Sustainable Strategies for Energy Management in Buildings and Electric Vehicle Charging

This study investigates the integration of electric vehicle (EV) charging stations into buildings as a sustainable strategy to reduce greenhouse gas emissions and promote clean energy adoption. While this initiative offers significant environmental advantages, it also introduces challenges such as high installation costs, the need for electrical infrastructure upgrades, and potential power quality concerns. To address these issues, the research utilizes Pareto frontier analysis and multi-objective optimization (MOO) techniques to identify optimal trade-offs among key objectives, including cost, energy efficiency, and system reliability. Three strategies (A, B, and C) are assessed, with Strategy C emerging as the most balanced and cost-effective option. The findings underscore the importance of prioritizing both economic viability and operational efficiency in decision-making processes. Overall, integrating EV charging stations into buildings demonstrates considerable potential as a step toward sustainability. However, a thorough evaluation of all influencing factors is critical to ensuring long-term success and alignment with global environmental goals.

Authors

Institutions

Publication Details

Journal
Journal of Modern Technology
Published
2025-04-20
DOI
https://doi.org/10.71426/jmt.v2.i1.pp220-234
Citations
7
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
5.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable Strategies for Energy Management in Buildings and Electric Vehicle Charging

Mohammad Parhamfar, Seyed Hossein Taheri, Parsa Tayebati
7 citations
Journal of Modern Technology
Electric Vehicles and Infrastructure
5.11
article

Sustainable Strategies for Energy Management in Buildings and Electric Vehicle Charging

Mohammad Parhamfar, Seyed Hossein Taheri, Parsa Tayebati
article en
7 citations

Abstract

This study investigates the integration of electric vehicle (EV) charging stations into buildings as a sustainable strategy to reduce greenhouse gas emissions and promote clean energy adoption. While this initiative offers significant environmental advantages, it also introduces challenges such as high installation costs, the need for electrical infrastructure upgrades, and potential power quality concerns. To address these issues, the research utilizes Pareto frontier analysis and multi-objective optimization (MOO) techniques to identify optimal trade-offs among key objectives, including cost, energy efficiency, and system reliability. Three strategies (A, B, and C) are assessed, with Strategy C emerging as the most balanced and cost-effective option. The findings underscore the importance of prioritizing both economic viability and operational efficiency in decision-making processes. Overall, integrating EV charging stations into buildings demonstrates considerable potential as a step toward sustainability. However, a thorough evaluation of all influencing factors is critical to ensuring long-term success and alignment with global environmental goals.

Journal of Modern TechnologyVol. 2(1)
Islamic Azad University, Science and Research Branch (IR), Sheikh Bahaei University (IR), Opinion Leader Research (GB)
Openalex Percentile: Top 4%
Electric Vehicles and Infrastructure
5.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sustainable Strategies for Energy Management in Buildings and Electric Vehicle Charging — Mohammad Parhamfar, Seyed Hossein Taheri, et al. · Journal of Modern Technology (2025) | TGRS Research Map | TGRS