A Decision Support Software Application for the Design of Agrophotovoltaic Systems in Republic of Korea
-
Published:2023-05-30
Issue:11
Volume:15
Page:8830
-
ISSN:2071-1050
-
Container-title:Sustainability
-
language:en
-
Short-container-title:Sustainability
Author:
Kim Youngjin1ORCID, On Yeongjae1, So Junyong1ORCID, Kim Sumin2ORCID, Kim Sojung1ORCID
Affiliation:
1. Department of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul 04620, Republic of Korea 2. Department of Environmental Horticulture & Landscape Architecture, College of Life Science & Biotechnology, Dankook University, Cheonan-si 31116, Republic of Korea
Abstract
Agrophotovoltaic (APV) systems produce both solar energy and crops, so they are considered a sustainable alternative to traditional solar power plants, which can potentially destroy farmlands. However, it is challenging to diffuse APV systems because of their high installation and operating costs. Thus, to resolve the issue by maximizing the productivity and profits of an APV system, this study aims to propose a mobile-phone-based decision support system (DSS) for a supply chain network design for APV systems in South Korea using satellite imagery incorporating geographic information system (GIS) data. Particularly, polynomial regression models estimating annual corn (Zea mays) yields and the predicted generation of electricity were developed and integrated with the proposed DSS. Field experiment data provided by the APV system at Jeollanamdo Agricultural Research and Extension Services in South Korea were utilized. Two photovoltaic (PV) module types (mono-facial and bi-facial) and three different shading ratios for APV systems (21.3%, 25.6%, and 32.0%) were considered design factors for APV systems. An optimal network structure of 6 candidate APV systems and 15 agricultural markets was devised using the generalized reduced gradient (GRG) method. The profits of the six candidate APV systems are mainly affected by the transportation costs to the markets and the policy of the electricity selling prices. As a result, the proposed supply chain design framework successfully identifies an APV system network with maximum profits from crop production as well as electricity generation.
Funder
National Research Foundation of Korea Korean government
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference39 articles.
1. Kim, S., Kim, S., and Yoon, C.Y. (2021). An efficient structure of an agrophotovoltaic system in a temperate climate region. Agronomy, 11. 2. Kim, S., Kim, Y., On, Y., So, J., Yoon, C.Y., and Kim, S. (2022). Hybrid performance modeling of an agrophotovoltaic system in South Korea. Energies, 15. 3. United Nations Climate Change Conference UK 2021 (2023, February 26). The Glasgow Climate Pact. Available online: https://ukcop26.org/the-glasgow-climate-pact/. 4. Ministry of Trade, Industry and Energy (2023, March 02). The 3020 Renewable Energy Policy, Available online: https://www.etrans.or.kr/policy/04.php. 5. Kim, T.H., Chun, K.S., and Yang, S.R. (2021). Analyzing the Impact of Agrophotovoltaic Power Plants on the Amenity Value of Agricultural Landscape: The Case of the Republic of Korea. Sustainability, 13.
|
|