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UK Office Building Archetypal Models

Figure 1: Office building model archetypes

jEPlus project presented here coupled four office building models (Fig. 1) with thirteen parameters (Fig. 2) such as construction of building envelope, size and construction of fenestration areas, daylight and solar control measures, indoor environment parameters, occupancy, and activity-related parameters. The ranges of parameter values are applicable to the UK office building stock. Detailed description of establishing parameter values is presented in the journal paper.

Reference: Korolija, I., Marjanovic-Halburd, L., Zhang, Y. and Hanby, V.I. 2013. UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands. Energy and Buildings 60, pp. 152–162. link

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An archetypal simulation model of office building representing variability in UK office building stock by parametrising built form, construction elements, occupancy/usage and operational/control strategy has been developed thus enabling detailed energy performance simulation to be used for stock modelling and parametric studies. The paper discusses the building characteristics needed to be considered for energy performance simulation, their values, and how they can be used in parametric studies. These parameters include built forms, fabrics (including thermal mass and insulation positioning), glazing percentages and characteristics, daylight and solar control measures and activity and operational related parameters (heating and cooling set points, ventilation rate, occupancy density and metabolic rate, equipment and lighting gain). The default parameter values suggested for the archetypal simulation model reflect typical existing and currently proposed UK office building stock. An archetypal model, combined with parametric studies, can be used in assessing energy performance of building stock and evaluating adaptation/retrofitting strategies.


Figure 2. Office building models parameter tree

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