Nepal Engineering College | Thesis Abstract

All Thesis Abstracts

Sustainability Assessment of Labdhu Dhikure Irrigation Project, Likhu Rural Municipality, Khanigaun, Nuwakot.

Yuba Raj Mishra

Dr. Dinesh Sukamani

Assessment of Knowledge and Technology Transfer in Building Construction Projects Executed by 'A' class Contractors in Kathmandu Valley, Nepal.

Arati Devkota

Asst. Prof. Sabir Baidya

Assessment of Post-Fire Safety Compliance and Emergency Preparedness in Post-Fire Restored Government Buildings.

Roshna Guragain

Assist. Prof. Dr. Dinesh Sukamani

Comparative Assessment of Design-Bid-Build and Design-Build Procurement Methods on Bridge Project Performance of the Department of Roads in Nepal.

Raju Prasad Poudel

Asst. Prof. Dinesh Sukamani

Development of Prioritization Framework for Post-Fire Rehabilitation Intervention Decision in Fire Damaged Buildings: Reference from Federal Minister Quarter Buildings at Bhaisepati, Lalitpur.

Ajaya Bista

Dr. Dinesh Sukamani

Rainwater Harvesting Systems as a Sustainable Solution for Urban Water Scarcity: Case Study of Suryabinayak Municipality.

Pratikshya Ghimire

Mr. Jagam Shrestha

Multi Criteria Decision Analysis for Siting and Sizing of Fast Charging Stations along the Prithvi Highway to Ensure Acceptable User Waiting Time.

Student: Prajwal Chirague Niroula

Supervisor: Er. Bishnu Prasad Devkota

Submitted Date: October, 2026

Abstract

The expansion of Electric Vehicle (EV) infrastructure in Nepal is currently characterized by an unplanned, market-driven approach, leading to "charging deserts" and significant range anxiety during intercity travel. This study evaluates the optimal siting and sizing of fast- charging stations along a 5km buffer of the Prithvi Highway (Kathmandu–Pokhara corridor) to ensure network reliability and acceptable service levels. A mixed-method approach is adopted, utilizing a behavioral survey of 391 EV users and a Fuzzy Analytic Hierarchy Process (FAHP) involving 20 multidisciplinary experts. QGIS is employed for spatial suitability mapping and service gap analysis, while queuing theory (M/M/s/N model) is utilized in MS Excel to determine infrastructure sizing. The study revealed that proximity to grid infrastructure (29.66%) and traffic volume (25.17%) are the most critical factors for station siting, while Proximity to POIs (18.17%),Land Slide Suitability (11.81%) Distance from Existing Stations (8.58%) and Landslide Susceptibility (6.61%) are influencing factor for station sititng , with the expert model achieving a mathematically sound Consistency Ratio (CR) of 0.096. Behavioral analysis identified a 20-minute maximum wait tolerance and a critical anxiety mileage limit of 58.06 km, suggesting a recommended maximum station spacing of 29 km. Spatial analysis identified Dhunbesi, Galchhi, and Abu Khaireni as primary "charging deserts" that fail to meet current service intervals. To maintain the 20-minute wait threshold, it is determined that high-demand segments require a minimum of 4 charging points (60kW) by 2035 A.D. It is concluded that the current unplanned infrastructure is insufficient to meet future demand, particularly in high-risk landslide zones which were masked out for network resilience. It is recommended that authorities prioritize the identified service gaps and co-locate stations with existing amenities to maximize user utility. Implementing this integrated siting and sizing framework will ensure that user wait times remain within acceptable limits.

Keywords

Fast Charging Stations, GIS-based MCDA, Queuing Theory, Fuzzy AHP (FAHP), Range Anxiety, User Waiting time, Service Gap Analysis

THESIS ABSTRACT