AI Heroes in the Fight Against Climate Change

November 2023
University of Cambridge

Introduction

Dive into the world of AI with Cambridge researchers who've trained a nifty AI model to spot the least green homes, making it a breeze to target them for a green makeover. These homes, hidden energy hogs, contribute to over a quarter of direct housing emissions. With 90% precision, this AI wizard is changing the game in the fight against climate change, promising a greener future without breaking a sweat. Say goodbye to guesswork in decarbonizing homes and hello to a smarter, cleaner planet!

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Why It Matters

Discover how this topic shapes your world and future

Greening Our Spaces, Shaping Our Future

Imagine living in a world where every home is a beacon of energy efficiency, where the air is cleaner because houses emit far fewer pollutants. This isn't just a dream; it's becoming a reality, thanks to the pioneering work of researchers using artificial intelligence (AI) to pinpoint the homes that need a green makeover the most. These homes, often older or built in a way that makes them hard to update with new, clean technology, are what we call 'hard-to-decarbonize' (HtD) houses. They're a big part of why some areas have higher pollution levels than others. By identifying these houses, we can take significant steps towards reducing emissions and combating climate change. This journey towards a greener planet might seem vast, but it starts right at our doorsteps. For you, this could mean living in a healthier environment, saving money on energy bills, or even exploring career paths in sustainability and technology. The impact is global, but the relevance is deeply personal.

Speak like a Scholar

Artificial intelligence (AI)

A branch of computer science dealing with the creation of machines that can perform tasks that typically require human intelligence, such as learning, decision-making, and problem-solving.

Decarbonization

The process of reducing carbon dioxide emissions from various activities, especially burning fossil fuels for electricity, heat, and transportation.

Retrofitting

Adding new technology or features to older systems or buildings to make them more energy-efficient or less harmful to the environment.

Data science

A multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

Deep learning

A subset of machine learning in AI that mimics the workings of the human brain in processing data and creating patterns for use in decision-making.

Sustainable design

The philosophy of designing physical objects, the built environment, and services to comply with the principles of social, economic, and ecological sustainability.

Independent Research Ideas

Exploring the role of AI in urban green spaces

Investigate how AI can enhance the management and development of urban green spaces, promoting biodiversity and ecological benefits in city environments.

Innovations in energy-efficient building materials

Dive into the latest advancements in materials science that offer new solutions for insulating homes and reducing energy consumption.

Social impacts of green retrofitting

Examine how retrofitting homes with green technologies can affect communities, particularly in terms of social equity, job creation, and health benefits.

Thermal imaging and energy loss

Study how thermal imaging technology can be used to identify areas of significant energy loss in buildings, leading to targeted interventions for energy efficiency.

AI and sustainable urban planning

Explore how AI can be utilized in the planning and development of sustainable urban areas, focusing on energy efficiency, waste reduction, and enhancing the quality of life for residents.

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