Journal ArticleDOI
A GIS-based method for identifying the optimal location for a facility to convert forest biomass to biofuel
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TLDR
In this paper, a two-stage methodology is introduced to identify the best location for biofuel production based on multiple attributes, such as fuel price, transportation distance, and pulpwood availability.Abstract:
There is growing interest in the production of biofuels from woody biomass. Critical to the financial success of producing biofuel is identifying the optimal location for the facility. The location decision is especially important for woody biomass feedstock owing to the distributed nature of biomass and the significant costs associated with transportation. This study introduces a two-stage methodology to identify the best location for biofuel production based on multiple attributes. Stage I uses a Geographic Information System approach to identify feasible biofuel facility locations. The approach employs county boundaries, a county-based pulpwood distribution, a population census, city and village distributions, and railroad and state/federal road transportation networks. In Stage II, the preferred location is selected using a total transportation cost model. The methodology is applied to the Upper Peninsula of Michigan to locate a biofuel production facility. Through the application of the two-stage methodology, the best possible location for biofuel production was identified as the Village of L’anse in Baraga County. Also investigated are the sensitivity of transportation cost and the optimal site for biofuel production to changes in several key variables. These additional variables included fuel price, transportation distance, and pulpwood availability. By applying sensitivity analysis based on limited availability of feedstock, the City of Ishpeming emerged as another viable location for the production facility.read more
Citations
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Journal ArticleDOI
Barriers of commercial power generation using biomass gasification gas: A review
TL;DR: In this article, the effects of parameters in supply chain management, pretreatment and conversion of biomass to gas, and cleaning and utilization of gas for power generation are discussed, and the authors highlight the barriers in each of the steps from the collection of the biomass to electricity generation.
Journal ArticleDOI
Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review
TL;DR: An overview of the optimisation methods and models focussing on decisions regarding the design and management of the upstream segment of the biomass-for-bioenergy supply chain is given in this paper.
Journal ArticleDOI
Global challenges in the sustainable development of biomass gasification: An overview
TL;DR: In this article, the authors highlighted various barriers to the technology, such as challenges with biomass supply chain management, biomass pretreatment, generic shortcomings, gas conditioning and conversion technology have been highlighted.
Journal ArticleDOI
Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions
TL;DR: In this article, the authors provide a comprehensive review and classification of the excising literature in modeling of biomass supply chain operations while linking them to the wider strategic challenges and issues with the design, planning and management of the biomass supply chains.
Journal ArticleDOI
Optimization classification, algorithms and tools for renewable energy: A review
Muhammad Iqbal,Muhammad Azam,Muhammad Naeem,Muhammad Naeem,Ahmed Shaharyar Khwaja,Alagan Anpalagan +5 more
TL;DR: This paper presents a review of different optimization methods for deployment and operation of renewable energy sources based generating units, and presents different types of linear and non-linear optimization algorithms used in renewableEnergy sources.
References
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ReportDOI
Biomass as Feedstock for A Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply
Robert D. Perlack,Lynn L. Wright,Anthony F Turhollow Jr,Robin L. Graham,Bryce J. Stokes,Donald C Erbach +5 more
TL;DR: The U.S. Department of Energy and the United States Department of Agriculture have both strongly committed to expanding the role of biomass as an energy source as mentioned in this paper, and they support biomass fuels and products as a way to reduce the need for oil and gas imports; to support the growth of agriculture, forestry, and rural economies; and to foster major new domestic industries making a variety of fuels, chemicals, and other products.
Journal ArticleDOI
Fuzzy group decision-making for facility location selection
TL;DR: The aim of the paper is to solve facility location problems using different solution approaches of fuzzy multi-attribute group decision-making, including a fuzzy model of group decision proposed by Blin and Yager's weighted goals method.
Journal ArticleDOI
Development and implementation of integrated biomass supply analysis and logistics model (IBSAL)
TL;DR: In this article, the authors describe the framework development of a dynamic integrated biomass supply analysis and logistics model (IBSAL) to simulate the collection, storage, and transport operations for supplying agricultural biomass to a biorefinery.
Journal ArticleDOI
Aessessment of biomass potential for power production: a GIS based method
TL;DR: In this article, a GIS decision support system (DSS) was developed to identify the geographic distribution of the economically exploited biomass potential in Crete, where the main parameters that affect the location and number of bioenergy conversion facilities are plant capacity and spatial distribution of available biomass potential.
Journal ArticleDOI
Improvement and Comparison of Heuristics for Solving the Uncapacitated Multisource Weber Problem
TL;DR: It is found that most traditional and some recent heuristics give poor results when the number of facilities to locate is large and that Variable Neighbourhood search gives consistently best results, on average, in moderate computing time.