Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims

Annamaria Buonomano

Applied Energy, 2020, vol. 261, issue C, No S0306261919317647

Abstract: This paper focuses on the energy and economic analysis of the Building To Vehicle To Building (V2B2) concept, conducted through a comprehensive parametric and sensitivity analysis. The idea behind this novel vehicle to building energy management is to exploit the use of electric vehicles as energy vectors to exchange electricity among buildings with the aim to accelerate the development of a novel zero energy paradigm, while promoting the deployment of renewable energy sources, accelerating the widespread usage of electric vehicles, and streamlining the regulation of charging stations in our future communities. In order to evaluate the potentials of the proposed schemes, a comprehensive parametric analysis is conducted to size the design and operating parameters which maximize the self-production and self-consumption of building integrated renewable energy technologies at a cluster level. The paper investigates the energy and economic performance of different V2B2 energy management schemes including a residential building, an office building, and an electric vehicle, which feature a basic cluster of human-linked energy consumers. The study is conducted by means of a novel in-house developed dynamic simulation tool, suitably enhanced to model the system operation. Numerical results, obtained for a representative weather zone (Mediterranean climate of Naples, South-Italy), show that through the V2B2 scheme, a remarkable exploitation of off-site renewable energy production is achieved, producing a significant reduction of fossil fuel consumption from the grid.

Keywords: Net zero energy building; Solar energy; Building to Vehicle to Building V2B2; Vehicle to Building V2H; Parametric and sensitivity analysis; Dynamic simulation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (20)

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DOI: 10.1016/j.apenergy.2019.114077

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