Agrivoltaics can be used to supply energy and produce agricultural products in order to meet the growing demand for energy and food. The amount of power generation is affected by the solar panel direction, spacing, tilt, and panel technology; however, there is insufficient empirical data-based research on the operation of agrivoltaics. This study estimates the levelized cost of energy (LCOE) for a fence-based agrivoltaics system using bifacial modules. This study installed and operated photovoltaic (PV) systems on a rice paddy and saltern in South Korea to estimate the input variables that could affect their economic efficiency and LCOE. For the research methods, this study used Monte Carlo simulation (a stochastic analysis method that reflects the uncertainty of the input variables), a deterministic LCOE analysis, and a sensitivity analysis of the input variables. In terms of space utilization, the LCOE of the paddy system (139.07~141.19 KRW/kWh) was found to be relatively lower than that of the saltern system (145.43~146.18 KRW/kWh), implying that the PV system on the paddy was economically favorable. In terms of installation direction, it was more economical to operate the southwest-facing panels (139.07~145.43 KRW/kWh) than the southeast-facing panels (141.19~146.18 KRW/kWh). This study provides foundational policy data for the adoption of fence-based agrivoltaics and contributes to the widespread and active use of agrivoltaics.

Electricity production using renewable energy instead of fossil-fuel-based energy sources has been expanding worldwide. Recently, the South Korean government has set a transition from a government and power company-led energy system to a public-participatory energy system as a basic policy direction in terms of power production. It has been actively providing budgetary and institutional support. A comprehensive understanding of the consumer (public)-oriented preferences of potential business participants is crucial for implementing a successful community solar business. This study analyzes the preferences of potential participants in the community solar business from the perspective of policymakers to derive policy implications. We used the contingent valuation method of the stated preference approach targeting potential participants (public) to create a hypothetical market for community solar businesses and measured the value by inducing survey respondents to trade for goods or services. The monthly average willingness-to-pay was estimated to be 25,572 won (USD 21.90), and gender, photovoltaic business experience, and income were the main influencing factors. Based on the results of this study, the preferences of potential consumers in South Korea were analyzed to contribute to the effectiveness of the national energy policy.