A quantitative model of cookstove variability and field performance: Implications for sample size

Biomass and Bioenergy

Volumn 72, Issue , 2015, Pages 233-241

  L'Orange, Christian ^a   Leith, David ^b   Volckens, John ^a   DeFoort, Morgan ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

Biomass; Field testing; Numerical model; Sample size; Uncertainty; Wood combustion

Indexed keywords

BIOMASS; FORESTRY; FUELS; MONTE CARLO METHODS; NUMERICAL METHODS; POLLUTION; PROBABILITY DISTRIBUTIONS; SAMPLING;

FIELD TESTING; MEASUREMENT CONDITIONS; MONTE CARLO PREDICTIONS; PROBABILISTIC DISTRIBUTION; QUANTITATIVE MODELING; SAMPLE SIZES; UNCERTAINTY; WOOD COMBUSTION;

NUMERICAL MODELS;

BIOMASS; COMBUSTION; CONCENTRATION (COMPOSITION); MEASUREMENT METHOD; MOISTURE CONTENT; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; POLLUTANT; TECHNOLOGICAL CHANGE; UNCERTAINTY ANALYSIS; WOOD;

EID: 84921472201     PISSN: 09619534     EISSN: 1873-2909     Source Type: Journal    
DOI: 10.1016/j.biombioe.2014.10.031     Document Type: Article

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