A New Hybrid End-use Energy and Emissions Model of the Canadian Housing Stock
The structure and development of a new state-of-the-art hybrid energy end-use and greenhouse gas (GHG) emissions model of the Canadian residential housing stock is presented.The model incorporates a 17,000 house database developed using the latest data available from the Energuide for Houses database,Statistics Canada housing surveys,and other available housing databases,and utilizes the ESP-r building energy simulation program as its simulation engine.A new neural network methodology is incorporated into the model to estimate the socio-economic and demographic dependencies of the energy consumption of discretionary end-uses such as appliances,lighting and domestic hot water,while a new approach is used to incorporate occupancy,appliance,lighting and domestic hot water load profiles into the model.A new method is used to calculate the GHG emissions from electricity consumption used in the residential sector based on the actual electrical generation fuel mix and the marginal fuel used in each province as a function of time of the year.
Energy model Emissions model Residential energy consumption Housing stock energy consumption
Lukas Swan V.Ismet Ugursal Ian Beausoleil-Morrison
Department of Mechanical Engineering,Dalhousie University,Halifax,N.S.Canada Department of Mechanical and Aerospace Engineering,Carleton Univ.,Ottawa,Ont.Canada
国际会议
The First International Conference on Building Energy and Environment(第一届建筑能源与环境国际会议)
大连
英文
1843-1850
2008-07-01(万方平台首次上网日期,不代表论文的发表时间)