Multi-objective optimization for equipment capacity in off-grid smart house

8Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

Recently, the off-grid smart house has been attracting attention in Japan for considering global warming. Moreover, the selling price of surplus power from the renewable energy system by Feed-In Tariff (FIT) has declined. Therefore, this paper proposes an off-grid smart house with the introduced Photovoltaic (PV) system, Solar Collector (SC) system, HotWater Heat Pump (HWHP), fixed battery and Electric Vehicle (EV). In this research, a multi-objective optimization problem is considered to minimize the introduced capacity and shortage of the power supply in the smart house. It can perform the electric power procurement from the EV charging station for the compensation of a shortage of power supply. From the simulation results, it is shown that the shortage of the power supply can be reduced by the compensation of the EV power. Furthermore, considering the uncertainty for PV output power, reliable simulation results can be obtained.

Cite

CITATION STYLE

APA

Miyazato, Y., Tobaru, S., Uchida, K., Muarapaz, C. C., Howlader, A. M., & Senjyu, T. (2017). Multi-objective optimization for equipment capacity in off-grid smart house. Sustainability (Switzerland), 9(1). https://doi.org/10.3390/su9010117

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free