Combined vehicle to building (V2B) and vehicle to home (V2H) strategy to increase electric vehicle market share. (15th December 2021)

• Record Type: Journal Article
• Authors: Borge-Diez, David; Icaza, Daniel; Açıkkalp, Emin; Amaris, Hortensia
• Is Part Of: Energy. Volume 237(2021)
• Publication Date: 2021-12-15
• Subjects: Vehicle to building -- Vehicle to grid -- V2G -- V2B -- Energy efficiency -- Peak demand -- Electric vehicle; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2021.121608
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Buildings are one of the most important energy consumers in modern economy countries. The massive use of electrical vehicles could help decarbonizing the economy by using electricity produced using renewable energy. Combined use of Vehicle to Grid (V2G), Vehicle to Home (V2H) and Vehicle to Building (V2B) is one of the strategies to increase the number of electrical vehicles, ensure a better coupling between energy generation and consumption, reducing peak demand and increasing global energy efficiency. This research presents a novel approach of combined use of V2H and V2B that can be applied in different scenarios such as when the building workers own EVs, company shared car fleets or leasing, among others. Recharged energy at workers homes during night hours is delivered in the building during daily working hours lowering peak demand, reducing carbon intensity and energy cost savings. The results show that the methodology is feasible and can be extended to other cases and greatly contribute to better energy efficiency, reduces peak demand in buildings and increase electric vehicles penetration in transport to workplaces. Graphical abstract: Image 1 Highlights: Novel research proposes combined V2H and V2B to reduce buildings peak demand. Workers use a car float to charge them at home and provide energy to the building. Reduces building demand up to 50%: the scheme is profitable and reduces emissions. Whole life cycle costs and battery degradation model and costs are considered. The proposed methodology can be extensively used in different scenarios.