LuminLab: An AI-Powered Building Retrofit and Energy Modelling Platform

• URL: http://arxiv.org/abs/2404.16057v1
• Date: Sun, 14 Apr 2024 16:47:00 GMT
• Title: LuminLab: An AI-Powered Building Retrofit and Energy Modelling Platform
• Authors: Kevin Credit, Qian Xiao, Jack Lehane, Juan Vazquez, Dan Liu, Leo De Figueiredo,
• Abstract summary: This paper describes the technical and conceptual development of the LuminLab platform. The platform provides users with the ability to engage with a range of possible retrofit pathways tailored to their individual budget and building needs on-demand. We feel that AI-powered tools such as this have the potential to pragmatically de-silo knowledge, improve communication, and empower individual homeowners to undertake incremental retrofit projects that might not happen otherwise.
• Score: 3.3438096748249215
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper describes the technical and conceptual development of the LuminLab platform, an online tool that integrates a purpose-fit human-centric AI chatbot and predictive energy model into a streamlined front-end that can rapidly produce and discuss building retrofit plans in natural language. The platform provides users with the ability to engage with a range of possible retrofit pathways tailored to their individual budget and building needs on-demand. Given the complicated and costly nature of building retrofit projects, which rely on a variety of stakeholder groups with differing goals and incentives, we feel that AI-powered tools such as this have the potential to pragmatically de-silo knowledge, improve communication, and empower individual homeowners to undertake incremental retrofit projects that might not happen otherwise.

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