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Article: A multi-year two-stage stochastic programming model for optimal design and operation of residential photovoltaic-battery systems

TitleA multi-year two-stage stochastic programming model for optimal design and operation of residential photovoltaic-battery systems
Authors
KeywordsPV-battery
Sizing-operating
Multi-year
Stochastic programming
Uncertainty
Battery aging
Issue Date2021
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/enbuild
Citation
Energy and Buildings, 2021, v. 239, article no. 110835 How to Cite?
AbstractThe residential PV-battery system is becoming economically viable due to technological advances. Selecting optimum investment portfolios and operation strategies are still the challenges faced by homeowners. This study proposed an integrated stochastic sizing-operating framework for optimal design and operation of grid-connected residential photovoltaic (PV)-battery systems. The two-stage stochastic programming method is adopted to address the uncertainties from load and PV productions, where 1) the first stage optimizes the investment portfolio of PV and battery, and 2) the second stage optimizes the energy system operation cost. A multi-year financial model is used to calculate the cash flows during the analysis period. The discounted net present values of expected net benefit (NB) are used as the maximization objective function to make optimal decisions for PV-battery investment and operation. Annual battery degradation factors estimate the aging battery effect. To separately evaluate the PV/battery profitability, we are the first to define the added value/cost metrics of PV/battery. Simulations based on realistic load/PV output profiles and estimated technical–economic parameters validated the effectiveness of the proposed framework and the added value/cost metrics of PV/battery components. The impacts of critical factors, including feed-in tariffs (FiT), tariff profiles and levels, and unit costs, were investigated to provide key findings to stakeholders. This framework can guide the homeowners to cost-effectively invest in and operate the distributed residential PV-battery system to facilitate the transition to a reliable, affordable, and clean building energy system.
Persistent Identifierhttp://hdl.handle.net/10722/300645
ISSN
2020 Impact Factor: 5.879
2020 SCImago Journal Rankings: 1.737
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZheng, Z-
dc.contributor.authorLi, X-
dc.contributor.authorPan, J-
dc.contributor.authorLuo, X-
dc.date.accessioned2021-06-18T14:54:57Z-
dc.date.available2021-06-18T14:54:57Z-
dc.date.issued2021-
dc.identifier.citationEnergy and Buildings, 2021, v. 239, article no. 110835-
dc.identifier.issn0378-7788-
dc.identifier.urihttp://hdl.handle.net/10722/300645-
dc.description.abstractThe residential PV-battery system is becoming economically viable due to technological advances. Selecting optimum investment portfolios and operation strategies are still the challenges faced by homeowners. This study proposed an integrated stochastic sizing-operating framework for optimal design and operation of grid-connected residential photovoltaic (PV)-battery systems. The two-stage stochastic programming method is adopted to address the uncertainties from load and PV productions, where 1) the first stage optimizes the investment portfolio of PV and battery, and 2) the second stage optimizes the energy system operation cost. A multi-year financial model is used to calculate the cash flows during the analysis period. The discounted net present values of expected net benefit (NB) are used as the maximization objective function to make optimal decisions for PV-battery investment and operation. Annual battery degradation factors estimate the aging battery effect. To separately evaluate the PV/battery profitability, we are the first to define the added value/cost metrics of PV/battery. Simulations based on realistic load/PV output profiles and estimated technical–economic parameters validated the effectiveness of the proposed framework and the added value/cost metrics of PV/battery components. The impacts of critical factors, including feed-in tariffs (FiT), tariff profiles and levels, and unit costs, were investigated to provide key findings to stakeholders. This framework can guide the homeowners to cost-effectively invest in and operate the distributed residential PV-battery system to facilitate the transition to a reliable, affordable, and clean building energy system.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/enbuild-
dc.relation.ispartofEnergy and Buildings-
dc.subjectPV-battery-
dc.subjectSizing-operating-
dc.subjectMulti-year-
dc.subjectStochastic programming-
dc.subjectUncertainty-
dc.subjectBattery aging-
dc.titleA multi-year two-stage stochastic programming model for optimal design and operation of residential photovoltaic-battery systems-
dc.typeArticle-
dc.identifier.emailPan, J: jpan@cs.hku.hk-
dc.identifier.authorityPan, J=rp01984-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.enbuild.2021.110835-
dc.identifier.scopuseid_2-s2.0-85102886450-
dc.identifier.hkuros323037-
dc.identifier.volume239-
dc.identifier.spagearticle no. 110835-
dc.identifier.epagearticle no. 110835-
dc.identifier.isiWOS:000643676300002-
dc.publisher.placeNetherlands-

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