Towards Net Positive and Nearly Zero Carbon Residential Neighborhoods

dc.contributor.advisorHachem Vermette, Caroline
dc.contributor.authorJassal, Ajit Pal Singh
dc.contributor.committeememberLee, Bruno
dc.contributor.committeememberWylant, Barry
dc.date2021-11
dc.date.accessioned2021-07-12T20:44:05Z
dc.date.available2021-07-12T20:44:05Z
dc.date.issued2021-07-05
dc.description.abstractNatural Resources Canada (NRCan) estimated that residential buildings consume 16.6% of the total energy and are responsible for producing 12.7% of greenhouse gas emissions. The presented research aims to enhance the high-performance solar neighborhood’s design process to achieve overall net-zero energy status, reduce the energy, and carbon footprint. The solar neighborhoods are designed by maximizing energy production from BIPV systems and minimizing building energy consumption. The building energy consumption is optimized by implementing the latest energy efficiency measures such as highly energy-efficient appliances, heating, domestic hot water (DHW), and lighting systems within each residential unit. The main contribution of the presented study entails developing a holistic and scalable methodology for the design and analysis of high-performance residential units and neighborhoods, with the potential of attaining net-positive energy and nearly zero carbon status. The backbone of scalable neighborhood design methodology is the automation framework. The automation framework develops a complete neighborhood design from a single residential building. The developed comprehensive methodology was implemented for simulating 252 neighborhood designs in EnergyPlus. These neighborhood designs were created from three building scale scenarios (one reference case and two NZEBs), twelve site layouts and seven building shapes. Initially, a reference case was designed as per Alberta Building Codes, and then it was optimized for achieving NZE status. Amongst ten such high-performance residential units, two NZEBs were selected based on a developed criterion. The results revealed that optimization at the building level could reduce the impact of site layout by 46.2 – 51.4% and building shape can negatively affect net-positive energy (NPE) status by 8-10%. The best neighborhood design achieved a 13.9% net-positive energy status and diminished carbon emissions by 95%.en_US
dc.identifier.citationJassal, A. P. S. (2021). Towards Net Positive and Nearly Zero Carbon Residential Neighborhoods (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/39002
dc.identifier.urihttp://hdl.handle.net/1880/113621
dc.language.isoengen_US
dc.publisher.facultyEnvironmental Designen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectAutomation framework, neighborhood scale design, building energy performance, EnergyPlus, simulationen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.classificationEngineering--Environmentalen_US
dc.titleTowards Net Positive and Nearly Zero Carbon Residential Neighborhoodsen_US
dc.typemaster thesisen_US
thesis.degree.disciplineEnvironmental Designen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Environmental Design (MEDes)en_US
ucalgary.item.requestcopyfalseen_US
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