Towards detailed occupancy and demand modelling of low-carbon communities

Research output: Contribution to conferencePaper

Abstract

The integration of low carbon energy systems with zero carbon housing and communities requires a detailed understanding of the scale and timing of energy demand. Household demand is closely related to occupant type and associated occupancy patterns. A high resolution occupancy modelling technique is proposed as a foundation for future demand modelling. Probability data is compiled for multiple occupant, household, and day types from Time-Use Survey data. A higher order Markov approach is then used to generate representative occupancy profiles over extended time periods. An improved method to model family interactions has also been developed.

Conference

Conference1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014,
CountryUnited Kingdom
CityBirmingham
Period11/09/1412/09/14

Fingerprint

Carbon
Modeling
Survey Data
Energy
Timing
High Resolution
Higher Order
Zero
Interaction
Community
Demand
Model
Family
Profile

Keywords

  • low-carbon in housing
  • zero-carbon buildings
  • energy consumption modelling

Cite this

Flett, G. H., & Kelly, N. (2014). Towards detailed occupancy and demand modelling of low-carbon communities. Paper presented at 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, , Birmingham, United Kingdom.
Flett, Graeme Hamilton ; Kelly, Nicolas. / Towards detailed occupancy and demand modelling of low-carbon communities. Paper presented at 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, , Birmingham, United Kingdom.8 p.
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title = "Towards detailed occupancy and demand modelling of low-carbon communities",
abstract = "The integration of low carbon energy systems with zero carbon housing and communities requires a detailed understanding of the scale and timing of energy demand. Household demand is closely related to occupant type and associated occupancy patterns. A high resolution occupancy modelling technique is proposed as a foundation for future demand modelling. Probability data is compiled for multiple occupant, household, and day types from Time-Use Survey data. A higher order Markov approach is then used to generate representative occupancy profiles over extended time periods. An improved method to model family interactions has also been developed.",
keywords = "low-carbon in housing, zero-carbon buildings, energy consumption modelling",
author = "Flett, {Graeme Hamilton} and Nicolas Kelly",
note = "Date of Acceptance: 08/07/2014; 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, ; Conference date: 11-09-2014 Through 12-09-2014",
year = "2014",
month = "9",
day = "11",
language = "English",

}

Flett, GH & Kelly, N 2014, 'Towards detailed occupancy and demand modelling of low-carbon communities' Paper presented at 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, , Birmingham, United Kingdom, 11/09/14 - 12/09/14, .

Towards detailed occupancy and demand modelling of low-carbon communities. / Flett, Graeme Hamilton; Kelly, Nicolas.

2014. Paper presented at 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, , Birmingham, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Towards detailed occupancy and demand modelling of low-carbon communities

AU - Flett, Graeme Hamilton

AU - Kelly, Nicolas

N1 - Date of Acceptance: 08/07/2014

PY - 2014/9/11

Y1 - 2014/9/11

N2 - The integration of low carbon energy systems with zero carbon housing and communities requires a detailed understanding of the scale and timing of energy demand. Household demand is closely related to occupant type and associated occupancy patterns. A high resolution occupancy modelling technique is proposed as a foundation for future demand modelling. Probability data is compiled for multiple occupant, household, and day types from Time-Use Survey data. A higher order Markov approach is then used to generate representative occupancy profiles over extended time periods. An improved method to model family interactions has also been developed.

AB - The integration of low carbon energy systems with zero carbon housing and communities requires a detailed understanding of the scale and timing of energy demand. Household demand is closely related to occupant type and associated occupancy patterns. A high resolution occupancy modelling technique is proposed as a foundation for future demand modelling. Probability data is compiled for multiple occupant, household, and day types from Time-Use Survey data. A higher order Markov approach is then used to generate representative occupancy profiles over extended time periods. An improved method to model family interactions has also been developed.

KW - low-carbon in housing

KW - zero-carbon buildings

KW - energy consumption modelling

UR - http://www.zcb2014.org/

M3 - Paper

ER -

Flett GH, Kelly N. Towards detailed occupancy and demand modelling of low-carbon communities. 2014. Paper presented at 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, , Birmingham, United Kingdom.