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University of Ontario Institute of Technology

Energy planning with hydrogen deployment strategies within interconnected infrastructures using enhanced SWITCH model

Abstract

dc:description.abstract

The water dimension is not adequately considered in energy models when planning for hydrogen technologies. To overcome this, three novel modules have been developed for the SWITCH energy model: one that considers water drinking systems, a second module that optimizes the size/location/type of hydrogen plants, and the buildings module to integrate buildings using hydrogen-based combined heat and power systems. The modules contribute to the research community by linking the water, hydrogen and power sectors in an energy model. The modules were tested in a case study for Durham Region, using data from 2022. The main results show that the zone of Oshawa is optimal for building a hydrogen electrolysis plant, but facing drastic changes in its power and water demands. Results also show hydrogen-based combined heat and power systems would not be economically feasible unless the price of hydrogen per kilogram is less than CAD$2.13, considering the 2022 parameters.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Villalobos Herra, Elena
Advisor dc:contributor.advisor
  • Gaber, Hossam

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1836
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1836

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Villalobos Herra, Elena. Energy planning with hydrogen deployment strategies within interconnected infrastructures using enhanced SWITCH model. University of Ontario Institute of Technology, 2024. https://hdl.handle.net/10155/1836