Economic Optimization Of Forest Biomass Processing And Transport

An economic analysis and optimization of forest biomass processing and transportation at the operational level is presented. Renewable sources of energy have captured the interest of public and private institutions to develop cost-effective supply chains to reduce dependence on fossil fuels. The production of energy from forest harvest residues constitutes an opportunity to develop a supply chain for producing heat, electricity and liquid fuels from renewable materials. Special interest has been directed to the production of aviation fuel given the characteristics of the commercial aircraft technology that cannot use other renewable sources such as electricity, nuclear power or wind turbines. In economic terms, the production of energy from forest harvest residues at actual market prices requires efficient cost management and planning in order to compete with traditional fossil fuel supply chains. Efficient cost management requires an understanding of the operational stages in order to propose alternatives to improve the planning process, reduce costs, and increase the chance of success of this emerging supply chain. The main goal of this study is to improve cost-efficiency of an emerging energy supply chain from forest harvest residues. A general objective is the economic optimization of forest biomass processing and transportation at the operational level. We developed a model and frame-work to analyze the economics of forest biomass processing and transportation using mixed integer programming (MIP), simulation, Geographic Information Systems (GIS) and forest operation analysis. We developed an economic costing model that accounts for the cost of machinery and truck waiting time. The study is primarily focused on difficult access steep-land regions although it can also be applied to areas with less restricted road access. A stochastic discrete-event simulation model was developed to estimate cost management strategies to improve economics of mobile chipping operations and analyze the effect of uncertainty in this type of operation. The model was successful in predicting productivity of actual forest biomass recovery operations. The model also allowed analyzing the economic effect of truck-machine interactions when using mobile equipment to process the forest residues With stationary processing equipment, the economic effect of truck-machine interactions on closely coupled operations was analyzed through a simulation model. It was demonstrated that truck-machine interactions affect machine utilization rates and, thus, the economics of the operation. Truck-machine interaction must be accounted for when analyzing forest recovery operations to avoid inaccurate cost estimation. Finally a mathematical solution procedure based on mixed integer programming, GIS and simulation was developed to support planning decisions in forest biomass recovery operations, including economic modeling of the effect of waiting times. The solution procedure was incorporated in the decision support system, Residue Evaluation and Network Optimization (RENO) developed in JAVA platform. The decision support system was demonstrated to be an accurate and effective tool to estimate the most cost effective processing machinery and transport configuration given road access, material physical properties, spatial location of the residue piles and accounting for truck-machine interactions. Additionally, an Ant Colony heuristic is included in the model to bring support to the MIP branch and bound solution method by providing an initial solution for objective function. The model is also flexible to user changes to allow the analyst to analyze the sensitivity of the results to main production variables.

Lord Rutherford has said that all science is either physics or stamp collecting. On that basis the study of forest biomass must be classified with stamp collecting and other such pleasurable pursuits. Japanese scientists have led the world, not only in collecting basic data, but in their attempts to systematise our knowledge of forest biomass. They have studied factors affecting dry matter production of forest trees in an attempt to approach underlying phYf'ical principles. This edition of Professor Satoo's book has been made possible the help of Dr John F. Hosner and the Virginia Poly technical Institute and State University who invited Dr Satoo to Blacksburg for three months in 1973 at about the time when he was in the final stages of preparing the Japanese version. Since then the explosion of world literature on forest biomass has continued to be fired by increasing shortages of timber supplies in many parts of the world as well as by a need to explore renewable sources of energy. In revising the original text I have attempted to maintain the input of Japanese work - much of which is not widely available outside Japan - and to update both the basic information and, where necessary, the conclusions to keep them in tune with current thinking. Those familiar with the Japanese original will find Chapter 3 largely rewritten on the basis of new work - much of which was initiated while Dr Satoo was in Blacksburg.

Growing awareness and concern within society over the use of and reliance on fossil fuels has stimulated research efforts in identifying, developing, and selecting alternative energy sources and energy technologies. Bioenergy represents a promising replacement for conventional energy, due to reduced environmental impacts and broad applicability. Sustainable energy challenges, however, require innovative manufacturing technologies and practices to mitigate energy and material consumption. This research aims to facilitate sustainable production of bioenergy from forest biomass and to promote deployment of novel processing equipment such as transportable biorefineries. The study integrates knowledge from the renewable energy production and supply chain management disciplines to evaluate economic and environmental targets of bioenergy production with the use of the multi-criteria decision making approach. The presented approach herein includes qualitative and quantitative methods to address the existing challenges and gaps in the bioenergy manufacturing system. The qualitative method employs decision tree analysis to classify the potential biomass harvesting sites, considering biomass quality and availability. The quantitative method proposes mathematical models to optimize the upstream and midstream biomass-tobioenergy supply chain cost, using mixed bio-refinery modes (transportable and fixed) and transportation pathways (traditional and new). The supply chain environmental impacts are assessed by considering the carbon footprint of the harvesting, collection, size reduction, transportation activities, and bio-refinery processing. While transportable bio-refineries are shown to reduce biomass-to-bioenergy supply chain costs, production and deployment of transportable bio-refineries are limited due to operational challenges associated with undeveloped mixed-mode bioenergy supply chains, as well as supply uncertainty. A case study for northwest Oregon, USA is undertaken using actual data to verify the proposed approach.

With rising fuel costs and enhanced environmental concerns, the use of renewable energy has been steadily considered and widely expounded as a solution to the challenges of global energy security and climate change. The use of woody biomass, in particular, has received considerable attention for energy production due to the potential availability of large volumes from fuel reduction thinning operations and healthy forest restoration plans. However, woody biomass utilization is not as economically attractive as fossil fuel due to the high production and transportation costs compared to the relatively low market values of these materials. Therefore, identifying or developing cost effective production and transportation systems has become an economically critical issue to expand biomass utilization. In woody biomass production, the transportation of wood raw materials from the sources to the conversion facilities is the largest single component of production costs for many suppliers around the world. Therefore, small increases in transportation efficiency could significantly reduce the overall production costs. The purpose of this study was to provide new knowledge which leads to improvements in the economic feasibility of using woody biomass for energy through reductions in transportation costs. This dissertation: [1] Developed prediction models to estimate the travel times including terminal (loading and unloading) times to haul woody biomass from non-forest sources to conversion facilities in western Oregon and determined the effects of off-forest road classes on transportation times and costs. The travel time prediction model developed was shown to be a good predictor for travel time through a validation procedure. The average percent difference between actual and predicted travel times was only 6 percent. [2] Developed a computer model, named BIOTRANS, to estimate the biomass transportation productivity and cost and evaluated the effects on transportation costs of different truck configurations, transported material types, and travel route characteristics. Different truck configurations and transported material types significantly affected transportation costs. A 4 axle truck and single trailer was the most cost efficient hauling configuration for the conditions studied and shavings have 30 percent higher trucking costs than other material types. [3] Developed an optimization model to solve a truck scheduling problem for transporting four types of woody biomass in western Oregon. For an actual 50-load order size, the truck scheduling model produced significant improvements in solution values within 18 seconds. The average reductions in transportation cost and total travel time were 18% and 15%, respectively. [4] Reviewed collaborative management systems and described the potential implementation of collaborative transportation management in the woody biomass transportation industry.

Modeling and Optimization of Biomass Supply Chains: Top Down and Bottom Up Assessment for Agricultural, Forest and Waste Feedstock provides scientific evidence for assessing biomass supply and logistics, placing emphasis on methods, modeling capacities, large data collection, processing and storage. The information presented builds on recent relevant research work from the Biomass Futures, Biomass Policies and S2Biom projects. In addition to technical issues, the book covers the economic, social and environmental aspects with direct implications on biomass availability. Its chapters offer an overview of methodologies for assessing and modeling supply, biomass quality and requirements for different conversion processes, logistics and demand for biobased sectors. Case studies from the projects that inspire the book present practical examples of the implementation of these methodologies. The authors also compare methodologies for different regions, including Europe and the U.S. Biomass feedstock-specific chapters address the relevant elements for forest, agriculture, biowastes, post-consumer wood and non-food crops. Engineers in the bioenergy sector, as well as researchers and graduate students will find this book to be a very useful resource when working on optimization and modeling of biomass supply chains. For energy policymakers, analysts and consultants, the book provides consistent and technically sound projections for policy and market development decisions. Provides consistent ratios and indicators for assessing biomass supply and its logistical component Explores assumptions behind the assessment of different types of biomass, including key technical and non-technical factors Presents the existing modeling platforms, their input requirements and possible output projections

This book provides different aspects on fuel processing and refinery for energy generation. Most updated research findings along with case studies, real scenario examples, and extensive analyses of original research work and literature reviews is included in this book.

This book explains forest and woody biomass harvest, harvesting machines, systems, logistics, supply chain management, best management practices, harvest scheduling and carbon sequestration. It also covers applications of harvesting principles in forest and biomass management practices. The book provides an in-depth understanding of functions and applications of current and future harvesting technologies, the unique characteristics of harvesting machine with respect to cost, productivity, and environmental impacts. Special features include harvest machine illustrations and images of field operations, tabular presentations of filed studies of forest operations and detailed modelling processes for forest and biomass harvest logistics and supply chain management. Specifically, the book is designed for students, researchers, educators, and practitioners in the field of forest and biomass harvest and logistics. The book’s contents have been tested in teaching as the Harvesting Forest Product class for undergraduates and graduates in the Division of Forestry and Natural Resources at West Virginia University since 2000. The information contained in this book is a robust reference resource for students who would be future forest and biomass managers, timber contractors, entrepreneurs, researchers, and educators in the fields of forest and biomass operations, engineering, and resource management.

The success of lignocellulosic biofuels and biochemical industries depends upon an economic and reliable supply of quality biomass. However, research and development efforts have historically focused on the utilization of agriculturally-derived, cellulosic feedstocks without consideration of their low energy density, high variations in physical and chemical characteristics and potential supply risks in terms of availability and affordability. This Research Topic will explore strategies that enable supply chain improvements in biomass quality and consistency through blending, preprocessing, diversity and landscape design for development of conversion-ready, lignocellulosic feedstocks for production of biofuels and bio-products. Biomass variability has proven a formidable challenge to the emerging biorefining industry, impeding continuous operation and reducing yields required for economical production of lignocellulosic biofuels at scale. Conventional supply systems lack the preprocessing capabilities necessary to ensure consistent biomass feedstocks with physical and chemical properties that are compatible with supply chain operations and conversion processes. Direct coupling of conventional feedstock supply systems with sophisticated conversion systems has reduced the operability of biorefining processes to less than 50%. As the bioeconomy grows, the inherent variability of biomass resources cannot be managed by passive means alone. As such, there is a need to fully recognize the magnitude of biomass variability and uncertainty, as well as the cost of failing to design feedstock supply systems that can mitigate biomass variability and uncertainty. A paradigm shift is needed, from biorefinery designs using raw, single-resource biomass, to advanced feedstock supply systems that harness diverse biomass resources to enable supply chain resilience and development of conversion-ready feedstocks. Blending and preprocessing (e.g., drying, sorting, sizing, fractionation, leaching, densification, etc.) can mitigate variable quality and performance in diverse resources when integrated with downstream conversion systems. Decoupling feedstock supply from biorefining provides an opportunity to manage supply risks and incorporate value-added upgrading to develop feedstocks with improved convertibility and/ or market fungibility. Conversion-ready feedstocks have undergone the required preprocessing to ensure compatibility with conversion and utilization prior to delivery at the biorefinery and represent lignocellulosic biomass with physical and chemical properties that are tailored to meet the requirements of industrially-relevant handling and conversion systems.

This book provides a global perspective on the various issues that the industry has to face as well as to provide some key global strategies that can help coping with those global challenges, such as collaboration, strategic value chain planning, and interdependency analyses. It presents literature reviews, strategic research orientations, assessment of some current key issues, and state-of-the-art methodologies.

Biomass Supply Chains for Bioenergy and Biorefining highlights the emergence of energy generation through the use of biomass and the ways it is becoming more widely used. The supply chains that produce the feedstocks, harvest, transport, store, and prepare them for combustion or refinement into other forms of fuel are long and complex, often differing from feedstock to feedstock. Biomass Supply Chains for Bioenergy and Biorefining considers every aspect of these supply chains, including their design, management, socioeconomic, and environmental impacts. The first part of the book introduces supply chains, biomass feedstocks, and their analysis, while the second part looks at the harvesting, handling, storage, and transportation of biomass. The third part studies the modeling of supply chains and their management, with the final section discussing, in minute detail, the supply chains involved in the production and usage of individual feedstocks, such as wood and sugar starches, oil crops, industrial biomass wastes, and municipal sewage stocks. Focuses on the complex supply chains of the various potential feedstocks for biomass energy generation Studies a wide range of biomass feedstocks, including woody energy crops, sugar and starch crops, lignocellulosic crops, oil crops, grass crops, algae, and biomass waste Reviews the modeling and optimization, standards, quality control and traceability, socioeconomic, and environmental impacts of supply chains