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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.
|Title of host publication||14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings|
|Place of Publication||[Hyderabad]|
|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||14th Conference of International Building Performance Simulation Association, BS 2015|
|Period||7/12/15 → 9/12/15|
- micro generation
- occupancy modelling
- utilities demands
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OccDem - a program to generate statistically-based occupancy and occupant-driven electrical demand profiles.