharma, Bhattacharjee, Bhattacharya (bb1150) 2018; 148
Faessler, Schuler, Preißinger, Kepplinger (bb0700) 2017; 10
Andam, El Alami, Louartassi, Zine (bb0860) 2023; 11
Ogunmodede, Anderson, Cutler, Newman (bb1335) 2021; 287
Kasprzyk, Tomczewski, Pietracho, Mielcarek, Nadolny, Tomczewski, Trzmiel, Alemany (bb0940) 2020; 13
Wu, Yu, Guo (bb0320) 2019
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Singh, Kumar (bb0585) 2023; 278
Polleux, Schuhler, Guerassimoff, Marmorat, Sandoval-Moreno, Ghazouani (bb0245) 2021
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Shi, Wang, Lee, Cheng, Zong (bb0480) 2019; 256
Hong, Wei, Li, Han (bb0685) 2021; 39
Pilotti, Colombari, Castelli, Binotti, Giaconia, Martelli (bb1165) 2023; 331
Sfikas, Katsigiannis, Georgilakis (bb0350) 2015; 67
Fathy (bb1240) 2023; 334
Yang, Han, Wu, Zhang, Shang (bb0895) 2021
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Rezaeimozafar, Eskandari, Amini, Mohammad, Pierluigi (bb0915) 2020; 13
Moradzadeh, Abdelaziz (bb1070) 2021; 7
Ren, Lin, Wei, Zhai, Yang (bb1185) 2022; 321
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Bhimaraju, Mahesh, Joshi (bb0540) 2022; 52
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Kalkhambkar, Kumar, Bhakar (bb0590) 2016; 10
Jiang, Kang, Liu (bb0315) 2019; 176
Shirole, Wagh, Kulkarni, Patil (bb1080) 2023; 18
Li, Zhang, Fu, Song, Wang, Wu (bb0015) 2019; 7
Ali, Kazmi, Altamimi, Khan, Alghassab (bb0430) 2023; 16
Wang, Huang (bb0175) 2017; 8
Abdeltawab, Mohamed (bb0380) 2019; 7
Schlachtberger, Brown, Schäfer, Schramm, Greiner (bb0330) 2018; 163
Li, Wang, Gu, Liu, Li (bb0735) 2019; 7
Dutta, Bharathi Krishna, Rayudu, Vedhagiri, Medikondu, SudarsananNair JalajaKumari, Raghunathan, Saha (bb0710) 2023; 0
Psarros, Papathanassiou (bb0645) 2022; 55
Leone, Longo, Fernandez-Ramirez, Garcia-Trivino (bb1160) 2022; 10
De La Torre, González-González, Aguado, Martín (bb0755) 2019; 13
Al Shereiqi, Al-Hinai, Albadi, Al-Abri (bb0230) 2020; 13
Zheng, Jin (bb0780) 2021; 131
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I. Renewable Energy Agency (IRENA) (bb0040) 2023
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Yang, Zhang, Adinda (bb0875) 2022; 10
Castillejo-Cuberos, Cardemil, Escobar (bb1345) 2023; 334
Wu, Kou, Hou, Ji, Xu, Gao (bb0295) 2019; 105
Poncelet, Delarue, Six, Duerinck, D’haeseleer (bb0310) 2016; 162
Tooryan, HassanzadehFard, Collins, Jin, Ramezani (bb1010) 2020; 212
Zhu, Gui, Zhang, Han, Li (bb0790) 2023; 72
Song, Zhang, Fan, Zhang, Peña-Mora (bb0650) 2023; 282
Feng, Gu, Guan (bb1295) 2018; 6
Tarragona, de Gracia, Cabeza (bb0070) 2020; 32
Khasanov, Kamel, Awad, Jurado (bb1015) 2021; 29
Ashoornezhad, Falaghi, Hajizadeh, Ramezani (bb0805) 2021; 31
Marx, Schier, Wanitschek (bb0060) 2001; 52
Tafone, Raj Thangavelu, Morita, Romagnoli (bb1310) 2023; 330
Pineda, Morales (bb0305) 2018; 33
Schlachtberger, Brown, Schramm, Greiner (bb0140) 2017; 134
Wan, Qian, Zhao, Song, Yang (bb1040) 2021; 12
Mortaz (bb1275) 2020; 11
Reza, Mannan, Bin Wali, Hannan, Jern, Rahman, Muttaqi, Mahlia (bb0095) 2021; 41
Mohamad, Teh, Lai (bb0485) 2021; 223
Lata, Vadhera (bb1180) 2020; 30
Mah, Ho, Hassim, Hashim, Ling, Ho, Muis (bb0555) 2021; 233
Abbas, Habib, Feng, Yan (bb1030) 2018; 7
Adetunji, Hofsajer, Abu-Mahfouz, Cheng (bb1300) 2021; 9
Xu, Yu, Song, Weng, Luo, Zhang (bb1340) 2022; 15
Bin Wali, Hannan, Reza, Ker, Begum, Rahman, Mansor (bb0100) 2021; 35
Yun, Ren, Xue (bb1055) 2018; 11
Sharma, Bhattacharjee, Bhattacharya (bb0475) 2016; 10
Lin, Sivaraman, Nan, Rahardja, Muda, Fahim, Bashar, Li, Husein (bb1025) 2023; 10
Mansouri, Zishan, Montoya, Azimizadeh, Giral-Ramírez (bb1105) 2023; 17
Memarzadeh, Keynia (bb0200) 2023
Mohamed, Shaaban, Ismail, Serpedin, Qaraqe (bb0815) 2019; 10
Srinivasan, Wu, Heer, Sansavini (bb1260) 2023; 338
Afzali, Rashidinejad, Abdollahi, Salehizadeh, Farahmand (bb1120) 2023; 17
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Confrey, Etemadi, Stuban, Eveleigh (bb1205) 2020; 14
Ewald, Klerings, Wagner, Heise, Stratil, Lhachimi, Hemkens, Gartlehner, Armijo-Olivo, Nussbaumer-Streit (bb0115) 2022; 149
Ma, Wang, Wu, Hu, Tang, Zhang, Han, Ding (bb0250) 2019
Zsiboracs, Vincze, Pinter, Baranyai (bb1045) 2023; 11
Heidari, Parra, Patel (bb0660) 2021; 35
Gong, Wang, Jiang, Shahidehpour, Liu, Zhu (bb0210) 2021; 12
Liu, Chen, Yang, Shan (bb1320) 2021; 290
Cabeza, Frazzica, Chàfer, Vérez, Palomba (bb0075) 2020; 32
Walsh, Lydon, Byrne, Madden, Fox, O’Connor (bb0080) 2018; 13
Liu, Li, Mu, Li, Liu (bb0640) 2021; 41
Khan, Alghamdi, Ali Khan, Fatima, Abid, Khalid, Javaid (bb0530) 2019; 9
Jiang, Wen, Zhu, Huang, Ye (bb1290) 2023; 14
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Ahmadi, Ceylan, Ozdemir (bb0220) 2021
Knezović, Marinakis, Evrenosoglu, Oudalov (bb0575) 2021; 226
Rayit, Chowdhury, Balta-Ozkan (bb0260) 2021; 39
Daramola, Ahmadi, Marzband, Ikpehai (bb0725) 2023; 57
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Arévalo, Tostado-Véliz, Jurado (bb0340) 2021; 37
Prina, Cozzini, Garegnani, Manzolini, Moser, Filippi Oberegger, Pernetti, Vaccaro, Sparber (bb1125) 2018; 149
Melhem, Grunder, Hammoudan, Moubayed (bb0750) 2017; 40
Terlouw, AlSkaif, Bauer, van Sark (bb0160) 2019; 239
Rao, Singh (bb1350) 2022; 15
Ding, Chen, Wang (bb1365) 2023; 9
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Nawaz, Malik, Ashraf (bb1155) 2020; 30
Chen, Yang, Song, Wang, He (bb1195) 2023
Tahir, Park, Park, Kim (bb0195) 2022; 139
Yang, Jiang, Cai, Huang (bb0775) 2019; 13
Rocha, Rotella Junior, Aquila, Maheri (bb0515) 2022; 51
Strnad, Prenc (bb0980) 2018; 100
Mohamed, Menoufi, Shehata (bb0705) 2019
Grazioli, Chlela, Selosse, Maïzi (bb0365) 2022; 15
Brinjikji, Klunder, Kallmes (bb0065) 2013; 269
Graça Gomes, Jiang, Chong, Telhada, Zhang, Sammarchi, Wang, Lin, Li (bb0625) 2023; 263
Bussar, Stöcker, Cai, Moraes, Magnor, Wiernes, Bracht, Moser, Sauer (bb0165) 2016
Abdelaziz, Ezzat, Othman, Mahmoud (bb1200) 2018; 46
Torabi, Gomes, Morgado-Dias (bb0520) 2023
Bhuvanesh, Jaya Christa, Kannan, Karuppasamy Pandiyan, Gangatharan (bb0680) 2019; 43
Taha, Alham, Youssef (bb1135) 2022; 10
Li, Zhu, Dong, Zhu, Fan (bb1210) 2022; 309
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Otsuki, Obane, Kawakami, Shimogori, Mizuno, Morimoto, Matsuo (bb1280) 2022
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Dvorkin, Fernandez-Blanco, Kirschen, Pandzic, Watson, Silva-Monroy (bb0180) 2017
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Pupo-Roncallo, Campillo, Ingham, Ma, Pourkashanian (bb0990) 2021; 2
Welder, Ryberg, Kotzur, Grube, Robinius,
Sun (10.1016/j.est.2024.112497_bb1330) 2023; 345
Kyritsis (10.1016/j.est.2024.112497_bb0020) 2017; 109
Wang (10.1016/j.est.2024.112497_bb0175) 2017; 8
Moya (10.1016/j.est.2024.112497_bb0280) 2022; 212
Song (10.1016/j.est.2024.112497_bb0650) 2023; 282
Shirole (10.1016/j.est.2024.112497_bb1080) 2023; 18
Wang (10.1016/j.est.2024.112497_bb0605) 2022; 55
Zhang (10.1016/j.est.2024.112497_bb0885) 2017; 8
Grazioli (10.1016/j.est.2024.112497_bb0365) 2022; 15
Qiu (10.1016/j.est.2024.112497_bb1245) 2018; 12
Adetunji (10.1016/j.est.2024.112497_bb1300) 2021; 9
Shi (10.1016/j.est.2024.112497_bb0480) 2019; 256
Taha (10.1016/j.est.2024.112497_bb1135) 2022; 10
Abbas (10.1016/j.est.2024.112497_bb1030) 2018; 7
Numan (10.1016/j.est.2024.112497_bb0950) 2022; 32
Moghaddam (10.1016/j.est.2024.112497_bb0800) 2019; 10
Serra (10.1016/j.est.2024.112497_bb0385) 2021; 10
Li (10.1016/j.est.2024.112497_bb0735) 2019; 7
Gong (10.1016/j.est.2024.112497_bb0210) 2021; 12
Walsh (10.1016/j.est.2024.112497_bb0080) 2018; 13
Ahmadi (10.1016/j.est.2024.112497_bb0220) 2021
De Lima (10.1016/j.est.2024.112497_bb1095) 2022; 10
Navia (10.1016/j.est.2024.112497_bb1325) 2022; 15
Lorestani (10.1016/j.est.2024.112497_bb1085) 2018; 145
Headley (10.1016/j.est.2024.112497_bb0030) 2020; 198
Perianes-Rodriguez (10.1016/j.est.2024.112497_bb0130) 2016; 10
Pombo (10.1016/j.est.2024.112497_bb0285) 2023; 14
Lorestani (10.1016/j.est.2024.112497_bb0595) 2019; 178
Pires (10.1016/j.est.2024.112497_bb1005) 2018; 100
Zheng (10.1016/j.est.2024.112497_bb0780) 2021; 131
Sfikas (10.1016/j.est.2024.112497_bb0350) 2015; 67
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Knezović (10.1016/j.est.2024.112497_bb0575) 2021; 226
Saez-De-Ibarra (10.1016/j.est.2024.112497_bb0630) 2016; 52
Ashoornezhad (10.1016/j.est.2024.112497_bb0805) 2021; 31
Herc (10.1016/j.est.2024.112497_bb0450) 2022; 252
Ma (10.1016/j.est.2024.112497_bb1265) 2023; 14
Fregosi (10.1016/j.est.2024.112497_bb1000) 2023; 13
Home-Ortiz (10.1016/j.est.2024.112497_bb0635) 2019; 172
Hu (10.1016/j.est.2024.112497_bb0730) 2017; 11
Ali (10.1016/j.est.2024.112497_bb0205) 2023
Boglou (10.1016/j.est.2024.112497_bb1100) 2023; 11
Nayak (10.1016/j.est.2024.112497_bb1225) 2018; 17
Chen (10.1016/j.est.2024.112497_bb1230) 2020; 14
Tooryan (10.1016/j.est.2024.112497_bb0225) 2020
Bian (10.1016/j.est.2024.112497_bb0810) 2022
Khamies (10.1016/j.est.2024.112497_bb0845) 2023; 73
Sharma (10.1016/j.est.2024.112497_bb1150) 2018; 148
Castillejo-Cuberos (10.1016/j.est.2024.112497_bb1345) 2023; 334
Sharma (10.1016/j.est.2024.112497_bb0145) 2016
Symeonidou (10.1016/j.est.2024.112497_bb0835) 2021; 309
Li (10.1016/j.est.2024.112497_bb1210) 2022; 309
Mortaz (10.1016/j.est.2024.112497_bb1275) 2020; 11
Al Shereiqi (10.1016/j.est.2024.112497_bb0230) 2020; 13
Memarzadeh (10.1016/j.est.2024.112497_bb0200) 2023
Alharbi (10.1016/j.est.2024.112497_bb0155) 2018; 9
Liu (10.1016/j.est.2024.112497_bb0640) 2021; 41
Hannan (10.1016/j.est.2024.112497_bb0055) 2020; 131
Kerdphol (10.1016/j.est.2024.112497_bb0190) 2016; 83
Lata (10.1016/j.est.2024.112497_bb1180) 2020; 30
Verástegui (10.1016/j.est.2024.112497_bb0535) 2021; 234
Falama (10.1016/j.est.2024.112497_bb0565) 2023; 266
Javadi (10.1016/j.est.2024.112497_bb1220) 2024; 39
Psarros (10.1016/j.est.2024.112497_bb0645) 2022; 55
Gholami (10.1016/j.est.2024.112497_bb1075) 2023; 11
Ding (10.1016/j.est.2024.112497_bb1365) 2023; 9
Liu (10.1016/j.est.2024.112497_bb1320) 2021; 290
Li (10.1016/j.est.2024.112497_bb0235) 2023
Salman (10.1016/j.est.2024.112497_bb0870) 2020; 8
Li (10.1016/j.est.2024.112497_bb0405) 2022; 261
Zhu (10.1016/j.est.2024.112497_bb0790) 2023; 72
Confrey (10.1016/j.est.2024.112497_bb1205) 2020; 14
Jiang (10.1016/j.est.2024.112497_bb0315) 2019; 176
Moazzami (10.1016/j.est.2024.112497_bb0795) 2017; 11
Bhuvanesh (10.1016/j.est.2024.112497_bb0680) 2019; 43
Dong (10.1016/j.est.2024.112497_bb0910) 2017; 8
Li (10.1016/j.est.2024.112497_bb0015) 2019; 7
Badiei (10.1016/j.est.2024.112497_bb0455) 2023; 16
Cao (10.1016/j.est.2024.112497_bb0720) 2022; 142
Andam (10.1016/j.est.2024.112497_bb0860) 2023; 11
Xie (10.1016/j.est.2024.112497_bb0925) 2022; 16
Wu (10.1016/j.est.2024.112497_bb0295) 2019; 105
Zhang (10.1016/j.est.2024.112497_bb0500) 2016; 10
Li (10.1016/j.est.2024.112497_bb0655) 2017; 114
Wu (10.1016/j.est.2024.112497_bb0320) 2019
International renewable energy agency (IRENA) (10.1016/j.est.2024.112497_bb0005)
Ahadi (10.1016/j.est.2024.112497_bb0435) 2016; 170
Jabr (10.1016/j.est.2024.112497_bb0185) 2015; 30
Zhang (10.1016/j.est.2024.112497_bb0370) 2023; 9
Mohamad (10.1016/j.est.2024.112497_bb0355) 2019; 7
Afzali (10.1016/j.est.2024.112497_bb1120) 2023; 17
Demirhan (10.1016/j.est.2024.112497_bb1065) 2020; 59
Bin Wali (10.1016/j.est.2024.112497_bb0100) 2021; 35
Tahir (10.1016/j.est.2024.112497_bb0335) 2022; 55
Zhang (10.1016/j.est.2024.112497_bb0770) 2023; 66
Priya (10.1016/j.est.2024.112497_bb0905) 2023; 2023
Hu (10.1016/j.est.2024.112497_bb0890) 2020; 8
Tian (10.1016/j.est.2024.112497_bb0830) 2020; 8
Ruttenstock (10.1016/j.est.2024.112497_bb0090) 2012; 28
Calderón (10.1016/j.est.2024.112497_bb0120) 2020; 200
Mohamad (10.1016/j.est.2024.112497_bb0485) 2021; 223
Pupo-Roncallo (10.1016/j.est.2024.112497_bb0990) 2021; 2
Srinivasan (10.1016/j.est.2024.112497_bb1260) 2023; 338
Mukhopadhyay (10.1016/j.est.2024.112497_bb0970) 2022; 30
Zhou (10.1016/j.est.2024.112497_bb1250) 2020; 11
Khan (10.1016/j.est.2024.112497_bb0530) 2019; 9
Wang (10.1016/j.est.2024.112497_bb1355) 2023; 234
Shang (10.1016/j.est.2024.112497_bb0525) 2016; 74
Lei (10.1016/j.est.2024.112497_bb0395) 2023; 16
Tarragona (10.1016/j.est.2024.112497_bb0070) 2020; 32
Giannelos (10.1016/j.est.2024.112497_bb0420) 2021; 14
Scott (10.1016/j.est.2024.112497_bb0460) 2019
Wan (10.1016/j.est.2024.112497_bb1040) 2021; 12
Schlachtberger (10.1016/j.est.2024.112497_bb0330) 2018; 163
Khasanov (10.1016/j.est.2024.112497_bb1015) 2021; 29
Abdelaziz (10.1016/j.est.2024.112497_bb1200) 2018; 46
Abou El-Ela (10.1016/j.est.2024.112497_bb0560) 2022; 55
Dogan (10.1016/j.est.2024.112497_bb0265) 2021; 24
Otsuki (10.1016/j.est.2024.112497_bb1280) 2022
Jiang (10.1016/j.est.2024.112497_bb0215) 2021
Patnaik (10.1016/j.est.2024.112497_bb0995) 2022; 30
Cao (10.1016/j.est.2024.112497_bb1020) 2022; 13
Sharma (10.1016/j.est.2024.112497_bb0475) 2016; 10
Zhang (10.1016/j.est.2024.112497_bb0825) 2022
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Rao (10.1016/j.est.2024.112497_bb1350) 2022; 15
I. Renewable Energy Agency (IRENA) (10.1016/j.est.2024.112497_bb0040)
S.M. (10.1016/j.est.2024.112497_bb1170) 2023; 11
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Singh (10.1016/j.est.2024.112497_bb0850) 2020; 8
Koiwa (10.1016/j.est.2024.112497_bb0920) 2021; 15
Tooryan (10.1016/j.est.2024.112497_bb1010) 2020; 212
Thirunavukkarasu (10.1016/j.est.2024.112497_bb1115) 2023; 74
Odero (10.1016/j.est.2024.112497_bb1255) 2022; 2022
Graça Gomes (10.1016/j.est.2024.112497_bb0625) 2023; 263
Chen (10.1016/j.est.2024.112497_bb1195) 2023
Souayfane (10.1016/j.est.2024.112497_bb0975) 2023; 70
Abdeltawab (10.1016/j.est.2024.112497_bb0855) 2022; 16
Alam (10.1016/j.est.2024.112497_bb0820) 2021; 31
Agrali (10.1016/j.est.2024.112497_bb1090) 2020; 120
Pfenninger (10.1016/j.est.2024.112497_bb0345) 2017; 197
Roy (10.1016/j.est.2024.112497_bb1270) 2018
Qiu (10.1016/j.est.2024.112497_bb0620) 2021; 9
Ooha (10.1016/j.est.2024.112497_bb0785) 2022; 15
Raoofi (10.1016/j.est.2024.112497_bb0125) 2023; 59
International Energy Agency (10.1016/j.est.2024.112497_bb0035)
Abid (10.1016/j.est.2024.112497_bb0745) 2023; 72
Segurado (10.1016/j.est.2024.112497_bb0410) 2016; 177
Nawaz (10.1016/j.est.2024.112497_bb1155) 2020; 30
Tafone (10.1016/j.est.2024.112497_bb1310) 2023; 330
Tahir (10.1016/j.est.2024.112497_bb0275) 2022; 55
Ma (10.1016/j.est.2024.112497_bb0250) 2019
Gevorgian (10.1016/j.est.2024.112497_bb0025) 2013
Brenna (10.1016/j.est.2024.112497_bb0615) 2016; 8
Dvorkin (10.1016/j.est.2024.112497_bb0180) 2017
Coppitters (10.1016/j.est.2024.112497_bb1035) 2020; 213
Mohamed (10.1016/j.est.2024.112497_bb0815) 2019; 10
Zhang (10.1016/j.est.2024.112497_bb1130) 2020
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Wu (10.1016/j.est.2024.112497_bb0150) 2017
Bracco (10.1016/j.est.2024.112497_bb0985) 2020; 13
Lee (10.1016/j.est.2024.112497_bb0240) 2022
Schram (10.1016/j.est.2024.112497_bb0935) 2018; 223
Welder (10.1016/j.est.2024.112497_bb0170) 2018
Dutta (10.1016/j.est.2024.112497_bb0710) 2023; 0
Poncelet (10.1016/j.est.2024.112497_bb0310) 2016; 162
Polleux (10.1016/j.est.2024.112497_bb0245) 2021
Hemmati (10.1016/j.est.2024.112497_bb1175) 2018; 152
Feng (10.1016/j.est.2024.112497_bb1295) 2018; 6
Strnad (10.1016/j.est.2024.112497_bb0980) 2018; 100
Ramadan (10.1016/j.est.2024.112497_bb0900) 2022
Usaola (10.1016/j.est.2024.112497_bb1235) 2022; 12
Ornelas-Tellez (10.1016/j.est.2024.112497_bb1050) 2023; 44
Heidari (10.1016/j.est.2024.112497_bb0660) 2021; 35
Gulagi (10.1016/j.est.2024.112497_bb0675) 2017; 10
Cabeza (10.1016/j.est.2024.112497_bb0075) 2020; 32
Pinto (10.1016/j.est.2024.112497_bb0695) 2023; 272
Dumlao (10.1016/j.est.2024.112497_bb0465) 2021; 14
Rocha (10.1016/j.est.2024.112497_bb0515) 2022; 51
Torabi (10.1016/j.est.2024.112497_bb0520) 2023
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Snippet Considering the critical nature of climate change mitigation, it is imperative to boost the integration of renewable energy sources (RES) into the power...
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SubjectTerms Bibliometric analysis
Energy storage system
Optimization
Renewable energy integration
Research trends
Uncertainty
Title Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis
URI https://dx.doi.org/10.1016/j.est.2024.112497
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