Date of Award

2024-08-01

Degree Name

Master of Science

Department

Industrial Engineering

Advisor(s)

Tzu-Liang B. Tseng

Second Advisor

Honglun Xu

Abstract

The rapid adoption of electric vehicles (EVs) necessitates innovative solutions to overcome challenges in energy management, sustainability, and grid reliance. This research develops a hybrid simulation model for EV charging stations, integrating renewable energy sources, such as solar photovoltaic (PV) systems, with energy storage systems (ESS). Leveraging discrete-event simulation (DES) and agent-based modeling (ABM) in AnyLogic, the model offers a comprehensive analysis of charging station operations, incorporating stochastic EV arrivals, dynamic energy allocation, and user-defined customization.Key contributions include the development of hybrid simulation model integrating solar PV, energy storage, and energy management systems (EMS) that dynamically optimizes energy distribution from PV, ESS, and grid power, reducing operational costs and enhancing sustainability. The simulation model also incorporates interactive dashboards, enabling stakeholders to test scenarios and analyze performance metrics, fostering decision-making and stakeholder engagement. Optimization experiments utilizing genetic algorithms were conducted to evaluate charging station utilization, renewable energy efficiency, and system scalability. Results highlight critical trade-offs between infrastructure configurations and performance metrics, providing actionable insights for enhancing EV charging infrastructure. This thesis contributes to the scientific advancement of sustainable transportation, aligning with the mission of the ASPIRE Engineering Research Center. The findings lay the groundwork for future research in renewable-integrated EV charging systems, emphasizing the potential for scalable and adaptive infrastructure solutions.

Language

en

Provenance

Recieved from ProQuest

File Size

76 p.

File Format

application/pdf

Rights Holder

Tenzin Lhaden

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