Life Cycle Optimization of a Zero Carbon Building for CO2e, Energy, and Cost Using Stochastic Controls for an Energy System Integrating a Heat Pump, Solar Air Wall, PV, and a Smart Grid-integrated Thermal Storage (SGTS) Hydronic Battery

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dc.contributor.advisorAssefa, Getachew
dc.contributor.authorStoyke, Godo Albert
dc.contributor.committeememberHachem-Vermette, Caroline
dc.contributor.committeememberLayzell, David B.
dc.contributor.committeememberLee, Tang Gim
dc.contributor.committeememberBlarke, Morten Boje
dc.date2018-06
dc.date.accessioned2018-03-20T14:24:14Z
dc.date.available2018-03-20T14:24:14Z
dc.date.issued2018-03-15
dc.description.abstractThe life cycle optimization (LCO) of zero carbon buildings (ZC) was examined, using a laneway house built with photovoltaic and solar air wall (SAW) renewable energy collection, air-to-water heat pump, smart grid-integrated thermal storage (SGTS) hydronic battery with an internet-connected stochastic (predictive) control system in subarctic Edmonton, Alberta, Canada. LCO is for global warming potential (GWP), energy, cost, and renewable friendliness. A life cycle assessment (LCA) based methodology (carbon return on investment – CROI) is proposed for design and retrofit decisions on the basis of GWP and cost. Sustainable building rating systems are modelled for their effectiveness in reducing GWP and energy use and are found to reduce life cycle GWP by 18.3% (LEED 2009 certified), 60.7% (PassivHaus 9.30), 96.9% (net zero) and 97.2% (zero carbon) compared to a home built to Alberta Building Code 2014 (base model – BM) over an 80 year life cycle. LCA of the ZC laneway house found a 94.4% reduction in GWP compared to the BM. In the BM, manufacturing, construction, maintenance and end of life phases contributed only 3.6% of life cycle GWP. A modelled HP with stochastic control, SAW and SGTS reduced annual energy consumption by 49.2% compared to a HP only, and by 61.8% compared to resistive heating. Using hourly grid pricing as a proxy of renewable friendliness, modelled optimization under a simulated dynamic pricing system by using hourly historic Alberta electrical pool pricing averaged over each month as a stochastic control mechanism for the HP showed a statistically significant 60.7% to 71.5% energy cost reduction, compared to a thermostatically controlled HP. Preliminary ZC real-life sensor readings are examined.en_US
dc.identifier.citationStoyke, G.A. 2018. Life Cycle Optimization of a Zero Carbon Building for CO2e, Energy, and Cost Using Stochastic Controls for an Energy System Integrating a Heat Pump, Solar Air Wall, PV, and a Smart Grid-integrated Thermal Storage (SGTS) Hydronic Battery. (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31737en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31737
dc.identifier.urihttp://hdl.handle.net/1880/106444
dc.language.isoeng
dc.publisher.facultyEnvironmental Design
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.
dc.subjectGreen building rating systems
dc.subjectclimate change
dc.subjectCO2e
dc.subjectCarbon return on investment
dc.subjectCROI
dc.subjectIRR
dc.subjectcost-benefit analysis
dc.subjectleast-cost climate abatement
dc.subjectresidual carbon debt
dc.subjectstochastic control
dc.subjectheat pump
dc.subjectthermal storage
dc.subjectglobal warming potential
dc.subjectenergy efficiency
dc.subjectmodel predictive control
dc.subjectenergy efficiency retrofit
dc.subjectresidential
dc.subjectArchitecture
dc.subjectcommercial
dc.subjectGHG emission reduction
dc.subjectenergy consumption
dc.subjectLife cycle assessment
dc.subjectLife cycle costing
dc.subjectLCA
dc.subjectLCC
dc.subjectCAGBC LEED
dc.subjectnet zero energy building
dc.subjectzero carbon building
dc.subjectZEB
dc.subjectPassivHaus
dc.subjectpassive house
dc.subjectlaneway house
dc.subjectGarden suite
dc.subjectzero-peak house
dc.subjectEdmonton
dc.subjectAlberta
dc.subjectCanada
dc.subjectSmart grid-integrated thermal storage (SGTS)
dc.subjectCoefficient of performance
dc.subjectCOP
dc.subjectPhotovoltaic
dc.subjectsolar thermal air wall
dc.subjectsolar thermal collector
dc.subjectpredictive controls
dc.subjectweather forecast
dc.subject.classificationEnvironmental Sciencesen_US
dc.subject.classificationEnergyen_US
dc.subject.classificationEngineeringen_US
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.subject.classificationEngineering--Mechanicalen_US
dc.titleLife Cycle Optimization of a Zero Carbon Building for CO2e, Energy, and Cost Using Stochastic Controls for an Energy System Integrating a Heat Pump, Solar Air Wall, PV, and a Smart Grid-integrated Thermal Storage (SGTS) Hydronic Battery
dc.typedoctoral thesis
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.checklistI confirm that I have submitted all of the required forms to Faculty of Graduate Studies.en_US
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