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Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy

Seyed Sajad Rezaei Nasab (Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Abbasali Tayefi Nasrabadi (Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
Somayeh Asadi (Department of Architectural Engineering, Pennsylvania State University, University Park, Pennsylvania, USA)
Seiyed Ali Haj Seiyed Taghia (Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 23 September 2021

Issue publication date: 7 December 2022

188

Abstract

Purpose

Due to technological improvement and development of the vehicle-to-home (V2H) concept, electric vehicle (EV) can be considered as an active component of net-zero energy buildings (NZEBs). However, to achieve more dependable results, proper energy analysis is needed to take into consideration the stochastic behavior of renewable energy, energy consumption in the building and vehicle use pattern. This study aims to stochastically model a building integrating photovoltaic panels as a microgeneration technology and EVs to meet NZEB requirements.

Design/methodology/approach

First, a multiobjective nondominated sorting genetic algorithm (NSGA-II) was developed to optimize the building energy performance considering panels installed on the façade. Next, a dynamic solution is implemented in MATLAB to stochastically model electricity generation using solar panels as well as building and EV energy consumption. Besides, the Monte Carlo simulation method is used for quantifying the uncertainty of NZEB performance. To investigate the impact of weather on both energy consumption and generation, the model is tested in five different climatic zones in Iran.

Findings

The results show that the stochastic simulation provides building designers with a variety of convenient options to select the best design based on level of confidence and desired budget. Furthermore, economic evaluation signifies that investing in all studied cities is profitable.

Originality/value

Considering the uncertainty in building energy demand and PV power generation as well as EV mobility and the charging–discharging power profile for evaluating building energy performance is the main contribution of this study.

Keywords

Acknowledgements

The authors acknowledge with grateful appreciation the kind assistance of principal of Qazvin Azad University and the faculty member of department of civil engineering for their kind cooperation and encouragement.

Funding This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Declarations The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability The data used to support the findings of this study are currently under embargo while the research findings are commercialized. Requests for data, 3 months after publication of this article, will be considered by the corresponding author.

Citation

Rezaei Nasab, S.S., Tayefi Nasrabadi, A., Asadi, S. and Haj Seiyed Taghia, S.A. (2022), "Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy", Engineering, Construction and Architectural Management, Vol. 29 No. 10, pp. 4061-4087. https://doi.org/10.1108/ECAM-05-2021-0448

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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