Mostrar el registro sencillo del ítem
Making the case for time-of-use electric rates to boost the value of battery storage in commercial buildings with grid connected PV systems
dc.contributor.author | Sepúlveda, Sergio | |
dc.contributor.author | Hegedus, Steven S. | |
dc.date.accessioned | 2021-12-10T00:22:08Z | |
dc.date.available | 2021-12-10T00:22:08Z | |
dc.date.issued | 2021-03-01 | |
dc.identifier.uri | http://repositorio.ufps.edu.co/handle/ufps/1795 | |
dc.description.abstract | We performed a techno-economic analysis of behind-the-meter photovoltaics (PV) coupled with lithium-ion battery storage under a flat rate and a time-of-use (TOU) rate for commercial buildings using HOMER Grid software. Unique contributions from this work include determining the impact that the battery degradation limit has on the cost-effectiveness of the system, and demonstrating the impact of tariff rates using high-resolution real load data of commercial buildings with different energy usage during a project lifetime of 25 years. From the results, we found that delaying the replacement of the battery has a substantial economic benefit for the system owner. Letting the battery degrade to 50 % of initial capacity is comparable to a 30 % reduction in the battery capital cost during the lifetime of the project because the battery will be replaced only once instead of twice lowering the Net Present Cost. The ability of a given building to benefit from solar-plus-storage depends on the degradation limit and tariff structure, but it does not depend strongly on the load pattern and size. We conclude that TOU tariffs would promote more rapid cost-effective adoption of PV systems with batteries in commercial buildings in the upcoming years | eng |
dc.format.extent | 27 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.publisher | Energy | spa |
dc.relation.ispartof | Energy | |
dc.rights | © 2020 Elsevier Ltd. All rights reserved. | eng |
dc.source | https://www.sciencedirect.com/science/article/abs/pii/S0360544220325548?via%3Dihub | spa |
dc.title | Making the case for time-of-use electric rates to boost the value of battery storage in commercial buildings with grid connected PV systems | eng |
dc.type | Artículo de revista | spa |
dcterms.references | Masson G, Detollenaere A, Van Wetter J, Kaizuka I, Jäger-Waldau A, Donoso J. Snapshot of Global PV Markets 2020. 2020. | spa |
dcterms.references | Hou Q, Zhang N, Du E, Miao M, Peng F, Kang C. Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China. Appl Energy 2019;242:205–15. https://doi.org/10.1016/j.apenergy.2019.03.067. | spa |
dcterms.references | Uddin M, Romlie MF, Abdullah MF, Abd Halim S, Abu Bakar AH, Chia Kwang T. A review on peak load shaving strategies. Renew Sustain Energy Rev 2018;82:3323–32. https://doi.org/10.1016/j.rser.2017.10.056. | spa |
dcterms.references | Yang Y, Bremner S, Menictas C, Kay M. Battery energy storage system size determination in renewable energy systems: A review. Renew Sustain Energy Rev 2018;91:109–25. https://doi.org/10.1016/j.rser.2018.03.047 | spa |
dcterms.references | Khaloie H, Anvari-Moghaddam A. Robust Optimization Approach for Generation Scheduling of a Hybrid Thermal-Energy Storage System. IEEE Int Symp Ind Electron 2020;2020-June:971–6. https://doi.org/10.1109/ISIE45063.2020.9152266 | spa |
dcterms.references | Mishra PP, Latif A, Emmanuel M, Shi Y, McKenna K, Smith K, et al. Analysis of degradation in residential battery energy storage systems for rate-based use-cases. Appl Energy 2020;264:114632. https://doi.org/10.1016/j.apenergy.2020.114632. | spa |
dcterms.references | Martinez-Bolanos JR, Morales Udaeta ME, Veiga Gimenes AL, Oliveira da Silva V. Economic feasibility of battery energy storage systems for replacing peak power plants for commercial consumers under energy time of use tariffs. J Energy Storage 2020;29:101373. https://doi.org/10.1016/j.est.2020.101373 | spa |
dcterms.references | Faruqui A, Bourbonnais C. The Tariffs of Tomorrow: Innovations in Rate Designs. IEEE Power Energy Mag 2020;18:18–25. https://doi.org/10.1109/MPE.2020.2972136. | spa |
dcterms.references | Faruqui A, Sergici S, Warner C. Arcturus 2.0: A meta-analysis of time-varying rates for electricity. Electr J 2017;30:64–72. https://doi.org/10.1016/j.tej.2017.11.003 | spa |
dcterms.references | George SS, Bell E. Key findings from California’s recent statewide TOU pricing pilots. Electr J 2018;31:52–6. https://doi.org/10.1016/j.tej.2018.09.013. | spa |
dcterms.references | McLaren J, Laws N, Anderson K, DiOrio N, Miller H. Solar-plus-storage economics: What works where, and why? Electr J 2019;32:28–46. https://doi.org/10.1016/j.tej.2019.01.006. | spa |
dcterms.references | Fridgen G, Kahlen M, Ketter W, Rieger A, Thimmel M. One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids. Appl Energy 2018;210:800–14. https://doi.org/10.1016/j.apenergy.2017.08.138. | spa |
dcterms.references | Jeddi B, Mishra Y, Ledwich G. Dynamic programming based home energy management unit incorporating PVs and batteries. IEEE Power Energy Soc. Gen. Meet., Chicago, IL: 2017, p. 1–5. https://doi.org/10.1109/PESGM.2017.8273925 | spa |
dcterms.references | Zhou L, Zhang Y, Lin X, Li C, Cai Z, Yang P. Optimal sizing of PV and bess for a smart household considering different price mechanisms. IEEE Access 2018;6:41050–9. https://doi.org/10.1109/ACCESS.2018.2845900. | spa |
dcterms.references | Ding Y, Xu Q, Huang Y. Optimal sizing of user-side energy storage considering demand management and scheduling cycle. Electr Power Syst Res 2020;184:106284. https://doi.org/10.1016/j.epsr.2020.106284. | spa |
dcterms.references | Arcos-Vargas A, Lugo D, Núñez F. Residential peak electricity management. A storage and control systems application taking advantages of smart meters. Int J Electr Power Energy Syst 2018;102:110–21. https://doi.org/10.1016/j.ijepes.2018.04.016. | spa |
dcterms.references | Martins R, Hesse HC, Jungbauer J, Vorbuchner T, Musilek P. Optimal component sizing for peak shaving in battery energy storage system for industrial applications. Energies 2018;11:2048. https://doi.org/10.3390/en11082048. | spa |
dcterms.references | Pandžić H. Optimal battery energy storage investment in buildings. Energy Build 2018;175:189–98. https://doi.org/10.1016/j.enbuild.2018.07.032 | spa |
dcterms.references | Díaz G, Gómez-Aleixandre J, Coto J, Conejero O. Maximum income resulting from energy arbitrage by battery systems subject to cycle aging and price uncertainty from a dynamic programming perspective. Energy 2018;156:647–60. https://doi.org/10.1016/j.energy.2018.05.122 | spa |
dcterms.references | Carpinelli G, Mottola F, Proto D. Probabilistic sizing of battery energy storage when timeof-use pricing is applied. Electr Power Syst Res 2016;141:73–83. https://doi.org/10.1016/j.epsr.2016.07.013 | spa |
dcterms.references | Garmabdari R, Moghimi M, Yang F, Gray E, Lu J. Multi-objective energy storage capacity optimisation considering Microgrid generation uncertainties. Int J Electr Power Energy Syst 2020;119:105908. https://doi.org/10.1016/j.ijepes.2020.105908. | spa |
dcterms.references | Kadri A, Raahemifar K. Optimal Sizing and Scheduling of Battery Storage System Incorporated with PV for Energy Arbitrage in Three Different Electricity Markets. IEEE Can. Conf. Electr. Comput. Eng., Edmonton, AB, Canada: IEEE; 2019, p. 1–6. https://doi.org/10.1109/CCECE.2019.8861776 | spa |
dcterms.references | Roos MH, Geldtmeijer DAM, Nguyen HP, Morren J, Slootweg JG. Optimizing the technical and economic value of energy storage systems in LV networks for DNO applications. Sustain Energy, Grids Networks 2018;16:207–16. https://doi.org/10.1016/j.segan.2018.08.001 | spa |
dcterms.references | Schram WL, Lampropoulos I, van Sark WGJHM. Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential. Appl Energy 2018;223:69–81. https://doi.org/10.1016/j.apenergy.2018.04.023 | spa |
dcterms.references | Mariaud A, Acha S, Ekins-Daukes N, Shah N, Markides CN. Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings. Appl Energy 2017;199:466–78. https://doi.org/10.1016/j.apenergy.2017.04.067 | spa |
dcterms.references | Li Y, Wu J. Optimum Integration of Solar Energy With Battery Energy Storage Systems. IEEE Trans Eng Manag 2020;(in press). https://doi.org/10.1109/TEM.2020.2971246 | spa |
dcterms.references | Tiemann PH, Bensmann A, Stuke V, Hanke-Rauschenbach R. Electrical energy storage for industrial grid fee reduction – A large scale analysis. Energy Convers Manag 2020;208:112539. https://doi.org/10.1016/j.enconman.2020.112539 | spa |
dcterms.references | Lanahan M, Engert S, Kim T, Tabares-Velasco PC. Rapid visualization of the potential residential cost savings from energy storage under time-of-use electric rates. J Build Perform Simul 2019;12:68–81. https://doi.org/10.1080/19401493.2018.1470203. | spa |
dcterms.references | Masebinu SO, Akinlabi ET, Muzenda E, Aboyade AO. Techno-economic analysis of gridtied energy storage. Int J Environ Sci Technol 2018;15:231–42. https://doi.org/10.1007/s13762-017-1414-z | spa |
dcterms.references | Masebinu SO, Akinlabi ET, Muzenda E, Aboyade AO. Techno-economics and environmental analysis of energy storage for a student residence under a South African time-of-use tariff rate. Energy 2017;135:413–29. https://doi.org/10.1016/j.energy.2017.06.118 | spa |
dcterms.references | Liu J, Chen X, Yang H, Li Y. Energy storage and management system design optimization for a photovoltaic integrated low-energy building. Energy 2020;190:116424. https://doi.org/10.1016/j.energy.2019.116424 | spa |
dcterms.references | Sharma A, Kolhe M. Techno-economic evaluation of PV based institutional smart microgrid under energy pricing dynamics. J Clean Prod 2020;264:121486. https://doi.org/10.1016/j.jclepro.2020.121486 | spa |
dcterms.references | Roberts MB, Bruce A, MacGill I. Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings. Appl Energy 2019;245:78–95. https://doi.org/10.1016/j.apenergy.2019.04.001. | spa |
dcterms.references | HOMER Energy by UL. HOMER Grid. Intelligently Reduce Demand Charges with HOMER Grid 2020. https://www.homerenergy.com/products/grid/ (accessed June 30, 2020). | spa |
dcterms.references | Patil RD, Veena S, Sridhar H V. Design and Evaluation of Charging Stations Including Renewables and Storage. Glob. Conf. Adv. Technol., Bangaluru, India: 2019, p. 1–6. https://doi.org/10.1109/gcat47503.2019.8978356. | spa |
dcterms.references | Duman AC, Güler Ö. Economic analysis of grid-connected residential rooftop PV systems in Turkey. Renew Energy 2020;148:697–711. https://doi.org/10.1016/j.renene.2019.10.157. | spa |
dcterms.references | Mostert J, Bekker B. Estimating financial viability of behind-the-meter peak shaving based on load profile shape: A shopping mall case study. Int. SAUPEC/RobMech/PRASA Conf., Cape Town, South Africa: IEEE; 2020, p. 1–6. https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041083. | spa |
dcterms.references | Oliveira Farias HE, Neves Canha L. Battery Energy Storage Systems: Impact Analysis on Different Loads with Distributed Generation. IEEE PES Innov. Smart Grid Technol. Conf. - Lat. Am. (ISGT Lat. Am., Gramado, Brazil: 2019, p. 1–5. https://doi.org/10.1109/ISGTLA.2019.8895361. | spa |
dcterms.references | Al Arrouqi RA, Ellabban O, Rasheed MB, Al-Fagih L. An Assessment of Different Electricity Tariffs on Residential Photovoltaic System Profitability: Australian Case Study. 2nd Int. Conf. Smart Grid Renew. Energy, Doha, Qatar: IEEE; 2019, p. 1–6. https://doi.org/10.1109/SGRE46976.2019.9021078. | spa |
dcterms.references | Del Rosario AJR, Ubando AT, Culaba AB. Development of an Optimization Model for an Integrated Renewable-Storage Energy System in a Mixed-Use Building. IEEE 11th Int. Conf. Humanoid, Nanotechnology, Inf. Technol. Commun. Control. Environ. Manag., Laoag, Philippines: 2019, p. 1–6. https://doi.org/10.1109/HNICEM48295.2019.9072848 | spa |
dcterms.references | Sepúlveda-Mora S. Techno-economic analysis of PV + battery storage systems in commercial buildings with different electric tariffs. Mendeley Data 2020;V1. https://doi.org/10.17632/b3gw6hx98v.1. | spa |
dcterms.references | Municode. Chapter 11 - Electricity. Newark, Delaware - Code Ord 2020. https://library.municode.com/de/newark/codes/code_of_ordinances?nodeId=CD_ORD_C H11EL (accessed May 15, 2020). | spa |
dcterms.references | Southern California Edison. Time-Of-Use (TOU) Rate Plans 2020. https://www.sce.com/residential/rates/Time-Of-Use-Residential-Rate-Plans (accessed June 20, 2020). | spa |
dcterms.references | HOMER Energy by UL. Intelligently Reduce Demand Charges with HOMER Grid 2020. https://www.homerenergy.com/products/grid/index.html (accessed June 22, 2020). | spa |
dcterms.references | Folsom Labs. HelioScope. The new standard in solar design software 2020. https://www.helioscope.com/ (accessed June 30, 2020). | spa |
dcterms.references | Woodhouse M, Smith B, Ramdas A, Margolis R. Crystalline Silicon Photovoltaic Module Manufacturing Costs and Sustainable Pricing: 1H 2018 Benchmark and Cost Reduction Roadmap. 2019. | spa |
dcterms.references | Goldie-Scot L. A Behind the Scenes Take on Lithium-ion Battery Prices. BloombergNEF 2019. https://about.bnef.com/blog/behind-scenes-take-lithium-ion-battery-prices/ (accessed June 19, 2020) | spa |
dcterms.references | Lazard. Lazard’s Levelized Cost of Storage Analysis 2018:1–60. https://www.lazard.com/media/450774/lazards-levelized-cost-of-storage-version-40- vfinal.pdf. | spa |
dcterms.references | Cole W, Frazier AW. Cost Projections for Utility-Scale Battery Storage Cost Projections for Utility- Scale Battery Storage. 2019. | spa |
dc.identifier.doi | https://doi.org/10.1016/j.energy.2020.119447 | |
dc.publisher.place | Reino Unido | spa |
dc.relation.citationedition | Vol.218 (2021) | spa |
dc.relation.citationendpage | 27 | spa |
dc.relation.citationissue | (2021) | spa |
dc.relation.citationstartpage | 1 | spa |
dc.relation.citationvolume | 218 | spa |
dc.relation.cites | Sepúlveda-Mora, S. B., & Hegedus, S. (2021). Making the case for time-of-use electric rates to boost the value of battery storage in commercial buildings with grid connected PV systems. Energy, 218, 119447. | |
dc.relation.ispartofjournal | Energy | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | spa |
dc.subject.proposal | Battery degradation limit | eng |
dc.subject.proposal | Battery Energy Storage System | eng |
dc.subject.proposal | Energy arbitrage | eng |
dc.subject.proposal | HOMER Grid | eng |
dc.subject.proposal | peak shaving | eng |
dc.subject.proposal | techno-economic analysis | eng |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
oaire.accessrights | http://purl.org/coar/access_right/c_16ec | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |