Modeling And Optimization Of Biomass Supply Chains

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

Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design. Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters

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

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.

Keywords : bioenergy, forest cells, forest harvest residue [logging], forest management units, optimization, power plants, procurement cost, gross margins, road network, underutilized fuel, Atikokan Generating Station, costs.

Decision-Making for Biomass-Based Production Chains: The Basic Concepts and Medothologies presents a comprehensive study of key-issues surrounding the integration of strategic, tactical and operational decision levels for supply chains in the biomass, biofuels and biorefining sectors. Comprehensive sections cover biomass resources, harvesting, collection, storage and distribution systems, along with the necessary technical and technological background of production systems. In addition, the basics of decision-making, problems and decision levels encountered in design, management and operation phases are covered. Case studies are supplied in each chapter, along with a discussion and comparative analysis of topics. The book presents a clear vision of advances in the field. Graduate students and those starting in this line of research will also find the necessary information on how to model this kind of complex system. Finally, this comprehensive resource can be used as a guide for non-expert industry decision-makers and government policymakers who need a thorough overview on the industry. Examines analytic methodologies for complex decision-making when designing, deploying and managing biomass and bio-based products supply chains Includes real-life examples of main sustainability indicators, standards and certification schemes from the European Union, United States and worldwide Explores the progress of decision-making procedures to provide a detailed perspective for effective selection of the most reliable solutions for each kind of problem Provides detailed, in-depth analyses of various models and frameworks for their implementation, challenges and solutions Presents multi-criteria and multi-objective decision-making and modeling approaches, including mathematical modeling, simulation-based modeling, and artificial intelligence-based modeling

This handbook brings together recent advances in the areas of supply chain optimization, supply chain management, and life-cycle cost analysis of bioenergy. These topics are important for the development and long-term sustainability of the bioenergy industry. The increasing interest in bioenergy has been motivated by its potential to become a key future energy source. The opportunities and challenges that this industry has been facing have been the motivation for a number of optimization-related works on bioenergy. Practitioners and academicians agree that the two major barriers of further investments in this industry are biomass supply uncertainty and costs. The goal of this handbook is to present several cutting-edge developments and tools to help the industry overcome these supply chain and economic challenges. Case studies highlighting the problems faced by investors in the US and Europe illustrate the impact of certain tools in making bioenergy an economically viable energy option.

A guide to help readers meet the demands of an evolving competitive business environment, Modeling of Responsive Supply Chain outlines novel concepts and strategies for implementing a fully integrated system of business improvement methodologies. This self-contained reference covers various key aspects of supply chain management, which is crucial to boosting industrial growth in the face of expanding globalization in the manufacturing and transportation sectors. The book focuses on topics that could potentially improve the free flow of goods and services between nations by helping users assess the performance of logistic systems deployed to achieve this end. Chapters present a conventional and evolutionary approach to coordinating all elements of the supply chain to optimize an enterprise’s competitive advantage. The authors explore different models associated with transportation, facility location, and assignments, as well as planning and scheduling. They also address diverse technologies, such as RFID tags used to monitor product flow within the supply chain network. This book addresses the importance of: Recognizing responsiveness as a metric of supply chain performance Domain interfaces for solving the optimization problem by making supply chains more responsive Coordination through contracts to enhance responsiveness System dynamics methodology to achieve responsiveness, as well as management principles, control theory, and computer simulation The use of different types of technologies to build a better supply chain that achieves higher responsiveness Few, if any, single volumes provide the detailed explanation of practical and conceptual approaches found in this book. It covers the entire spectrum of topics and will be equally useful as a reference for scholars and graduate students and as a compendium for practitioners dealing with real-life problems in contemporary supply chain management.