Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review
Abstract
:1. Introduction
2. Standalone Communities
- They have a smaller environmental impact, compared to conventional grids, due to reduced emissions of gases and particles, as losses are smaller.
- They reduce the distance between production and demand, leading to an improvement in the voltage profile, reduction of losses and costs in transmission and distribution, reduction of investments in transmission and distribution systems and reduction of power congestion in transmission and distribution.
- They improve power quality and reliability by decentralizing production, better matching of energy supply and demand, reducing the impact of large outages on transmission and production and reducing downtime, and improving the time to restart production using the power of small producers.
- They lead to cost savings, through the use of efficient cogeneration of heat and power and the integration of many small producers, in order to increase local production and reduce the cost of distribution and transmission losses.
- They enable profits from participation in the electricity markets, both by enabling power purchases when prices are lower and selling when prices are higher, but also by providing ancillary services, acting as distributed generation units [11].
- The high investment costs of RES systems, although this has dropped drastically lately.
- The possible technical difficulties from the inexperience of controlling a large number of small producers.
- The lack of standards regarding the operation and protection of microgrids.
- Legal and managerial issues; due to lack of legislation and regulations on the operation of microgrids, that have an impact on licensing and connecting.
- Issues of the energy market, such as regulating the price of energy provided by the microgrid during its autonomous operation [11].
3. Methods and Characteristics of Energy Storage Systems
3.1. Storage Methods
- -
- Based on the duration of storage of the produced energy;
- -
- Based on the form of storage of the produced energy.
- -
- Storage duration
- -
- Storage form
- -
- Duration of energy storage, varying from few hours to a few days;
- -
- Storage capacity at an order of magnitude of few to tens of kWs;
- -
- Increased degree of efficiency;
- -
- Immediate return of the stored energy;
- -
- Widely available technologies, with reduced maintenance requirements;
- -
- Technologies that can be used in an urban environment;
- -
- Affordable purchase costs.
3.2. Electrochemical Battery Structure and Characteristics
3.3. Types of Electrochemical Energy Storage Systems
- Lithium-Ion
- Lead–Acid
- Nickel–metal hydride (NiMH)
- Nickel–cadmium (NiCd)
- Flow Batteries
4. Optimization Methods and Demand Side Management Systems
- Information programs. They aim to inform users about the advantages of energy efficiency. Information can be distributed through advertising campaigns, brochures, seminars, etc. Update programs are the basis of the DSM and are present in every DSM measure.
- Technical support programs. They provide consumers with energy inspections and record the technical difficulties that exist in introducing methods of changing demand.
- Financial support programs. They aim to reduce the costs for importing energy efficiency measures. The programs contain loans and subsidies for the purchase of energy-efficient equipment.
- Direct intervention programs. These are programs that “intervene” in the market and promote efficient equipment at no or low cost. Government directives that refer to the determination of the minimum criteria that equipment must meet in order to be considered energy efficient are essentially direct intervention programs.
5. Conclusions
- (a)
- a more integrated approach that may include, among other things, the investigation of the possibility of energy exchange when the energy production is concentrated in the buildings of the microgrid and there is no possibility of utilizing renewable energy;
- (b)
- the economic and technical analysis of the proposed system and the analysis of the costs for the development of the microgrid, the involvement of the users’ behavior with the availability of real-time data on the characteristics of energy demand and weather conditions, as well as the utilization of forecasting models based on the data obtained.
Author Contributions
Funding
Conflicts of Interest
Nomenclature
AC | Alternating Current |
CAES | Compressed Air Energy Storage |
CED | Cumulative Energy Demand |
DC | Direct Current |
DOD | Depth of Discharge |
DSM | Demand Side Management |
ECDL | Electrochemical Double-Layer Capacitors |
ESS | Energy Storage System |
EV | Electric Vehicles |
GHG | Greenhouse Gas Emissions |
GWP | Global Warming Potential |
H2 | Hydrogen |
IEA | International Energy Agency |
IRENA | International Renewable Energy Agency |
KIB | K-Ion Batteries |
LCA | Life Cycle Assessment |
LIB | Lithium-Ion Batteries |
LMO | Lithium–Manganese Oxide |
NCA | Nickel–Cobalt–Aluminum |
NMC | Nickel–Manganese–Cobalt |
PV | Photovoltaic |
RES | Renewable Energy Systems |
RPM | Rounds per Minute |
SIB | Sodium Ion Batteries |
SMES | Superconduction Magnetic Energy Storage System |
TES | Thermal Energy Storage |
UPS | Uninterruptible Power Supply |
References
- Climate Change—United Nations Sustainable Development. Available online: https://www.un.org/sustainabledevelopment/climate-change/ (accessed on 21 January 2021).
- The Paris Agreement|UNFCCC. Available online: http://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (accessed on 21 January 2021).
- RePowerEU Plan COM(2022)230 and Save Energy Communication—European Union—Climate Change Laws of the World. Available online: https://climate-laws.org/geographies/european-union/policies/repowereu-plan-com-2022-230-and-save-energy-communication (accessed on 19 October 2022).
- Green Deal—Information Centre—Research & Innovation—European Commission. Available online: https://ec.europa.eu/research-and-innovation/en/projects/success-stories?item=Green%20deal (accessed on 21 January 2021).
- United Nations Sustainable Development. The Sustainable Development Goals: Our Framework for COVID-19 Recovery. Available online: https://www.un.org/sustainabledevelopment/sdgs-framework-for-covid-19-recovery/ (accessed on 21 January 2021).
- NKFIH European Green Deal Call: €1 Billion Investment to Boost the Green and Digital Transition. 2020. Available online: https://trimis.ec.europa.eu/news/european-green-deal-call-eu1-billion-investment-boost-green-and-digital-transition (accessed on 10 August 2022).
- European Commission. A European Green Deal. Available online: https://ec.europa.eu/info/strategy/priorities-2019-2024/european-green-deal_en (accessed on 4 September 2022).
- H Ενεργειακή Κρίση του 2022. Available online: https://www.envinow.gr/post/i-energeiaki-krisi-tou-2022 (accessed on 4 September 2022).
- Giama, E. Review on ventilation systems for building applications in terms of energy efficiency and environmental impact assessment. Energies 2022, 51, 98. [Google Scholar] [CrossRef]
- Bank of America. Banking, Credit Cards, Loans and Merrill Investing. Available online: https://www.bankofamerica.com/ (accessed on 4 September 2022).
- IRENA—International Renewable Energy Agency. Available online: www.irena.org/ (accessed on 13 November 2022).
- ENGAIA SA—Πρώτες Ύλες. Available online: http://engaia.gr/pages.php?bid=5&id=32&ppg=5 (accessed on 3 September 2022).
- Weber, E.; Cunningham, S.; Kubani Project Advisor Julissa Alvarado, D.; Johnson, R. Our Climate Crisis: A Guide for SoCal Communities in the Wildland Urban Interface. 2022. Available online: static1.squarespace.com/static/5d49c3235e751100013f42ff/t/620172819d7148142c730954/1644262026825/Our+Climate+Crisis+A+Guide+for+SoCal+Communities+in+the+Wildland+Urban+Interface.pdf (accessed on 13 November 2022).
- Pacific Data Integrators. The Pros and Cons of Microgrids. Available online: www.pacificdataintegrators.com/insights/microgrid-pros-and-cons (accessed on 3 September 2022).
- N-Sci Technologies. Microgrids—What Are They and How Do They Work? Available online: https://nsci.ca/2019/11/08/microgrids-what-are-they-and-how-do-they-work/ (accessed on 3 September 2022).
- Rana, M.M.; Uddin, M.; Sarkar, M.R.; Shafiullah, G.M.; Mo, H.; Atef, M. A review on hybrid photovoltaic—Battery energy storage system: Current status, challenges, and future directions. J. Energy Storage 2022, 51, 104597. [Google Scholar] [CrossRef]
- ΤΖHΤHΡΙΔOΥ, Χ. ΣΤAΤΙΣΤΙΚH AΝAΛΥΣH Φ/Β ΠAΡΚΩΝ ΣΤHΝ ΕΛΛAΔA. 2019. Available online: https://ikee.lib.auth.gr/record/302683/files/%CE%A7%CF%81%CE%B9%CF%83%CF%84%CE%AF%CE%BD%CE%B1%20%CE%A4%CE%B6%CE%B7%CF%84%CE%B7%CF%81%CE%AF%CE%B4%CE%BF%CF%85.pdf (accessed on 3 September 2022).
- IEA—International Energy Agency. Available online: https://www.iea.org/ (accessed on 2 September 2022).
- Ab Halim, M.F.M.; Annuar, K.A.M.; Harun, M.H.; Anuar, N.F.; Abid, M.A.A.M.; Zainuddin, M.A. Evaluation of Charging Profile of Lead Acid Battery used in Electrical Scooter. J. Phys. Conf. Ser. 2020, 1529, 032096. [Google Scholar] [CrossRef]
- Choudhury, S. Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and future prospects. J. Energy Storage 2022, 48, 103966. [Google Scholar] [CrossRef]
- Koohi-Fayegh, S.; Rosen, M.A. A review of energy storage types, applications and recent developments. J. Energy Storage 2020, 27, 101047. [Google Scholar] [CrossRef]
- Wali, S.B.; Hannan, M.A.; Reza, M.S.; Ker, P.J.; Begum, R.A.; Rahman, M.S.A.; Mansor, M. Battery storage systems integrated renewable energy sources: A biblio metric analysis towards future directions. J. Energy Storage 2021, 35, 102296. [Google Scholar] [CrossRef]
- Li, X.; Palazzolo, A. A review of flywheel energy storage systems: State of the art and opportunities. J. Energy Storage 2022, 46, 103576. [Google Scholar] [CrossRef]
- Bazdar, E.; Sameti, M.; Nasiri, F.; Haghighat, F. Compressed air energy storage in integrated energy systems: A review Organic Rankin cycle. Renew. Sustain. Energy Rev. 2022, 167, 112701. [Google Scholar] [CrossRef]
- Σταυρακάκης, Γ. Συστήματα Aποθήκευσης Ενέργειας. 2013. Available online: http://repository.edulll.gr/edulll/bitstream/10795/2430/2/2430_3_1_Ενότητα_Σημειώσεις.pdf (accessed on 10 September 2022).
- Faisal, M.; Hannan, M.A.; Ker, P.J.; Hussain, A.; Mansor, M.B.; Blaabjerg, F. Review of energy storage system technologies in microgrid applications: Issues and challenges. IEEE Access 2018, 6, 35143–35164. [Google Scholar] [CrossRef]
- Wang, Y.; Fang, S.; Xu, Y. On control of energy storage systems in microgrids. Microgrids 2021, 289–304. [Google Scholar] [CrossRef]
- Komala, K.; Kumar, K.P.; Cherukuri, S.H.C. Storage and non-Storage Methods of Power balancing to counter Uncertainty in Hybrid Microgrids—A review. J. Energy Storage 2021, 36, 102348. [Google Scholar] [CrossRef]
- Bohra, S.S.; Anvari-Moghaddam, A. A comprehensive review on applications of multicriteria decision-making methods in power and energy systems. Int. J. Energy Res. 2022, 46, 4088–4118. [Google Scholar] [CrossRef]
- Zhang, C.; Wei, Y.L.; Cao, P.F.; Lin, M.C. Energy storage system: Current studies on batteries and power condition system. Renew. Sustain. Energy Rev. 2018, 82, 3091–3106. [Google Scholar] [CrossRef]
- Jafari, M.; Botterud, A.; Sakti, A. Decarbonizing power systems: A critical review of the role of energy storage. Renew. Sustain. Energy Rev. 2022, 158, 112077. [Google Scholar] [CrossRef]
- Kang, H.; Jung, S.; Lee, M.; Hong, T. How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city. Renew. Sustain. Energy Rev. 2022, 157, 112113. [Google Scholar] [CrossRef]
- Lamnatou, C.; Chemisana, D.; Cristofari, C. Smart grids and smart technologies in relation to photovoltaics, storage systems, buildings and the environment. Renew. Energy 2022, 185, 1376–1391. [Google Scholar] [CrossRef]
- Guo, Z.; Wei, W.; Shahidehpour, M.; Wang, Z.; Mei, S. Optimisation methods for dispatch and control of energy storage with renewable integration. IET Smart Grid 2022, 5, 137–160. [Google Scholar] [CrossRef]
- Rafaq, M.S.; Basit, B.A.; Mohammed, S.A.Q.; Jung, J.W. A comprehensive state-of-the-art review of power conditioning systems for energy storage systems: Topology and control applications in power systems. IET Renew. Power Gener. 2022, 16, 1971–1991. [Google Scholar] [CrossRef]
- Zhu, H.; Goh, H.H.; Zhang, D.; Ahmad, T.; Liu, H.; Wang, S.; Li, S.; Liu, T.; Dai, H.; Wu, T. Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality. J. Clean. Prod. 2022, 331, 129809. [Google Scholar] [CrossRef]
- Rahman, M.M.; Oni, A.O.; Gemechu, E.; Kumar, A. Assessment of energy storage technologies: A review. Energy Convers. Manag. 2020, 223, 113295. [Google Scholar] [CrossRef]
- Gutiérrez-Oliva, D.; Colmenar-Santos, A.; Rosales-Asensio, E. A Review of the State of the Art of Industrial Microgrids Based on Renewable Energy. Electronics 2022, 11, 1102. [Google Scholar] [CrossRef]
- Rezaeimozafar, M.; Monaghan, R.F.D.; Barrett, E.; Duffy, M. A review of behind-the-meter energy storage systems in smart grids. Renew. Sustain. Energy Rev. 2022, 164, 112573. [Google Scholar] [CrossRef]
- Hybrid Capacitors: A Powerful Evolution in Electrical Energy Delivery. Available online: https://www.naval-technology.com/sponsored/hybrid-capacitors-a-powerful-evolution-in-electrical-energy-delivery/ (accessed on 10 October 2022).
- Yuan, J.; Hu, X.; Liu, Y.; Zhong, G.; Yu, B.; Wen, Z. Recent progress in sodium/potassium hybrid capacitors. Chem. Commun. 2020, 56, 13933–13949. [Google Scholar] [CrossRef] [PubMed]
- Zhao, D.; Zhao, R.; Dong, S.; Miao, X.; Zhang, Z.; Wang, C.; Yin, L. Alkali-induced 3D crinkled porous Ti3C2 MXene architectures coupled with NiCoP bimetallic phosphide nanoparticles as anodes for high-performance sodium-ion batteries. Energy Environ. Sci. 2019, 12, 2422–2432. [Google Scholar] [CrossRef]
- Thakkar, N.; Paliwal, P. Hydrogen storage based micro-grid: A comprehensive review on technology, energy management and planning techniques. Int. J. Green Energy 2022, 1–19. [Google Scholar] [CrossRef]
- Sutikno, T.; Arsadiando, W.; Wangsupphaphol, A.; Yudhana, A.; Facta, M. A Review of Recent Advances on Hybrid Energy Storage System for Solar Photovoltaics Power Generation. IEEE Access 2022, 10, 42346–42364. [Google Scholar] [CrossRef]
- James, B.D.; Houchins, C.; Huya-Kouadio, J.M.; DeSantis, D.A. Final Report: Hydrogen Storage System Cost Analysis; U.S. Department of Energy Office of Scientific and Technical Information: Oak Ridge, TN, USA, 2016. [Google Scholar] [CrossRef]
- Hassan, I.A.; Ramadan, H.S.; Saleh, M.A.; Hissel, D. Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives. Renew. Sustain. Energy Rev. 2021, 149, 111311. [Google Scholar] [CrossRef]
- Abdullah Al-Karakchi, A.A.; Lacey, G.; Putrus, G. A method of electric vehicle charging to improve battery life. In Proceedings of the 2015 50th International Universities Power Engineering Conference (UPEC), Stoke on Trent, UK, 1–4 September 2015. [Google Scholar] [CrossRef]
- Singh, P.; Lather, J.S. Power management and control of a grid-independent DC microgrid with hybrid energy storage system. Sustain. Energy Technol. Assess. 2021, 43, 100924. [Google Scholar] [CrossRef]
- Zhang, G.; Wen, Z.; Wu, X.; Zhang, J.; Ma, G.; Jin, J. Sol–gel synthesis of Mg2+ stabilized Na-β″/β-Al2O3 solid electrolyte for sodium anode battery. J. Alloys Compd. 2014, 613, 80–86. [Google Scholar] [CrossRef]
- Tomaszewska, A.; Chu, Z.; Feng, X.; O’Kane, S.; Liu, X.; Chen, J.; Ji, C.; Endler, E.; Li, R.; Liu, L.; et al. Lithium-ion battery fast charging: A review. eTransportation 2019, 1, 100011. [Google Scholar] [CrossRef]
- Xiong, R.; Yu, Q.; Wang, L.Y.; Lin, C. A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter. Appl. Energy 2017, 207, 346–353. [Google Scholar] [CrossRef]
- Rezaee Jordehi, A. An improved particle swarm optimisation for unit commitment in microgrids with battery energy storage systems considering battery degradation and uncertainties. Int. J. Energy Res. 2021, 45, 727–744. [Google Scholar] [CrossRef]
- Pham, T.T.; Kuo, T.C.; Bui, D.M. Reliability evaluation of an aggregate battery energy storage system in microgrids under dynamic operation. Int. J. Electr. Power Energy Syst. 2020, 118, 105786. [Google Scholar] [CrossRef]
- Rand, D.A.J.; Moseley, P.T. Lead–acid battery fundamentals. Lead-Acid Batter. Futur. Automob. 2017, 97–132. [Google Scholar] [CrossRef]
- Hadjipaschalis, I.; Poullikkas, A.; Efthimiou, V. Overview of current and future energy storage technologies for electric power applications. Renew. Sustain. Energy Rev. 2009, 13, 1513–1522. [Google Scholar] [CrossRef]
- Inthamoussou, F.A.; Pegueroles-Queralt, J.; Bianchi, F.D. Control of a supercapacitor energy storage system for microgrid applications. IEEE Trans. Energy Convers. 2013, 28, 690–697. [Google Scholar] [CrossRef]
- Mbungu, N.T.; Bansal, R.C.; Naidoo, R.M.; Bettayeb, M.; Siti, M.W.; Bipath, M. A dynamic energy management system using smart metering. Appl. Energy 2020, 280, 115990. [Google Scholar] [CrossRef]
- San Martín, I.; Ursua, A.; Sanchis, P. Integration of fuel cells and supercapacitors in electrical microgrids: Analysis, modelling and experimental validation. Int. J. Hydrogen Energy 2013, 38, 11655–11671. [Google Scholar] [CrossRef]
- Akhil, A.; Huff, G.; Currier, A.; Kaun, B.; Rastler, D. DOE/EPRI 2013 Electricity Storage Handbook in Collaboration with Nreca; Sandia National Laboratories: Albuquerque, NM, USA, 2013. [Google Scholar]
- Li, J.; Xiong, R.; Yang, Q.; Liang, F.; Zhang, M.; Yuan, W. Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system. Appl. Energy 2017, 201, 257–269. [Google Scholar] [CrossRef]
- Zou, K.; Deng, W.; Cai, P.; Deng, X.; Wang, B.; Liu, C.; Li, J.; Hou, H.; Zou, G.; Ji, X. Prelithiation/Presodiation Techniques for Advanced Electrochemical Energy Storage Systems: Concepts, Applications, and Perspectives. Adv. Funct. Mater. 2021, 31, 2005581. [Google Scholar] [CrossRef]
- Saubanère, M.; McCalla, E.; Tarascon, J.M.; Doublet, M.L. The intriguing question of anionic redox in high-energy density cathodes for Li-ion batteries. Energy Environ. Sci. 2016, 9, 984–991. [Google Scholar] [CrossRef]
- Verbrugge, M.; Tate, E. Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena. J. Power Sources 2004, 126, 236–249. [Google Scholar] [CrossRef]
- Baker, J. New technology and possible advances in energy storage. Energy Policy 2008, 36, 4368–4373. [Google Scholar] [CrossRef]
- Parra, D.; Swierczynski, M.; Stroe, D.I.; Norman, S.A.; Abdon, A.; Worlitschek, J.; O’Doherty, T.; Rodrigues, L.; Gillott, M.; Zhang, X.; et al. An interdisciplinary review of energy storage for communities: Challenges and perspectives. Renew. Sustain. Energy Rev. 2017, 79, 730–749. [Google Scholar] [CrossRef]
- Lukic, S.M.; Cao, J.; Bansal, R.C.; Rodriguez, F.; Emadi, A. Energy storage systems for automotive applications. IEEE Trans. Ind. Electron. 2008, 55, 2258–2267. [Google Scholar] [CrossRef]
- Scopus—Document details—Application and Modeling of Battery Energy Storage in Power Systems|Signed in. Available online: www.ieeexplore.ieee.org/document/7562828 (accessed on 15 October 2022).
- Daniel, C.; Besenhard, J. Handbook of Battery Materials. 2012. Available online: www.books.google.com/books?hl=el&lr=&id=mHhSqIL1TeoC&oi=fnd&pg=PT10&ots=LFLd3mK1ji&sig=l9X6KOl4HXn7sGBI9U1Zrw607Ec. (accessed on 15 October 2022).
- Rajesh, K.S.; Dash, S.S.; Rajagopal, R.; Sridhar, R. A review on control of ac microgrid. Renew. Sustain. Energy Rev. 2017, 71, 814–819. [Google Scholar] [CrossRef]
- Dunn, B.; Kamath, H.; Tarascon, J.M. Electrical energy storage for the grid: A battery of choices. Science 2011, 334, 928–935. [Google Scholar] [CrossRef] [Green Version]
- Palizban, O.; Kauhaniemi, K. Energy storage systems in modern grids—Matrix of technologies and applications. J. Energy Storage 2016, 6, 248–259. [Google Scholar] [CrossRef]
- Díaz-González, F.; Sumper, A.; Gomis-Bellmunt, O.; Villafáfila-Robles, R. A review of energy storage technologies for wind power applications. Renew. Sustain. Energy Rev. 2012, 16, 2154–2171. [Google Scholar] [CrossRef]
- Tan, X.; Li, Q.; Wang, H. Advances and trends of energy storage technology in Microgrid. Int. J. Electr. Power Energy Syst. 2013, 44, 179–191. [Google Scholar] [CrossRef]
- Guney, M.S.; Tepe, Y. Classification and assessment of energy storage systems. Renew. Sustain. Energy Rev. 2017, 75, 1187–1197. [Google Scholar] [CrossRef]
- Berrada, A.; Loudiyi, K.; Zorkani, I. System design and economic performance of gravity energy storage. J. Clean. Prod. 2017, 156, 317–326. [Google Scholar] [CrossRef]
- Rohit, A.K.; Rangnekar, S. An overview of energy storage and its importance in Indian renewable energy sector: Part II—Energy storage applications, benefits and market potential. J. Energy Storage 2017, 13, 447–456. [Google Scholar] [CrossRef]
- Olabi, A.G.; Onumaegbu, C.; Wilberforce, T.; Ramadan, M.; Abdelkareem, M.A.; Al-Alami, A.H. Critical review of energy storage systems. Energy 2021, 214, 118987. [Google Scholar] [CrossRef]
- Berrada, A.; Loudiyi, K.; Garde, R. Dynamic modeling of gravity energy storage coupled with a PV energy plant. Energy 2017, 134, 323–335. [Google Scholar] [CrossRef]
- Olabi, A.G.; Wilberforce, T.; Abdelkareem, M.A.; Ramadan, M. Critical Review of Flywheel Energy Storage System. Energies 2021, 14, 2159. [Google Scholar] [CrossRef]
- Groner, M.L.; Maynard, J.; Breyta, R.; Carnegie, R.B.; Dobson, A.; Friedman, C.S.; Froelich, B.; Garren, M.; Gulland, F.M.D.; Heron, S.F.; et al. Managing marine disease emergencies in an era of rapid change. Philos. Trans. R. Soc. B Biol. Sci. 2016, 371, 20150364. [Google Scholar] [CrossRef] [Green Version]
- Amirante, R.; Cassone, E.; Distaso, E.; Tamburrano, P. Overview on recent developments in energy storage: Mechanical, electrochemical and hydrogen technologies. Energy Convers. Manag. 2017, 132, 372–387. [Google Scholar] [CrossRef]
- Xu, Y.; Pi, H.; Ren, T.; Yang, Y.; Ding, H.; Peng, T.; Li, L. Design of a Multipulse High-Magnetic-Field System Based on Flywheel Energy Storage. IEEE Trans. Appl. Supercond. 2016, 26, 5207005. [Google Scholar] [CrossRef]
- Choudhury, S. Flywheel energy storage systems: A critical review on technologies, applications, and future prospects. Int. Trans. Electr. Energy Syst. 2021, 31, e13024. [Google Scholar] [CrossRef]
- Arani, A.A.K.; Karami, H.; Gharehpetian, G.B.; Hejazi, M.S.A. Review of Flywheel Energy Storage Systems structures and applications in power systems and microgrids. Renew. Sustain. Energy Rev. 2017, 69, 9–18. [Google Scholar] [CrossRef]
- Yang, B.; Makarov, Y.; Desteese, J.; Viswanathan, V.; Nyeng, P.; McManus, B.; Pease, J. On the use of energy storage technologies for regulation services in electric power systems with significant penetration of wind energy. In Proceedings of the 2008 5th International Conference on the European Electricity Market, Lisbon, Portugal, 28–30 May 2008; Available online: https://ieeexplore.ieee.org/abstract/document/4579075 (accessed on 2 September 2022).
- Jarnut, M.; Wermiński, S.; Waśkowicz, B. Comparative analysis of selected energy storage technologies for prosumer-owned microgrids. Renew. Sustain. Energy Rev. 2017, 74, 925–937. [Google Scholar] [CrossRef]
- Chen, T.; Jin, Y.; Lv, H.; Yang, A.; Liu, M.; Chen, B.; Xie, Y.; Chen, Q. Applications of Lithium-Ion Batteries in Grid-Scale Energy Storage Systems. Trans. Tianjin Univ. 2020, 26, 208–217. [Google Scholar] [CrossRef] [Green Version]
- Balakrishnan, N.T.M.; Das, A.; Jishnu, N.S.; Raphael, L.R.; Joyner, J.D.; Ahn, J.-H.; Jabeen Fatima, M.J.; Prasanth, R. The Great History of Lithium-Ion Batteries and an Overview on Energy Storage Devices, In Electrospinning for Advanced Energy Storage Applications; Springer: Singapore, 2021; pp. 1–21. [Google Scholar] [CrossRef]
- Kawakami, N.; Iijima, Y.; Sakanaka, Y.; Fukuhara, M.; Ogawa, K.; Bando, M.; Matsuda, T. Development and field experiences of stabilization system using 34MW NAS batteries for a 51MW Wind farm. In Proceedings of the 2010 IEEE International Symposium on Industrial Electronics, Bari, Italy, 4–7 July 2010; pp. 2371–2376. [Google Scholar] [CrossRef]
- Smith, W. The role of fuel cells in energy storage. J. Power Sources 2000, 86, 74–83. [Google Scholar] [CrossRef]
- Ries, G.; Neumueller, H.W. Comparison of energy storage in flywheels and SMES. Phys. C Supercond. 2001, 357–360, 1306–1310. [Google Scholar] [CrossRef]
- Thaker, S.; Olufemi Oni, A.; Kumar, A. Techno-economic evaluation of solar-based thermal energy storage systems. Energy Convers. Manag. 2017, 153, 423–434. [Google Scholar] [CrossRef]
- Faias, S.; Santos, P.; Sousa, J.; Castro, R. An Overview on Short and Long-Term Response Energy Storage Devices for Power Systems Applications. RE&PQJ 2018, 1, 441–447. [Google Scholar] [CrossRef]
- SNL Authentication. Available online: https://sso.sandia.gov/idp/Authn/AuthMenu/menu?conversation=e1s1 (accessed on 3 September 2022).
- Lipman, T.E.; Ramos, R.; Kammen, D.M. An Assessment of Battery and Hydrogen Energy Storage Systems Integrated with Wind Energy Resources in California; California Institute for Energy and Environment (CIEE): Berkeley, CA, USA, 2005. [Google Scholar]
- Chen, H.; Cong, T.N.; Yang, W.; Tan, C.; Li, Y.; Ding, Y. Progress in electrical energy storage system: A critical review. Prog. Nat. Sci. 2009, 19, 291–312. [Google Scholar] [CrossRef]
- Liu, M.; Steven Tay, N.H.; Bell, S.; Belusko, M.; Jacob, R.; Will, G.; Saman, W.; Bruno, F. Review on concentrating solar power plants and new developments in high temperature thermal energy storage technologies. Renew. Sustain. Energy Rev. 2016, 53, 1411–1432. [Google Scholar] [CrossRef]
- Li, P. Energy storage is the core of renewable technologies. IEEE Nanotechnol. Mag. 2008, 2, 13–18. [Google Scholar] [CrossRef]
- Benitez, L.E.; Benitez, P.C.; van Kooten, G.C. The economics of wind power with energy storage. Energy Econ. 2008, 30, 1973–1989. [Google Scholar] [CrossRef] [Green Version]
- Kazempour, S.J.; Moghaddam, M.P.; Haghifam, M.R.; Yousefi, G.R. Electric energy storage systems in a market-based economy: Comparison of emerging and traditional technologies. Renew. Energy 2009, 34, 2630–2639. [Google Scholar] [CrossRef]
- Barton, J.P.; Infield, D.G. Energy storage and its use with intermittent renewable energy. IEEE Trans. Energy Convers. 2004, 19, 441–448. [Google Scholar] [CrossRef]
- Zhao, H.; Wu, Q.; Hu, S.; Xu, H.; Rasmussen, C.N. Review of energy storage system for wind power integration support. Appl. Energy 2015, 137, 545–553. [Google Scholar] [CrossRef]
- Ibrahim, H.; Ilinca, A.; Perron, J. Energy storage systems—Characteristics and comparisons. Renew. Sustain. Energy Rev. 2008, 12, 1221–1250. [Google Scholar] [CrossRef]
- Bo, Z.; Yi, K.; Yang, H.; Guo, X.; Huang, Z.; Zheng, Z.; Yan, J.; Cen, K.; Ostrikov, K. (Ken) More from Less but Precise: Industry-relevant Pseudocapacitance by Atomically-precise Mass-loading MnO2 within Multifunctional MXene Aerogel. J. Power Sources 2021, 492, 229639. [Google Scholar] [CrossRef]
- Goia, B.; Cioara, T.; Anghel, I. Virtual Power Plant Optimization in Smart Grids: A Narrative Review. Futur. Internet 2022, 14, 128. [Google Scholar] [CrossRef]
- Kumar, G.V.B.; Palanisamy, K. A review of energy storage participation for ancillary services in a microgrid environment. Inventions 2020, 5, 63. [Google Scholar] [CrossRef]
- Golmohamadi, H. Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors. Sustainability 2022, 14, 7916. [Google Scholar] [CrossRef]
- Dawoud, S.M.; Lin, X.; Okba, M.I. Hybrid renewable microgrid optimization techniques: A review. Renew. Sustain. Energy Rev. 2018, 82, 2039–2052. [Google Scholar] [CrossRef]
- Hannan, M.A.; Faisal, M.; Jern Ker, P.; Begum, R.A.; Dong, Z.Y.; Zhang, C. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications. Renew. Sustain. Energy Rev. 2020, 131, 110022. [Google Scholar] [CrossRef]
- Guo, C.; Luo, F.; Cai, Z.; Dong, Z.Y. Integrated energy systems of data centers and smart grids: State-of-the-art and future opportunities. Appl. Energy 2021, 301, 117474. [Google Scholar] [CrossRef]
- Chong, L.W.; Wong, Y.W.; Rajkumar, R.K.; Rajkumar, R.K.; Isa, D. Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems. Renew. Sustain. Energy Rev. 2016, 66, 174–189. [Google Scholar] [CrossRef]
- Chaudhary, G.; Lamb, J.J.; Burheim, O.S.; Austbø, B. Review of energy storage and energy management system control strategies in microgrids. Energies 2021, 14, 4929. [Google Scholar] [CrossRef]
- Yang, Y.; Bremner, S.; Menictas, C.; Kay, M. Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review. Renew. Sustain. Energy Rev. 2022, 167, 112671. [Google Scholar] [CrossRef]
- Al-Saadi, M.; Al-Greer, M.; Short, M. Strategies for controlling microgrid networks with energy storage systems: A review. Energies 2021, 14, 7234. [Google Scholar] [CrossRef]
- De Mel, I.; Klymenko, O.V.; Short, M. Balancing accuracy and complexity in optimisation models of distributed energy systems and microgrids with optimal power flow: A review. Sustain. Energy Technol. Assessments 2022, 52, 102066. [Google Scholar] [CrossRef]
- Tan, K.M.; Babu, T.S.; Ramachandaramurthy, V.K.; Kasinathan, P.; Solanki, S.G.; Raveendran, S.K. Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration. J. Energy Storage 2021, 39, 102591. [Google Scholar] [CrossRef]
- Ren, F.; Wei, Z.; Zhai, X. A review on the integration and optimization of distributed energy systems. Renew. Sustain. Energy Rev. 2022, 162, 112440. [Google Scholar] [CrossRef]
- Yang, B.; Wang, J.; Chen, Y.; Li, D.; Zeng, C.; Chen, Y.; Guo, Z.; Shu, H.; Zhang, X.; Yu, T.; et al. Optimal sizing and placement of energy storage system in power grids: A state-of-the-art one-stop handbook. J. Energy Storage 2020, 32, 101814. [Google Scholar] [CrossRef]
- Hossain Lipu, M.S.; Ansari, S.; Miah, M.S.; Hasan, K.; Meraj, S.T.; Faisal, M.; Jamal, T.; Ali, S.H.M.; Hussain, A.; Muttaqi, K.M.; et al. A review of controllers and optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and future directions. J. Clean. Prod. 2022, 360, 132188. [Google Scholar] [CrossRef]
- Sun, L.; Qiu, J.; Han, X.; Yin, X.; Dong, Z.Y. Capacity and energy sharing platform with hybrid energy storage system: An example of hospitality industry. Appl. Energy 2020, 280, 115897. [Google Scholar] [CrossRef]
- Alimohammadisagvand, B.; Jokisalo, J.; Kilpeläinen, S.; Ali, M.; Sirén, K. Cost-optimal thermal energy storage system for a residential building with heat pump heating and demand response control. Appl. Energy 2016, 174, 275–287. [Google Scholar] [CrossRef]
- Dai, H.; Jiang, B.; Hu, X.; Lin, X.; Wei, X.; Pecht, M. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends. Renew. Sustain. Energy Rev. 2021, 138, 110480. [Google Scholar] [CrossRef]
- Jung, S.; Kang, H.; Lee, M.; Hong, T. An optimal scheduling model of an energy storage system with a photovoltaic system in residential buildings considering the economic and environmental aspects. Energy Build. 2020, 209, 109701. [Google Scholar] [CrossRef]
- May, G.J.; Davidson, A.; Monahov, B. Lead batteries for utility energy storage: A review. J. Energy Storage 2018, 15, 145–157. [Google Scholar] [CrossRef]
- Melin, H.E. The Lithium-Ion Battery Life Cycle Report 2021; Circular Energy Storage: London, UK, 2021. [Google Scholar]
- Richa, K.; Babbitt, C.W.; Gaustad, G. Eco-Efficiency Analysis of a Lithium-Ion Battery Waste Hierarchy Inspired by Circular Economy. J. Ind. Ecol. 2017, 21, 715–730. [Google Scholar] [CrossRef]
- Hua, Y.; Liu, X.; Zhou, S.; Huang, Y.; Ling, H.; Yang, S. Toward Sustainable Reuse of Retired Lithium-ion Batteries from Electric Vehicles. Resour. Conserv. Recycl. 2021, 168, 105249. [Google Scholar] [CrossRef]
- Pourrahmani, H.; Gay, M.; Van Herle, J. Electric vehicle charging station using fuel cell technology: Two different scenarios and thermodynamic analysis. Energy Rep. 2021, 7, 6955–6972. [Google Scholar] [CrossRef]
- Akimoto, Y.; Takezawa, H.; Iijima, Y.; Suzuki, S.; Okajima, K. Comparative analysis of fuel cell and battery energy systems for Internet of Things devices. Energy Rep. 2020, 6, 29–35. [Google Scholar] [CrossRef]
- Arbabzadeh, M.; Johnson, J.X.; Keoleian, G.A. Parameters driving environmental performance of energy storage systems across grid applications. J. Energy Storage 2017, 12, 11–28. [Google Scholar] [CrossRef] [Green Version]
- Balakrishnan, A.; Brutsch, E.; Jamis, A.; Reyes, W.; Strutner, M.; Sinha, P.; Geyer, R. Environmental Impacts of Utility-Scale Battery Storage in California. In Proceedings of the 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), Chicago, IL, USA, 16–21 June 2019; pp. 2472–2474. [Google Scholar] [CrossRef]
- Ahamed, M.I.; Anwar, N. K-Ion Batteries. In Rechargeable Batteries: History, Progress, and Applications; Scrivener Publishing LLC: Beverly, CA, USA, 2020; pp. 403–423. [Google Scholar] [CrossRef]
- Kubota, K.; Dahbi, M.; Hosaka, T.; Kumakura, S.; Komaba, S. Towards K-Ion and Na-Ion Batteries as “Beyond Li-Ion”. Chem. Rec. 2018, 18, 459–479. [Google Scholar] [CrossRef] [PubMed]
- Sun, C.; Ji, X.; Weng, S.; Li, R.; Huang, X.; Zhu, C.; Xiao, X.; Deng, T.; Fan, L.; Chen, L.; et al. 50C Fast-Charge Li-Ion Batteries using a Graphite Anode. Adv. Mater. 2022. [Google Scholar] [CrossRef] [PubMed]
- Goikolea, E.; Palomares, V.; Wang, S.; de Larramendi, I.R.; Guo, X.; Wang, G.; Rojo, T. Na-Ion Batteries—Approaching Old and New Challenges. Adv. Energy Mater. 2020, 10, 2002055. [Google Scholar] [CrossRef]
- Lithium|2. Available online: www.foeeurope.org/sites/default/files/publications/13_factsheet-lithium-gb.pdf (accessed on 15 October 2022).
- IEA. The Role of Critical Minerals in Clean Energy Transitions. Available online: https://www.iea.org/reports/the-role-of-critical-minerals-in-clean-energy-transitions (accessed on 10 October 2022).
- Tanhaei, M.; Beiramzadeh, Z.; Kholghi Eshkalak, S.; Katal, R. Recycling and Management of Lithium Battery as Electronic Waste. In Handbook of Solid Waste Management: Sustainability through Circular Economy; Springer: Singapore, 2021; pp. 1–30. [Google Scholar] [CrossRef]
- Mossali, E.; Picone, N.; Gentilini, L.; Rodrìguez, O.; Pérez, J.M.; Colledani, M. Lithium-ion batteries towards circular economy: A literature review of opportunities and issues of recycling treatments. J. Environ. Manage. 2020, 264, 110500. [Google Scholar] [CrossRef]
- Nigl, T.; Schwarz, T.E.; Walch, C.; Baldauf, M.; Rutrecht, B.; Pomberger, R. Characterisation and material flow analysis of end-of-life portable batteries and lithium-based batteries in different waste streams in Austria. Waste Manag. Res. 2020, 38, 649–659. [Google Scholar] [CrossRef]
- da Silva Lima, L.; Quartier, M.; Buchmayr, A.; Sanjuan-Delmás, D.; Laget, H.; Corbisier, D.; Mertens, J.; Dewulf, J. Life cycle assessment of lithium-ion batteries and vanadium redox flow batteries-based renewable energy storage systems. Sustain. Energy Technol. Assess. 2021, 46, 101286. [Google Scholar] [CrossRef]
- Maisanam, A.K.S.; Biswas, A.; Sharma, K.K. An innovative framework for electrical energy storage system selection for remote area electrification with renewable energy system: Case of a remote village in India. J. Renew. Sustain. Energy 2020, 12, 024101. [Google Scholar] [CrossRef]
- Paul, D.; Mishra, D.K.; Dordi, A. Commercializing battery storage for integration of renewable energy in India: An insight to business models. Int. J. Sustain. Dev. Plan. 2021, 16, 783–789. [Google Scholar] [CrossRef]
- Nousdilis, A.I.; Kryonidis, G.C.; Kontis, E.O.; Papagiannis, G.K.; Christoforidis, G.C.; Bouhouras, A.S.; Georghiou, G.; Afxentis, S.; Papageorgiou, I.; Veleva, S.; et al. Enhancing storage integration in buildings with photovoltaics (PV-ESTIA project). In Proceedings of the 2018 IEEE International Energy Conference (ENERGYCON), Limassol, Cyprus, 3–7 June 2018; Available online: https://ieeexplore.ieee.org/abstract/document/8398760 (accessed on 4 September 2022).
- Chodakowska, E.; Nazarko, J. Hybrid rough set and data envelopment analysis approach to technology prioritisation. Technol. Econ. Dev. Econ. 2020, 26, 885–908. [Google Scholar] [CrossRef]
- Khan, I. Energy-saving behaviour as a demand-side management strategy in the developing world: The case of Bangladesh. Int. J. Energy Environ. Eng. 2019, 10, 493–510. [Google Scholar] [CrossRef] [Green Version]
- Strbac, G. Demand side management: Benefits and challenges. Energy Policy 2008, 36, 4419–4426. [Google Scholar] [CrossRef]
- Ενέργειας, Μ.Ε. Τεχνικο Επιμελητηριο Ελλαδοσ Τμημα Κεντρικησ Μακεδονιασ . Available online: http://www.tkm.tee.gr/ (accessed on 13 November 2022).
- Nair, N.K.C.; Garimella, N. Battery energy storage systems: Assessment for small-scale renewable energy integration. Energy Build. 2010, 42, 2124–2130. [Google Scholar] [CrossRef]
- Liu, Y.; Zhang, Y.; Cheng, G.; Lv, K.; Zhu, J.; Che, Y. Grid-friendly energy prosumers based on the energy router with load switching functionality. Int. J. Electr. Power Energy Syst. 2023, 144, 108496. [Google Scholar] [CrossRef]
- Ioakimidis, C.S.; Murillo-Marrodán, A.; Bagheri, A.; Thomas, D.; Genikomsakis, K.N. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability 2019, 11, 2527. [Google Scholar] [CrossRef] [Green Version]
- Assunção, A.; Moura, P.S.; de Almeida, A.T. Technical and economic assessment of the secondary use of repurposed electric vehicle batteries in the residential sector to support solar energy. Appl. Energy 2016, 181, 120–131. [Google Scholar] [CrossRef]
- Mythreyee, M.; Nalini, A. Genetic Algorithm Based Smart Grid System for Distributed Renewable Energy Sources. Comput. Syst. Sci. Eng. 2023, 45, 819–837. [Google Scholar] [CrossRef]
- Ma, J.; Ma, X. A review of forecasting algorithms and energy management strategies for microgrids. Syst. Sci. Control. Eng. 2018, 6, 237–248. [Google Scholar] [CrossRef]
- Mariam, L.; Basu, M.; Conlon, M.F. Microgrid: Architecture, policy and future trends. Renew. Sustain. Energy Rev. 2016, 64, 477–489. [Google Scholar] [CrossRef]
- Chen, Z.; Yiliang, X.; Hongxia, Z.; Yujie, G.; Xiongwen, Z. Optimal design and performance assessment for a solar powered electricity, heating and hydrogen integrated energy system. Energy 2023, 262, 125453. [Google Scholar] [CrossRef]
- Chatzisideris, M.D.; Ohms, P.K.; Espinosa, N.; Krebs, F.C.; Laurent, A. Economic and environmental performances of organic photovoltaics with battery storage for residential self-consumption. Appl. Energy 2019, 256, 113977. [Google Scholar] [CrossRef]
- Schmid, F.; Behrendt, F. Genetic sizing optimization of residential multi-carrier energy systems: The aim of energy autarky and its cost. Energy 2023, 262, 125421. [Google Scholar] [CrossRef]
- Ma, X.; Wang, Y.; Qin, J. Generic model of a community-based microgrid integrating wind turbines, photovoltaics and CHP generations. Appl. Energy 2013, 112, 1475–1482. [Google Scholar] [CrossRef]
- Fang, X.; Wang, Y.; Dong, W.; Yang, Q.; Sun, S. Optimal energy management of multiple electricity-hydrogen integrated charging stations. Energy 2022, 262, 125624. [Google Scholar] [CrossRef]
- Cusenza, M.A.; Guarino, F.; Longo, S.; Mistretta, M.; Cellura, M. Reuse of electric vehicle batteries in buildings: An integrated load match analysis and life cycle assessment approach. Energy Build. 2019, 186, 339–354. [Google Scholar] [CrossRef]
- Wu, G.; Wang, C.; Zhao, W.; Meng, Q. Integrated energy management of hybrid power supply based on short-term speed prediction. Energy 2022, 262, 125620. [Google Scholar] [CrossRef]
- Hemmati, R.; Saboori, H.; Jirdehi, M.A. Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources. Energy 2017, 133, 380–387. [Google Scholar] [CrossRef]
- McManus, M.C. Environmental consequences of the use of batteries in low carbon systems: The impact of battery production. Appl. Energy 2012, 93, 288–295. [Google Scholar] [CrossRef] [Green Version]
- Alam, M.S.; Al-Ismail, F.S.; Al-Sulaiman, F.A.; Abido, M.A. Energy management in DC microgrid with an efficient voltage compensation mechanism. Electr. Power Syst. Res. 2023, 214, 108842. [Google Scholar] [CrossRef]
- Al-Salaymeh, A.; Al-Hamamre, Z.; Sharaf, F.; Abdelkader, M.R. Technical and economical assessment of the utilization of photovoltaic systems in residential buildings: The case of Jordan. Energy Convers. Manag. 2010, 51, 1719–1726. [Google Scholar] [CrossRef]
- Zhang, D.; Li, J.; Hui, D. Coordinated control for voltage regulation of distribution network voltage regulation by distributed energy storage systems. Prot. Control Mod. Power Syst. 2018, 3, 3. [Google Scholar] [CrossRef]
- Wu, S.; Li, H.; Liu, Y.; Lu, Y.; Wang, Z.; Liu, Y. A two-stage rolling optimization strategy for park-level integrated energy system considering multi-energy flexibility. Int. J. Electr. Power Energy Syst. 2023, 145, 108600. [Google Scholar] [CrossRef]
- Peters, J.F.; Baumann, M.; Zimmermann, B.; Braun, J.; Weil, M. The environmental impact of Li-Ion batteries and the role of key parameters—A review. Renew. Sustain. Energy Rev. 2017, 67, 491–506. [Google Scholar] [CrossRef]
- Wang, J.; Chen, B.; Che, Y. Bi-level sizing optimization of a distributed solar hybrid CCHP system considering economic, energy, and environmental objectives. Int. J. Electr. Power Energy Syst. 2023, 145, 108684. [Google Scholar] [CrossRef]
- Bui, V.H.; Hussain, A.; Im, Y.H.; Kim, H.M. An internal trading strategy for optimal energy management of combined cooling, heat and power in building microgrids. Appl. Energy 2019, 239, 536–548. [Google Scholar] [CrossRef]
- Pang, K.Y.; Liew, P.Y.; Woon, K.S.; Ho, W.S.; Wan Alwi, S.R.; Klemeš, J.J. Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands. Energy 2023, 262, 125201. [Google Scholar] [CrossRef]
- Longo, S.; Antonucci, V.; Cellura, M.; Ferraro, M. Life cycle assessment of storage systems: The case study of a sodium/nickel chloride battery. J. Clean. Prod. 2014, 85, 337–346. [Google Scholar] [CrossRef]
- Doroudchi, E.; Pal, S.K.; Lehtonen, M.; Kyyra, J. Optimizing energy cost via battery sizing in residential PV/battery systems. In Proceedings of the 2015 IEEE Innovative Smart Grid Technologies—Asia (ISGT ASIA), Bangkok, Thailand, 3–6 November 2015. [Google Scholar]
- Jing, R.; Wang, M.; Zhang, Z.; Wang, X.; Li, N.; Shah, N.; Zhao, Y. Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties. Appl. Energy 2019, 252, 113424. [Google Scholar] [CrossRef]
- Aberilla, J.M.; Gallego-Schmid, A.; Stamford, L.; Azapagic, A. Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities. Appl. Energy 2020, 258, 114004. [Google Scholar] [CrossRef]
- Niu, T.; Hu, B.; Xie, K.; Pan, C.; Jin, H.; Li, C. Spacial coordination between data centers and power system considering uncertainties of both source and load sides. Int. J. Electr. Power Energy Syst. 2021, 124, 106358. [Google Scholar] [CrossRef]
- Every, J.; Li, L.; Dorrell, D.G. Optimal selection of small-scale hybrid PV-battery systems to maximize economic benefit based on temporal load data. In Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), Siem Reap, Cambodia, 18–20 June 2017. [Google Scholar]
- Chen, M.; Gao, C.; Li, Z.; Shahidehpour, M.; Zhou, Q.; Chen, S.; Yang, J. Aggregated Model of Data Network for the Provision of Demand Response in Generation and Transmission Expansion Planning. IEEE Trans. Smart Grid 2021, 12, 512–523. [Google Scholar] [CrossRef]
- Wang, L.; Hu, J.; Yu, Y.; Huang, K.; Hu, Y. Lithium-air, lithium-sulfur, and sodium-ion, which secondary battery category is more environmentally friendly and promising based on footprint family indicators? J. Clean. Prod. 2020, 276, 124244. [Google Scholar] [CrossRef]
- Kang, B.K.; Kim, S.T.; Bae, S.H.; Park, J.W. Effect of a SMES in power distribution network with PV system and PBEVs. IEEE Trans. Appl. Supercond. 2013, 23, 5700104. [Google Scholar] [CrossRef]
- Sukumar, S.; Mokhlis, H.; Mekhilef, S.; Naidu, K.; Karimi, M. Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid. Energy 2016, 118, 1322–1333. [Google Scholar] [CrossRef] [Green Version]
- In Comparison to a Battery-Only System, the Suggested Approach Smooths Out the Battery Current and Increases Battery Life by 32.18%. Available online: https://www.nrel.gov/docs/fy12osti/53470.pdf (accessed on 15 October 2022).
- Zubi, G.; Adhikari, R.S.; Sánchez, N.E.; Acuña-Bravo, W. Lithium-ion battery-packs for solar home systems: Layout, cost and implementation perspectives. J. Energy Storage 2020, 32, 101985. [Google Scholar] [CrossRef]
- Sardi, J.; Mithulananthan, N.; Gallagher, M.; Hung, D.Q. Multiple community energy storage planning in distribution networks using a cost-benefit analysis. Appl. Energy 2017, 190, 453–463. [Google Scholar] [CrossRef]
- Li, J. Optimal sizing of grid-connected photovoltaic battery systems for residential houses in Australia. Renew. Energy 2018, 136, 1245–1254. [Google Scholar] [CrossRef]
- Hiremath, M.; Derendorf, K.; Vogt, T. Comparative life cycle assessment of battery storage systems for stationary applications. Environ. Sci. Technol. 2015, 49, 4825–4833. [Google Scholar] [CrossRef]
- Georgiou, G.S.; Christodoulides, P.; Kalogirou, S.A. Optimizing the energy storage schedule of a battery in a PV grid-connected nZEB using linear programming. Energy 2020, 208, 118177. [Google Scholar] [CrossRef]
- Normalized Root Mean Square Error (RMSE) When Reproducing Sound...|Download Scientific Diagram. Available online: https://www.researchgate.net/figure/Normalized-root-mean-square-error-RMSE-when-reproducing-sound-pressure-fields-on-a_fig2_233667135 (accessed on 3 September 2022).
- Raugei, M.; Leccisi, E.; Fthenakis, V.M. What Are the Energy and Environmental Impacts of Adding Battery Storage to Photovoltaics? A Generalized Life Cycle Assessment. Energy Technol. 2020, 8, 1901146. [Google Scholar] [CrossRef]
- Gjorgievski, V.; Nousdilis, A.I.; Kontis, E.O.; Kryonidis, G.C.; Barzegkar-Ntovom, G.A.; Cundeva, S.; Christoforidis, G.C.; Papagiannis, G.K. Sizing of Electrical and Thermal Storage Systems in the Nearly Zero Energy Building Environment—A Comparative Assessment. In Proceedings of the 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Cagliari, Italy, 28–30 May 2019. [Google Scholar]
- Elzein, H.; Dandres, T.; Levasseur, A.; Samson, R. How can an optimized life cycle assessment method help evaluate the use phase of energy storage systems? J. Clean. Prod. 2019, 209, 1624–1636. [Google Scholar] [CrossRef]
- Barzegkar-Ntovom, G.A.; Kontis, E.O.; Kryonidis, G.C.; Nousdilis, A.I.; Papagiannis, G.K.; Christoforidis, G.C. Performance Assessment of Electrical Storage on Prosumers via Pilot Case Studies. In Proceedings of the 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Cagliari, Italy, 28–30 May 2019. [Google Scholar]
- Koskela, J.; Rautiainen, A.; Järventausta, P. Using electrical energy storage in residential buildings—Sizing of battery and photovoltaic panels based on electricity cost optimization. Appl. Energy 2019, 239, 1175–1189. [Google Scholar] [CrossRef]
- Oliveira, L.; Messagie, M.; Mertens, J.; Laget, H.; Coosemans, T.; Van Mierlo, J. Environmental performance of electricity storage systems for grid applications, a life cycle approach. Energy Convers. Manag. 2015, 101, 326–335. [Google Scholar] [CrossRef]
- Sharma, V.; Haque, M.H.; Aziz, S.M. Energy cost minimization for net zero energy homes through optimal sizing of battery storage system. Renew. Energy 2019, 141, 278–286. [Google Scholar] [CrossRef]
- Mokhtara, C.; Negrou, B.; Bouferrouk, A.; Yao, Y.; Settou, N.; Ramadan, M. Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates. Energy Convers. Manag. 2020, 221, 113192. [Google Scholar] [CrossRef]
- Tharani, K.L.; Dahiya, R. Choice of battery energy storage for a hybrid renewable energy system. Turkish J. Electr. Eng. Comput. Sci. 2018, 26, 666–676. [Google Scholar] [CrossRef]
- Eteiba, M.B.; Barakat, S.; Samy, M.M.; Wahba, W.I. Optimization of an off-grid PV/Biomass hybrid system with different battery technologies. Sustain. Cities Soc. 2018, 40, 713–727. [Google Scholar] [CrossRef]
- Arévalo, P.; Tostado-Véliz, M.; Jurado, F. A novel methodology for comprehensive planning of battery storage systems. J. Energy Storage 2021, 37, 102456. [Google Scholar] [CrossRef]
- Kumtepeli, V.; Howey, D.A. Understanding battery aging in grid energy storage systems. Joule 2022, 6, 2250–2252. [Google Scholar] [CrossRef]
- Maheshwari, A.; Sood, Y.R.; Jaiswal, S. Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis. Wind Eng. 2022. [Google Scholar] [CrossRef]
- Sridhar, S.; Salkuti, S.R. Development and Future Scope of Renewable Energy and Energy Storage Systems. Smart Cities 2022, 5, 668–699. [Google Scholar] [CrossRef]
- Kebede, A.A.; Kalogiannis, T.; Van Mierlo, J.; Berecibar, M. A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration. Renew. Sustain. Energy Rev. 2022, 159, 112213. [Google Scholar] [CrossRef]
- Solyali, D. A comprehensive state-of-the-art review of electrochemical battery storage systems for power grids. Int. J. Energy Res. 2022, 1–27. [Google Scholar] [CrossRef]
- Wüllner, J.; Reiners, N.; Millet, L.; Salibi, M.; Stortz, F.; Vetter, M. Review of Stationary Energy Storage Systems Applications, Their Placement, and Techno-Economic Potential. Curr. Sustain. Energy Rep. 2021, 8, 263–273. [Google Scholar] [CrossRef]
- Townsend, A.; Gouws, R. Technologies and Their Degradation Mechanisms. Energies 2022, 15, 4930. [Google Scholar] [CrossRef]
- IEA. Energy Storage—Fuels & Technologies. Available online: https://www.iea.org/fuels-and-technologies/energy-storage (accessed on 20 October 2022).
Stand-Alone | Grids | |||||
---|---|---|---|---|---|---|
DC | AC | AC/DC | AC | |||
System | Solar Lighting etc. | DC solar home systems | AC solar home systems | Nano-grid Pico-grid | Microgrid Mini-grid | Full-grid |
Applications | Lighting | Lighting and Appliances | Lighting and Appliances | Lighting and Appliances and Emergency Systems | All uses | All uses |
User | Residential Community | Residential Community | Community Commercial | Community Commercial | Commercial Industry | |
Key Component | Generation Storage Lighting Cell charger | Generation Storage DC special appliances | Generation Storage Lighting Regular AC appliances | Generation single-phase distribution | Generation three-phase distribution and controller | Generation three-phase distribution and transmission |
Size (kW) | Capability | Complexity | |
---|---|---|---|
Stand-alone systems | 0–0.1 | ||
Pico-grid | 0–1 | Single Controller | |
Nano-grid | 0–5 | Single Voltage Single Price Controllers negotiate with other across gateways to buy or sell power | Both grid and remote systems Preference for DC systems Typically serving single building Single administrator |
Microgrid | 5–100 | Manage local energy supply and demand Provide variety of voltages Provide variety of quality and reliable options Optimize multiple output energy systems | Incorporate generation Varying pricing possible |
Mini-grid | 0–100,000 | Local generation satisfying local demand Transmission limited to 11 kV | Interconnected costumers |
Discharge Time | Cycles of Lifetime | Energy Density (w/lt) | Efficiency | |
---|---|---|---|---|
Pumped Hydro | 4–16 h | 30–60 years | 0.2–2 | 70–85% |
Compressed Air | 2–30 h | 20–40 years | 2–6 | 40–70% |
Lithium-Ion Battery | 1 min–8 h | 1000–10,000 | 200–400 | 85–95% |
Lead-Acid Battery | 1 min–8 h | 6–40 years | 50–80 | 80–90% |
Flow Battery | hours | 12,000–14,000 | 20–70 | 60–85% |
Hydrogen | mins–week | 5–30 years | 600 | 25–45% |
Flywheel | sec–min | 20,000–100,000 | 20–80 | 70–95% |
Type of Energy Storage System | Advantages | Disadvantages |
---|---|---|
Flywheel | Environmentally friendly High power density No temperature control equipment More life span | Increased capital investment Big self-discharge Decreased energy density |
Thermal | Releases energy during daytime Decreased capital cost Decreased rate of self-discharge Environmentally Friendly | Life span Temperature issues Space issues |
Compressed Air | Control of voltage and frequency Temperature response Air quality Peak energy performance System stability | Geographical regions Increased capital cost Water loss evaporation |
Electrochemical | Adaptable at voltage and current level Nontoxic Variety of sizes Decreased losses | Decrease life span Increased cost Decreased energy density Difficult maintenance |
Energy Storage System | Power [MW] | Specific Energy (Wh/kg) | Energy Efficiency (%) | Rate of Discharge (h) | Time of Response | Cycles of Lifespan | Self Discharge Per Day (%) |
---|---|---|---|---|---|---|---|
Flywheel | 0–1.65 | 5–80 | 80–90 | 0–0.01 | <1 cycle | 104–107 | 100 |
Thermal | 50–250 | 80–200 | 14–18 | 1–24 | – | 3–5 years | 0.05–1 |
Compressed Air | 5–350 | 30–60 | 41–75 | 1–24 | sec–min | >10,000 | 0 |
Hydrogen | 0–50 | 400–1000 | 35–42 | <12 | <1/4 cycle | >1000 | 0 |
Size Categorization | Capacity (kWh) | Application |
---|---|---|
Small | 0.01–0.05 | Portable electrical devices and tools |
1–12 | Electrical bikes, scooters, etc. | |
Medium | 25–100 | Batteries for residential buildings, electrical vehicles EV |
200–1000 | Batteries for large buildings, PV plants | |
Large | <10,000 | Frequency regulation for power quality |
<20,000 | Renewable integration | |
<40,000 | Spinning service | |
>100,000 | UPS, peak shaving, energy time-shifting |
Specifications | Lead Acid | NiCd | NiNH | Lithium-Ion |
---|---|---|---|---|
Specific Energy | 30–50 | 45–80 | 60–120 | 90–250 |
DoD | 200–300 | 1000 | 300–500 | 500–2000 |
Charge Time | 8–16 h | 1–2 h | 2–4 h | 1–4 h |
Self Discharge/Month | 5% | 20% | 30% | <5% |
Cell Voltage | 2V | 1.2 V | 1.2 V | 3.2–3.7 V |
Cost | Low | Moderate | Moderate | High |
Safety Requirements | Thermally stable | Thermally stable | Thermally stable | Protection circuit mandatory |
Internal Resistance | Very Low | Very Low | Low | Moderate-Low |
Maintenance Requirement | 3–6 months | Full discharge every 90 days for full use | Full discharge every 90 days for full use | Maintenance free |
Charge Temperature | −20–50 °C | −20–65 °C | −20–65 °C | −20–60 °C |
In use since | 1800 | 1950 | 1990 | 1991–1999 |
Toxicity | Very High | Very High | Low | Low |
Peak Load Current Best Result | 5 C 0.2 C | 20 C 1 C | 5 C 0.5 C | >30 C <10 C |
Coulombic efficiency | 90% | 70% slow charge 90% fast charge | 70% slow charge 90% fast charge | 99% |
Overcharge Tolerance | High | Moderate | Low | Low |
Optimization Approach | Research Findings | Reference |
---|---|---|
A comparison of several battery types is made for domestic PV panel applications. | Lithium-ion batteries are the most promising field of research. | [149] |
Swarm optimization for fuzzy logic control in energy storage. | Grid-friendly requirements and consumer comfort and reliability. | [150] |
Second use of lithium-ion batteries, firstly used in electric cars. | Batteries can effectively be used without being recycled, as a circular economy option in residential applications. | [151,152] |
Maximum power point tracking for standalone communities. | Significant improvement of microgrid performance. | [153] |
Statistical methods for prediction of energy supply and loads. | Enables the community to operator to anticipate generation and loads and make the necessary preparations. | [154,155] |
Region contraction algorithm for energy cost minimization. | Increase of 21.74% of energy efficiency for solar spectrum splitting integrated with energy storage system. | [156] |
PV batteries for usage in Greece and Denmark; system design and battery selection are cost-effective. | Batteries will become more affordable for storage in Greece because of a 10% cost decrease and in Denmark due to a 30% cost reduction. | [157] |
High temporal and low-term power flow simulation. | Results in low-energy houses but needs further future analysis. | [158] |
Optimization of minimizing dependance by the main grid. | Good communication and management system is needed within the community. | [159] |
Hydrogen energy storage system and model predictive control for cost minimizing through two-stage energy management system. | Economic benefit. | [160] |
Second use of lithium-ion batteries, firstly used in electric cars. | Batteries can effectively be used as a circular economy option in residential applications and recycled at the end of the lifetime. | [152,161] |
Short-term speed prediction. | Optimized performance of the hybrid system with energy efficiency increase. | [162] |
Coordinated control for ESS and PV-integrated distribution system voltage regulation. | System stability and energy balance. | [163] |
Using information that is presently accessible, the effects of producing different kinds of batteries have been assessed in terms of energy, raw materials, and greenhouse gas emissions. | Lithium-ion batteries are the most prevalent source of manufacturing in a number of environmental industries. | [164] |
Algorithm for voltage comparison mechanism for microgrids. | Reliable controller, increased ESS performance without DC deviation. | [165] |
Pay-back period reduction and technoeconomic analysis for households employing solar panels and battery storage systems. | For non-interconnected homes, the payback time is 51 years, whereas for connected families, it is 30 years. | [166] |
Congestion control in electric power networks using optimal ESS planning and scheduling, including generation from RE resources. | System congestion relief. | [167] |
Two-stage rolling optimization. | 13.3% energy efficiency increase and 14.55% system cost reduction. | [168] |
Review of Li-ion battery LCA studies with a focus on the production of batteries. | Estimated average values for environmental effects based on the literature review. | [169] |
Bi-level sizing optimization of ESS. | Reduction of 5.8% in cost, 22.3% in primary energy. | [170] |
Community size optimization for cost reduction. | The optimum cluster size is 10 or 12. Cost is significantly impacted by pipeline length and load complementarity. | [171] |
Proposed renewable based multi-energy system optimization method. | Minimization of emissions and cost. | [172] |
LCA is a term used to describe the energy and environmental effects of sodium/nickel chloride batteries, one of the latest battery technologies for energy storage and smart grids. | By increasing efficiency and reducing carbon emissions during the manufacturing process, the battery’s life-cycle effect may be reduced. | [173] |
Panel surface area for one household’s energy management after a month/cost reduction. | Increased panel surface area is not always the most economical option, but battery utilization is always crucial. | [174] |
Cost optimization of a microgrid considering selling or purchasing of electricity. | The whole operating expense is decreased by 7.43%. | [175] |
The comparison/LCA of equivalent structures for single-family and community-scale deployments. | A household-scale PV system integrated into a microgrid with neighborhood-scale wind turbines and Li-ion batteries is the option that is the most ecologically friendly. | [176] |
Grid generation and transmission expansion planning that is linked with on-grid data centers. | When the percentage of data center load in the system is 4% or 26%, respectively, the cost of grid expansion is reduced by 1.37% and 6.78%. | [177] |
Best utilization of the two technologies in conjunction with cost reduction for home PV and batteries. | In order for batteries to be viable, their price has to drop by 60–70%. | [178] |
A power system’s economic dispatch takes into account the geographical request schedule of on-grid data centers. | Reduction in the cost of dispatch is a little over 21%; for renewable, a high penetration rate grew by almost 15%. | [179] |
Environmental footprints of sodium-ion, lithium–air, and lithium–sulfur are compared. | LieS batteries and sodium-ion batteries both have comparable carbon and environmental footprints. Additionally, sodium-ion batteries have a far bigger water impact than LieS batteries. | [180] |
Management of battery use integrated to an off-grid RES system. | In comparison to the battery-only system, the suggested system’s battery life is increased by 19%. The suggested system’s power losses, however, are 1.7% more than those of the battery-only system. | [181] |
Microgrid PV, battery, and diesel engine for the greatest technology choices and fusion. | During the summer, increasing the battery’s initial capacity to 90–100% had positive effects. | [182] |
Management of battery use integrated to an on-grid RES system. | In comparison to a battery-only system, the suggested approach smooths out the battery current and increases battery life by 32.18%. | [183] |
With several advantages such a light and compact construction, high performance, consistent operation, and extended cycle life, lithium-ion batteries are ideally suited for this application. This research examines both the present and foreseeable pricing difficulties as well as the technical characteristics of lithium-ion battery packs for solar home systems. | The lithium-ion battery is cost-competitive for energy storage despite its relatively high starting cost. | [184] |
Maximization of net present value of an ESS on grid community. | Load control needed for net present value maximization. | [185] |
Based on different economic aspects and cost reduction, PV and battery systems. | Optimized outcome for the most solar panels and the smallest battery system feasible. | [186] |
Minimization of carbon emissions within a microgrid using ESS. | Maximization of energy share is needed. | [181] |
Researchers used ReCiPe-2008 to analyze the global warming potential (GWP) and cumulative energy demand (CED) of four stationary battery technologies: lithium-ion, lead–acid, sodium–sulfur, and vanadium redox flows. | For fixed grid operation, greater round-trip efficiency batteries, such as lithium-ion, are advised. | [187] |
Boost the damping of oscillations in the power supply using ESS. | Smooth seasonal loads and minimization ESS units. | [188] |
To attain net-zero, reduce a building’s net grid energy. | According to the findings, the yearly battery dispatch had a normalized root mean square error of 2.0%. | [189] |
LCA of a 60 MW lithium–manganese oxide (LMO) LIB-powered 100 MW ground-mounted PV system. | Both the life cycle global warming potential and the energy payback time increase by 7–30%. | [190] |
The ideal battery size for a home with heat pumps and solar panels in terms of operational costs. | Given the prices on the market right now, lithium-ion batteries are not cost-effective. | [191] |
California’s energy industry life cycle environmental impact study. | Lithium-ion battery storage had much less of an impact than natural gas generating in four of the six environmental impact categories examined (climate change, fine particulate matter, photochemical ozone production, and land acidification). | [131] |
Evaluates the environmental effects of energy production and ESS using a retrospective consequential LCA. | ESS was operated and deployed with grid optimization, which reduced total marginal operating costs by 28% and GHG emissions by 53%. | [192] |
Batteries as a potential solution for Greece’s distributed energy issues based on PV panel energy production. | Grid transition issues enhanced distribution and transition processes. | [193] |
Residential and communal systems developed as part of this project, which mix diesel, solar, and wind energy with battery storage, and have a life cycle environmental sustainability. | Up to 88% of the life cycle effect of a residential energy system is accounted for by batteries, making them a significant environmental problem. | [176] |
Selection of photovoltaic panels for a single residence or a microgrid based on battery consumption and cost reduction. | The only strategy that can be optimized is the use of microgrids. | [194] |
Employing the life cycle assessment method, conduct research on the effects of developing, disposing of, and using power storage technologies for grid applications. | The results suggest that the power feedstocks utilized during the consumption stage are related to the performance of the storage systems. | [195] |
Battery sizing based on one home’s rooftop solar panels and year cost reduction. | The self-producer achieves more effective effects by using batteries. | [196] |
Hybrid optimization methods for energy and cost minimization. | 7% reduction in energy demand and up to 57% reduction in emissions. | [197] |
Hybrid optimization methods for selection of battery types. | Lithium-ion batteries for decreased levelized cost of electricity and net present value. | [198] |
Multiple optimization methods for off-grid technoeconomic optimization. | Batteries are essential for a PV–biomass standalone system. | [199] |
Novel of clustering technologies and combined optimization methods. | 17% reduction in daily operating costs for nickel–cadmium batteries. More attractive lead–acid and sodium–sulfur. | [200] |
Aging of lithium-ion batteries under different scenarios. | Lithium-ion phosphate cells degradation rate is less with respect to discharge energy. | [201] |
Teaching learning-based optimization for optimal power flow within a grid. | Minimization of operating costs, losses and voltage stability. | [202] |
Review Paper Categorization | Reference |
---|---|
Types of Energy Storage System | [16,20,21,22,25,26,27,30,31,32,33,36,37,38,39,44,203,204,205,206,207] |
Optimization and Management Approaches | [28,29,34,35,105,106,107,108,109,110,111,112,113,114,115,116,117,118] |
Specific System Components | [23,24,43,119] |
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Symeonidou, M.; Papadopoulos, A.M. Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review. Energies 2022, 15, 8631. https://doi.org/10.3390/en15228631
Symeonidou M, Papadopoulos AM. Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review. Energies. 2022; 15(22):8631. https://doi.org/10.3390/en15228631
Chicago/Turabian StyleSymeonidou, Maria, and Agis M. Papadopoulos. 2022. "Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review" Energies 15, no. 22: 8631. https://doi.org/10.3390/en15228631
APA StyleSymeonidou, M., & Papadopoulos, A. M. (2022). Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review. Energies, 15(22), 8631. https://doi.org/10.3390/en15228631