Grant: Collaborative Research and Development Grants
University of Alberta
$109,300.00
Framework for energy-based decision support system (DSS) for residential construction projects
EF 2019-20
Résumé
Over the years, Canada's cold climate has been the primary driver of the established energy design requirements. While energy demands have been steadily increasing to provide better indoor living conditions, there has been little corresponding innovation with respect to the technology and systems used in the building envelope and heating and cooling system. Thus, the capital costs of construction projects have increased in order to meet these demands. Insufficient energy design procedures have further hindered practitioners during the design stages due to the lack of an innovative framework allowing the efficient exploration of different combinations of building envelope and heating/cooling systems. This research introduces a novel solution for energy efficiency improvement by incorporating energy studies with target costing techniques. The energy evaluation process is based on the direct energy impact of the proposed construction systems-the three level hierarchical systems; assembly systems, sub-assembly systems, and construction components-and their indirect impact due to the interchangeable interactions among the systems. Consequently, an internal comparative-based energy evaluation of all possible energy models that satisfy client's requirements and target cost will be established, and improved energy design along with detailed project estimate breakdown and a full list of project specifications will be generated. The introduction of energy factors and energy mathematical models will promote the exploration of all possible configurations of energy models according to a specific project design. Through the utilization of data mining techniques, the developed energy functions will automatically generate a list of all possible simulated results of the energy consumption of a project, and the rule-based analysis (RBA) will select the alternatives that yield the highest energy efficiency. Finally, the proposed energy management system will provide the basis needed to validate and update the developed TCEng, which, in turn, will guide the energy design for future residential projects.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
505476-2016
Name nom
Gul, Mustafa
Department département
Civil and Environmental Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2016
Award amount
109300
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
603
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Construction methods
Area of application fr
Méthodes de construction
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Construction engineering and management
Research subject fr
Génie et gestion du bâtiment
Installment
inst:3 - 3
Partie
3
Nb partie
3
Application title
Framework for energy-based decision support system (DSS) for residential construction projects
Keyword
NSERC
Application summary
Over the years, Canada's cold climate has been the primary driver of the established energy design requirements. While energy demands have been steadily increasing to provide better indoor living conditions, there has been little corresponding innovation with respect to the technology and systems used in the building envelope and heating and cooling system. Thus, the capital costs of construction projects have increased in order to meet these demands. Insufficient energy design procedures have further hindered practitioners during the design stages due to the lack of an innovative framework allowing the efficient exploration of different combinations of building envelope and heating/cooling systems. This research introduces a novel solution for energy efficiency improvement by incorporating energy studies with target costing techniques. The energy evaluation process is based on the direct energy impact of the proposed construction systems-the three level hierarchical systems; assembly systems, sub-assembly systems, and construction components-and their indirect impact due to the interchangeable interactions among the systems. Consequently, an internal comparative-based energy evaluation of all possible energy models that satisfy client's requirements and target cost will be established, and improved energy design along with detailed project estimate breakdown and a full list of project specifications will be generated. The introduction of energy factors and energy mathematical models will promote the exploration of all possible configurations of energy models according to a specific project design. Through the utilization of data mining techniques, the developed energy functions will automatically generate a list of all possible simulated results of the energy consumption of a project, and the rule-based analysis (RBA) will select the alternatives that yield the highest energy efficiency. Finally, the proposed energy management system will provide the basis needed to validate and update the developed TCEng, which, in turn, will guide the energy design for future residential projects.