Activity based energy demand modeling for residential buildings

Statistics reveal that almost one-fourth of the overall power consumption in the US is by residential buildings; this number is only increasing. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high resolution energy-demand model. To achieve this goal, we propose a modeling framework aimed at generating household energy demand profiles based on individual-level energy consuming activities. The model associates appliance usage for each household activity and calculates energy consumption based on the appliance energy rating and duration of activity. We use this information to generate a household level energy demand profile for roughly 63,000 households and discuss the possible uses of generating residential energy demand patterns. This paper provides a novel way to resolve correlational and consistency problems in the generation of individual-level and household-level “shared” activities which occur due to household members' interactions.

[1]  Zeke Hausfather,et al.  A High‐Resolution Statistical Model of Residential Energy End Use Characteristics for the United States , 2010 .

[2]  Ian Richardson,et al.  A high-resolution domestic building occupancy model for energy demand simulations , 2008 .

[3]  Технология,et al.  National Climatic Data Center , 2011 .

[4]  Bodil Merethe Larsen,et al.  Norwegian residential electricity demand—a microeconomic assessment of the growth from 1976 to 1993 , 2001 .

[5]  Madhav V. Marathe,et al.  Generation and analysis of large synthetic social contact networks , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[6]  M. D. McKay,et al.  Creating synthetic baseline populations , 1996 .

[7]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[8]  Regina Lamedica,et al.  A bottom-up approach to residential load modeling , 1994 .

[9]  Y. Shimoda,et al.  Residential end-use energy simulation at city scale , 2004 .

[10]  J. Widén,et al.  A high-resolution stochastic model of domestic activity patterns and electricity demand , 2010 .

[11]  J. Quigley,et al.  Residential energy use and conservation: Economics and demographics , 2012 .

[12]  Eric Hirst.  A model of residential energy use , 1978 .

[13]  Achla Marathe,et al.  A computational approach to modeling commodity markets , 2007 .

[14]  David G. Kleinbaum,et al.  Maximum Likelihood Techniques: An Overview , 1994 .

[15]  Yun-Shang Chiou.  DERIVING U . S . HOUSEHOLD ENERGY CONSUMPTION PROFILES FROM AMERICAN TIME USE SURVEY DATA – A BOOTSTRAP APPROACH , 2009 .