| Title |
A Study of Optimal Power Portfolio to Promote Smart Farms’ Self-consumption of Renewable Energy |
| Authors |
이상원(Sangwon Lee) ; 조영상(Youngsang Cho) |
| DOI |
https://doi.org/10.5370/KIEE.2022.71.1.001 |
| Keywords |
Smart farm; Linear programming; Self-consumption of renewable energy |
| Abstract |
The purpose of this study is to analyze the ways to expand the supply of renewable energy to large-scale facility farms and to derive policies to promote self-consumption of renewable energy for efficient use and operation of energy nationwide. This is ultimately intended to reduce power consumption for agriculture supplied from fossil fuel power plants. We assume three main technologies such as photovoltaic power generation, energy storage system(ESS), and air heat pump for smart-farm models, and the objective function and conditions for maximizing cost-benefit are analyzed through linear programming. Assuming several scenarios reflecting various conditions of REC price, CO2 emission price, and agricultural electricity rate, which are the benefit factors of operators who installs renewable energy, we present some conditions for promoting self-consumption of renewable energy and emission price levels through simulation. The results of this study can contribute to increase the benefits of smart farm models with renewable energy installed and the efficiency of nationwide power system management. |