Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Michael E. Goerndt"'
Publikováno v:
Biomass and Bioenergy. 59:348-361
Past studies have established measures of co-firing potential at varying spatial scales to assess opportunities for renewable energy generation from woody biomass. This study estimated physical availability, within ecological and public policy constr
Publikováno v:
Biomass and Bioenergy. 58:158-167
Substantial knowledge has been generated in the U.S. about the resource base for forest- and other residue-derived biomass for bioenergy including co-firing in power plants. However, a lack of understanding regarding power plant-level operations and
Publikováno v:
Forest Science. 59:536-548
Small-area estimation (SAE) is a concept that has considerable potential for precise estimation of forest ecosystem attributes in partitioned forest populations. In this study, several estimators were compared as SAE techniques for 12 counties in the
Publikováno v:
Energy Economics. 34:2116-2124
The residential sector consumes about 23% of the energy derived from wood (wood energy) in the U.S. An estimated error correction model with data from 1967 to 2009 suggests that residential wood energy consumption has declined by an average 3% per ye
Publikováno v:
Energy Economics. 34:1790-1798
The use of biomass as a source of energy has been identified as a viable option to diminish reliance on fossil fuels. We parameterized the effect of selected internal (e.g. coal-fire presence), external (e.g. price and renewable energy mandates) and
Autor:
Francisco X. Aguilar, Nianfu Song, Stephen R. Shifley, Michael E. Goerndt, H. E. \\'Hank\\' Stelzer, Patrick D. Miles
Publikováno v:
Journal of Forestry. 110:138-148
Woody biomass is a renewable energy feedstock with the potential to reduce current use of nonrenewable fossil fuels. We estimated the physical availability of woody biomass for cocombustion at coal-fired electricity plants in the 20-state US northern
Publikováno v:
Canadian Journal of Forest Research. 41:1189-1201
One of the challenges often faced in forestry is the estimation of forest attributes for smaller areas of interest within a larger population. Small-area estimation (SAE) is a set of techniques well suited to estimation of forest attributes for small
Publikováno v:
Western Journal of Applied Forestry. 25:105-111
Three sets of linear models were developed to predict several forest attributes, using stand-level and single-tree remote sensing (STRS) light detection and ranging (LiDAR) metrics as predictor variables. The first used only area-level metrics (ALM)
Autor:
Michael E. Goerndt, Carl W. Mize
Publikováno v:
Northern Journal of Applied Forestry. 25:82-86
There is increasing interest in producing woody biomass on marginal lands in Iowa, but there is little information about its economic feasibility. To address this issue, a study was initiated in 1995 to analyze growth of certain fast-growing tree spe