KDF Search Results

The Targets IMage Energy Regional simulation model, TIMER, is described in detail. This model was developed and used in close connection with the Integrated Model to Assess the Global Environment (IMAGE) 2.2. The system-dynamics TIMER model simulates the global energy system at an intermediate level of aggregation. The model can be used on a stand-alone basis or integrated within the framework of the integrated assessment model IMAGE 2.2. The model simulates the world on the basis of 17 regions.

Large-scale modeling systems have long been viewed as potentially valuable tools for evaluating farm policy. They have received increased attention in recent years, in part because of the added complexity of U.S. farm programs and the fuller integration of the U.S. farm sector with nonfarm sectors and world agricultural commodity markets. Instability in the world economy, changed macroeconomic policies, credit and debt positions, and agricultural trade regulations have significant impacts on U.S. agriculture in the short run and more pronounced long-run implications.

T. Searchinger et al. propose "Fixing a critical climate accounting error" (Policy Forum, 23 October 2009, p. 527). We agree that greenhouse gas (GHG) emission accounting needs to be more comprehensive, but believe that Searchinger's proposal would make matters worse by increasing the complexity and uncertainty of calculations. Solutions must be practical and verifiable to be effective.

Abstract: To ensure effective biomass feedstock provision for large-scale ethanol production, a three-stage supply chain was proposed to include biomass supply sites, centralized storage and preprocessing (CSP) sites, and biorefi nery sites. A GIS-enabled biomass supply chain optimization model (BioScope) was developed to minimize annual biomass-ethanol production costs by selecting the optimal numbers, locations, and capacities of farms, CSPs, and biorefi neries as well as identifying the optimal biomass fl ow pattern from farms to biorefi neries.

An efficient and sustainable biomass feedstock production system is critical for the success of the biomass based energy sector. An integrated systems analysis framework to coordinate various feedstock production related activities is, therefore, highly desirable. This article presents research conducted towards the creation of such a framework.

Bioenergy has been recognized as an important source of energy that will reduce nation’s dependency on petroleum, and have a positive impact on the economy, environment, and society. Production of bioenergy is expected to increase. As a result, we foresee an increase in the number of biorefineries in the near future. This paper analyzes logistical challenges with supplying biomass to a biorefinery.

This document provides an overview of the National Bioenergy Routing model that is integrated within the Bioenergy KDF.

EXECUTIVE SUMMARY: Life cycle assessment (LCA) is a powerful tool that may be used to quantify the environmental impacts of products and services. It includes all processes, from cradle-to-grave, along the supply chain of the product. When analysing energy systems, greenhouse gas (GHG) emissions (primarily CO2, CH4 and N2O) are the impact of primary concern. In using LCA to determine the climate change mitigation benefits of bioenergy, the life cycle emissions of the bioenergy system are compared with the emissions for a reference energy system.

Transportation fuels are the major component of our energy portfolio. Of the 20 million barrels of petroleum consumed each day in the United States, 68 percent is used in the transportation sector. The Western states are in position to become key producers and beneficiaries in the emerging alternative-fuels economy. We have abundant resources that have great potential as domestic sources for transportation fuels.

The task of developing and evaluating strategies to reduce emissions of urban air pollutants and greenhouse gases is complicated. There are many ways to produce and use energy, many sources of emissions in an energy lifecycle, and several kinds of pollutants (or greenhouse gases) emitted at each source. An evaluation of strategies to reduce emissions of greenhouse gases must be broad, detailed, and systematic. It must encompass the full "lifecycle" of a particular technology or policy, and include all of the relevant pollutants and their effects.

This paper examines the impact of biofuel expansion on grain utilization and distribution at the state and cropping district level as most of grain producers and handlers are directly influenced by the local changes. We conducted a survey to understand the utilization and flows of corn, ethanol and its co-products, such as dried distillers grains (DDG) in Iowa. Results suggest that the rapidly expanding ethanol industry has a significant impact on corn utilization in Iowa.

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.

This article addresses development of the Illinois ethanol industry through the period 2007-2022, responding to the ethanol production mandates of the Renewable Fuel Standard by the U.S. Environmental Protection Agency. The planning for corn-based and cellulosic ethanol production requires integrated decisions on transportation, plant location, and capacity.

When the lignocellulosic biofuels industry reaches maturity and many types of biomass sources become economically viable, management of multiple feedstock supplies – that vary in their yields, density (tons per unit area), harvest window, storage and seasonal costs, storage losses, transport distance to the production plant – will become increasingly important for the success of individual enterprises. The manager’s feedstock procurement problem is modeled as a multi-period sequence problem to account for dynamic management over time.

Describes the KDF

The National Renewable Energy Laboratory (NREL) originally developed this application for biopower with funding from the Environmental Protection Agency's Blue Skyways Collaborative. The Department of Energy's Office of Biomass Program provided funding for biofuels functionality. More information on funding agencies is available: http://www.blueskyways.org and http://www.eere.energy.gov/biomass/.

Supply chain management involves all of the activities in industrial organizations from raw material procurement to final product delivery to customers. The main aim in supply chain management is to satisfy production requirements, while optimizing the economic objectives. In traditional fossil fuel supply chains, huge amounts of fossil fuels are transported via pipelines or tankers with very small costs. These fuels can be transformed into other sources of energy or transportation fuels at their destination points.

The Biomass and Bioenergy Research Group (BBRG) is a multi-department, multi-disciplinary team at the University of British Columbia in Vancouver, Canada. BBRG conducts innovative research in biomass densification, preprocessing, resource management, material characterization, and supply logisitcs. BBRG bridges the gap between biomass sourcing and biomass conversion, i.e. 'feedstock engineering' - integrating all the processes and management strategies involved from biomass harvest until just prior to final conversion to bioenergy, and bioproducts such as chemicals.

The use of Geographic Information Systems (GIS) for understanding the geographic context of bioenergy supplies is discussed and a regional-scale, GIS-based modeling system for estimating potential biomass supplies from energy crops is described. While GIS models can capture geographic variation that may in?uence biomass costs and supplies, GIS models are not likely to handle uncertainty well and are often limited by the lack of spatially explicit data.

The standard GTAP framework is documented in Global Trade Analysis: Modeling and Applications, T.W. Hertel (ed.), published in 1997 by Cambridge University Press.

This book is divided into 4 parts:
Introduction
Model structure, Data Base, and software
Selected applications
Evaluation of the framework