1st Edition

Optimization for Energy Systems and Supply Chains Fundamentals and Applications

    240 Pages 88 B/W Illustrations
    by CRC Press

    To curb the impacts of rising CO2 emissions, the Intergovernmental Panel on Climate Change report states that a net zero target needs to be achieved by the year 2055. Experts argue that this is a critical time to make important and accurate decisions. Thus, it is essential to have the right tools to efficiently plan and deploy future energy systems and supply chains. Mathematical models can provide decision-makers with the tools required to make well-informed decisions relating to development of energy systems and supply chains. This book provides an understanding of the various available energy systems, the basics behind mathematical models, the steps required to develop mathematical models, and examples/case studies where such models are applied. Divided into two parts, one covering basics for beginners and the other featuring contributed chapters offering illustrative examples, this book:

    • Shows how mathematical models are applied to solve problems in energy systems and supply chains
    • Provides fundamentals of the working principles of various energy systems and their technologies
    • Offers basics of how to formulate and best practices for developing mathematical models, topics not covered in other titles
    • Features a wide range of case studies
    • Teaches readers to develop their own mathematical models to make decisions on energy systems

    This book is aimed at chemical, process, mechanical, and energy engineers.

    Part A: Fundamentals

    1. Energy Systems and Supply Chains

    Viknesh Andiappan, Denny K. S. Ng, and Santanu Bandyopadhyay

    2. Optimization of Energy Systems and Supply Chains

    Viknesh Andiappan, Denny K. S. Ng, and Santanu Bandyopadhyay

    3. Formulating Generalized Mathematical Models

    Viknesh Andiappan, Denny K. S. Ng, and Santanu Bandyopadhyay

    Part B: Applications

    4. Mixed-Integer Linear Programming Model for the Synthesis of Negative-Emission Biochar Systems

    Beatriz A. Belmonte, Kathleen B. Aviso, Michael Francis D. Benjamin, and Raymond R. Tan

    5. A Comprehensive Guidance on Transitioning Toward Sustainable Hydrogen Network from Localized Renewable Energy System: Case Study of South Korea

    Juin Yau Lim and Bing Shen How

    6. An Optimization Framework for Polygeneration System Driven by Glycerine Pitch and Diesel

    Wai Mun Chan and Irene Mei Leng Chew

    7. Multi-Objective Optimization of TEG Dehydration Process to Mitigate BTEX Emission under Feed Composition Uncertainty

    Rajib Mukherjee and Krystal Smith

    8. Constrained Production Planning with Parametric Uncertainties

    Nitin Dutt Chaturvedi and Piyush Kumar Kumawat

    9. Linear Programming Models Based on the Input-Output Framework

    Raymond R. Tan, Kathleen B. Aviso, and Jui-Yuan Lee

    10. Optimisation of Oil Palm-Based Biodiesel Supply Chain: Upstream Stages

    Jaya Prasanth Rajakal and Yoke Kin Wan

    11. Optimal Design of Islanded Distributed Energy Systems Incorporating Renewable Energy for Rural Africa: A Namibian Case Study

    Kemi Jegede, Ishanki De Mel, Michael Short, and Adeniyi J. Isafiade

    12. Multi-Objective Optimization for Energy Network Planning: Energy Storage and Distribution in Integrated Solar Powered Grids

    Jayne San Juan, Amiel Ching, Charles Chua, Lorenzo Dyogi, and Charlle Sy

    Biography

    Viknesh Andiappan is an Associate Professor at Swinburne University of Technology Sarawak Campus. His area of specialization centers on optimization of energy systems and supply chains. His research interests also include design and optimization of net-zero energy systems, synthesis of integrated biorefineries, industrial symbiosis planning, energy planning for greenhouse gas emission reduction, and sustainable agriculture planning. He spends his time working on mathematical programming, multi-objective optimization, input-output modelling, game theory models, process simulation, and Process Integration tools such as Pinch Analysis. Dr. Andiappan is well-published and well-cited for a young researcher (over 70 publications with an h-index of 15) and has presented several papers at various conferences. In 2020, Dr. Andiappan was awarded IBAE Young Researcher of the year Award.

    Professor Ir. Dr. Denny K. S. Ng is Head, School of Engineering and Physical Sciences, Heriot-Watt University, Malaysia. Prof. Ng is well published over 220 papers with an h-index of 40; edited 1 book and authored 1 book. He served as an editor of a number of international refereed journals. He is fellow of IChemE.; The Higher Education Academy; Chartered Engineer, Engineering Council; and Professional Engineer, Malaysia. He is also an Exco member of Young Scientist Network - Academy of Sciences Malaysia (YSN-ASM). He is listed as Top 2% of scientists of their main subfield discipline in 2019, Stanford List. He was also recognised as Top Research Scientists Malaysia (TRSM) in 2018 and as one of the recipients of the Ten Outstanding Young Malaysian Award (TOYM) 2017, as well as the Institution of Engineers, Malaysia Young Engineer Award in 2015, the Global IChemE Young Chemical Engineer of the Year award in 2012. Prof. Ng also applied his R&D output in industrial consultation projects.

    Professor Santanu Bandyopadhyay is currently Praj Industries Chair Professor in the Department of Energy Science and Engineering at the Indian Institute of Technology Bombay (IIT Bombay). Prior to joining IIT Bombay, he worked for M/s Engineers India Limited, New Delhi. He is currently one of the Editors-in-Chief for Process Integration and Optimization for Sustainability (Springer Nature) as well as Associate Editors for Journal of Cleaner Production (Elsevier), Clean Technologies and Environmental Policy (Springer Nature), South African Journal of Chemical Engineering (Elsevier), and Transactions of the Indian National Academy of Engineering (Springer Nature). He is a fellow of the Indian National Association of Engineering (INAE).