Electrical-end-use data from 23 houses sampled each minute for simulating micro-generation systems

Abstract An improved understanding of the consumption patterns, end-uses, and temporal variations of electrical loads in houses is warranted because a significant fraction of a society’s total electricity consumption occurs within residential buildings. In general, there is a lack of high-temporal-resolution data describing occupant electrical consumption that are available to researchers in this field. To address this, new measurements were performed and combined with data emanating from an earlier study to provide a database of annual measurements for 23 houses at a 1-min resolution that characterizes whole-house, non-HVAC, air conditioner, and furnace fan electrical draws, as well as the draw patterns of some major appliances. All houses were located in Ottawa, Canada. The non-HVAC measurements of this 23-house sample were shown to be in agreement with published estimates for the housing stock. The furnace fan was found to be the most significant end-use. These high-temporal-resolution data of electrical demands in houses can be used by researchers to increase the fidelity of building performance simulation analyses of different micro-generation technologies in residential buildings.

[1]  Ian Paul Knight,et al.  Residential Cogeneration Systems: European and Canadian Residential Non-HVAC Electric and DHW Load Profiles For Use in Simulating the Performance of Residential Cogeneration Systems , 2007 .

[2]  E. E. Richman,et al.  Metered end-use consumption and load shapes from the ELCAP residential sample of existing homes in the Pacific Northwest , 1993 .

[3]  J. Widén,et al.  Constructing load profiles for household electricity and hot water from time-use data—Modelling approach and validation , 2009 .

[4]  Aya Hagishima,et al.  Total utility demand prediction system for dwellings based on stochastic processes of actual inhabitants , 2010 .

[5]  Kevin J. Lomas,et al.  Identifying trends in the use of domestic appliances from household electricity consumption measurements , 2008 .

[6]  Kajsa Ellegård,et al.  Models of domestic occupancy, activities and energy use based on time-use data: deterministic and stochastic approaches with application to various building-related simulations , 2012 .

[7]  J. Neter,et al.  Applied Linear Regression Models , 1983 .

[8]  Mark Rylatt,et al.  A simple model of domestic lighting demand , 2004 .

[9]  Ian Beausoleil-Morrison,et al.  Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution , 2012 .

[10]  David Infield,et al.  Domestic electricity use: A high-resolution energy demand model , 2010 .

[11]  Evgueniy Entchev,et al.  Exploring the potential synergy between micro-cogeneration and electric vehicle charging , 2014 .

[12]  Filippo Spertino,et al.  Which are the constraints to the photovoltaic grid-parity in the main European markets? , 2014 .

[13]  Paul Parker,et al.  Research with disaggregated electricity end‐use data in households: review and recommendations , 2015 .

[14]  M. M. Armstrong,et al.  Control strategies and cycling demands for Li-ion storage batteries in residential micro-cogeneration systems , 2015 .

[15]  Atila Novoselac,et al.  Appliance daily energy use in new residential buildings: Use profiles and variation in time-of-use , 2014 .

[16]  Nigel Isaacs,et al.  Energy in New Zealand houses: comfort, physics and consumption , 2010 .

[17]  E. Caamaño-Martín,et al.  PV self-consumption optimization with storage and Active DSM for the residential sector , 2011 .

[18]  Danny S. Parker Very low energy homes in the United States: Perspectives on performance from measured data , 2009 .

[19]  Ian Beausoleil-Morrison,et al.  Higher-capacity lithium ion battery chemistries for improved residential energy storage with micro-cogeneration , 2013 .

[20]  Ian Beausoleil-Morrison,et al.  Disaggregating categories of electrical energy end-use from whole-house hourly data , 2012 .

[21]  Ian Beausoleil-Morrison,et al.  Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing , 2009 .