A retrofit-first AI strategy delivers efficiency gains in buildings

A large portion of the world’s building stock was constructed before modern energy efficiency standards were introduced. These buildings often rely on outdated heating systems, inefficient lighting, and poorly insulated structures. Completely replacing these buildings with new energy-efficient designs is expensive and impractical. Instead, many organisations are focusing on retrofitting existing buildings to improve their energy performance.

Artificial Intelligence (AI) plays a critical role in identifying and implementing effective retrofit strategies. AI systems analyse historical energy consumption data from buildings along with environmental data such as outdoor temperature, humidity, and occupancy patterns. By analysing this information, machine learning models can identify areas where energy is being wasted and recommend targeted improvements.

For additional context and detailed documentation of this use case, please refer to pages 50-52 in the attached Casebook.