Handbook of Smart Energy Systems

  • 62h 54m
  • Enrico Zio, Michel Fathi, Panos M. Pardalos
  • Springer
  • 2023

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions.

Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

About the Author

Michel Fathi received the B.S. and M.S. degree from the Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2006 and 2008, respectively, and the Ph.D. degree from the Iran University of Science and Technology, Tehran, Iran, in 2013. He was Visiting Scholar with the University of Florida, U.S.A., National Tsing Hua University, Taiwan, and Tecnológico de Monterrey, Mexico. He is currently an Assistant Professor at the University of North Texas, U.S.A. He has authored or co-authored articles in journals such as Technometrics, IEEE Transactions on Automation Science and Engineering, and IEEE Transactions on Industrial Informatics. His research interests include Operations Research, Management Science, Data Science, AI in Business, Cybersecurity and Information Systems, Energy Systems, Healthcare, and Social Goods. Dr. Fathi has received three Postdoctoral Fellowships at Ecole Centrale Paris, France, Ghent University, Belgium, and Mississippi State University, U.S.A. He is the Corresponding Editor of the textbooks Large Scale Optimisation in Supply Chains and Smart Manufacturing: Theory and Applications and Optimisation in Large Scale Problems: Industry 4.0 and Society 5.0 Applications. Dr. Fathi is a member of the Institute for Operations Research and the Management Sciences, Production and Operations Management Society, and Decision Sciences Institute and serves as an associate editor for AI in Business Journal, Energy Systems Journal, and Operations Research Forum Journal. He is also currently editing the Handbook of Smart Energy Systems.

Enrico Zio received the MSc degree in nuclear engineering from Politecnico di Milano in 1991 and in mechanical engineering from UCLA in 1995, and the Ph.D. degree in nuclear engineering from Politecnico di Milano and in probabilistic risk assessment at MIT in 1996 and 1998, respectively. He is currently full professor at the Centre for research on Risk and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France, full professor and President of the Alumni Association at Politecnico di Milano, Italy, Co-Director of the Center for REliability and Safety of Critical Infrastructures (CRESCI) and the sino-french laboratory of Risk Science and Engineering (RISE), at Beihang University, Beijing, China, adjoint and guest professor in several prestigious universities around the World. He is IEEE and Sigma Xi Distinguished Lecturer.

In 2020, he has been awarded the prestigious Humboldt Research Award from the Alexander von Humboldt Foundation in Germany (https://www.humboldt-foundation.de/web/home.html), one the world's most prestigious research awards across all scientific disciplines. In 2021, he has been appointed as Member of the Board Committee of the International Joint Research Center for Resilient Infrastructure (ICRI) 2021-2026, 4TU.Resilience Ambassador by the 4TU Centre for Resilience Engineering and its backbone – the 4TU-programme DeSIRE (Designing Systems for informed Resilience Engineering), a strategic capacity building research programme of the four Dutch Technical Universities, Fellow of the of the Prognostics & Health Management Society a world recognized scientist in the area of reliability centered, condition based and predictive maintenance.

His research focuses on the modeling of the failure-repair-maintenance behavior of components and complex systems, for the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience and security characteristics, and on the development and use of Monte Carlo simulation methods, artificial intelligence techniques and optimization heuristics. He is author and co-author of seven books and more than 500 papers on international journals, Chairman and Co-Chairman of several international Conferences, associate editor of several international journals and referee of more than twenty.

Panos Pardalos was born in Drosato (Mezilo) Argitheas in 1954 and graduated from Athens University (Department of Mathematics). He received his PhD (Computes and Information Sciences) from the University of Minnesota. He is a Distinguished Emeritus Professor in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of Biomedical Engineering and Computer Science & Information Engineering departments.

Panos Pardalos is a world-renowned leader in Global Optimization, Mathematical Modeling, Energy Systems, Financial applications, and Data Sciences. He is a Fellow of AAAS, AAIA, AIMBE, EUROPT, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, Panos Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research (OR) professionals for “scientific contributions that stand the test of time.”

Panos Pardalos has been awarded a prestigious Humboldt Research Award (2018-2019). The Humboldt Research Award is granted in recognition of a researcher’s entire achievements to date – fundamental discoveries, new theories, insights that have had significant impact on their discipline.

Panos Pardalos is also a Member of several Academies of Sciences, and he holds several honorary PhD degrees and affiliations. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, Computational Management Science, and Springer Nature Operations Research Forum. He has published over 600 journal papers, and edited/authored over 200 books. He is one of the most cited authors and has graduated 71 PhD students so far. Details can be found in www.ise.ufl.edu/pardalos

Panos Pardalos has lectured and given invited keynote addresses worldwide in countries including Austria, Australia, Azerbaijan, Belgium, Brazil, Canada, Chile, China, Cyprus, Czech Republic, Denmark, Egypt, England, France, Finland, Germany, Greece, Holland, Hong Kong, Hungary, Iceland, Ireland, Italy, Japan, Lithuania, Mexico, Mongolia, Montenegro, New Zealand, Norway, Peru, Portugal, Russia, South Korea, Singapore, Serbia, South Africa, Spain, Sweden, Switzerland, Taiwan, Turkey, Ukraine, United Arab Emirates, and the USA.

In this Book

  • The Need for Self-Sufficiency and Integrated Water and Energy Management: The Case Study in the Water Supply System in a Small Mountain Town
  • Rethinking Renewable Energy Development in the Republic of Kazakhstan from the Perspectives of International Relations
  • A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations
  • Potential Impact of Net-Zero Energy Residential Buildings on the US Electric Grid
  • Economical and Reliable Design of a Hybrid Energy System in a Smart Grid Network
  • Virtual Power Plants and Integrated Energy System: Current Status and Future Prospects
  • Reliability Analysis of Smart Grids Using Formal Methods
  • Multi-Objective Reliability-Based Design Optimization of Shell-and-Tube Heat Exchangers Using Combined Subset Simulation Method and Naive Bayes Algorithm
  • Key Technologies for the Energy Internet
  • How to Simulate If We Only Have Partial Information but We Want Reliable Results
  • Powerful Mathematica Codes for Goodness-of-Fit Tests for Censored Data
  • Bayesian Network for Composite Power Systems Using Hybrid Mutual Information Measure
  • Optimal Management of Smart Home Appliances Considering Stochastic Behavior of Wind Turbine
  • Novel Data-Driven Methods for Evaluating Demand Response Programs in a Smart Grid
  • On the Coupling of the European Day-Ahead Power Markets: A Convergence Analysis
  • Recent Developments in the Smart Energy Systems
  • Constructing Renewable Energy Systems Using Big Data Applications
  • Control and Monitoring of Wind Farms Based on IoT Application for Energy Conversion
  • Smart Grid and Resilience
  • Grid Integration of Wind Energy Using Fuzzy Logic Algorithm
  • Quantitative Methods for Data-Driven Next-Generation Resilience of Energy Systems and Their Supply Chains
  • Hybrid Attack Modeling for Critical Energy Infrastructure Protection
  • Social Cost-Benefit Analysis of Emission Norms: A Conceptual Framework
  • Graphene-Based Wearable Sensors
  • Piezoelectric Polymer Composites for Energy Harvesting
  • Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Accident-Tolerant Fuel
  • Energy Consumption Management System for Smart Cities Using IoT Cloud
  • An Overview of Drone Energy Consumption Factors and Models
  • Big Data Applications for Improving the Reliability of the French Electricity Distribution Grid
  • Structural Global Reliability Analysis of Floating Offshore Wind Turbines
  • A Physics-Regularized Degradation Model for Cooling System Health Management
  • A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in a Load-Reduction Emergency Demand Response Program
  • Energy Simulation Optimization for Building Insulation Materials
  • Machine Learning for Building Energy Modeling
  • Machine Learning to Facilitate the Integration of Renewable Energies into the Grid
  • Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling
  • Applications of Machine Learning for Renewable Energy: Issues, Challenges, and Future Directions
  • Multi-Criteria Optimization for System Integration of Decentralized Off-Grid Hybrid Renewable Polygeneration: A Few Simulations Studies
  • Optimal Risk Management of Electric Power Systems with CLOUD Simulation and Security Meter Algorithms
  • A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles
  • Application of Machine Learning for Energy-Efficient Buildings
  • A Simulation-Based Optimization Framework Applied to Assess the Resilience of Energy Distribution Center
  • Mathematical Modeling and Simulation Validation in Optimizing Multi-Objective Energy Systems Performance
  • Machine Learning Methods for Estimating Energy Performance of Building Facade Systems
  • Systematic Literature Review of Multi-Criteria Decision-Making Applied to Energy Management
  • Game Theory Modeling of Energy Systems
  • Risk Assessment of Electric Power Generation Systems by Stochastic Simulation UsingCLOUD Computing
  • Green Scheduling of a Complex Flexible Manufacturing Problem: Meta-Heuristic Approach
  • A Simulation-Based Framework for the Adequacy Assessment of Integrated Energy Systems Exposed to Climate Change
  • A Brief Guide on the Modeling of Green Vehicle Routing Problems
  • US Natural Gas Consumption Analysis via a Smart Time Series Approach Based on Multilayer Perceptron ANN Tuned by Meta-Heuristic Algorithms
  • Simulation and Optimization of Energy Systems
  • Data Clustering Method for Probabilistic Power Flow in Microgrids
  • Material Supply Network Optimization in the Energy and Utility Industry
  • Application of Digital Twin Technology on Simulation and Optimization of Prime Movers in Energy Systems
  • Digital Twin for Multi-Criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident Tolerant Fuel Concepts
  • Model Predictive Control and Distributed Optimization in Smart Grid Applications
  • High-Performance Solar Cells by Machine Learning and Pareto Optimality
  • Drone Delivery Systems and Energy Management: A Review and Future Trends
  • Applications of Machine Learning in the Planning of Electric Vehicle Charging Stations and Charging Infrastructure: A Review
  • Surrogate Modeling-Driven Physics-Informed Multi-Fidelity Kriging for the Prediction of Accident-Tolerant Fuel Properties
  • Robust Design Optimization Method for Engineering System
  • Data-Driven Multi-Scale Modeling and Robust Optimization of Composite Structure with Uncertainty Quantification
  • Data Analysis Applications in Optimizing the Smart Grid System
  • Data Analysis Applications in the Optimal Integration of Energy Supply Chain
  • Developing Energy Demand Forecasting Methods
  • Data-Driven Energy Waste Minimization at Energy Distribution Networks
  • Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions
  • Multiple-Criteria Decision-Making (MCDM) Applications in Optimizing Multi-Objective Energy System Performance
  • Simulation Applications in Analyzing the Trade-Off Between Climate Change and Energy Consumption
  • Analysis of Energy Transition Pertaining to the Future Energy Systems
  • Data Mining Applications in Smart Grid System (SGS)
  • The Role of Blockchain and Cryptocurrency in Smart Grid: Renewable Energy Trading, System Security and Privacy Preservation
  • Energy Harvesting for Smart Energy Systems
  • Dynamic Bayesian Network Based Approach for Modeling and Assessing Resilience of Smart Grid System
  • Application of Machine Learning in Occupant and Indoor Environment Behavior Modeling: Sensors, Methods, and Algorithms
  • Software Engineering Smart Energy Systems
  • An Intelligent Decision Support System for an Integrated Energy Aware Production-Distribution Model
  • Design and Operational Strategies for Grid-Connected Smart Home
  • The Role of Data Collection, Storage, and Processing in the Intelligent Energy Systems of Tomorrow
  • Adaptive Decentralized Under-Frequency Load Shedding in Smart Grid
  • Photovoltaic Rooftops in Smart Energy Systems
  • Smart Grid Resilience
  • Smart Energy Systems, Infrastructure Financing, and the Wider Economy
  • Multi-Step Ahead Power Demand Forecasting in Smart Grid
  • Social Acceptance of Smart Energy Systems
  • Edge Computing in Smart Grids
  • Resilience of Smart Integrated Energy Systems
  • Smart Buildings in the IoT Era: Necessity, Challenges, and Opportunities
  • Smart Grids in the IoT Era: Necessity, Challenges, and Opportunities
  • Governance of Smart Energy Systems
  • A Hybrid Smart Neural Network Model for Short-Term Prediction of Energy Consumption
  • Processing Smart Meter Data Using IoT, Edge Computing, and Big Data Analytics
  • Energy-Smart Transportation Systems: Role of Connectivity, Automation, Big Data, and Machine Learning
  • Energy Efficient Mission Control of Unmanned Intelligent Swarm Systems
  • Building the Remote Surveying System of Energy Consumption in Maritime Transportation Using Internet of Things (IoT) Technique
  • AI for Electricity Market Design
  • Predicting US Energy Consumption Utilizing Artificial Neural Network
  • A Survey of Cyber-Physical Systems Applications (2017–2022)
  • Using Artificial Intelligence for Nuclear Nonproliferation and Commercial Nuclear Applications
  • Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications
  • Blockchain and Smart Grids: Opportunities, Open Issues, and Future Prospects
  • A Blockchain-Based Smart Grid to Build Resilience Through Zero-Trust Cybersecurity
  • Blockchain and Open Energy Markets
  • Leveraging Industry 4.0: Deep Learning, Surrogate Model, and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System
  • Using AI and Classical Controllers for Improving the Renewable Energy Systems
  • Uncertainty Quantification and Sensitivity Analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code
  • Wind Turbine Anomaly Detection Based on SCADA Data
  • Future Energy System Analyses
  • Hybrid Threats to the European Union’s Energy Sector: An Overview
  • Green Production
  • Integration of Renewable Energy Sources
  • Integration of Renewable Energy Systems: Recent Developments and Future Challenges
  • Planning to Incorporate Energy Conservation Practices, Renewable Energy Production Systems, and Eco-Friendly Building Design Practices to Support Sustainability in US Public Schools
  • An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planning in Manufacturing Systems: A Case Study
  • Novel Integrated Membrane Auto-Thermal Reactors (NIMATRs) for Energy Efficiency and Sustainability
  • Environment Trade-Off in Using Renewable Energy in Oil-Rich Countries
  • Data Analytics Applications in the Energy Systems Concerning Sustainability
  • Challenges of Smart Grid Technology Deployment in Developing Countries: Case Study of Iran
  • Cost-Sustainability Trade-Off Solutions for the Optimal Planning of Local Integrated Energy Systems from Nanogrids to Communities
  • A Detailed Analysis of the Barriers of Using Renewable Energies and Their Roles in Sustainable Development in Iran
  • Proposing a New Hedging Strategy Based on Considering the Efficiency of Energy Markets in Crises: Cases of COVID-19 and Financial Crisis of 2007–2008
  • Analyzing the Solar Energy System Investment in Turkey
  • The Influence of Circular Economy in Renewable Energy Systems: EoL Solar Panel Management
  • Integration Strategies of Renewable Energy Sources in a Conventional Community
  • IEC-61850 Performance Evaluation in a 5G Cellular Network: UDP and TCP Analysis
  • Analysis of the Renewable Energy Generation Capability for Attending a National Renovation Fleet Through Ethanol-Cell Electric Vehicles in a South American Market
  • Practical Application of the Decision-Making Grid (DMG) for Supporting Maintenance Strategy Decisions in a Small Hydroelectric Power Plant (SHPP)
  • A Good Practice in Urban Energetics in a Hungarian Small Town, Kaposvar
  • Digital Twin and Artificial Intelligence Incorporated with Surrogate Modeling for Hybrid and Sustainable Energy Systems
  • Evaluation of Energy Efficiency for Smart Manufacturing: Applications and Future Scopes
  • The Role of Big Data in Building Renewable Energy Systems: The Case of Emerging Markets
  • The Relation Among Ownership, Environmental, Social, Governance (ESG), and Corporate Social Responsibility (CSR) in China
  • Energy Semantic Data Management and Utilization in Smart Grid Networks with Focus on Circular Economy
  • Analyzing the Effect of Solar, Wind, Nuclear, and Total Renewable Energy Intensities on Economic Growth in BRICS
  • Supply Chain Resilience Along with Assessment of Sustainable Development: Experimental Data for the Integration of Supply Sources
  • The Food-Energy-Water Nexus in Sustainable Energy Systems Solutions
  • Hydrogen-Based Dense Energy Carriers in Energy Transition Solutions
  • AQ-Learning-Based Demand Response Algorithm for Industrial Processes with Operational Flexibility
  • Indicators Framework for Sustainability and Circular Economy Implementation
  • Optimal Balancing of Wind Parks with Virtual Power Plants in the Market Environment
  • Recent Trends in Sustainable Supply-Chain Optimization
  • Energy Technology RD&D Budgets, Environmental Sustainability, and Energy Transition: A Review of Emerging Trends, Policies, and Pathways
  • Green Synthesis of Carbon Nanomaterials
  • Graphene and Graphene-Based Sustainable Composites
  • Social Innovation Approaches for Sustainable Living: A Review on Research Methods and Social Problems
  • Internet of Things Value Creation for Sustainable Energy: Privacy Challenges in the Interconnectedness Era
  • Big Data Analytics in Smart Energy Systems and Networks: A Review
  • Sustainability in a Circular Economy Context: Investigation of the Market-Based Instruments Potential for Energy Efficiency Improvement (Case Study: Iran)
  • Wireless Charging of Electric Vehicles Through Pavements: System, Design, and Technology
  • Cost-Environment Trade-Off in Using Renewable Energy in an Energy System
  • Data Analytics Applications in Reducing the Emission Footprint of an Energy System
  • Logistics Processes Optimization with Regard to Sustainability Concerns
  • Data-Driven Techniques for Optimizing the Renewable Energy Systems Operations
  • Applying Optimization Techniques to Develop a Renewable Energy Supply Map
  • Sustainable Process Intensification for Biomass Valorization
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