Investments in bio-energies require deep and accurate analysis to evaluate their economical feasibility both by the investors＇ and the policy makers＇ perspectives. The chance to attain locally organized supply chain...Investments in bio-energies require deep and accurate analysis to evaluate their economical feasibility both by the investors＇ and the policy makers＇ perspectives. The chance to attain locally organized supply chains is presumably higher where there is a higher concentration of human, natural and financial capitals. After a literature review about social capital and energy supply chain （prg. 1）, we investigate the instruments for public direct financial incentive （prg. 2） and the development of the public intervention plans in the agro-energy sector within the Local Development Plans （LDP） by Local Action Groups （LAG）. Then, we present the case study of the Apulia Region （prg. 3） based upon a unique dataset, specifically built that collects LDP data relative to social capital. We finally propose a new methodological approach that makes use of social network analysis investigating the net of relationships underneath the territorial organization of the LAGs and the local supply chains. Results seem to show that site specificities affect the sustainability of biofuels supply chains, and that effect seems to be reciprocally bounded, thus calling for the inclusion of such measures when planning new policies, and for analytical approaches encompassing historical perspectives. Finally, we draw the conclusions.展开更多
This paper presents a life cycle assessment(LCA) based biofuel supply chain(SC) analysis framework which enables the study of economic, energy and environmental(3E) performances by using multi-objective optimization. ...This paper presents a life cycle assessment(LCA) based biofuel supply chain(SC) analysis framework which enables the study of economic, energy and environmental(3E) performances by using multi-objective optimization. The economic objective is measured by the total annual profit, the energy objective is measured by the average fossil energy(FE) inputs per MJ biofuel and the environmental objective is measured by greenhouse gas(GHG) emissions per MJ biofuel. A multi-objective linear fractional programming(MOLFP) model with multi-conversion pathways is formulated based on the framework and is solved by using the ε-constraint method. The MOLFP problem is turned into a mixed integer linear programming(MILP) problem by setting up the total annual profit as the optimization objective and the average FE inputs per MJ biofuel and GHG emissions per MJ biofuel as constraints. In the case study, this model is used to design an experimental biofuel supply chain in China. A set of the weekly Pareto optimal solutions is obtained. Each non-inferior solution indicates the optimal locations and the amount of biomass produced, locations and capacities of conversion factories, locations and amount of biofuel being supplied in final markets and the flow of mass through the supply chain network(SCN). As the model reveals trade-offs among 3E criteria, we think the framework can be a good support tool of decision for the design of biofuel SC.展开更多
文摘Investments in bio-energies require deep and accurate analysis to evaluate their economical feasibility both by the investors＇ and the policy makers＇ perspectives. The chance to attain locally organized supply chains is presumably higher where there is a higher concentration of human, natural and financial capitals. After a literature review about social capital and energy supply chain （prg. 1）, we investigate the instruments for public direct financial incentive （prg. 2） and the development of the public intervention plans in the agro-energy sector within the Local Development Plans （LDP） by Local Action Groups （LAG）. Then, we present the case study of the Apulia Region （prg. 3） based upon a unique dataset, specifically built that collects LDP data relative to social capital. We finally propose a new methodological approach that makes use of social network analysis investigating the net of relationships underneath the territorial organization of the LAGs and the local supply chains. Results seem to show that site specificities affect the sustainability of biofuels supply chains, and that effect seems to be reciprocally bounded, thus calling for the inclusion of such measures when planning new policies, and for analytical approaches encompassing historical perspectives. Finally, we draw the conclusions.
基金Supported by the Chinese Academy of Engineering(20121667845)
文摘This paper presents a life cycle assessment(LCA) based biofuel supply chain(SC) analysis framework which enables the study of economic, energy and environmental(3E) performances by using multi-objective optimization. The economic objective is measured by the total annual profit, the energy objective is measured by the average fossil energy(FE) inputs per MJ biofuel and the environmental objective is measured by greenhouse gas(GHG) emissions per MJ biofuel. A multi-objective linear fractional programming(MOLFP) model with multi-conversion pathways is formulated based on the framework and is solved by using the ε-constraint method. The MOLFP problem is turned into a mixed integer linear programming(MILP) problem by setting up the total annual profit as the optimization objective and the average FE inputs per MJ biofuel and GHG emissions per MJ biofuel as constraints. In the case study, this model is used to design an experimental biofuel supply chain in China. A set of the weekly Pareto optimal solutions is obtained. Each non-inferior solution indicates the optimal locations and the amount of biomass produced, locations and capacities of conversion factories, locations and amount of biofuel being supplied in final markets and the flow of mass through the supply chain network(SCN). As the model reveals trade-offs among 3E criteria, we think the framework can be a good support tool of decision for the design of biofuel SC.
