Abstract
Micro-generation schemes are increasingly being proposed for and incorporated in new-build housing developments. Community composition dependant demand prediction for such schemes is poorly understood and modelled. Using a previously developed higher-order Markovchain occupancy model, differentiated for different household types, an occupancy-driven electricity demand model has been developed from high resolution appliance-level data to realistically distribute demand cycles for individual households. The model incorporates a novel event-based method for linking the time-of-day probability of appliance cycles relative to occupancy, which allows accurate replication of expected demand patterns and improves computational efficiency compared to existing models. Additional socio-economic and behavioural factors are also included to better capture demand diversity.
| Language | English |
|---|---|
| Title of host publication | 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings |
| Place of Publication | [Hyderabad] |
| Pages | 1821-1828 |
| Number of pages | 8 |
| Publication status | Published - 7 Dec 2015 |
| Event | 14th Conference of International Building Performance Simulation Association, BS 2015 - Hyderabad, India Duration: 7 Dec 2015 → 9 Dec 2015 |
Conference
| Conference | 14th Conference of International Building Performance Simulation Association, BS 2015 |
|---|---|
| Country | India |
| City | Hyderabad |
| Period | 7/12/15 → 9/12/15 |
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Keywords
- micro generation
- occupancy modelling
- utilities demands
Cite this
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Household-differentiated demand modelling for communities. / Flett, Graeme; Kelly, Nicolas.
14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings. [Hyderabad], 2015. p. 1821-1828.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Household-differentiated demand modelling for communities
AU - Flett, Graeme
AU - Kelly, Nicolas
PY - 2015/12/7
Y1 - 2015/12/7
N2 - Micro-generation schemes are increasingly being proposed for and incorporated in new-build housing developments. Community composition dependant demand prediction for such schemes is poorly understood and modelled. Using a previously developed higher-order Markovchain occupancy model, differentiated for different household types, an occupancy-driven electricity demand model has been developed from high resolution appliance-level data to realistically distribute demand cycles for individual households. The model incorporates a novel event-based method for linking the time-of-day probability of appliance cycles relative to occupancy, which allows accurate replication of expected demand patterns and improves computational efficiency compared to existing models. Additional socio-economic and behavioural factors are also included to better capture demand diversity.
AB - Micro-generation schemes are increasingly being proposed for and incorporated in new-build housing developments. Community composition dependant demand prediction for such schemes is poorly understood and modelled. Using a previously developed higher-order Markovchain occupancy model, differentiated for different household types, an occupancy-driven electricity demand model has been developed from high resolution appliance-level data to realistically distribute demand cycles for individual households. The model incorporates a novel event-based method for linking the time-of-day probability of appliance cycles relative to occupancy, which allows accurate replication of expected demand patterns and improves computational efficiency compared to existing models. Additional socio-economic and behavioural factors are also included to better capture demand diversity.
KW - micro generation
KW - occupancy modelling
KW - utilities demands
UR - http://www.scopus.com/inward/record.url?scp=84976342621&partnerID=8YFLogxK
UR - http://www.bs2015.in/proceedings.php
M3 - Conference contribution book
SP - 1821
EP - 1828
BT - 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings
CY - [Hyderabad]
ER -