Description
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.
Table of Contents
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
