A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed to determine the optimal number, location, and size of cellulose ethanol plants for North Dakota. The objective function of the model is to minimize processing cost of biomass for ethanol and the transportation cost of shipping biomass to processing plants and ethanol to blending facilities. A heuristic approach, combined with a spatial equilibrium model, was used to determine the optimal number, location and size of biomass processing plants
This paper addresses the optimal design and planning of cellulosic ethanol supply chains under econo...
Abstract: The rapid expansion of the ethanol industry brings forth a number of questions about its i...
This paper proposes a mixed integer linear program for determining economical biomass processing fac...
A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed t...
A mixed integer programming model is developed to determine a logistical design for maximizing rates...
A mixed-integer programming model is developed to assess the economic feasibility of siting a woody ...
While theoretically more efficient than starch-based ethanol production systems, conver-sion of lign...
A range of societal issues have been caused by fossil fuel consumption in the transportation sector ...
In this paper we have developed a Geographic Information Systems based model to support cellulosic e...
First generation biofuels have not achieved the expected greenhouse gas emission savings and the pro...
In developing an optimization framework to assist in the design process of biofuel systems, the econ...
Abstract This document presents an economic optimization model which identifies the location, the no...
The integration of ethanol production with combined heat and power plants is considered in this pape...
When the lignocellulosic biofuels industry reaches maturity and many types of biomass sources become...
To ensure effective biomass feedstock provision for large-scale biofuel production, an integrated bi...
This paper addresses the optimal design and planning of cellulosic ethanol supply chains under econo...
Abstract: The rapid expansion of the ethanol industry brings forth a number of questions about its i...
This paper proposes a mixed integer linear program for determining economical biomass processing fac...
A spatial equilibrium model based on a non-linear mathematical programming algorithm was developed t...
A mixed integer programming model is developed to determine a logistical design for maximizing rates...
A mixed-integer programming model is developed to assess the economic feasibility of siting a woody ...
While theoretically more efficient than starch-based ethanol production systems, conver-sion of lign...
A range of societal issues have been caused by fossil fuel consumption in the transportation sector ...
In this paper we have developed a Geographic Information Systems based model to support cellulosic e...
First generation biofuels have not achieved the expected greenhouse gas emission savings and the pro...
In developing an optimization framework to assist in the design process of biofuel systems, the econ...
Abstract This document presents an economic optimization model which identifies the location, the no...
The integration of ethanol production with combined heat and power plants is considered in this pape...
When the lignocellulosic biofuels industry reaches maturity and many types of biomass sources become...
To ensure effective biomass feedstock provision for large-scale biofuel production, an integrated bi...
This paper addresses the optimal design and planning of cellulosic ethanol supply chains under econo...
Abstract: The rapid expansion of the ethanol industry brings forth a number of questions about its i...
This paper proposes a mixed integer linear program for determining economical biomass processing fac...