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Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry

Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry PDF Author: Heungjo An
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
The purpose of this dissertation is to provide an effective approach to design the supply chain (SC) of the cellulosic biofuel industry in order that it will support and accelerate the successful commercialization of the cellulosic biofuel industry. The methods of approach to this problem are (1) to assess the state-of-the-art biofuel SC studies, (2) to provide a decision support tool based on a mixed integer programming (MIP) model for the cellulosic biofuel supply chain design problem (BSCP), (3) to devise an exact solution method to solve large-scale instances of BSCP, (4) to evaluate a biomass logistics system based on biomass modules, by using new simulation elements for new machines, and (5) to compare several biomass logistics systems based on biomass module, bale, and silage, using simulation models. The first part of this dissertation broadly reviews the literature on biofuel SCs, analyzing the state-of-the-art biofuel and petroleum-based fuel SC studies as well as relating generic SC models that have been published over the last decade to the biofuel SC (An et al., 2010a). The resulting analysis proposes fertile opportunity for future research to contribute to improving biofuel SC. The second part of this dissertation formulates BSCP as a MIP model, which is a time-staged, multi-commodity flow, network design problem with an objective of maximizing profit (An et al., 2010b). The model prescribes strategic level decisions (i.e., facility locations, capacities, and technology types) as well as plans for transportation routes and material flows (i.e., quantities produced, stored, and transported) in each time period. A case study demonstrates managerial use in application to a region in Central Texas. The third part of this dissertation provides an exact solution method to solve BSCP. An embedded structure can be transformed to a generalized minimum cost flow problem, which is used as a sub-problem in a CG approach. This study proposes a dynamic programming algorithm to solve the sub-problem in O(m), generating improving path-flows. To accelerate branch-and-bound (B & B) search, it develops an inequality, called the partial objective constraint (POC), which is based on the portion of the objective function associated with binary variables. The fourth part of this dissertation evaluates a biomass module system, which is a conceptual logistics system based on large packages of chopped biomass with sufficient size and density to provide maximized legal highway loads and quick load/unload times. The last part of this dissertation evaluates economic benefits of the biomass module system, comparing it to bale and silage systems.

Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry

Optimization and Simulation for Designing the Supply Chain of the Cellulosic Biofuel Industry PDF Author: Heungjo An
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
The purpose of this dissertation is to provide an effective approach to design the supply chain (SC) of the cellulosic biofuel industry in order that it will support and accelerate the successful commercialization of the cellulosic biofuel industry. The methods of approach to this problem are (1) to assess the state-of-the-art biofuel SC studies, (2) to provide a decision support tool based on a mixed integer programming (MIP) model for the cellulosic biofuel supply chain design problem (BSCP), (3) to devise an exact solution method to solve large-scale instances of BSCP, (4) to evaluate a biomass logistics system based on biomass modules, by using new simulation elements for new machines, and (5) to compare several biomass logistics systems based on biomass module, bale, and silage, using simulation models. The first part of this dissertation broadly reviews the literature on biofuel SCs, analyzing the state-of-the-art biofuel and petroleum-based fuel SC studies as well as relating generic SC models that have been published over the last decade to the biofuel SC (An et al., 2010a). The resulting analysis proposes fertile opportunity for future research to contribute to improving biofuel SC. The second part of this dissertation formulates BSCP as a MIP model, which is a time-staged, multi-commodity flow, network design problem with an objective of maximizing profit (An et al., 2010b). The model prescribes strategic level decisions (i.e., facility locations, capacities, and technology types) as well as plans for transportation routes and material flows (i.e., quantities produced, stored, and transported) in each time period. A case study demonstrates managerial use in application to a region in Central Texas. The third part of this dissertation provides an exact solution method to solve BSCP. An embedded structure can be transformed to a generalized minimum cost flow problem, which is used as a sub-problem in a CG approach. This study proposes a dynamic programming algorithm to solve the sub-problem in O(m), generating improving path-flows. To accelerate branch-and-bound (B & B) search, it develops an inequality, called the partial objective constraint (POC), which is based on the portion of the objective function associated with binary variables. The fourth part of this dissertation evaluates a biomass module system, which is a conceptual logistics system based on large packages of chopped biomass with sufficient size and density to provide maximized legal highway loads and quick load/unload times. The last part of this dissertation evaluates economic benefits of the biomass module system, comparing it to bale and silage systems.

Biomass to Biofuel Supply Chain Design and Planning under Uncertainty

Biomass to Biofuel Supply Chain Design and Planning under Uncertainty PDF Author: Mir Saman Pishvaee
Publisher: Academic Press
ISBN: 0128209003
Category : Technology & Engineering
Languages : en
Pages : 286

Book Description
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

Modeling Bioenergy Supply Chains

Modeling Bioenergy Supply Chains PDF Author: Yuanzhe Li
Publisher:
ISBN: 9781658413480
Category :
Languages : en
Pages :

Book Description
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.

Development of an Optimization Model for Biofuel Facility Size and Location and a Simulation Model for Design of a Biofuel Supply Chain

Development of an Optimization Model for Biofuel Facility Size and Location and a Simulation Model for Design of a Biofuel Supply Chain PDF Author: Fengli Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Modeling and Simulation of Energy Systems

Modeling and Simulation of Energy Systems PDF Author: Thomas A. Adams II
Publisher: MDPI
ISBN: 3039215183
Category : Technology & Engineering
Languages : en
Pages : 496

Book Description
Energy Systems Engineering is one of the most exciting and fastest growing fields in engineering. Modeling and simulation plays a key role in Energy Systems Engineering because it is the primary basis on which energy system design, control, optimization, and analysis are based. This book contains a specially curated collection of recent research articles on the modeling and simulation of energy systems written by top experts around the world from universities and research labs, such as Massachusetts Institute of Technology, Yale University, Norwegian University of Science and Technology, National Energy Technology Laboratory of the US Department of Energy, University of Technology Sydney, McMaster University, Queens University, Purdue University, the University of Connecticut, Technical University of Denmark, the University of Toronto, Technische Universität Berlin, Texas A&M, the University of Pennsylvania, and many more. The key research themes covered include energy systems design, control systems, flexible operations, operational strategies, and systems analysis. The addressed areas of application include electric power generation, refrigeration cycles, natural gas liquefaction, shale gas treatment, concentrated solar power, waste-to-energy systems, micro-gas turbines, carbon dioxide capture systems, energy storage, petroleum refinery unit operations, Brayton cycles, to name but a few.

Modeling and Simulation in Chemical Engineering

Modeling and Simulation in Chemical Engineering PDF Author: Christo Boyadjiev
Publisher: Springer Nature
ISBN: 3030876608
Category : Science
Languages : en
Pages : 206

Book Description
This book presents a theoretical analysis of the modern methods used for modeling various chemical engineering processes. Currently, the two primary problems in the chemical industry are the optimal design of new devices and the optimal control of active processes. Both of these problems are often solved by developing new methods of modeling. These methods for modeling specific processes may be different, but in all cases, they bring the mathematical description closer to the real processes by using appropriate experimental data. In this book, the authors detail a new approach for the modeling of chemical processes in column apparatuses. Further, they describe the types of neural networks that have been shown to be effective in solving important chemical engineering problems. Readers are also presented with mathematical models of integrated bioethanol supply chains (IBSC) that achieve improved economic and environmental sustainability. The integration of energy and mass processes is one of the most powerful tools for creating sustainable and energy efficient production systems. This book defines the main approaches for the thermal integration of periodic processes, direct and indirect, and the recent integration of small-scale solar thermal dryers with phase change materials as energy accumulators. An exciting overview of new approaches for the modeling of chemical engineering processes, this book serves as a guide for the important innovations being made in theoretical chemical engineering.

13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018

13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018 PDF Author: Mario R. Eden
Publisher: Elsevier
ISBN: 0444642420
Category : Technology & Engineering
Languages : en
Pages : 2620

Book Description
Process Systems Engineering brings together the international community of researchers and engineers interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 13th International Symposium on Process Systems Engineering PSE 2018 event held San Diego, CA, July 1-5 2018. The book contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. - Highlights how the Process Systems Engineering community contributes to the sustainability of modern society - Establishes the core products of Process Systems Engineering - Defines the future challenges of Process Systems Engineering

Handbook of Bioenergy

Handbook of Bioenergy PDF Author: Sandra D. Eksioglu
Publisher: Springer
ISBN: 3319200925
Category : Technology & Engineering
Languages : en
Pages : 346

Book Description
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.

26th European Symposium on Computer Aided Process Engineering

26th European Symposium on Computer Aided Process Engineering PDF Author:
Publisher: Elsevier
ISBN: 0444634444
Category : Computers
Languages : en
Pages : 2482

Book Description
26th European Symposium on Computer Aided Process Engineering contains the papers presented at the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event held at Portorož Slovenia, from June 12th to June 15th, 2016. Themes discussed at the conference include Process-product Synthesis, Design and Integration, Modelling, Numerical analysis, Simulation and Optimization, Process Operations and Control and Education in CAPE/PSE. Presents findings and discussions from the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event

Biofuels for a More Sustainable Future

Biofuels for a More Sustainable Future PDF Author: Jingzheng Ren
Publisher: Elsevier
ISBN: 0128155825
Category : Business & Economics
Languages : en
Pages : 416

Book Description
Biofuels for a More Sustainable Future: Life Cycle Sustainability Assessment and Multi-criteria Decision Making provides a comprehensive sustainability analysis of biofuels based on life cycle thinking and develops various multi-dimensional decision-making techniques for prioritizing biofuel production technologies. Taking a transversal approach, the book combines life cycle sustainability assessment, life cycle assessment, life cycle costing analysis, social life cycle assessment, sustainability metrics, triple bottom line, operations research methods, and supply chain design for investigating the critical factors and key enablers that influence the sustainable development of biofuel industry. This book will equip researchers and policymakers in the energy sector with the scientific methodology and metrics needed to develop strategies for viable sustainability transition. It will be a key resource for students, researchers and practitioners seeking to deepen their knowledge on energy planning and current and future trends of biofuel as an alternative fuel. Provides an innovative approach to promoting sustainable development in biofuel production by linking supply chain design and decision support with the life cycle perspective Features case studies and examples that illustrate the theory and methods developed Includes material on corporate social responsibility and economic analysis of biofuels that is highly useful to policy-makers and administrators in both government and enterprise sectors