Design and Implementation of a Futuristic EV Energy Trading System (FEETS) Connected with Buildings, PV, and ESS for a Carbon-Neutral Society

• Published in: Buildings (Basel) Vol. 13; no. 3; p. 829
• Main Authors: Park, Sangmin, Park, SeolAh, Yun, Sang-Pil, Lee, Kyungeun, Kang, Byeongkwan, Choi, Myeong-in, Jang, Hyeonwoo, Park, Sehyun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Alliances; Alternative energy sources; Architecture and energy conservation; Automobiles, Electric; Battery chargers; Buildings; Carbon; Carbon neutrality; Construction industry; Electric vehicle charging; Electric vehicles; Electricity; Electricity pricing; Emissions; Energy consumption; Energy industry; Energy management; Energy resources; Energy storage; Energy trading; Greenhouse gases; ICT carbon-neutral city modeling; ICT carbon-neutral platform; Innovations; Internet of Things; new energy industry; Nuclear energy; Power management; Power supply; Renewable resources; Securities trading; smart energy city; Solar energy; Stabilization; Supply & demand; urban energy analysis; zero-carbon city; South Korea
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings13030829

To realize carbon neutrality, understanding the energy consumed in the building sector, which is more than that in other sectors, such as industry, agriculture, and commerce, is pivotal. Approximately 37% of energy consumption belongs to the building sector, and management of building energy is a critical factor. In this paper, we present an energy sharing scenario for energy stabilization, assuming that electric vehicles and their charging stations are widely distributed in the future. Consequently, fewer fuel cars will exist, and electric cars will become the major mode of transportation. Therefore, it is essential to install charging stations for electric vehicles in the parking lots of future buildings, and business models are expected to expand. In this paper, we introduce a future energy stabilization mechanism for peak power management in buildings and present a platform that entails connection-based energy trading technology based on a scenario. We also propose an energy supply strategy to prevent excess prices incurred due to peak consumption. Then, we analyzed the electricity bill for one month through scenario-based simulations of an existing building and the proposed system. When applying the proposed system, we derived a result that can reduce electricity rates by 38.3% (best case) to 78.5% (worst case) compared with the existing rates.