Biomass Energy Data Book: Edition 1

The Biomass Energy Data Book is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of the Biomass Program and the Office of Planning, Budget and Analysis in the Department of Energy's Energy Efficiency and Renewable Energy (EERE) program. Designed for use as a desk-top reference, the book represents an assembly and display of statistics and information that characterize the biomass industry, from the production of biomass feedstocks to their end use. This is the first edition of the Biomass Energy Data Book and is currently only available online in electronic format. There are five main sections to this book. The first section is an introduction which provides an overview of biomass resources and consumption. Following the introduction to biomass is a section on biofuels which covers ethanol, biodiesel and BioOil. The biopower section focuses on the use of biomass for electrical power generation and heating. The fourth section is about the developing area of biorefineries, and the fifth section covers feedstocks that are produced and used in the biomass industry. The sources used represent the latest available data. There are also three appendices which include measures of conversions, biomass characteristics and assumptions for selected tables and figures. A glossary of terms and a list of acronyms are also included for the reader's convenience

US billion-ton update: biomass supply for a bioenergy and bioproducts industry

The Report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of “potential” biomass within the contiguous United States based on numerous assumptions about current and future inventory and production capacity, availability, and technology. In the 2005 BTS, a strategic analysis was undertaken to determine if U.S. agriculture and forest resources have the capability to potentially produce at least one billion dry tons of biomass annually, in a sustainable manner—enough to displace approximately 30% of the country’s present petroleum consumption. To ensure reasonable confidence in the study results, an effort was made to use relatively conservative assumptions. However, for both agriculture and forestry, the resource potential was not restricted by price. That is, all identified biomass was potentially available, even though some potential feedstock would more than likely be too expensive to actually be economically available. In addition to updating the 2005 study, this report attempts to address a number of its shortcoming

Biomass Energy Data Book

The Biomass Energy Data Book is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Biomass Program in the Energy Efficiency and Renewable Energy (EERE) program of the Department of Energy (DOE). Designed for use as a convenient reference, the book represents an assembly and display of statistics and information that characterize the biomass industry, from the production of biomass feedstocks to their end use, including discussions on sustainability. This is the second edition of the Biomass Energy Data Book which is only available online in electronic format. There are five main sections to this book. The first section is an introduction which provides an overview of biomass resources and consumption. Following the introduction to biomass, is a section on biofuels which covers ethanol, biodiesel and bio-oil. The biopower section focuses on the use of biomass for electrical power generation and heating. The fourth section is on the developing area of biorefineries, and the fifth section covers feedstocks that are produced and used in the biomass industry. The sources used represent the latest available data. There are also four appendices which include frequently needed conversion factors, a table of selected biomass feedstock characteristics, assumptions for selected tables and figures, and discussions on sustainability. A glossary of terms and a list of acronyms are also included for the reader's convenience

Biofuel Feedstock Assessment for Selected Countries

Findings from biofuel feedstock production assessments and projections of future supply are presented and discussed. The report aims to improve capabilities to assess the degree to which imported biofuel could contribute to meeting future U.S. targets to reduce dependence on imported oil. The study scope was focused to meet time and resource requirements. A screening process identified Argentina, Brazil, Canada, China, Colombia, India, Mexico, and the Caribbean Basin Initiative (CBI) region for initial analysis, given their likely role in future feedstock supply relevant to U.S. markets. Supply curves for selected feedstocks in these countries are projected for 2012, 2017 and 2027. The supply functions, along with calculations to reflect estimated supplies available for export and/or biofuel production, were provided to DOE for use in a broader energy market allocation study. Potential cellulosic supplies from crop and forestry residues and perennials were also estimated for 2017 and 2027. The analysis identified capacity to potentially double or triple feedstock production by 2017 in some cases. A majority of supply growth is derived from increasing the area cultivated (especially sugarcane in Brazil). This is supplemented by improving yields and farming practices. Most future supplies of corn and wheat are projected to be allocated to food and feed. Larger shares of future supplies of sugarcane, soybean and palm oil production will be available for export or biofuel. National policies are catalyzing investments in biofuel industries to meet targets for fuel blending that generally fall in the 5-10% range. Social and environmental concerns associated with rapid expansion of feedstock production are considered. If the 2017 projected feedstock supply calculated as ‘available’ for export or biofuel were converted to fuel, it would represent the equivalent of about 38 billion gallons of gasoline. Sugarcane and bagasse dominate the available supply, representing 64% of the total. Among the nations studied, Brazil is the source of about two-thirds of available supplies, followed distantly by Argentina (12%), India and the CBI region

A preliminary assessment of the state of harvest and collection technology for forest residues

To meet the 'Twenty in Ten Initiative' goals set in the 2007 State of the Union address, forest resources will be needed as feedstocks for lignocellulosic ethanol production. It has been estimated that 368 million dry tons can be produced annually in the U.S. from logging residues and fuel treatment thinnings. Currently, very little of this woody biomass is used for energy production due to the costs and difficulty in collecting and transporting this material. However, minimizing biomass costs (including harvest, handling, transport, storage, and processing costs) delivered to the refinery is necessary to develop a sustainable cellulosic ethanol industry. Achieving this goal requires a fresh look at conventional timber harvesting operations to identify ways of efficiently integrating energy wood collection and developing cost-effective technologies to harvest small-diameter trees. In conventional whole-tree logging operations, entire trees are felled and skidded from the stump to the landing. The residues (also called slash), consisting of tops and limbs, accumulate at the landing when trees are delimbed. This slash can be ground at the landing with a mobile grinder or transported to another central location with a stationary grinder. The ground material is transported via chip vans, or possibly large roll on/off containers, to the user facility. Cut-to-length harvesting systems are gaining popularity in some locations. In these operations, specialized harvesters that can fall, delimb, and cut logs to length are used. The small diameter tops and limbs accumulate along the machine's track. It can be left in the forest to dry or removed soon after harvest while logs are extracted. Removing slash during the same operation as the wood has been shown to be more efficient. However, leaving residue in the forest to dry reduces moisture content, which improves grinder performance, reduces dry matter loss during storage, and inhibits colonization of fungi that produce harmful spores. In recent years, new machines that are specially designed for collection of small diameter wood have been developed in the U.S. and Europe. Residue bundlers and balers improve transportation and handling efficiency by densifying the material and packaging it so that it can be handled with conventional equipment. An experimental integrated harvester/grinder can fall small diameter trees and feed them into a grinder. The ground material is collected in a bin that can be dumped into a chip van. The harvester head is also capable of delimbing and bucking (cut into sections) small timber to be used for pulp and posts. Limitations of these new technologies are their large capital costs and complexity, leading to high maintenance costs and the need for highly trained operators. To ensure that quality feedstock materials consistently enter the mouth of the refinery, the uniform format supply system concept proposes that feedstock diversity be managed at harvest, much like the current grain supply system. This allows for standardization of key infrastructure components and facilitation of a biomass commodity system. Challenges in achieving a uniform woody biomass supply include, but are not limited to, developing machines for efficient harvest of small-diameter trees in a range of topographies and conditions, developing machines and operating plans for grinding biomass as near to the stump as possible, developing cost-effective drying strategies to reduce losses and mold growth during wood chip storage, and quantifying environmental impacts of slash removal and fuel thinnings to aid landowner decisions and policy development

U.S. Billion-ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry

The Report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of “potential” biomass within the contiguous United States based on numerous assumptions about current and future inventory and production capacity, availability, and technology. In the 2005 BTS, a strategic analysis was undertaken to determine if U.S. agriculture and forest resources have the capability to potentially produce at least one billion dry tons of biomass annually, in a sustainable manner—enough to displace approximately 30% of the country’s present petroleum consumption. To ensure reasonable confidence in the study results, an effort was made to use relatively conservative assumptions. However, for both agriculture and forestry, the resource potential was not restricted by price. That is, all identified biomass was potentially available, even though some potential feedstock would more than likely be too expensive to actually be economically available. In addition to updating the 2005 study, this report attempts to address a number of its shortcoming

MULTIPLE OBJECTIVE DECISION MAKING: GENERATING TECHNIQUES OR GOAL PROGRAMMING?

Two approaches to formal multiple objective decision analysis are described , illustrated and compared. These two approaches, generating techniques and goal programming, are illustrated by the solution of a simple numerical example. This solution combined with some lessons from the field of psychology provide a basis for some judgments on the relative merits of the approaches

MULTICOLLINEARITY: EFFECTS, SYMPTOMS, AND REMEDIES

Multicollinearity is one of several problems confronting researchers using regression analysis. This paper examines the regression model when the assumption of independence among Ute independent variables is violated. The basic properties of the least squares approach are examined, the concept of multicollinearity and its consequences on the least squares estimators are explained. The detection of multicollinearity and alternatives for handling the problem are then discussed. The alternative approaches evaluated are variable deletion, restrictions on the parameters, ridge regression and Bayesian estimation