An optimal scheduling model of an energy storage system with a photovoltaic system in residential buildings considering the economic and environmental aspects

Seunghoon Jung, Hyuna Kang, Minhyun Lee, Taehoon Hong

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In terms of sustainable development, the Energy Storage System (ESS) with a photovoltaic (PV) is an efficient technology for residential distributed generation to raise its economic and environmental benefits, which are differentiated by charge and discharge scheduling of ESS. Accordingly, it is essential to optimize the scheduling of ESS with PV to maximize economic and environmental benefits for residential buildings. Therefore, this study developed an optimal scheduling model of ESS with PV in residential buildings considering the economic and environmental aspects. The optimal scheduling model was developed in the following two steps: (i) definition of the variables; and (ii) development of the optimal scheduling model of ESS with PV. Despite the rule-based scheduling could only raise lifecycle environmental benefit by sacrificing economic benefit, the optimal scheduling could raise both lifecycle economic and environmental benefits increasing the net income and self-sufficiency rate by up to US$2.8 per month and 2.7%, compared to the case of applying the PV system without ESS. This study has significant contributions in facilitating the wide use of ESS with PV by not only improving its economic and environmental benefits for the ESS owner but also reducing the cost for constructing additional power plants for the government.

Original languageEnglish
Article number109701
JournalEnergy and Buildings
Volume209
DOIs
Publication statusPublished - 2020 Feb 15

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( MSIT ; Ministry of Science and ICT ) ( NRF-2018R1A2A1A19020868 ).

Publisher Copyright:
© 2019

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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