Ethanol production is increasingly commonplace in many grain producing regions. This paper uses the grain producing region of Western Australia as a case study to illustrate how the location and size of an ethanol plant affects its grain accumulation costs. Specifically, this study examines how price variability of various wheat grades, combined with spatial and temporal variability in production of those grades affects the costs of grain accumulation for ethanol production. These costs are the main component of a plant's operating costs so lessening these costs can offer a comparative advantage for a plant owner. Logistics models' based on mathematical programming were constructed to depict a range of plant sizes and locations for ethanol ...
Contrary to developments in other parts of the world, South Africa has not developed a bio-ethanol i...
The farmgate cost and available supply of biomass often exhibit considerable variation within a Stat...
A mixed integer programming model is developed to determine a logistical design for maximizing rates...
Ethanol production is increasingly commonplace in many grain producing regions. This paper uses the ...
A considerable number of farmer-owned ethanol plants have been built in the past few years, with man...
First generation ethanol production has experienced rapid expansion but is now at a crossroads facin...
We have calculated energy and economic balance for three sizes of ethanol-for-grain plants: 1) Singl...
A changing world of increasing complexity, fluctuating prices, high energy costs and limited data ne...
Abstract: The rapid expansion of the ethanol industry brings forth a number of questions about its i...
Government subsidies have fuelled proposals for new ethanol projects that plan to use Australian gra...
A mixed-integer programming model is developed to assess the economic feasibility of siting a woody ...
This study inquires into the spatial welfare impacts of a grain ethanol plant established in an area...
Non-Peer ReviewedA renewed interest in ethanol production in North America is occurring because of: ...
The ethanol industry in Western Canada has seen significant growth in recent times spurred on mainly...
This paper compares the energy content of ethanol derived from Australia’s annual production of suga...
Contrary to developments in other parts of the world, South Africa has not developed a bio-ethanol i...
The farmgate cost and available supply of biomass often exhibit considerable variation within a Stat...
A mixed integer programming model is developed to determine a logistical design for maximizing rates...
Ethanol production is increasingly commonplace in many grain producing regions. This paper uses the ...
A considerable number of farmer-owned ethanol plants have been built in the past few years, with man...
First generation ethanol production has experienced rapid expansion but is now at a crossroads facin...
We have calculated energy and economic balance for three sizes of ethanol-for-grain plants: 1) Singl...
A changing world of increasing complexity, fluctuating prices, high energy costs and limited data ne...
Abstract: The rapid expansion of the ethanol industry brings forth a number of questions about its i...
Government subsidies have fuelled proposals for new ethanol projects that plan to use Australian gra...
A mixed-integer programming model is developed to assess the economic feasibility of siting a woody ...
This study inquires into the spatial welfare impacts of a grain ethanol plant established in an area...
Non-Peer ReviewedA renewed interest in ethanol production in North America is occurring because of: ...
The ethanol industry in Western Canada has seen significant growth in recent times spurred on mainly...
This paper compares the energy content of ethanol derived from Australia’s annual production of suga...
Contrary to developments in other parts of the world, South Africa has not developed a bio-ethanol i...
The farmgate cost and available supply of biomass often exhibit considerable variation within a Stat...
A mixed integer programming model is developed to determine a logistical design for maximizing rates...