biomass

The estimation of greenhouse gas (GHG) emissions from a change in land-use and management resulting from growing biofuel feedstocks has undergone extensive – and often contentious – scientific and policy debate. Emergent renewable fuel policies require life cycle GHG emission accounting that includes biofuel-induced global land-use change (LUC) GHG emissions. However, the science of LUC generally, and biofuels-induced LUC specifically, is nascent and underpinned with great uncertainty. We critically review modeling approaches employed to estimate biofuel-induced LUC and identify major challenges, important research gaps, and limitations of LUC studies for transportation fuels. We found LUC modeling philosophies and model structures and features (e.g. dynamic vs. static model) significantly differ among studies. Variations in estimated GHG emissions from biofuel-induced LUC are also driven by differences in scenarios assessed, varying assumptions, inconsistent definitions (e.g. LUC), subjective selection of reference scenarios against which (marginal) LUC is quantified, and disparities in data availability and quality. The lack of thorough sensitivity and uncertainty analysis hinders the evaluation of plausible ranges of estimates of GHG emissions from LUC. The relatively limited fuel coverage in the literature precludes a complete set of direct comparisons across alternative and conventional fuels sought by regulatory bodies and researchers.

Improved modeling approaches, consistent definitions and classifications, availability of high-resolution data on LUC over time, development of standardized reference and future scenarios, incorporation of non-economic drivers of LUC, and more rigorous treatment of uncertainty can help improve LUC estimates in effectively achieving policy goals.

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. We also propose a mathematical model that can be used to design the supply chain and manage the logistics of a biorefinery. Supply chain-design decisions are long-term type of decisions; while logistics management involves medium to short-term decisions. The proposed model coordinates these decisions. The model determines the number, size and location of biorefineries needed to produce biofuel using the available biomass. The model also determines the amount of biomass shipped, processed and inventoried during a time period. Inputs to the model are the availability of biomass feedstock, as well as biomass transportation, inventory and processing costs. We use the State of Mississippi as the testing ground of this model.

Interest in using biomass feedstocks to produce power, liquid fuels, and chemicals in the U.S. is increasing. Central to determining the potential for these industries to develop is an understanding of the location, quantities, and prices of biomass resources. This paper describes the methodology used to estimate biomass quantities and prices for each state in the continental U.S. An Excel™ spreadsheet contains estimates of biomass quantities potentially available in five categories: mill wastes, urban wastes, forest residues, agricultural residues and energy crops. Availabilities are sorted by anticipated delivered price. A presentation that explains how this information was used to support the goal of increasing biobased products and bioenergy 3 times by 2010 expressed in Executive Order 13134 of August 12, 1999 is also available.
Originally available at https://bioenergy.ornl.gov/resourcedata/index.html (Accessed January 7, 2013).

National biomass feedstock assessments (Perlack et al., 2005; DOE, 2011) have focused on cellulosic biomass resources, and have not included potential algal feedstocks. Recent research (Wigmosta et al., 2011) provides spatially-­‐explicit information on potential algal biomass and oil yields, water use, and facility locations. Oak Ridge National Laboratory and Pacific Northwest National Lab are collaborating to integrate terrestrial and algal feedstock resource assessments. This poster describes preliminary results of this research.

This publication provides the summary and conclusions from the workshop ‘Developing Sustainable Trade in Bioenergy’ held in conjunction with the meeting of the Executive Committee of IEA Bioenergy in Nara City, Japan on 12 May 2010.

The purpose of the workshop was to provide perspectives on bioenergy trade in a world where there are progressively more quantitative targets for bioenergy deployment, including incentives for production of biofuels on a sustainable basis. The aim was to stimulate discussion between the Executive Committee and invited experts and thereby enhance the policy-oriented work within IEA Bioenergy.

This publication provides the summary and conclusions from the workshop ‘Thermal Pre-treatment of Biomass for Large-scale Applications’ held in conjunction with the meeting of the Executive Committee of IEA Bioenergy in York, United Kingdom, on 12 October 2010.

The purpose of the workshop was to provide perspectives on how to integrate large-scale bioenergy deployment with existing fuel logistics.

Provides a summary of the key findings of the IPCC Special Report on Renewable Energy Sources (SRREN) and Climate Change Mitigation.

In response to energy security concerns, alternative energy programs such as biomass energy systems are being
developed to provide energy in the 21st century. For the biomass industry to expand, a variety of feedstocks will need
to be utilized. Large scale production of bioenergy crops could have significant impacts on the United States agricultural
sector in terms of quantities, prices and production location of traditional crops as well as farm income. Though
a number of scenarios were examined to study the impact of bioenergy crop production on the agricultural sector, two
cropland scenarios are presented in this report. Under the wildlife management scenario, the analysis indicates that, at
$30/dry ton (dt) for switchgrass, $31.74/dt for willow and $32.90 for poplar, an estimated 19.4 million acres of
cropland (8.2 million from CRP) could be used to produce 96 million dry tons of bioenergy crops annually at a profit
greater than the profit created by existing uses for the land. In this scenario, traditional crop prices increase from 3
percent to 9 percent (depending on crop) and net farm income increases by $2.8 billion annually. At $40/dt of switchgrass,
$42.32/dt for willow and $43.87/dt for poplar and assuming the production management scenario, an estimated
41.9 million acres (12.9 million from CRP) could be used to produce 188 million dry tons of biomass annually. Under
this scenario, traditional crop prices increase by 8 to 14 percent and net farm income increases by $6 billion annually.

The IPCC SRREN report addresses information needs of policymakers, the private sector and civil society on the potential of renewable energy sources for the mitigation of climate change, providing a comprehensive assessment of renewable energy technologies and related policy and financial instruments. The IPCC report was a multinational collaboration and synthesis of peer reviewed information: Reviewed, analyzed, coordinated, and integrated current high quality information. The OBP International Sustainability activities contributed to the Bioenergy chapter, technology cost annex as well as lifecycle assessments and sustainability information.

Nationwide spatial dataset representing the polygon areas for first-generation suitability analysis of potentially suitable areas for microalgae open ponds. The PNNL microalgae growth model results for each site are included in the attribute table and assume growth based on theoretical limits. Sites represent a minimum mapping unit of 490 hectares. Land suitability included area less than or equal to 1% slope on non-agricultural, undeveloped or low‐density developed, nonsensitive, generally noncompetitive land was considered for microalgal culture facilities. Specifically, this excludes open water, urban areas, airports, cultivated cropland and orchards, federal and state protected areas such as national and state parks, wilderness areas, wildlife refuges, wetlands, and other areas that are deemed environmentally sensitive according to the 2009 World Database on Protected Areas.

Full details can be found in:

Wigmosta, M. S., A. M. Coleman, R. J. Skaggs, M. H. Huesemann, and L. J. Lane (2011), National microalgae biofuel production potential and resource demand, Water Resour. Res., 47, W00H04, doi:10.1029/2010WR009966.