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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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For each appliance in each household, Stage 1 <strong>of</strong> the transformation was used tocalculate the total energy consumption <strong>of</strong> a characteristic day for each <strong>of</strong> the 12months. Given the limitations in the original dataset described previously, using theapproach presented previously only a single representative day could be generatedfor each month, giving a possible 12 characteristic days covering the entire year.Nonetheless, this was enough to capture the salient features <strong>of</strong> the demand.Figure 2.8 (for example) shows how the modelled daily electrical energyconsumption for the individual appliances in household 2A varies over the course <strong>of</strong>a calendar year. The impact <strong>of</strong> seasonality on the daily electrical energy consumption<strong>of</strong> appliances such as refrigerators and lighting fixtures is very clear; high electricalenergy consumption in the former case and low electrical energy consumption in thelatter case during the summer months, and vice versa during the winter months.Fig. 2.8 - Daily electrical energy consumption for household 2A by appliance typeThe annual electric energy consumption is the total addition <strong>of</strong> the individual results<strong>of</strong> the product <strong>of</strong> the daily electrical energy consumption, calculated for eachcharacteristic day <strong>of</strong> each month and the number <strong>of</strong> days present in each month.Table 2.10 lists down the results obtained for each individual household.57

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