Convergence Strategies for Green Computing and Sustainable Development

Convergence Strategies for Green Computing and Sustainable Development

Arti Saxena, Kapil Gupta, Sasmita Pala
DOI: 10.4018/979-8-3693-0338-2.ch004
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Abstract

This chapter outlines the journey that intertwines solar energy and artificial intelligence (AI), focusing on optimizing solar energy generation within India's dynamic landscape. Solar energy is abundant—its variability demands creative solutions to turn unpredictability into efficiency. In this context, as technology advances, AI emerges as a valuable tool capable of understanding complex weather patterns, forecasting energy generation, and dynamically adjusting solar panel setups. This study navigates the synergy between AI and solar energy in India. Each section sheds light on different aspects of AI's transformative potential, detailing methods, applications, and concrete results. As the chapter unravels the intricate connection between these two domains, it not only uncovers a more intelligent approach to energy generation, but also catches a glimpse of a future where renewable resources thrive in harmony with technological innovation.
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Introduction

In our modern world, as we work to be more sustainable and fight against climate change, we're focusing on renewable energy sources like solar power. Solar energy is especially exciting because it can provide a lot of power without harming the environment. But there's a challenge: solar power changes with the weather, and that makes it tricky to rely on. This is where artificial intelligence (AI) comes in – it's a powerful technology that could help solve these issues and change the way we use renewable energy.

Figure 1.

Renewable energy resources optimizing using artificial intelligence

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The sun gives us a lot of energy every day, but it's not steady. Clouds and shadows make it go up and down. Traditional ways of managing solar power don't work well with these changes. They often use fixed schedules and need people to make adjustments, which don’t work great with the unpredictable sun.

AI can help by using its special ability to understand lots of information, predict patterns, and learn in real time. This could help with the challenges of solar power. By combining AI and renewable energy, we can find new and smarter ways to deal with the changing sun. Instead of seeing the variability as a problem, AI helps us see it as something we can use to our advantage.

The big challenge is to figure out how to use the sunlight we get, no matter how the weather changes. This isn't just about getting as much energy as possible; it's about making smart choices based on real-time information, changes in energy needs, prices, and the environment. This is where AI comes in – it acts like a conductor in an orchestra. It helps solar panels move to catch the most sun when it's out and saves energy when clouds cover it.

In this case study, we explore how AI can make solar energy better. We'll look at how we use data from the past and use computer models to predict how much energy we can make. We'll also see how clever algorithms can change the angle of solar panels to get the most out of the sun. When we mix AI and solar energy, we're not only using energy more efficiently and wasting less, but we're also getting closer to a world where clean energy is a vital part of our lives.

As we learn about how AI and renewable energy work together, we're on the edge of something big. This could change how we make energy and help us be more environmentally friendly. This case study shows how AI can make solar power even better. It's not just a tool – it's a way to make the world cleaner and more advanced.

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Background And Problem Statement

In South Asia, India is a diverse country with a rich history and a large population. However, it's also a major contributor to greenhouse gases. This means that while it's trying to grow its economy, it also needs to be environmentally responsible. Renewable energy, especially solar power, could be a solution. India gets a lot of sunlight throughout the year, making solar power a promising option. But there are challenges to overcome.

India wants to have energy that's good for the environment, reduce its reliance on fossil fuels, and move towards a cleaner future. Solar power can help with this because it's renewable and doesn't harm the environment. However, India's landscape is varied, with deserts and plains, leading to differences in how much sunlight can be captured. The main problems are how to use this sunlight effectively and provide a steady supply of energy for a growing economy and population.

The usual ways of managing solar power, like fixed solar panels and manual adjustments, don't work well across India's different landscapes. Changing weather, seasons, and clouds add to the challenge. When clouds cover solar panels, they can't generate as much energy, leading to wasted sunlight and an unreliable energy source.

Here's where artificial intelligence (AI) comes in. It's a game-changer that combines advanced technology with renewable energy solutions. AI can revolutionize how India manages solar energy. By using AI to analyze real-time data, predict patterns, and make smart decisions, India can tackle the problem of varying sunlight. This will not only help deal with the challenges of changing sunlight but also make energy capture and distribution more efficient.

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