A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Comparing the effectiveness of weatherization treatments for low-income, American, urban housing stocks in different climates
https://orcid.org/0000-0002-7152-996X
https://orcid.org/0000-0002-6137-8109
Highlights We model residential space conditioning energy savings from weatherization. Modeled energy savings are compared to observed energy savings. Results show more savings generally exist in colder climates. Effectiveness of different weatherization treatments varies regionally.
Abstract This paper presents and demonstrates a method for evaluating how the effectiveness of weatherization treatments varies geographically due to difference in climate and housing stock. American Housing Survey data was used to describe the low-income urban housing stock in six different cities representing a range of geographical and climatic areas. These data were then used to drive the Home Energy Saver model to simulate current energy consumption and expected energy savings from a combination of three weatherization treatments: replacing a standard thermostat with a programmable thermostat, installing attic insulation, and envelope air sealing. Modeled energy savings were compared to observed energy savings. Results show that greater energy saving potential generally exists in cities with colder climates, but the effectiveness of different weatherization treatments also varies with differences in regional housing stock and space conditioning equipment. This study's results and methodology could be used in future research to compare the cost-effectiveness and carbon reductions of potential weatherization programs.
Comparing the effectiveness of weatherization treatments for low-income, American, urban housing stocks in different climates
https://orcid.org/0000-0002-7152-996X
https://orcid.org/0000-0002-6137-8109
Highlights We model residential space conditioning energy savings from weatherization. Modeled energy savings are compared to observed energy savings. Results show more savings generally exist in colder climates. Effectiveness of different weatherization treatments varies regionally.
Abstract This paper presents and demonstrates a method for evaluating how the effectiveness of weatherization treatments varies geographically due to difference in climate and housing stock. American Housing Survey data was used to describe the low-income urban housing stock in six different cities representing a range of geographical and climatic areas. These data were then used to drive the Home Energy Saver model to simulate current energy consumption and expected energy savings from a combination of three weatherization treatments: replacing a standard thermostat with a programmable thermostat, installing attic insulation, and envelope air sealing. Modeled energy savings were compared to observed energy savings. Results show that greater energy saving potential generally exists in cities with colder climates, but the effectiveness of different weatherization treatments also varies with differences in regional housing stock and space conditioning equipment. This study's results and methodology could be used in future research to compare the cost-effectiveness and carbon reductions of potential weatherization programs.
Comparing the effectiveness of weatherization treatments for low-income, American, urban housing stocks in different climates
https://orcid.org/0000-0002-7152-996X
https://orcid.org/0000-0002-6137-8109
Highlights We model residential space conditioning energy savings from weatherization. Modeled energy savings are compared to observed energy savings. Results show more savings generally exist in colder climates. Effectiveness of different weatherization treatments varies regionally.
Abstract This paper presents and demonstrates a method for evaluating how the effectiveness of weatherization treatments varies geographically due to difference in climate and housing stock. American Housing Survey data was used to describe the low-income urban housing stock in six different cities representing a range of geographical and climatic areas. These data were then used to drive the Home Energy Saver model to simulate current energy consumption and expected energy savings from a combination of three weatherization treatments: replacing a standard thermostat with a programmable thermostat, installing attic insulation, and envelope air sealing. Modeled energy savings were compared to observed energy savings. Results show that greater energy saving potential generally exists in cities with colder climates, but the effectiveness of different weatherization treatments also varies with differences in regional housing stock and space conditioning equipment. This study's results and methodology could be used in future research to compare the cost-effectiveness and carbon reductions of potential weatherization programs.
Comparing the effectiveness of weatherization treatments for low-income, American, urban housing stocks in different climates
Bradshaw, Jonathan L. (author) / Bou-Zeid, Elie (author) / Harris, Robert H. (author)
Energy and Buildings ; 69 ; 535-543
2013-11-08
9 pages
Article (Journal)
Electronic Resource
English
Weatherization , Low-income housing , Building energy modeling , A , attic insulation , AHS , American Housing Survey , CWP , Conservation Works Program , EIA , Energy Information Administration , GJ , gigajoule , HES , Home Energy Saver , HDD , heating degree day , LBNL , Lawrence Berkeley National Laboratory , MMBTU , Million British Thermal Unit , MSA , metropolitan statistical area , NWAPE , National Weatherization Assistance Program Evaluation , PRISM , Princeton Scorekeeping Method , RECS , Residential Energy Consumption Survey , S , air sealing , T , programmable thermostat , TMY2 , typical meteorological year , WAP , Weatherization Assistance Program , Wx , weatherization assistance