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| Author | : Nasim Zandi Atashbar |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
| Author | : Mir Saman Pishvaee |
| Publisher | : Academic Press |
| Total Pages | : 284 |
| Release | : 2020-11-25 |
| Genre | : Science |
| ISBN | : 0128209003 |
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
| Author | : Calliope Panoutsou |
| Publisher | : Academic Press |
| Total Pages | : 294 |
| Release | : 2017-08-11 |
| Genre | : Technology & Engineering |
| ISBN | : 0128123044 |
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
| Author | : Jens Bo Holm-Nielsen |
| Publisher | : Woodhead Publishing |
| Total Pages | : 412 |
| Release | : 2016-02-23 |
| Genre | : Science |
| ISBN | : 1782423877 |
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
| Author | : Sandra D. Eksioglu |
| Publisher | : Springer |
| Total Pages | : 346 |
| Release | : 2015-08-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3319200925 |
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.
| Author | : Abdul Halim Abdul Razik |
| Publisher | : |
| Total Pages | : 153 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
In the growing concerns towards global environmental qualities and sustainable feedstocks supplies, scientific and technological efforts were intensified to utilize alternative renewable resources. In this regard, biomass appeared to be one of the potential feedstocks because it is generally carbon neutral and essentially renewable. Furthermore, biomass is virtually found in every part of the world in abundance and could provide socio-economic benefits. However, if it is not managed properly, biomass will be less competitive due to several issues that are associated with its supply chain. Typical biomass supply chain has a series of activities such as growing, harvesting, transporting, aggregating, and conversion which systematic and efficient flows of materials from the fields to the users are highly important. Biomass has competing uses, different kinds and origins which are potentially exploitable, poor geographic distributions for retrieving and transporting, and variations in physical and chemical properties. It is difficult to make informed decision for any biomass utilization project without having an optimal supply chain. This research intended to solve those issues by modeling and optimizing biomass supply chains for manufacturing energy, chemicals, and materials based on their respective processing routes. The aim was not only to focus on energy production from biomass but also to include chemicals and materials because of several factors such as an emerging cost competitive energy resource such as shale gas, highly volatile energy prices, and customer's preparedness and acceptances. Furthermore, it also could leverage biomass plantations on the producers' sides. The biomass supply chain model has considered annual profitability of producing products as the performance indicator. It was derived from revenues of selling the products subtracted all the associated costs such as biomass cost, transportation cost, production cost, and emission treatment costs from transportation and production activities. It summed up simultaneously all the profitable processing options that have existed in the superstructure to yield the optimal value, while a single ownership was assumed for the whole supply chain's facilities. Three optimization models have been developed and implemented in GAMS (General Algebraic Modeling System).
| Author | : José Maria Ponce-Ortega |
| Publisher | : Elsevier |
| Total Pages | : 532 |
| Release | : 2019-03-05 |
| Genre | : Technology & Engineering |
| ISBN | : 0128181796 |
Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding the potential of biomass feedstocks in multiple harvesting sites, availability and seasonality of biomass resources, different potential geographical locations for processing plants that produce multiple products using diverse production technologies, economies of scale for production technologies, demands and prices of multiple products, locations of storage facilities, and a number of transportation modes. Sustainability considerations are incorporated into the proposed models by including simultaneous economic, environmental and social performance in the evaluation of the supply chain designs. Covers different optimization models for the strategic planning of biorefining systems Includes the GAMS and MATLAB codes for solving various problems Considers sustainability criteria in the presented models Presents different approaches for obtained trade-off solutions Provides general software that can be used for solving different problems
| Author | : Pantea Mirzaie |
| Publisher | : |
| Total Pages | : 103 |
| Release | : 2013 |
| Genre | : Biomass energy |
| ISBN | : |
The use of fossil fuels and their related impact on the environment and global warming have encouraged societies to pursue more sustainable and renewable alternatives, e.g., forest-based bio-oil. Thus, a vital need to decrease the level of greenhouse gas emissions and the tendency of nations to reduce their dependency on imported oil have created a new mission for society: To increase the robustness of the environmental and economic aspects of woody biomass to bio-oil supply chains. Prior studies have focused on developing novel methods and approaches for improving single stages of biomass supply chains. Others have focused on ameliorating biomass supply chain performance from a systems perspective for a host of different biomass types, e.g., agricultural residues and forest residues, and logistics issues, e.g., transportation distance and storage. Bio-oil can be produced from woody biomass through the fast pyrolysis process, among different methods. Mobile processing has been developed in recent years to facilitate bio-oil production from woody waste and to reduce overall bio-oil supply chain cost, however, questions surrounding the environmental and economic benefits of using mobile processing plants in combination with large-scale non-mobile (fixed) processing plants remain unanswered. The research presented develops a mathematical model capable of assisting decision makers in determining the optimal combination and location of fixed and mobile bio-refinery plants for a known woody waste supply stream and set of harvesting areas. The major cost elements in the optimization model are transportation costs and capital costs. The model is applied to hypothetical case for northwest Oregon by using historical harvesting data for state-owned and private forests in the region. Distances between locations are obtained by using a geographical information system to elucidate roadway effects. The model is optimized for cost by using an integer linear programming solver. Supply chain environmental impacts are then assessed by considering the carbon footprint (CO2 equivalent mass) of transportation activities and the bio-refinery infrastructure. Sensitivity analysis is conducted for six major factors within the mathematical model to assess their effects on the estimated supply chain cost and carbon footprint, as well as on the number and location of the mobile and fixed bio-refineries. The application of the model indicates that the utility of a mobile processing plant aligned with a fixed processing plant is more obvious when transportation cost and distance increase. In addition, this study seems to confirm the premise that transferring bio-oil to a processing facility is often more preferable than transporting woody biomass. However, results indicate that the capital intensity (cost and environmental impact) of mobile processing plants can greatly degrade their relative utility within a mixed mode supply chain.
| Author | : Helena Paulo |
| Publisher | : Elsevier Inc. Chapters |
| Total Pages | : 18 |
| Release | : 2013-06-10 |
| Genre | : Science |
| ISBN | : 0128085126 |
This paper addresses an integrated biorefinery supply chain analysis in order to identify the critical factors that can contribute to such system effective modeling. Accordingly, a general mixed integer linear programming (MILP) formulation is developed to support the design of an integrated biorefinery supply chain. The model aims to attain the optimal supply chain configurations from many possible alternatives depending on (i) a large portfolio of biomass sources with distinct physical and chemical characteristics and with different possible locations for its supply; (ii) diverse storage types, with or without pre-processing technologies, and locations; (iv) different transportation modes for every material flows; (iv) different processing technologies to attain a large portfolio of biobased products as well as capacities and locations and (v) manage a large portfolio of end products to be sent to different markets. The model is supported by a database built in Excel in order to allow the application of the model to specific situations and be applied as a decision support system.
| Author | : Yuanzhe Li |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : |
| ISBN | : 9781658413480 |
Biofuels have been promoted by governmental policies for reducing fossil fuel dependency and greenhouse gas emissions, as well as facilitating regional economic growth. Comprehensive model analysis is needed to assess the economic and environmental impacts of developing bioenergy production systems. For cellulosic biofuel production and supply in particular, existing studies have not accounted for the inter-dependencies between multiple participating decision makers and simultaneously incorporated uncertainties and risks associated with the linked production systems. This dissertation presents a methodology that incorporates uncertainty element to the existing integrated modeling framework specifically designed for advanced biofuel production systems using dedicated energy crops as feedstock resources. The goal of the framework is to support the bioenergy industry for infrastructure and supply chain development. The framework is flexible to adapt to different topological network structures and decision scopes based on the modeling requirements, such as on capturing the interactions between the agricultural production system and the multi-refinery bioenergy supply chain system with regards to land allocation and crop adoption patterns, which is critical for estimating feedstock supply potentials for the bioenergy industry. The methodology is also particularly designed to incorporate system uncertainties by using stochastic programming models to improve the resilience of the optimized system design. The framework is used to construct model analyses in two case studies. The results of the California biomass supply model estimate that feedstock pretreatment via combined torrefaction and pelletization reduces delivered and transportation cost for long-distance biomass shipment by 5% and 15% respectively. The Pacific Northwest hardwood biofuels application integrates full-scaled supply chain infrastructure optimization with agricultural economic modeling and estimates that bio-jet fuels can be produced at costs between 4 to 5 dollars per gallon, and identifies areas suitable for simultaneously deploying a set of biorefineries using adopted poplar as the dedicated energy crop to produce biomass feedstocks. This application specifically incorporates system uncertainties in the crop market and provides an optimal system design solution with over 17% improvement in expected total profit compared to its corresponding deterministic model.
