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Human Settlements Review - Parliamentary Monitoring Group

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<strong>Human</strong> <strong>Settlements</strong> <strong>Review</strong>, Volume 1, Number 1, 2010<br />

Figure 2 Algorithm 1: Model Development<br />

Select 5 houses<br />

for validation<br />

process<br />

Validate models on the<br />

basis of predicted indoor<br />

ambient temperatures<br />

Section 3.3:<br />

• Prepare spreadsheet summary of<br />

predicted (modeled) and measured<br />

indoor ambient temperatures<br />

• Calculate the average difference<br />

between the two data sets, on an<br />

hourly basis<br />

• Select the lowest of the calculated<br />

median values as the upper bound<br />

Model<br />

accurate and<br />

conservative<br />

<br />

• If temperature predictions within<br />

10% of measured, continue<br />

• If not, refine model input data and<br />

perform new iteration<br />

• Repeat process until model results<br />

within 10% range<br />

Perform energy<br />

calculations<br />

iterations, with<br />

and without a<br />

ceiling<br />

Section 3.1 and 3.2:<br />

Identify the<br />

• diurnal space heating periods<br />

• morning and evening indoor temperature<br />

levels (thermal comfort levels 21 ° C)<br />

Prepare summary of results<br />

indicating space heating<br />

energy saved – for both<br />

morning and evening<br />

heating periods<br />

Extrapolate results for all<br />

houses<br />

224

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