Residential wood burning: Energy modeling and conventional fuel displacement in a national sample

Thesis/Dissertation · Fri Jan 01 04:00:00 EST 1988

OSTI ID:5332607

Warsco, K S

This research studied the natural, built, and behavioral factors predictive of energy consumption for residential space heating with wood or conventional fuels. This study was a secondary analysis of survey data from a nationwide representative sample of 5,682 households collected DOE in the 1984-1985 REC survey. Included were: weather, census division and utility data, interviewer-supplied dwelling measurements and respondent-reported energy-related family behaviors. Linear-regression procedures were used to develop a model that identified key determinants accounting for the variability in wood consumption. A nonlinear-regression model was employed to estimate the amount of conventional fuels used for space heating. The model was also used to estimate the amount of conventional fuels being displaced by wood-heating systems. There was a significant (p {le} .05) linear relationship between the dependent variable, square root of cords burned, various independent variables.

• Research Organization: Michigan State Univ., East Lansing, MI (USA)
• OSTI ID: 5332607
• Country of Publication: United States
• Language: English

Related Subjects

09 BIOMASS FUELS
093000* -- Biomass Fuels-- Economic
Industrial
& Business Aspects-- (1990-)
29 ENERGY PLANNING, POLICY, AND ECONOMY
290100 -- Energy Planning & Policy-- Energy Analysis & Modeling
299000 -- Energy Planning & Policy-- Unconventional Sources & Power Generation
BUILDINGS
ENERGY CONSUMPTION
ENERGY MODELS
ENERGY SOURCES
FUEL SUBSTITUTION
FUELS
HEATING
MATHEMATICS
REGRESSION ANALYSIS
RESIDENTIAL BUILDINGS
SPACE HEATING
STATISTICS
WOOD FUELS