Influence of rural population density on the transportation cost of biomass combined heat and power plants
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Influence of rural population density on the transportation cost of biomass combined heat and power plants
Vol. 51, Issue 10, Pages: 157-163(2019)
作者机构:
1. 寒地城乡人居环境科学与技术工业和信息化部重点实验室(哈尔滨工业大学),哈尔滨,150001
2. Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology (Harbin Institute of Technology),Harbin,China,150001
ZHANG Yifei, MA Keni. Influence of rural population density on the transportation cost of biomass combined heat and power plants[J]. 2019, 51(10): 157-163.
DOI:
ZHANG Yifei, MA Keni. Influence of rural population density on the transportation cost of biomass combined heat and power plants[J]. 2019, 51(10): 157-163.DOI: 10.11918/j.issn.0367-6234.201808126.
Influence of rural population density on the transportation cost of biomass combined heat and power plants
Biomass combined heat and power (CHP) plants have higher energy efficiency than biomass power plants. They can meet the demand of heating in winter
and they are more suitable for cold regional village and town system to develop biomass energy. However
such development is limited by cost
especially operation cost
and transportation cost. In order to achieve the research purpose of improvingTo improve the transportation cost of biomass CHP plants according to rural population density data in the research area
the GIS analysis tool of network analysis
adjacent points
overlay analysis
as well as and other methods on the basis of the distribution status of different crops biomass potential are used and position and service area relying on the population distribution and biomass CHP plants’ energy demand data are determined. In the meantime
the raw material supply area of the biomass CHP plants and the transportation cost were calculated
which contains a variety of charges
fuel consumption
and traffic interference factors of the formula
and then regional scale optimization of transportation paths was obtained. Results show that biomass CHP plants are only suitable for low population density villages and towns systems according to the assumption of energy being completely self-sufficient. The supply area presented an inversed S curve pattern as rural population density increased
and transport costs presented an exponential curve pattern as rural population density increased. The overall operating efficiency of the biomass CHP plants was higher when the rural population density was not more than 65 people/km2.