Method for Correct Determination of Residential Buildings' Heating Loads

What is it about?

In designing energy-saving heating systems, it is important to have the exact values of heating loads and seasonal heating demands of buildings. The existing methods for determining these values are not accurate enough, because they do not take into account important factors such as the impact of solar radiation on the surfaces of south walls and roofs, the significant difference between daytime and nighttime outside temperatures, as well as daytime and nighttime temperatures’ duration in the heating season. Apart from the stated disadvantages, the existing methods do not take into consideration the fact that each building has its own heating season duration. The mentioned imperfections do not allow finding out the correct values of the heating demands of buildings, which may become the primary cause of wrong designs of heat supply systems. In this entry, new and improved methods are presented for the correct determination of heating loads of buildings.

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Why is it important?

Provides correct results of heating demands of buildings. Economizes duration of calculations . Allows determining right duration of the heating periods for each building , This entry was prepared based on summarizing the results of a research work accomplished by the author within a program of heating efficiency. For providing energy and fuel savings in heating systems, the exact values of heating loads of buildings are needed first. The newly developed method provides high accuracy in determining heating loads of buildings, as it takes into account the impact of more factors. It particularly highlights the impacts of sizes and the thermophysical properties of buildings’ envelopes, irradiation and outside daytime and nighttime temperatures, duration of heating season, and internal thermal rejections on the values of heating loads of buildings. The proposed method discovers that heating seasons are different for each building, even in the same climatic conditions. It can be used for designing energy-efficient houses. The proposed method is designed for experts but it can be used by students too.

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