@inproceedings{2fd5afcf19f841928f323f912102911d,
title = "Distributed ESS Capacity Decision for Home Appliances in Smart Home",
abstract = "This paper suggests the energy storage system (ESS) attached to home appliances by developing a framework for capacity decisions with the dynamic electricity price. It can circumvent the large initial investment cost and precarious profit calculation problem of ESS by splitting the size of a battery. To address such issues, this paper develops the optimal battery capacity decision model based on the battery ESS cost, power consumption profile, and dynamic electricity price profile. Given the consumption and price profile, the proposed model aims to give the solution to not only the optimal battery capacity decision but also the estimation of the return profit for each home appliance. The proposed method is applied to three major home appliances: refrigerator, washing machine, and TV. The net benefit and payback period are calculated for a household by considering the initial investment cost and yearly benefits for using the energy storage system. The benefits from the distributed ESS and the central ESS are also compared.",
keywords = "Battery, Capacity, Distributed, Economics, Energy storage system",
author = "Baik, {Yeon Ju} and Kang, {Ye Gu}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/ECCE44975.2020.9235698",
language = "English",
series = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "553--560",
booktitle = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
address = "United States",
}