Exploring the impact of different parameterisations of occupant-related internal loads in building energy simulation. Ward, R. M., Choudhary, R., Heo, Y., & Rysanek, A. Energy and Buildings , 123:92 - 105, 2016.
Exploring the impact of different parameterisations of occupant-related internal loads in building energy simulation [link]Paper  doi  abstract   bibtex   
A building energy simulation relies on accurate parameterisation of occupant-related internal loads to simulate a realistic energy balance within a building. The internal loads are inextricably linked to occupant behaviour, both directly through the contribution of occupant heat output to thermal energy balance and indirectly via the interactions between occupants, appliances and building services. While occupancy itself is difficult to measure directly, most buildings possess a wealth of data in the form of monitored electricity consumption in varying degrees of resolution. These data, particularly plug loads, may be used to inform the model of occupant-related internal loads. Different approaches to parameterisation of plug loads have been investigated, with the purpose of exploring the conditions that might lead to preference of one approach over another. The models have been tested through a case study and simulation results have been compared against a range of response variables. Conclusions have been drawn as to the most important features of plug load parameterisation for a model to be used for forecasting future demand.
@article{Ward201692,
title = "Exploring the impact of different parameterisations of occupant-related internal loads in building energy simulation",
journal = "Energy and Buildings ",
volume = "123",
number = "",
pages = "92 - 105",
year = "2016",
note = "",
issn = "0378-7788",
doi = "http://dx.doi.org/10.1016/j.enbuild.2016.04.050",
url = "http://www.sciencedirect.com/science/article/pii/S037877881630305X",
author = "Rebecca Mary Ward and Ruchi Choudhary and Yeonsook Heo and Adam Rysanek",
keywords = "Building energy simulation",
keywords = "Occupancy-related internal loads",
keywords = "Electricity consumption",
keywords = "Plug loads",
keywords = "Uncertainty quantification",
keywords = "Non-domestic buildings",
keywords = "Stochastic analysis ",
abstract = "A building energy simulation relies on accurate parameterisation of occupant-related internal loads to simulate a realistic energy balance within a building. The internal loads are inextricably linked to occupant behaviour, both directly through the contribution of occupant heat output to thermal energy balance and indirectly via the interactions between occupants, appliances and building services. While occupancy itself is difficult to measure directly, most buildings possess a wealth of data in the form of monitored electricity consumption in varying degrees of resolution. These data, particularly plug loads, may be used to inform the model of occupant-related internal loads. Different approaches to parameterisation of plug loads have been investigated, with the purpose of exploring the conditions that might lead to preference of one approach over another. The models have been tested through a case study and simulation results have been compared against a range of response variables. Conclusions have been drawn as to the most important features of plug load parameterisation for a model to be used for forecasting future demand.",
project={b-bem}
}

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