scholarly journals Health effects associated with energy conservation measures in commercial buildings

1990 ◽  
Author(s):  
R.D. Stenner ◽  
M.C. Baechler
Keyword(s):  
Energy Conservation ◽  
Health Effects ◽  
Commercial Buildings ◽  
Conservation Measures ◽  
Energy Conservation Measures

Impact of residential infiltration-reducing energy conservation measures on indoor air quality and potential health effects

1996 ◽  
Vol 4 (2) ◽  
pp. 91-99 ◽  
Author(s):  
Thad Godish
Keyword(s):  
Air Quality ◽  
Energy Conservation ◽  
Indoor Air Quality ◽  
Health Effects ◽  
Indoor Air ◽  
Potential Health ◽  
Conservation Measures ◽  
Energy Conservation Measures ◽  
The Relationship ◽  
Reducing Energy

Theoretical and reported impacts of infiltration-reducing energy conservation measures on indoor air quality in residential buildings are reviewed. Though it is widely held that energy conservation measures either cause or contribute to indoor air pollution and possible adverse health effects, the relationship is a relatively complex one. Potential effects of energy conservation measures depend on the nature of individual contaminants, their sources, and responses to changes in infiltration and ventilation conditions. For contaminants such as formaldehyde, volatile organic compounds, and radon, infiltration-reducing energy conservation measures appear to have limited effects on contaminant levels and potential health risks. Moisture is a major concern because decreased ventilation associated with energy conservation measures may result in increased indoor water vapor levels that may provide a favorable environment for allergen-producing dust mites and mold, as well as structural damage. As with other contaminants, the relationship between energy conservation measures and indoor moisture levels is relatively complex.Key words: infiltration, ventilation, indoor air quality, energy conservation, radon, formaldehyde.

Estimation of Energy Savings for Building Retrofits Using Neural Networks

1998 ◽  
Vol 120 (3) ◽  
pp. 211-216 ◽  
Author(s):  
M. Krarti ◽  
J. F. Kreider ◽  
D. Cohen ◽  
P. Curtiss
Keyword(s):  
Neural Networks ◽  
Energy Conservation ◽  
Case Studies ◽  
Energy Savings ◽  
Commercial Buildings ◽  
Background Information ◽  
Conservation Measures ◽  
Energy Conservation Measures

This paper overviews some applications of neural networks (NNs) to estimate energy and demand savings from retrofits of commercial buildings. First, a brief background information on NNs is provided. Then, three specific case studies are described to illustrate how and when NNs can be used successfully to determine energy savings due to the implementation of various energy conservation measures in existing commercial buildings.

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