Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.785341
Title: Electric vehicle energy integration scenarios : a feasibility analysis environment
Author: Gough, Rebecca Claire
ISNI:       0000 0004 7970 8772
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
The UK Government has set a goal that by 2040, every new car will be an ultra-low emission vehicle. This makes the exploitation of excess storage in electric vehicles to provide electricity support potentially beneficial. The technology required to utilise this opportunity is called 'vehicle-to-grid', primarily a vehicle connection post with a built-in bi-directional inverter, providing both vehicle charging and discharging functionality. Through utilisation of this equipment, local energy systems, such as building clusters, can utilise the excess energy stored within the vehicles parked on site. The aim of this research was to create a platform from which to evaluate the investment opportunity of vehicle-to-grid in a local services case study for future energy scenarios. As such, a feasibility analysis environment was developed that evaluates the economic benefit to both vehicle and building owners in installing vehicle-to-grid. The software has the capability to assess any case study with a collection of buildings, vehicles, photovoltaics or market demand. Energy scenarios have been developed within the software to run case studies for economic evaluation, with the scenarios ranging from building peak shaving, tariff demand reduction, photovoltaic demand shifting and energy market provision. By altering the number of vehicles being assessed, the software can also calculate infrastructure provision requirements and related costs.
Supervisor: Not available Sponsor: Cenex ; EPSRC
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.785341  DOI: Not available
Keywords: Mechanical Engineering not elsewhere classified ; Vehicle-to-Grid ; Electric vehicles ; Energy scenarios ; Analysis environment ; Battery storage ; Systems engineering
Share: