Optimization-Based Energy Management for Multi-Energy Maritime Grids.

• Superior document: Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping Series ; v.11
• Author: Fang, Sidun.
• TeilnehmendeR: Wang, Hongdong.
• Place / Publishing House: Singapore : : Springer Singapore Pte. Limited,, 2021.; ©2021.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Series: Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping Series
• Physical Description: 1 online resource (211 pages)

Table of Contents

• Intro
• Preface
• Acknowledgments
• Contents
• About the Authors
• Abbreviations
• 1 Introduction to the Multi-energy Maritime Grids
• 1.1 Background and Motivation
• 1.1.1 Economy Growth and the Demand for Maritime Transport
• 1.1.2 Ship Supply Capacity and Market Structure
• 1.1.3 Shipping Services and Ports
• 1.1.4 The Path to the Green Shipping
• 1.2 Promising Technologies
• 1.2.1 Overview
• 1.2.2 Selected Technical Designs for Energy Efficiency Improvement
• 1.2.3 Selected Alternative Fuels or Energy Sources
• 1.3 Next-Generation Maritime Grids
• 1.3.1 Shipboard Microgrid
• 1.3.2 Seaport Microgrid
• 1.3.3 Coordination Between Shipboard and Seaport Microgrids
• 1.4 Summary
• References
• 2 Basics for Optimization Problem
• 2.1 Overview of Optimization Problems
• 2.1.1 General Forms
• 2.1.2 Classifications of Optimization Problems
• 2.2 Optimization Problems with Uncertainties
• 2.2.1 Stochastic Optimization
• 2.2.2 Robust Optimization
• 2.2.3 Interval Optimization
• 2.3 Convex Optimization
• 2.3.1 Semi-definite Programming
• 2.3.2 Second-Order Cone Programming
• 2.4 Optimization Frameworks
• 2.4.1 Two-Stage Optimization
• 2.4.2 Bi-level Optimization
• 2.5 Summary
• References
• 3 Mathematical Formulation of Management Targets
• 3.1 Overview of the Management Tasks
• 3.2 Navigation Tasks
• 3.2.1 Typical Cases
• 3.2.2 Mathematical Model
• 3.3 Energy Consumption
• 3.3.1 Diesel Engines/Generators
• 3.3.2 Fuel Cell
• 3.3.3 Energy Storage
• 3.3.4 Renewable Energy Generation
• 3.3.5 Main Grid
• 3.4 Gas Emission
• 3.4.1 Gas Emission from Ships
• 3.4.2 Gas Emission from Ports
• 3.5 Reliability Under Multiple Failures
• 3.5.1 Multiple Failures in Ships
• 3.5.2 Multiple Failures in Ports
• 3.5.3 Reliability Indexes
• 3.6 Lifecycle Cost
• 3.6.1 Fuel Cell Lifetime Degradation Model.
• 3.6.2 Energy Storage Lifetime Degradation Model
• 3.7 Quality of Service
• 3.7.1 Comfort Level of Passengers
• 3.7.2 Satisfaction Degree of Berthed-in Ships
• References
• 4 Formulation and Solution of Maritime Grids Optimization
• 4.1 Synthesis-Design-Operation (SDO) Optimization
• 4.2 Coordination Between Maritime Grids
• 4.3 Topologies of Maritime Grids
• 4.3.1 Topologies of Ship Power Systems
• 4.3.2 Topologies of Seaport Microgrids
• 4.3.3 Topologies of Other Maritime Grids
• 4.4 Synthesis-Design-Operation Optimization of Maritime Grids
• 4.4.1 Synthesis Optimization for Maritime Grids
• 4.4.2 Design and Operation Optimization for Maritime Grids
• 4.5 Formulation and Solution of SDO Optimization
• 4.5.1 The Compact Form of SDO Optimization
• 4.5.2 Classification of the Solution Method
• 4.5.3 Decomposition-Based Solution Method
• References
• 5 Energy Management of Maritime Grids Under Uncertainties
• 5.1 Introductions of Uncertainties in Maritime Grids
• 5.1.1 Different Types of Uncertainties
• 5.1.2 Effects of Electrification for Uncertainties
• 5.2 Navigation Uncertainties
• 5.2.1 Uncertain Wave and Wind
• 5.2.2 Adverse Weather Conditions
• 5.2.3 Calls-for-Service Uncertainties
• 5.3 Energy Source Uncertainties
• 5.3.1 Renewable Energy Uncertainties
• 5.3.2 Main Grid Uncertainties
• 5.3.3 Equipment Uncertainties
• 5.4 Data-Driven Optimization with Uncertainties
• 5.4.1 General Model
• 5.4.2 Data-Driven Stochastic Modeling
• 5.4.3 Data-Driven Robust Modeling
• 5.5 Typical Problems
• 5.5.1 Energy Management for Photovoltaic (PV) Uncertainties in AES
• 5.5.2 Energy Management for Navigation Uncertainties in AES
• References
• 6 Energy Storage Management of Maritime Grids
• 6.1 Introduction to Energy Storage Technologies
• 6.2 Characteristics of Different Energy Storage Technologies.
• 6.2.1 Classifications of Current Energy Storage Technologies
• 6.2.2 Battery
• 6.2.3 Flywheel
• 6.2.4 Ultracapacitor
• 6.3 Applications of Energy Storage in Maritime Grids
• 6.3.1 Roles of Energy Storage in Maritime Grids
• 6.3.2 Navigation Uncertainties and Demand Response
• 6.3.3 Renewable Energy Integration
• 6.3.4 Energy Recovery for Equipment
• 6.4 Typical Problems
• 6.4.1 Energy Storage Management in AES for Navigation Uncertainties
• 6.4.2 Energy Storage Management in AES for Extending Lifetime
• References
• 7 Multi-energy Management of Maritime Grids
• 7.1 Concept of Multi-energy Management
• 7.1.1 Motivation and Background
• 7.1.2 Classification of Multi-energy Systems
• 7.2 Future Multi-energy Maritime Grids
• 7.2.1 Multi-energy Nature of Maritime Grids
• 7.2.2 Multi-energy Cruise Ships
• 7.2.3 Multi-energy Seaport
• 7.3 General Model and Solving Method
• 7.3.1 Compact Form Model
• 7.3.2 A Decomposed Solving Method
• 7.4 Typical Problems
• 7.4.1 Multi-energy Management for Cruise Ships
• 7.4.2 Multi-energy Management for Seaport Microgrids
• References
• 8 Multi-source Energy Management of Maritime Grids
• 8.1 Multiples Sources in Maritime Grids
• 8.1.1 Main Grid
• 8.1.2 Main Engines
• 8.1.3 Battery and Fuel Cell
• 8.1.4 Renewable Energy and Demand Response
• 8.2 Coordination Between Multiple Sources in Maritime Grids
• 8.3 Some Representative Coordination Cases
• 8.3.1 Main Engine-Battery Coordination in AES
• 8.3.2 Main Engine-Fuel Cell Coordination in AES
• 8.3.3 Demand Response Coordination Within Seaports
• References
• 9 The Ways Ahead
• 9.1 Future Maritime Grids
• 9.2 Data-Driven Technologies
• 9.2.1 Navigation Uncertainty Forecasting
• 9.2.2 States of Battery Energy Storage
• 9.2.3 Fuel Cell Degradation
• 9.2.4 Renewable Energy Forecasting
• 9.3 Siting and Sizing Problems.
• 9.3.1 Energy Storage Integration
• 9.3.2 Fuel Cell Integration
• 9.4 Energy Management
• 9.5 Summary
• References.