BSc/MSc Thesis (15HP/30HP): AI-Powered Energy Efficiency Advisor for Buildings

The global challenge of climate change demands innovative solutions for reducing energy consumption in buildings, which account for a significant portion of total energy usage. This thesis project aims to develop an intelligent, web-based chatbot system that helps building owners identify and implement energy efficiency measures. The system will leverage Large Language Models to provide personalized recommendations based on building characteristics, current energy systems, and usage patterns. The goal is to create an accessible tool that democratizes energy efficiency knowledge and accelerates the transition to more sustainable building operations. The project includes collaboration with energy efficiency experts who will evaluate and validate the system's recommendations to ensure their practicality and effectiveness. 

Specific tasks 

The project involves designing and implementing several key components: 

• Development of an intuitive web interface for gathering building information through structured conversation 
• Integration with Large Language Models for generating contextual energy efficiency recommendations 
• Creation of a knowledge base focusing on building-specific energy efficiency measures 
• Implementation of a systematic approach for collecting and validating building characteristics 
• Development of logic for generating detailed, actionable recommendations 
• Design of an architecture that allows for future expansion of the system's capabilities 
• Implementation of evaluation metrics to assess the quality and relevance of recommendations 
• Creation of interactive features for exploring and understanding suggested measures in detail 
• Development of an expert review interface allowing energy efficiency professionals to evaluate and provide feedback on generated recommendations 
• Integration of expert feedback mechanisms to continuously improve recommendation quality 

Necessary skills 

Strong web development skills (HTML, CSS, JavaScript) and experience with modern web frameworks are required. Proficiency in working with LLM APIs (e.g., OpenAI, Anthropic) is essential. Understanding of energy systems and building efficiency concepts is a plus. Experience with user interface design and conversation flow development is beneficial. 

Benefits 

You will gain hands-on experience in developing AI-powered solutions for real-world sustainability challenges. The project offers exposure to cutting-edge AI technologies while contributing to environmental protection. You will learn about energy efficiency in buildings, user interface design, and how to create practical tools that can make a meaningful impact on climate change mitigation. You will also have the opportunity to work with energy efficiency experts and incorporate their professional insights into the system. Successful implementation could lead to actual deployment and use in the community. 

Contact 

Albin Mauritzon, Utvecklingledare Energi och klimat, Regional utveckling, Region Örebro län 

albin.mauritzon@regionorebrolan.se