scholarly journals Evaluating the Age-Energy Consumption Profile in Residential Buildings

2018 ◽  
Author(s):  
Hossein Estiri ◽  
Emilio Zagheni

Age is an important proxy for many life course trajectories. The relationship between energy consumption and age is complex and understudied. We evaluated the existence and determinants of an age-energy consumption profile in the U.S. residential sector, using microdata from four waves of the Residential Energy Consumption Survey (RECS) in 1987, 1990, 2005, and 2009. We constructed pseudo cohorts from Bayesian generalized linear model estimates to draw micro-profiles for energy consumption across the life course. Overall, we found that residential energy consumption increases over the life course. Much of the increase in energy consumption is due to housing size. Variations in the age-energy consumption micro-profiles can be described by concave and convex functions. In contrast to previous research that suggested that population aging would reduce energy demand, our results indicate that changing population age structure could amplify residential energy demand.

Field Methods ◽  
2020 ◽  
Vol 33 (1) ◽  
pp. 68-84
Author(s):  
Rachel Harter ◽  
Katherine B. Morton ◽  
Ashley Amaya ◽  
Derick Brown

The literature has no standard method for estimating the coverage of area probability segments in address-based frames. Versatility is desirable for different study needs, but standardization improves comparability. Many segment estimates are simple ratios of counts of frame addresses to control totals, or net coverage ratios. Challenges to segment ratios include geocoding error, outdated control totals, errors in the address frame, and systematic exclusion of types of addresses. We tested various net coverage ratios on segments selected for the 2015 Residential Energy Consumption Survey, and we share our results and recommendations for using net coverage ratios for estimating coverage for segments.


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