Making the case for time-of-use electric rates to boost the value of battery storage in commercial buildings with grid connected PV systems

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.

[1]  E. Muzenda,et al.  Techno-economic analysis of grid-tied energy storage , 2017, International Journal of Environmental Science and Technology.

[2]  Wouter L. Schram,et al.  Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential , 2018, Applied Energy.

[3]  Kandler Smith,et al.  Analysis of degradation in residential battery energy storage systems for rate-based use-cases , 2020 .

[4]  Yaze Li,et al.  Optimum Integration of Solar Energy With Battery Energy Storage Systems , 2022, IEEE Transactions on Engineering Management.

[5]  Ahmad Faruqui,et al.  The Tariffs of Tomorrow: Innovations in Rate Designs , 2020, IEEE Power and Energy Magazine.

[6]  Ö. Güler,et al.  Economic analysis of grid-connected residential rooftop PV systems in Turkey , 2020 .

[7]  J. G. Slootweg,et al.  Optimizing the technical and economic value of energy storage systems in LV networks for DNO applications , 2018, Sustainable Energy, Grids and Networks.

[8]  Amjad Anvari-Moghaddam,et al.  Robust Optimization Approach for Generation Scheduling of a Hybrid Thermal-Energy Storage System , 2020, 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE).

[9]  Angel Arcos-Vargas,et al.  Residential peak electricity management. A storage and control systems application taking advantages of smart meters , 2018, International Journal of Electrical Power & Energy Systems.

[10]  Junwei Lu,et al.  Multi-objective energy storage capacity optimisation considering Microgrid generation uncertainties , 2020 .

[11]  Guido Carpinelli,et al.  Probabilistic sizing of battery energy storage when time-of-use pricing is applied , 2016 .

[12]  A. Gimenes,et al.  Economic feasibility of battery energy storage systems for replacing peak power plants for commercial consumers under energy time of use tariffs , 2020 .

[13]  Hrvoje Pandžić Optimal battery energy storage investment in buildings , 2018 .

[14]  Fei Peng,et al.  Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China , 2019, Applied Energy.

[15]  E. Muzenda,et al.  Techno-economics and environmental analysis of energy storage for a student residence under a South African time-of-use tariff rate , 2017 .

[16]  Christos N. Markides,et al.  Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings , 2017 .

[17]  Mike B. Roberts,et al.  Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings , 2019, Applied Energy.

[18]  Alvin B. Culaba,et al.  Optimal design of an integrated renewable‐storage energy system in a mixed‐use building , 2020, International Journal of Energy Research.

[19]  Luciane Neves Canha,et al.  Battery Energy Storage Systems: Impact Analysis on Different Loads with Distributed Generation , 2019, 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America).

[20]  Xi Chen,et al.  Energy storage and management system design optimization for a photovoltaic integrated low-energy building , 2020 .

[21]  Wolfgang Ketter,et al.  One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids , 2018 .

[22]  Yu Huang,et al.  Optimal sizing of user-side energy storage considering demand management and scheduling cycle , 2020 .

[23]  A. Faruqui,et al.  Arcturus 2.0: A meta-analysis of time-varying rates for electricity , 2017 .

[24]  Mohan Kolhe,et al.  Techno-economic evaluation of PV based institutional smart micro-grid under energy pricing dynamics , 2020 .

[25]  M. F. Abdullah,et al.  A review on peak load shaving strategies , 2018 .

[26]  Joyce McLaren,et al.  Solar-plus-storage economics: What works where, and why? , 2019, The Electricity Journal.

[27]  Merlinde Kay,et al.  Battery energy storage system size determination in renewable energy systems: A review , 2018, Renewable and Sustainable Energy Reviews.

[28]  Guzmán Díaz,et al.  Maximum income resulting from energy arbitrage by battery systems subject to cycle aging and price uncertainty from a dynamic programming perspective , 2018, Energy.

[29]  Petr Musilek,et al.  Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications , 2018, Energies.

[30]  Canbing Li,et al.  Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms , 2018, IEEE Access.

[31]  Taewoo Kim,et al.  Rapid visualization of the potential residential cost savings from energy storage under time-of-use electric rates , 2019 .

[32]  R. Hanke-Rauschenbach,et al.  Electrical energy storage for industrial grid fee reduction – A large scale analysis , 2020 .