Shared investment in PV panels and battery storage for residential building

Anuradha Kannan , Vamsi Krishna Tumuluru

Energy, Ecology and Environment ›› 2022, Vol. 7 ›› Issue (3) : 236 -249.

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Energy, Ecology and Environment ›› 2022, Vol. 7 ›› Issue (3) : 236 -249. DOI: 10.1007/s40974-021-00235-0
Original Article

Shared investment in PV panels and battery storage for residential building

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Abstract

In this paper, we propose a stochastic joint investment problem to determine the number of photovoltaic (PV) panels and battery storage (BS) units required to satisfy the demand of all the consumers who share a common building. The objective of the proposed problem is to minimize the joint investment cost plus the expected annual energy consumption costs for all consumers over the investment horizon. The problem is also applicable for consumers who have shiftable loads. The proposed problem allocates the random harvested energy and stored energy to the consumers on any operating day in the investment horizon proportional to their investments. This is accomplished by distributing the PV panels and BS units to the consumers as virtual resources in proportion to their contributions towards the total investment cost. The proposed problem facilitates peer-peer energy trading and two-way energy trading with the grid operator. The results reveal that the cost savings under the proposed problem were

15 %
higher compared to the case where the consumers took their investment decisions independently. The impact of net-metering, shiftable loads, budgets, and available rooftop area are rigorously analyzed under the proposed work and compared to special cases.

Keywords

PV generation / Battery storage / Investment / Energy trading / Residential building

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Anuradha Kannan, Vamsi Krishna Tumuluru. Shared investment in PV panels and battery storage for residential building. Energy, Ecology and Environment, 2022, 7(3): 236-249 DOI:10.1007/s40974-021-00235-0

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References

[1]

Aghamohamadi M, Mahmoudi A, Haque MH. Two stage robust sizing and operation co-optimization for residential PV battery systems considering the uncertainty of pv generation and load. IEEE Trans Ind Informat, 2021, 17(2): 1005-1017

[2]

Alhaider M, Fan L. Planning energy storage and photovoltaic panels for demand response with heating ventilation and air conditioning systems. IEEE Trans Ind Informat, 2018, 14(11): 5029-5037

[3]

Alharbi H, Bhattacharya K. Stochastic optimal planning of battery energy storage systems for isolated microgrids. IEEE Trans Sustain Energy, 2018, 9(1): 211-227

[4]

Birge JR, Louveaux F. Introduction to Stochastic Programming, 1997 New York, NY, USA Springer-Verlag

[5]

Blair N (2015) SAM 2014.1.14: General description:NREL/TP-6a20-61019. NREL, http://www.nrel.gov/docs/fy14osti/61019.pdf

[6]

Chakraborty P, Baeyens E, Poolla K, Khargonekar PP, Varaiya P. Sharing storage in a smart grid: A coalitional game approach. IEEE Trans Smart Grid, 2019, 10(4): 4379-4390

[7]

Contreras-Ocaña JE, Singh A, Bésanger Y, Wurtz F. Integrated planning of a solar/storage collective. IEEE Trans Smart Grid, 2021, 12(1): 215-226

[8]

Cui S, Wang Y, Xiao J. Peer-to-peer energy sharing among smart energy buildings by distributed transaction. IEEE Trans Smart Grid, 2019, 10(6): 6491-6501

[9]

Cui S, Wang YW, Shi Y, Xiao JW. A new and fair peer-to-peer energy sharing framework for energy buildings. IEEE Trans Smart Grid, 2020, 11(5): 3817-3826

[10]

Dupačová J, Gröwe-Kuska N, Römisch W. Scenario reduction in stochastic programming: An approach using probability metrics. Math Program A, 2003, 95: 493-511

[11]

Eseye AT, Lehtonen M, Tukia T, Uimonen S, Millar RJ. Optimal energy trading for renewable energy integrated building microgrids containing electric vehicles and energy storage batteries. IEEE Access, 2019, 7: 106092-106101

[12]

Fleischhacker A, Auer H, Lettner G, Botterud A. Sharing solar PV and energy storage in apartment buildings: Resource allocation and pricing. IEEE Trans Smart Grid, 2019, 10(4): 3963-3973

[13]

Foumani M, Jenab K. Cycle time analysis in reentrant robotic cells with swap ability. Int J Prod Res, 2012, 50(22): 6372-6387

[14]

Gelesz A, Catto Lucchino E, Goia F, Serra V, Reith A (2020) Characteristics that matter in a climate façade: A sensitivity analysis with building energy simulation tools. Energy Build 229:110467

[15]

Geoffrion AM. Generalized benders decomposition. J Optim Theory Appl, 1972, 10(4): 237-260

[16]

Henriquez-Auba R, Pauli P, Kalathil D, Callaway DS, Poolla K (2018) The sharing economy for residential solar generation. In: 2018 Proc IEEE Conf Decis Control. (CDC), pp 7322–7329, https://doi.org/10.1109/CDC.2018.8619671

[17]

Horowitz K, Peterson Z, Coddington M, Ding F, Sigrin B, Saleem D, Baldwin SE, Lydic B, Stanfield SC, Enbar N, Coley S, Sundararajan A, Schroeder C (2019) An overview of distributed energy resource (der) interconnection: Current practices and emerging solutions, www. nrel.gov/docs/fy19osti/72102.pdf

[18]

Huang W, Zhang N, Yang J, Wang Y, Kang C. Optimal configuration planning of multi energy systems considering distributed renewable energy. IEEE Trans Smart Grid, 2019, 10(2): 1452-1464

[19]

IBM-ILOG (2017) V12. 8: User’s manual for CPLEX. https://www.ibm.com/support/knowledgecenter/SSSA5P_12.8.0

[20]

Joshi G, Yenneti K (2020) Community solar energy initiatives in india: A pathway for addressing energy poverty and sustainability? Energy Build 210:109736. https://doi.org/10.1016/j.enbuild.2019.109736

[21]

Kalathil D, Wu C, Poolla K, Varaiya P. The sharing economy for the electricity storage. IEEE Trans Smart Grid, 2019, 10(1): 556-567

[22]

Liu J, Chen X, Xiang Y, Huo D, Liu J (2021) Optimal planning and investment benefit analysis of shared energy storage for electricity retailers. Int J Electr Power Energy Syst 126:106561. https://doi.org/10.1016/j.ijepes.2020.106561

[23]

Liu N, Yu X, Wang C, Wang J. Energy sharing management for microgrids with PV prosumers: A stackelberg game approach. IEEE Trans Ind Informat, 2017, 13(3): 1088-1098

[24]

Liu N, Wang J, Yu X, Ma L. Hybrid energy sharing for smart building cluster with CHP system and PV prosumers: A coalitional game approach. IEEE Access, 2018, 6: 34098-34108

[25]

Opathella C, Elkasrawy A, Mohamed AA, Venkatesh B. MILP formulation for generation and storage asset sizing and sitting for reliability constrained system planning. Int J Electr Power Energy Syst, 2020

[26]

OpenEI, (2019) Open energy data initiative. National Renewable Energy Laboratory. https://openei.org/datasets/files/961/pub/EPLUS_TMY2_RESIDENTIAL_BASE/

[27]

Palchak D, Chernyakhovskiy I, Bowen T, Narwade V (2019) India 2030 wind and solar integration study: Interim report. www.nrel.gov/docs/fy19osti/72102.pdf

[28]

Wang H, Huang J. Cooperative planning of renewable generations for interconnected microgrids. IEEE Trans Smart Grid, 2016, 7(5): 2486-2496

[29]

Wang H, Huang J. Joint investment and operation of microgrid. IEEE Trans Smart Grid, 2017, 8(2): 833-845

[30]

Wu D, Zeng H, Lu C, Boulet B. Two-stage energy management for office buildings with workplace ev charging and renewable energy. IEEE Trans Transp Electrif, 2017, 3(1): 225-237

[31]

Zefreh M, Todd T, Karakostas G. Energy provisioning and operating costs in hybrid solar-powered infrastructure. IEEE Trans Sustain Energy, 2014, 5(3): 986-994

[32]

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: 41050-41059

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