Towards detailed occupancy and demand modelling of low-carbon communities

Graeme Hamilton Flett; Nicolas Kelly

Towards detailed occupancy and demand modelling of low-carbon communities

Graeme Hamilton Flett, Nicolas Kelly

Mechanical And Aerospace Engineering

Research output: Contribution to conference › Paper

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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.

Original language	English
Number of pages	8
Publication status	Published - 11 Sept 2014
Event	1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014, - Birmingham City University, Birmingham, United Kingdom Duration: 11 Sept 2014 → 12 Sept 2014

Conference

Conference	1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014,
Country/Territory	United Kingdom
City	Birmingham
Period	11/09/14 → 12/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

Flett-Kelly-ZCB-2014-Towards-occupancy-and demand-modelling-low-carbon-communities-Sep-2014Accepted author manuscript, 521 KB

Cite this

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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",

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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

T2 - 1st International Conference on Zero Carbon Buildings Today and in the Future, ZCB2014,

Y2 - 11 September 2014 through 12 September 2014

ER -

Towards detailed occupancy and demand modelling of low-carbon communities

Abstract

Conference

UN SDGs

Keywords

Access to Document

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