Artificial Intelligence Applications in Renewable Power Systems

Artificial Intelligence Applications in Renewable Power Systems

Mohamed Nassereddine, Ghalia Nassreddine, Amal A. El Arid, Mahmoud Samad
Copyright: © 2024 |Pages: 32
DOI: 10.4018/979-8-3693-1046-5.ch002
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Abstract

The field of power engineering has experienced significant advancements as a result of the integration of artificial intelligence methodologies, such as expert systems machine learning and artificial neural networks. In contemporary renewable energy systems, these approaches provide robust resources for the purposes of design, simulation, estimate, fault diagnostics, and fault-tolerant control. Over the course of recent decades, there has been rapid progress in the field of artificial intelligence technology, leading to a substantial increase in the utilization of AI applications inside modern industrial systems. This chapter provides an overview of the function of artificial intelligence in renewable energy systems. Three different types of renewable energy systems have been introduced in this discussion, including solar photovoltaic systems, wind turbine systems, and geothermal energy plants. Following the presentation of these systems, the authors proceed to critically examine the role of artificial intelligence in power prediction and defect detection within those systems.
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Introduction

Over the past decade, there has been a noticeable increase in power usage worldwide, primarily attributed to the technology revolution. In the present era, electronic devices and power systems are integral elements that comprise the fundamental aspects of modern human existence. Electricity is deemed indispensable for numerous critical activities at both organizational and individual levels. Furthermore, the escalating global population and the advancement of smart cities will contribute to a substantial surge in the need for power in the forthcoming years.

Power generation systems primarily rely on three main energy sources: nuclear power, fossil fuels, and renewable sources. Currently, the predominant source of power generation relies on steam turbines, which are fueled by fossil fuels, nuclear energy, biomass, or geothermal resources. However, it is important to note that these turbines have the potential to generate a significant amount of carbon emissions, which can have adverse effects on the Earth's ecosystem, the environment, and human well-being. The U.S. Environmental Protection Agency (EPA) (2003) states that the creation of energy from fossil fuels results in the production of the following elements:

  • Carbon dioxide (CO2) has the potential to exert a significant influence on climate change. Undoubtedly, the combustion of fuels results in the release of carbon dioxide into the surrounding environment. The emission of CO2 and its subsequent pollution pose a significant environmental hazard, potentially resulting in adverse consequences such as coastal flooding, heightened frequency and intensity of heat waves, exacerbated drought conditions, an upsurge in severe storms, and an amplified propagation of infectious diseases (Islam, et al., 2021).

  • The amalgamation of sulfur dioxide (SO2) with rainwater results in the formation of acid rain, which has the potential to cause detrimental effects on flora in forests and fruit crops. Undoubtedly, this particular combination has the potential to be lethal to plant life. Furthermore, the emission of SO2 has the potential to cause the acidification of rivers, resulting in the creation of biologically inert environments, as well as altering the chemical composition of soil. Sulfur dioxide has been observed to expedite the degradation of rock and paint, resulting in detrimental effects on numerous architectural structures and historical landmarks (Xu, et al., 2021).

  • The chemical element Mercury has the ability to remain suspended in the atmosphere for duration of approximately one year, thereby posing a significant risk of pollution to both terrestrial and aquatic environments. Furthermore, it has the capability to be transported over vast distances spanning thousands of kilometers from its initial location. Exposure to this substance has the potential to adversely affect the central nervous system and result in congenital abnormalities (Gworek, et al., 2020).

  • Nitrogen oxides (NOx) have the potential to generate ground-level ozone and smog upon exposure to sunlight. Additionally, it leads to a rise in algal growth inside freshwater bodies such as lakes and rivers. Consequently, the reduction in oxygen levels in the water exerts an impact on aquatic fauna, including fish and various other creatures. Nitrogen dioxide has the potential to induce respiratory ailments in animals. (Oruc & Dincer, 2019).

Consequently, numerous nations initiated efforts to explore alternative energy sources in order to safeguard the environment and human well-being, while mitigating pollution levels. In recent times, a number of countries including China, the United States, France, and many European nations have adopted the utilization of renewable energy sources, such as solar and wind power, as a means to generate electricity while minimizing the release of harmful substances such as sulfur dioxide (SO2), carbon dioxide (CO2), and other pollutants. In recent times, a growing number of multinational corporations and industrial sectors have been embracing innovative methodologies rooted in renewable resources in order to provide environmentally sustainable forms of energy (Gonzalo, et al., 2019; Hamilton, et al., 2021).

Key Terms in this Chapter

Artificial Intelligence: The study and advancement of computer systems that are capable of conducting tasks that typically demand human intelligence, such as speech recognition, language translation, visual perception, and decision-making.

Solar Photovoltaic System: An electrical power infrastructure engineered to generate usable solar energy via photovoltaic processes.

Renewable Power System: Energy obtained from renewable natural sources that are replenished at a rate exceeding their consumption.

Machine Learning: The application and advancement of computer systems capable of learning and adapting autonomously through the utilization of statistical models and algorithms to analyze data patterns and derive conclusions.

Power Prediction: The capability of a scientific theory to produce predictions that can be tested.

Wind Turbine: An apparatus designed to convert the kinetic energy of the wind into electrical energy.

Geothermal Energy Plant: Steam generation by drawing fluids from subterranean reservoirs to the surface. This steam subsequently turns turbines that produce electricity.

Defect Detection: The likelihood of detecting a discontinuity according to the parameter of the discontinuity in question.

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