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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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Figure 7.2 Degree-Days Versus Monthly Fuel Use [6]<br />

A best-fit line is then drawn, and the point <strong>of</strong> intercept <strong>of</strong> this line with the yaxis<br />

gives the monthly fuel use for hot water and cooking. Multiplying this<br />

number by twelve gives the annual non-space heating fuel use, and subtracting<br />

this value from the total annual fuel use gives the annual fuel use for space<br />

heating. To find the total heat demand, an efficiency factor must then be<br />

applied, relevant to the type <strong>of</strong> fuel and plant used to gain the original<br />

consumption figures. This figure can then be used to scale the annual pr<strong>of</strong>ile.<br />

The annual fuel use for water heating (without cooking fuel use) must be<br />

determined for each individual case from the annual non-space heating fuel use.<br />

As this does not tend to vary greatly throughout the year, daily pr<strong>of</strong>iles may be<br />

produced for weekdays and weekends based on occupancy and typical<br />

behaviour, and these are then used to produce an annual pr<strong>of</strong>ile. Again an<br />

efficiency factor must be applied to the annual fuel use figure, based on the type<br />

<strong>of</strong> fuel and plant used for the original consumption figures, and the overall<br />

annual hot water demand can then be used to determine an annual hot water use<br />

pr<strong>of</strong>ile. Parts <strong>of</strong> these pr<strong>of</strong>iles can then be used relevant to the chosen timeframe<br />

<strong>of</strong> the study.<br />

The demand definition window gives the option to load demand data from a<br />

database, import a pr<strong>of</strong>ile from another source, or specifically design a pr<strong>of</strong>ile.<br />

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