Machine learning applications for the optimization of renewable energy systems - Doctor of Philosophy dissertation

Aug 3, 2026

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This dissertation investigates how machine learning can improve the optimization of renewable energy systems, linking data-driven methods with engineering decision-making. It frames renewable energy deployment in the broader context of Saudi Arabia, including energy security, energy policy, economics, social acceptance, and supply-demand considerations. The study extends from climate impact assessment for optimal allocation and dispatch under the 2030 Vision to cost-effective control strategies for wastewater treatment using electrochemical systems and machine learning to maximize renewable energy utilization.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages117

Reading Time4 h 55 min

AccessFree to download

Table of Contents

List of Figures

List of Tables

Nomenclature

Acknowledgments

Abstract

Chapter 1. General Introduction

Chapter 2. Comparative Study of Climate Impacts on the Optimal Allocation and Dispatch of Renewable Energy Systems Under Saudi Arabia’s 2030 Vision

Chapter 3. Electrochemical Systems and Machine Learning for Cost-Effective Wastewater Treatment to Maximize Renewable Energy

Machine learning applications for the optimization of renewable energy systems by Abdullah M. Maghfuri A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Mechanical Engineering Program of Study Committee: Mark Mba Wright, Major Professor Hu, Chao Hu, Shan Wang, Yu Gül E. Kremer The student author, whose presentation of the scholarship herein was approved by the study committee's program, is solely responsible for the content of this dissertation. The Graduate Collegewill ensure this dissertation is globally accessible and will not permit alterations after a degree is confirmed. Iowa State University Ames, Iowa 2023 Copyright © Abdullah M. Maghfuri, 2023. All rights reserved. ii TABLE OF CONTENTS Page LIST OF FIGURES ........................................................................................................................iv [LIST OF TABLES..........................................................................................................................vi](LIST OF TABLES..........................................................................................................................vi) [NOMENCLATURE ...............................](NOMENCLATURE ...............................)...................................................................................... vii ACKNOWLEDGMENTS ..............................................................................................................ix ABSTRACT ...................................................................................................................................xi CHAPTER 1. GENERAL INTRODUCTION ................................................................................ 1 Literature review of renewable energy systems in Saudi Arabia.................................................2 Background ..................................................................................................................................3 Economics ................................................................................................................................3 Energy security and energy policy ...........................................................................................4 Social acceptance .....................................................................................................................5 Supply and demand locations...................................................................................................6 Renewable Energy Systems .........................................................................................................6 Solar Energy .............................................................................................................................6 Wind Energy ............................................................................................................................7 Geothermal Energy ..................................................................................................................7 Biomass energy ........................................................................................................................8 Hydropower Energy .................................................................................................................8 Chemical Storage .....................................................................................................................9 Economic analysis of renewable energy technologies .............................................................9 Conclusion ................................................................................................................................. 10 References ...........................................................................................................................

FAQs

What is the main topic of the dissertation?

The dissertation focuses on using machine learning to optimize renewable energy systems and improve related operational and deployment decisions.

Which real-world context and research themes are addressed?

It covers renewable energy system background topics such as economics, energy security and policy, social acceptance, and supply-demand locations, with a specific emphasis on Saudi Arabia’s 2030 Vision.

How are different application areas handled across chapters?

Chapters include climate-impact-driven optimization for allocation and dispatch, and a separate line that applies machine learning with electrochemical systems to support cost-effective wastewater treatment aimed at maximizing renewable energy.

Aug 3, 2026

Upload by Violet