Advanced Methods for Processing and Visualizing the Renewable Energy: A New Perspective from Signal to Image Recognition

✍ Scribed by Samsul Ariffin Abdul Karim, Nordin Saad, Ramani Kannan

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 155
• Series: Studies in Systems, Decision and Control
• Category: Library

✦ Synopsis

This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques.

✦ Table of Contents

Preface
Contents
Editors and Contributors
Rational Quartic Spline Interpolation and Its Application in Signal Processing
1 Introduction
2 Construction of Rational Quartic Spline Interpolant
2.1 Rational Quartic Spline (RQS)
2.2 Derivative Estimation
2.3 Derivative Estimation
2.4 Convergence Analysis of RQS
3 Data Interpolation Using RQS
4 Discussion
5 Applications in Signal Processing
6 Conclusion
References
A Controller for Natural Gas Fuel Dispenser with Multi-Level-Pressure Banks
1 Introduction
2 NGV Dispenser Model
3 Time-Optimal Control Model of NGV Dispenser
3.1 Parameter Identification
3.2 Development of Switching Time Equation
3.3 Designing Governing Equations
3.4 Implementation of Pontryagin’s Minimum Principle
3.5 Designing Forced Trajectory
3.6 Derivation of Optimal Switching and Total Minimum Time
3.7 Modeling of Forced Trajectory Using MATLAB/Simulink
3.8 Simulation Example
4 Results and Discussion
4.1 Performance of Refueling by Varying Initial Pressure Inside Receiver Tank
4.2 Performance of Refueling Using Multi-Level-Pressure Storage Banks
5 Conclusion
References
Power Performance Analysis of Solar Tracking System in UTP
1 Introduction
2 Related Literature Review
3 Project Flow and Methodology
4 Data Collection
5 Results and Discussions
6 Conclusion
References
Artificial Neural Network Modeling of Nanoparticles Assisted Enhanced Oil Recovery
1 Introduction
2 Mathematical Modeling of Nanoparticles Flow in the Reservoir
3 Data Collection
4 ANN Model Development
5 Results and Discussion
6 Conclusion
Appendix: ANN Matlab Code
References
Viable Options and Opportunities for Energy Saving in a Distribution System Towards Sustainability: Taylor’s University as the Case
1 Introduction
2 PV Installation Option
3 Orientations of the Placements of the PV
4 Energy Flow Analysis
5 Economic Analysis
6 Conclusion
References
C1 Surface Interpolation Using Quartic Rational Triangular Patches
1 Introduction
2 Rational Quartic Triangular Patches
3 C1 Continuity Between Two Patches
4 Error Calculation
5 Numerical Results and Discussion
6 Conclusion
References
Construction and Application of Septic B-Spline Tensor Product Scheme
1 Introduction
1.1 Literature Review
2 Preliminaries
2.1 Properties of the Scheme
3 Construction and Analysis of Septic B-Spline Tensor Product Scheme
3.1 Preliminaries
3.2 Construction of Septic B-Spline Tensor Product Scheme
3.3 Analysis of Septic B-Spline Tensor Product Scheme
4 Numerical Examples
5 Conclusion
References
Bayes Meets Tikhonov: Understanding Uncertainty Within Gaussian Framework for Seismic Inversion
1 Introduction
2 Regularisation Method of A. N. Tikhonov
3 Bayesian-Tikhonov Formulation for Linear Inverse Problems
4 The Maximum a Posteriori (MAP) Point
5 A Generalised Formulation
6 The a Posteriori Covariance Matrix
7 The Resolution Matrix
8 The Optimal Low-Rank Approximation of a Posteriori Covariance Matrix
9 Numerical Examples
10 Conclusions
References
Index