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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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the building fabric is most effective in the smaller building. An important modellingaspect during the cooling season is therefore to reduce solar gains through theaddition <strong>of</strong> shading devices. Both building models results shown include the addition<strong>of</strong> external louvers shading approximately 70% <strong>of</strong> the buildings’ glazed area.In terms <strong>of</strong> the individual fabric improvement measures, simulations showed that thetwo most successful measures were the ro<strong>of</strong> and wall insulation, with the formerbeing the most important individual improvement given the high solar inclinationduring summer which renders ro<strong>of</strong>s the main entry point <strong>of</strong> solar gains into buildings.Finally, an important aspect is the fact that in both buildings, improving the buildingwas most effective for the ground floor apartment. Explicitly this suggests that giventheir location (sheltered from direct sunlight by the floors above) lower located floorstend to benefit from improvements in the thermal envelope <strong>of</strong> the floors locatedabove them. In this case the thicker (and more insulated) walls and ro<strong>of</strong> serve asbarrier to the flow <strong>of</strong> solar-based heat gains downwards towards the ground floor.5.2 Effect <strong>of</strong> improving the electrical efficiency <strong>of</strong> appliances on residentialelectrical demand pr<strong>of</strong>ilesIn Chapter 2 a method was presented whereby low-resolution electrical demanddatasets can be used to create high-resolution demand pr<strong>of</strong>iles reflecting the effects<strong>of</strong> appliance energy-efficiency improvements in future years. Based on theaggregation <strong>of</strong> these individual appliance based pr<strong>of</strong>iles, a number <strong>of</strong> representativeseasonal daily electrical demand pr<strong>of</strong>iles were modelled to represent the current andhigh efficiency electrical demand pr<strong>of</strong>iles <strong>of</strong> individual and aggregated householdswithin the two buildings modelled.A number <strong>of</strong> these pr<strong>of</strong>iles, specifically those for the characteristic days in February,May and August, for both the 3 household building used in Scenario 1 and the 6household building used in Scenarios 2, 3, 4 and 5 were shown in Chapter 2. Table5.3 summarises the key features <strong>of</strong> the demand pr<strong>of</strong>iles shown in Chapter 2,specifically those used to model the current and high electrical efficiency demand168

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