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Analysis of the application of passive solar collecting approaches for rural house in super-cold areas of China

Authors: Hong Jin; Chunyan Zhou;

Analysis of the application of passive solar collecting approaches for rural house in super-cold areas of China

Abstract

Recently, Chinese government pays more attention to rural housing construction, and at same time, bring forward the policy of energy saving and renewable energy usage in the buildings. The application of the solar techniques has become a major trend for the energy efficiency of rural housing. Among these, passive solar houses have been popular because of low-price, easy operation. There are three kinds of passive solar heat collecting approaches: direct gain, attached sunroom, and collecting and storing heat wall. According to the investigation to the rural housing in chill region of China, this paper puts forward a kind of passive solar house with the technology of "direct gain"+ "attached sunroom" which are suitable for local condition through analyzing integrate performance such as the efficiency of heat collection, energy saving, cost, manoeuvrability and so on. It meets the demands of sustainable development and possesses value of spreading.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average