Presents and explains derivation of simplified heat transfer equation as part of an averaging method to enable perceptive home owner to determine air infiltration. A winter month isselected and the gas meter read daily. Explains how with these minimum data and summary data from us weather bureau average infiltration for the month, plus other useful data such as relative magnitude of conduction vs. infiltration losses can be determined. Demonstrates technique by worked example for a demonstration house.
Detailed analysis of actual space heating requirements shows a much higher consumption in mild weather than predicted. Attributes this mainly to casual window opening, which accounts for 30% of total energy used. This factor will be greater in well-insulated houses where ventilation loss is proportionately greater. Examination of motives for window opening suggests high humidity levels are most likely. The trend to man-made fibres in soft furnishings with low moisture storage capacity accentuates humidity problem.
Points out that energy necessary to humidify air in a dwelling is usually far greater than consequent decreased sensible heat loss. Provides basic information necessary to calculate moisture deficit or surplus due to air exchange. Calculates rate of moisture addition or subtraction from air to house to maintain given humidity ratio. Determines under what circumstances humidification results in net savings of energy, describing factors affecting humidity in typical households. Concludes that net energy cost of humidification varies with each situation.
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