{"id":{"repo_id":"royalroads","oai_identifier":"oai:null:10613/27463"},"canonical_url":"https://search.dev.ndltd.org/etd/royalroads/oai:null:10613/27463","repository":{"repo_id":"royalroads","name":"Royal Roads University","base_url":"https://www.viurrspace.ca/server/oai/request"},"display":{"title":"Building energy retrofit strategies in community housing in British Columbia","abstract":"This study aims to benchmark multi-residential community housing buildings in BC to ‎determine how energy performance varies between them and what factors may affect energy ‎usage. This study also examined the costs and benefits of different retrofit scenarios. To this ‎end, I used a mixed-method approach, including desktop research, quantitative methods, and ‎sampling of twenty-three buildings managed and operated by BC Housing and CoolAid ‎Society. The study started by developing a dataset of community housing buildings using data ‎collected from housing providers. It was then followed by calculating and assessing Energy ‎Performance Indicators using ENERGY STAR Portfolio Manager, utility bills, and building ‎characteristics data. Upon completing building benchmarking, buildings were ranked based on ‎their performance and factors affecting energy usage were analyzed using regression analysis. ‎Following this, the costs and benefits of different retrofit scenarios, including energy efficiency ‎measures and renewable energy technologies, were evaluated to find what scenario can deliver ‎the most benefits at lower costs. Results showed that the high-rise buildings in the dataset ‎performed worse than low-rise and mid-rise buildings in the dataset and also than other high-‎rise buildings in BC. The study also demonstrated that building energy performance is affected ‎by various factors, including mechanical systems (e.g., gas-fired boiler), building ‎characteristics (e.g., floor area), and the number of occupants. Lastly, the analysis revealed that ‎different retrofit scenarios differ in energy savings, greenhouse gas emission reductions, and ‎utility savings. Fuel switching in space and water heating demonstrates potential for delivering ‎significant savings in energy, greenhouse gases, and utility bills. ‎","abstract_html":"This study aims to benchmark multi-residential community housing buildings in BC to ‎determine how energy performance varies between them and what factors may affect energy ‎usage. This study also examined the costs and benefits of different retrofit scenarios. To this ‎end, I used a mixed-method approach, including desktop research, quantitative methods, and ‎sampling of twenty-three buildings managed and operated by BC Housing and CoolAid ‎Society. The study started by developing a dataset of community housing buildings using data ‎collected from housing providers. It was then followed by calculating and assessing Energy ‎Performance Indicators using ENERGY STAR Portfolio Manager, utility bills, and building ‎characteristics data. Upon completing building benchmarking, buildings were ranked based on ‎their performance and factors affecting energy usage were analyzed using regression analysis. ‎Following this, the costs and benefits of different retrofit scenarios, including energy efficiency ‎measures and renewable energy technologies, were evaluated to find what scenario can deliver ‎the most benefits at lower costs. Results showed that the high-rise buildings in the dataset ‎performed worse than low-rise and mid-rise buildings in the dataset and also than other high-‎rise buildings in BC. The study also demonstrated that building energy performance is affected ‎by various factors, including mechanical systems (e.g., gas-fired boiler), building ‎characteristics (e.g., floor area), and the number of occupants. Lastly, the analysis revealed that ‎different retrofit scenarios differ in energy savings, greenhouse gas emission reductions, and ‎utility savings. Fuel switching in space and water heating demonstrates potential for delivering ‎significant savings in energy, greenhouse gases, and utility bills. ‎","abstract_has_math":false,"creators":["Edalat Nia, Zahra"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Das, Runa"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-07-17","date_published":"2023-07-17","updated_at":"2026-08-21T22:21:56Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://dx.doi.org/10.25316/IR-19144"],"render_values":[{"text":"http://dx.doi.org/10.25316/IR-19144","href":"http://dx.doi.org/10.25316/IR-19144","code":true}]}]},"links":{"outbound_url":"https://viurrspace.ca/handle/10613/27463","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://www.viurrspace.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Anull%3A10613%2F27463","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Das, Runa"]},{"key":"dc:creator","label":"Author","values":["Edalat Nia, Zahra"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-07-17T22:04:09Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-07-17T22:04:09Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-07-17"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://viurrspace.ca/handle/10613/27463","http://dx.doi.org/10.25316/IR-19144"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study aims to benchmark multi-residential community housing buildings in BC to ‎determine how energy performance varies between them and what factors may affect energy ‎usage. This study also examined the costs and benefits of different retrofit scenarios. To this ‎end, I used a mixed-method approach, including desktop research, quantitative methods, and ‎sampling of twenty-three buildings managed and operated by BC Housing and CoolAid ‎Society. The study started by developing a dataset of community housing buildings using data ‎collected from housing providers. It was then followed by calculating and assessing Energy ‎Performance Indicators using ENERGY STAR Portfolio Manager, utility bills, and building ‎characteristics data. Upon completing building benchmarking, buildings were ranked based on ‎their performance and factors affecting energy usage were analyzed using regression analysis. ‎Following this, the costs and benefits of different retrofit scenarios, including energy efficiency ‎measures and renewable energy technologies, were evaluated to find what scenario can deliver ‎the most benefits at lower costs. Results showed that the high-rise buildings in the dataset ‎performed worse than low-rise and mid-rise buildings in the dataset and also than other high-‎rise buildings in BC. The study also demonstrated that building energy performance is affected ‎by various factors, including mechanical systems (e.g., gas-fired boiler), building ‎characteristics (e.g., floor area), and the number of occupants. Lastly, the analysis revealed that ‎different retrofit scenarios differ in energy savings, greenhouse gas emission reductions, and ‎utility savings. Fuel switching in space and water heating demonstrates potential for delivering ‎significant savings in energy, greenhouse gases, and utility bills. ‎"]},{"key":"dc:title","label":"Title","values":["Building energy retrofit strategies in community housing in British Columbia"]}]}],"canonical_facts":{"dc:contributor.advisor":["Das, Runa"],"dc:creator":["Edalat Nia, Zahra"],"dc:date.accessioned":["2023-07-17T22:04:09Z"],"dc:date.available":["2023-07-17T22:04:09Z"],"dc:date.issued":["2023-07-17"],"dc:description.abstract":["This study aims to benchmark multi-residential community housing buildings in BC to ‎determine how energy performance varies between them and what factors may affect energy ‎usage. This study also examined the costs and benefits of different retrofit scenarios. To this ‎end, I used a mixed-method approach, including desktop research, quantitative methods, and ‎sampling of twenty-three buildings managed and operated by BC Housing and CoolAid ‎Society. The study started by developing a dataset of community housing buildings using data ‎collected from housing providers. It was then followed by calculating and assessing Energy ‎Performance Indicators using ENERGY STAR Portfolio Manager, utility bills, and building ‎characteristics data. Upon completing building benchmarking, buildings were ranked based on ‎their performance and factors affecting energy usage were analyzed using regression analysis. ‎Following this, the costs and benefits of different retrofit scenarios, including energy efficiency ‎measures and renewable energy technologies, were evaluated to find what scenario can deliver ‎the most benefits at lower costs. Results showed that the high-rise buildings in the dataset ‎performed worse than low-rise and mid-rise buildings in the dataset and also than other high-‎rise buildings in BC. The study also demonstrated that building energy performance is affected ‎by various factors, including mechanical systems (e.g., gas-fired boiler), building ‎characteristics (e.g., floor area), and the number of occupants. Lastly, the analysis revealed that ‎different retrofit scenarios differ in energy savings, greenhouse gas emission reductions, and ‎utility savings. Fuel switching in space and water heating demonstrates potential for delivering ‎significant savings in energy, greenhouse gases, and utility bills. ‎"],"dc:identifier.uri":["https://viurrspace.ca/handle/10613/27463","http://dx.doi.org/10.25316/IR-19144"],"dc:title":["Building energy retrofit strategies in community housing in British Columbia"]},"updated_at":"2026-08-21T22:21:56Z"}