Empowering Sustainability: The Role of Artificial Intelligence in Renewable Energy

Empowering Sustainability: The Role of Artificial Intelligence in Renewable Energy

Prerna Tundwal
DOI: 10.4018/978-1-6684-9601-5.ch008
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Abstract

This chapter explores the significant role that artificial intelligence (AI) plays in advancing renewable energy technologies and promoting sustainability. It discusses how AI can address the challenges and complexities associated with renewable energy systems, improve their efficiency, and enable their seamless integration into existing power grids. The chapter also explores various AI applications in renewable energy generation, forecasting, grid optimization, energy management, and demand response. Additionally, it highlights the potential benefits of AI-driven solutions in accelerating the global transition to a sustainable energy future.
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Introduction

Sustainable Development

According to the theory of sustainable development, human civilizations must continue to exist and meet their own needs without jeopardising the ability of subsequent generations to do the same. The original definition of sustainable development was presented in the Brundtland Report, which was published in 1987. The 2030 agenda for sustainable development, which was approved by all United Nations Member States in 2015, offers a united road map for peace and prosperity for people and the planet, both now and in the future. At its core are the 17 Sustainable Development Goals, an urgent call to action for both developed and developing countries to work together in a global partnership (Hák et al., 2016).

A framework for attaining sustainable development by 2030 is provided by the Sustainable Development Goals (SDGs) of the United Nations. The 17 objectives and 169 targets of the SDGs are intended to address the sustainability's economic, social, and environmental facets. Among other objectives, the SDGs call for the eradication of poverty, the reduction of inequality, access to education, the promotion of sustainable energy, the preservation of biodiversity, and the advancement of sustainable cities and communities (Henderson & Loreau, 2023).

The ability of future generations to meet their own needs is not compromised when current demands are met through sustainable development. It is a comprehensive and integrated strategy to development that aims to strike a balance between social progress, environmental preservation, and economic prosperity. A future that is economically, socially, and environmentally sustainable and that ensures a good standard of living for all people, both now and in the future, is what sustainable development entails (Nasir et al., 2023).

The foundation of sustainable development is the idea that economic growth must be long-term and shouldn't harm the environment or people's quality of life. This entails conserving resources, cutting back on waste and pollution, and promoting sustainable lifestyles and renewable energy. Assuring that everyone has access to necessities like food, water, healthcare, education, and a safe and secure environment is a key component of social sustainability. Protecting natural resources, lowering pollution and waste, and maintaining biodiversity are all aspects of environmental sustainability (Dincer, 2000).

The pursuit of sustainable development necessitates a comprehensive strategy that entails the cooperation and involvement of all parties, including communities, corporations, governments, and civil society organisations. It entails establishing targets and goals for sustainable development as well as putting those practises and policies into action. Additionally, fostering innovation and technology transfer as well as forming alliances and partnerships are all elements of sustainable development (Fawzy et al., 2020).

In conclusion, sustainable development is an all-encompassing method of growth that aims to strike a balance between social progress, economic expansion, and environmental preservation. It is crucial for building a sustainable future that guarantees a high standard of living for everyone, both now and in the future. All stakeholders must work together and participate in order to achieve sustainable development, and sustainable development-friendly policies and practises must be put into place (Nasir et al., 2023).

The key principles of sustainable development include:

1. Environmental Protection

Sustainable development recognizes the importance of preserving and protecting the natural environment. This involves reducing pollution, conserving resources, promoting biodiversity, and mitigating the impacts of climate change.

2. Social Equity

Sustainable development seeks to ensure social equity and justice by addressing poverty, inequality, and social exclusion. It aims to provide equal opportunities, access to basic services, and respect for human rights for all individuals (Hassan, Sameen, Salman et al, 2023).

3. Economic Prosperity

Sustainable development promotes economic growth and prosperity, but in a way that is sustainable and inclusive. It encourages the use of renewable resources, promotes sustainable business practices, and fosters innovation and technological advancements that benefit society and the environment (Hassan, Sameen, Salman et al, 2023).

4. Long-Term Planning

Sustainable development requires long-term planning and decision-making that takes into account the potential impacts on future generations. It emphasizes the need for integrated and holistic approaches to development that consider social, economic, and environmental factors (Hassan, Sameen, Salman et al, 2023).

5. Global Cooperation

Sustainable development recognizes that addressing global challenges requires international cooperation and collaboration. It emphasizes the importance of partnerships, knowledge sharing, and collective action to achieve sustainable development goals at the local, national, and global levels (Hassan, Sameen, Salman et al, 2023).

The participation of many stakeholders, including governments, corporations, civil society organisations, and individuals, is necessary to achieve sustainable development. It necessitates a change in attitudes, actions, and laws to support more sustainable practises and ways of living (Broman & Robèrt, 2017).

All parties, including governments, corporations, civil society organisations, and individuals, must take part in and work together to achieve sustainable development. It necessitates the creation and implementation of long-term-focused policies and plans that consider the requirements and goals of both the present and the future generations (Broman & Robèrt, 2017).

In order to solve some of the most pressing issues facing the world today, including environmental degradation, poverty, inequality, and climate change, sustainable development is essential. It is also essential for promoting economic growth and development that is inclusive and equitable, and that benefits all members of society. By pursuing sustainable development, we can create a more prosperous, just, and sustainable world for ourselves and for future generations (Hassan, Sameen, Salman et al, 2023).

Key Terms in this Chapter

Energy Systems: Energy Systems refer to the interconnected components and processes involved in generating, transmitting, distributing, and consuming energy. AI in Energy Systems leverages advanced algorithms, data analysis, and automation to optimize renewable energy generation, grid integration, demand management, and overall system efficiency for a sustainable and reliable energy future.

Grid Optimization: Grid Optimization in the role of AI in Renewable Energy (RE) involves using AI algorithms and techniques to improve the efficiency, reliability, and stability of the electrical power grid. AI-driven grid optimization enables intelligent energy management, optimal grid operation, and effective integration of renewable energy sources for a sustainable and resilient grid infrastructure.

Energy Management: Energy Management involves monitoring, controlling, and optimizing energy consumption to ensure efficient use of resources. AI in Energy Management utilizes data analytics, machine learning, and automation to optimize energy systems, enhance renewable energy integration, and enable intelligent decision-making for improved energy efficiency and cost savings.

Sustainability: Sustainability, in the role of AI in Renewable Energy (RE), refers to the application of AI technologies to promote and achieve environmentally sustainable practices in the generation, distribution, and consumption of renewable energy. AI in RE enables efficient resource utilization, optimized energy management, reduced carbon footprint, and enhanced decision-making for a sustainable energy future that balances environmental, social, and economic considerations.

Artificial Intelligence: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that can perform tasks, learn from experience, and make decisions. It encompasses various technologies like machine learning, natural language processing, and computer vision, enabling systems to analyze data, recognize patterns, and automate processes.

Renewable Energy: Renewable Energy refers to energy derived from naturally replenishing sources such as sunlight, wind, and water. In the role of AI in Renewable Energy (RE), AI technologies are utilized to optimize renewable energy generation, improve resource forecasting, enhance grid integration, and enable intelligent energy management for a sustainable and efficient energy system.

Forecasting: Forecasting in the role of AI in Renewable Energy (RE) involves using advanced algorithms and data analysis techniques to predict future energy generation, demand, and market conditions. AI-powered forecasting improves the accuracy and reliability of predictions, enabling optimal decision-making, resource planning, and grid management in the RE sector.

Demand Response: Demand Response is a strategy that aims to balance electricity supply and demand by incentivizing consumers to adjust their energy usage during peak periods. AI in Demand Response leverages data analysis and predictive modeling to optimize load management, improve grid stability, and maximize energy efficiency.

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