IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v229y2024ics0960148124007729.html
   My bibliography  Save this article

The role of storage in energy security performance based on diversification and concentration for distributed energy systems

Author

Listed:
  • Servín-Campuzano, Hermelinda
  • Domínguez-Pérez, Valeria Monserrat
  • Marín-Mendoza, Pablo César
  • Panales-Pérez, Alexander
  • Fuentes-Cortés, Luis Fabián

Abstract

This work addresses the use of diversification and deconcentration strategies of primary sources of energy supply for the multi-objective design of distributed generation systems based on renewable sources. The Shannon–Wiener and Herfindahl–Hirschman indices are proposed as optimal design objectives. The utopia-tracking method is used to identify trade-offs between the total annual cost of the system and the efficiency of the storage system. The storage system is included in the assessment of diversification and deconcentration due to its functions as a backup unit in the event of adverse system operating conditions. Cases of interconnected and off-grid systems are addressed. The results show that, by including the storage system, an over-diversification of supply sources is generated and that, in the absence of various sources, as occurs in off-grid systems, storage generates sufficient flexibility to reach a trade-off among economic performance, diversification of supply sources and energy efficiency. The robust nonlinear programming model is fed with real data from a residential building.

Suggested Citation

  • Servín-Campuzano, Hermelinda & Domínguez-Pérez, Valeria Monserrat & Marín-Mendoza, Pablo César & Panales-Pérez, Alexander & Fuentes-Cortés, Luis Fabián, 2024. "The role of storage in energy security performance based on diversification and concentration for distributed energy systems," Renewable Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:renene:v:229:y:2024:i:c:s0960148124007729
    DOI: 10.1016/j.renene.2024.120704
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124007729
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120704?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. McIlwaine, Neil & Foley, Aoife M. & Morrow, D. John & Al Kez, Dlzar & Zhang, Chongyu & Lu, Xi & Best, Robert J., 2021. "A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems," Energy, Elsevier, vol. 229(C).
    3. Pedro I. Hancevic, Hector M. Nuñez, and Juan Rosellón, 2022. "Electricity Tariff Rebalancing in Emerging Countries: The Efficiency-equity Tradeoff and Its Impact on Photovoltaic Distributed Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    4. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    5. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "Energy security and improvements in the function of diversity indices—Taiwan energy supply structure case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 9-20.
    6. Dagar, Vishal & Dagher, Leila & Rao, Amar & Doytch, Nadia & Kagzi, Muneza, 2024. "Economic policy uncertainty: Global energy security with diversification," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 248-263.
    7. De Rosa, Mattia & Gainsford, Kenneth & Pallonetto, Fabiano & Finn, Donal P., 2022. "Diversification, concentration and renewability of the energy supply in the European Union," Energy, Elsevier, vol. 253(C).
    8. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    9. Alexander Fekete & Katerina Tzavella & Roland Baumhauer, 2017. "Spatial exposure aspects contributing to vulnerability and resilience assessments of urban critical infrastructure in a flood and blackout context," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 151-176, March.
    10. Come Zebra, Emília Inês & van der Windt, Henny J. & Nhumaio, Geraldo & Faaij, André P.C., 2021. "A review of hybrid renewable energy systems in mini-grids for off-grid electrification in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    11. Bartolini, Andrea & Carducci, Francesco & Muñoz, Carlos Boigues & Comodi, Gabriele, 2020. "Energy storage and multi energy systems in local energy communities with high renewable energy penetration," Renewable Energy, Elsevier, vol. 159(C), pages 595-609.
    12. Buenfil Román, V. & Espadas Baños, G.A. & Quej Solís, C.A. & Flota-Bañuelos, M.I. & Rivero, M. & Escalante Soberanis, M.A., 2022. "Comparative study on the cost of hybrid energy and energy storage systems in remote rural communities near Yucatan, Mexico," Applied Energy, Elsevier, vol. 308(C).
    13. Yunhe Yu & Nishant Narayan & Victor Vega-Garita & Jelena Popovic-Gerber & Zian Qin & Marnix Wagemaker & Pavol Bauer & Miro Zeman, 2018. "Constructing Accurate Equivalent Electrical Circuit Models of Lithium Iron Phosphate and Lead–Acid Battery Cells for Solar Home System Applications," Energies, MDPI, vol. 11(9), pages 1-20, September.
    14. Stephen A. Rhoades, 1993. "The Herfindahl-Hirschman index," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Mar, pages 188-189.
    15. Chu Donatus Iweh & Samuel Gyamfi & Emmanuel Tanyi & Eric Effah-Donyina, 2021. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits," Energies, MDPI, vol. 14(17), pages 1-34, August.
    16. Chalvatzis, Konstantinos J. & Ioannidis, Alexis, 2017. "Energy supply security in the EU: Benchmarking diversity and dependence of primary energy," Applied Energy, Elsevier, vol. 207(C), pages 465-476.
    17. Zakernezhad, Hamid & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Optimal resilient operation of multi-carrier energy systems in electricity markets considering distributed energy resource aggregators," Applied Energy, Elsevier, vol. 299(C).
    18. Kumar, T. Bharath & Singh, Anoop, 2021. "Ancillary services in the Indian power sector – A look at recent developments and prospects," Energy Policy, Elsevier, vol. 149(C).
    19. Akio Matsumoto & Ugo Merlone & Ferenc Szidarovszky, 2012. "Some notes on applying the Herfindahl--Hirschman Index," Applied Economics Letters, Taylor & Francis Journals, vol. 19(2), pages 181-184, February.
    20. Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    21. Kosai, Shoki & Unesaki, Hironobu, 2020. "Short-term vs long-term reliance: Development of a novel approach for diversity of fuels for electricity in energy security," Applied Energy, Elsevier, vol. 262(C).
    22. Yang, Yang & Cao, Yang & Yang, Li-Ting (Grace), 2017. "Product diversification and property performance in the urban lodging market: The relationship and its moderators," Tourism Management, Elsevier, vol. 59(C), pages 363-375.
    23. Jeong-Pyo Choi & Thomas Cowing, 2002. "Diversification, Concentration and Economic Performance: Korean Business Groups," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 271-282, November.
    24. I. Brezina & J. Pekár & Z. Čičková & M. Reiff, 2016. "Herfindahl–Hirschman index level of concentration values modification and analysis of their change," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 49-72, March.
    25. Das, Sayan & Ray, Avishek & De, Sudipta, 2020. "Optimum combination of renewable resources to meet local power demand in distributed generation: A case study for a remote place of India," Energy, Elsevier, vol. 209(C).
    26. González-Bravo, Ramón & Fuentes-Cortés, Luis Fabián & Ponce-Ortega, José María, 2017. "Defining priorities in the design of power and water distribution networks," Energy, Elsevier, vol. 137(C), pages 1026-1040.
    27. Ranaweera, Iromi & Midtgård, Ole-Morten, 2016. "Optimization of operational cost for a grid-supporting PV system with battery storage," Renewable Energy, Elsevier, vol. 88(C), pages 262-272.
    28. Fuentes-Cortés, Luis Fabián & Flores-Tlacuahuac, Antonio, 2018. "Integration of distributed generation technologies on sustainable buildings," Applied Energy, Elsevier, vol. 224(C), pages 582-601.
    29. Fubara, Tekena Craig & Cecelja, Franjo & Yang, Aidong, 2014. "Modelling and selection of micro-CHP systems for domestic energy supply: The dimension of network-wide primary energy consumption," Applied Energy, Elsevier, vol. 114(C), pages 327-334.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ravi Kashyap, 2024. "The Concentration Risk Indicator: Raising the Bar for Financial Stability and Portfolio Performance Measurement," Papers 2408.07271, arXiv.org.
    2. Ghosh, Sourav & Yadav, Sarita & Devi, Ambika & Thomas, Tiju, 2022. "Techno-economic understanding of Indian energy-storage market: A perspective on green materials-based supercapacitor technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Ioannidis, Alexis & Chalvatzis, Konstantinos J. & Li, Xin & Notton, Gilles & Stephanides, Phedeas, 2019. "The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands," Renewable Energy, Elsevier, vol. 143(C), pages 440-452.
    4. Zhu, Bo & Deng, Yuanyue & Hu, Xin, 2023. "Global energy security: Do internal and external risk spillovers matter? A multilayer network method," Energy Economics, Elsevier, vol. 126(C).
    5. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    6. Matsumoto, Ken’ichi & Shiraki, Hiroto, 2018. "Energy security performance in Japan under different socioeconomic and energy conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 391-401.
    7. Shirazi, Masoud & Fuinhas, José Alberto, 2023. "Portfolio decisions of primary energy sources and economic complexity: The world's large energy user evidence," Renewable Energy, Elsevier, vol. 202(C), pages 347-361.
    8. Lu, Hongfang & Xu, FengYing & Liu, Hongxiao & Wang, Jun & Campbell, Daniel E. & Ren, Hai, 2019. "Emergy-based analysis of the energy security of China," Energy, Elsevier, vol. 181(C), pages 123-135.
    9. Frode Eika Sandnes, 2021. "Everyone onboard? Participation ratios as a metric for research activity assessments within young universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6105-6113, July.
    10. Nibedita, B. & Irfan, M., 2024. "Energy mix diversification in emerging economies: An econometric analysis of determinants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    11. Hartani, Mohamed Amine & Rezk, Hegazy & Benhammou, Aissa & Hamouda, Messaoud & Abdelkhalek, Othmane & Mekhilef, Saad & Olabi, A.G., 2023. "Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrid," Energy, Elsevier, vol. 278(C).
    12. Christoph Halser & Florentina Paraschiv, 2022. "Pathways to Overcoming Natural Gas Dependency on Russia—The German Case," Energies, MDPI, vol. 15(14), pages 1-24, July.
    13. Fuentes-Cortés, Luis Fabián & Flores-Tlacuahuac, Antonio & Ponce-Ortega, José María, 2019. "Integrated utility pricing and design of water-energy rural off-grid systems," Energy, Elsevier, vol. 177(C), pages 511-529.
    14. Hernández-Romero, Ilse María & Fuentes-Cortés, Luis Fabián & Nápoles-Rivera, Fabricio, 2019. "Conditions accommodating a dominant stakeholder in the design of renewable air conditioning systems for tourism complexes," Energy, Elsevier, vol. 172(C), pages 808-822.
    15. Li, Min & Yang, Yi & He, Zhaoshuang & Guo, Xinbo & Zhang, Ruisheng & Huang, Bingqing, 2023. "A wind speed forecasting model based on multi-objective algorithm and interpretability learning," Energy, Elsevier, vol. 269(C).
    16. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    17. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    18. Ziad Ragab & Ehsan Pashajavid & Sumedha Rajakaruna, 2024. "Optimal Sizing and Economic Analysis of Community Battery Systems Considering Sensitivity and Uncertainty Factors," Energies, MDPI, vol. 17(18), pages 1-20, September.
    19. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    20. Lorena Mitrione & George Tanewski & Jacqueline Birt, 2014. "The relevance to firm valuation of research and development expenditure in the Australian health-care industry," Australian Journal of Management, Australian School of Business, vol. 39(3), pages 425-452, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:229:y:2024:i:c:s0960148124007729. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.