TY - JOUR
T1 - Using spatial information technologies to select sites for biomass power plants
T2 - A case study in Guangdong Province, China
AU - Shi, Xun
AU - Elmore, Andrew
AU - Li, Xia
AU - Gorence, Nathaniel J.
AU - Jin, Haiming
AU - Zhang, Xiaohao
AU - Wang, Fang
PY - 2008/1
Y1 - 2008/1
N2 - Biomass is distributed over extensive areas. Therefore, transportation cost is a critical factor in planning new biomass power plants. This paper presents a case study of using remote sensing and geographical information systems (GIS) to evaluate the feasibility of setting up new biomass power plants and optimizing the locations of plants in Guangdong, China. In this study, the biologically available biomass was estimated from MODIS/Terra remote sensing data. The amount of biomass that is usable for energy production was then derived using a model incorporating factors including vegetation type, ecological retaining, economical competition, and harvest cost. GIS was employed to define the supply area of each candidate site based on transportation distance along roads. The amount of usable biomass within the supply area was calculated and optimal sites were identified accordingly. This study presents a procedural framework for taking advantage of spatial information technologies to achieve more scientific planning in bioenergy power plant construction.
AB - Biomass is distributed over extensive areas. Therefore, transportation cost is a critical factor in planning new biomass power plants. This paper presents a case study of using remote sensing and geographical information systems (GIS) to evaluate the feasibility of setting up new biomass power plants and optimizing the locations of plants in Guangdong, China. In this study, the biologically available biomass was estimated from MODIS/Terra remote sensing data. The amount of biomass that is usable for energy production was then derived using a model incorporating factors including vegetation type, ecological retaining, economical competition, and harvest cost. GIS was employed to define the supply area of each candidate site based on transportation distance along roads. The amount of usable biomass within the supply area was calculated and optimal sites were identified accordingly. This study presents a procedural framework for taking advantage of spatial information technologies to achieve more scientific planning in bioenergy power plant construction.
KW - Biomass estimation
KW - Geographical information systems
KW - Remote sensing
KW - Site selection
KW - Supply area
KW - Transportation cost
UR - https://www.scopus.com/pages/publications/37249048289
U2 - 10.1016/j.biombioe.2007.06.008
DO - 10.1016/j.biombioe.2007.06.008
M3 - 文章
AN - SCOPUS:37249048289
SN - 0961-9534
VL - 32
SP - 35
EP - 43
JO - Biomass and Bioenergy
JF - Biomass and Bioenergy
IS - 1
ER -
