Feedstock Harvesting and Preprocessing
Abstract: The success of the bioenergy sector depends significantly on ensuring
efficient and sustainable biomass feedstock production and provision, which requires
a comprehensive systems theory based approach. BioFeed is a system-level model that
has been proposed to optimize the feedstock production and provision activities. It has
been applied in the past to study switchgrass production in Illinois. This work presents
recent additions to the BioFeed model to enable a more accurate representation of
Agricultural markets often feature significant transport costs and spatially distributed production and processing which causes spatial imperfect competition. Spatial economics considers the firms’ decisions regarding location and spatial price strategy separately, usually on the demand side, and under restrictive assumptions. Therefore, alternative approaches are needed to explain, e.g., the location of new ethanol plants in the U.S. at peripheral as well as at central locations and the observation of different spatial price strategies in the market.
A GIS-based methodology for highlighting fuelwood supply/ demand imbalances at the local level: A case study for Central Mexico
When fuelwood is harvested at a rate exceeding natural growth and inefficient conversion technologies are used, negative environmental and socio-economic impacts, such as fuelwood shortages, natural forests degradation and net GHG emissions arise. In this study, we argue that analyzing fuelwood supply/demand spatial patterns require multiscale approaches to effectively bridge the gap between national results with local situations.
The GTAP Land Use Data Base and the GTAPE-AEZ Model: Incorporating Agro-Ecologically Zoned Land Use Data and Land-based Greenhouse Gases Emissions into the GTAP Framework
The paper describes the new GTAP land use (LU) data base constructed via the funding form the United States Environmental Protection Agency (US-EPA). The GTAP LU data base is the output from the collaboration between GTAP center, University of Wisconsin-Madison, and the Ohio State University. We also present the GTAPE-AEZ model, which illustrates how land use and land-based emissions can be incorporated in the CGE framework for Integrated Assessment (IA) of climate change policies.
This paper describes a methodology to explore the (future) spatial distribution of biofuel crops in Europe. Two main types of biofuel crops are distinguished: biofuel crops used for the production of biodiesel or bioethanol, and second-generation biofuel crops. A multiscale, multi-model approach is used in which biofuel crops are allocated over the period 2000?2030. The area of biofuel crops at the national level is determined by a macroeconomic model. A spatially explicit land use model is used to allocate the biofuel crops within the countries.