Optimizing Parking Lot Management with Mobile Energy Suppliers for Electric Vehicles

As the increment of electric vehicles (EVs) continues, efficient parking lot management emerges as a critical concern. The constraints of traditional fixed charging stations can be mitigated by leveraging the flexibility provided by mobile energy suppliers (MES). This study explores the application of MES in public parking lots to optimize energy consumption. By integrating photovoltaic (PV) resources with grid connectivity, the dependence on grid-supplied energy is significantly reduced. A mixed-integer linear programming (MILP) optimization model has been developed to minimize energy costs. The results confirm that MES offers a dynamic and cost-effective solution, improving both parking management and energy efficiency. The economic and operational effectiveness of the proposed framework is supported by practical implementation.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/gec61857.2024.10881398
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Parking Lot Management with Mobile Energy Suppliers for Electric Vehicles

Ozan Erdinç, Ali Rıfat Boynueğri, Hayri Yigit, Ayşe Kübra Erenoğlu et al.
1 citations
Electric Vehicles and Infrastructure
0.21
article

Optimizing Parking Lot Management with Mobile Energy Suppliers for Electric Vehicles

Ozan Erdinç, Ali Rıfat Boynueğri, Hayri Yigit, Ayşe Kübra Erenoğlu, Ali Furkan Tetik
article en
1 citations

Abstract

As the increment of electric vehicles (EVs) continues, efficient parking lot management emerges as a critical concern. The constraints of traditional fixed charging stations can be mitigated by leveraging the flexibility provided by mobile energy suppliers (MES). This study explores the application of MES in public parking lots to optimize energy consumption. By integrating photovoltaic (PV) resources with grid connectivity, the dependence on grid-supplied energy is significantly reduced. A mixed-integer linear programming (MILP) optimization model has been developed to minimize energy costs. The results confirm that MES offers a dynamic and cost-effective solution, improving both parking management and energy efficiency. The economic and operational effectiveness of the proposed framework is supported by practical implementation.

Energy Technologies Institute (GB), Yıldız Technical University (TR)
Affordable and clean energy
Openalex Percentile: Top 43%
Electric Vehicles and Infrastructure
0.21
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.