Automated Sustainable Building Design Verification via HyperScore-Guided Multi-Modal Assessment
Year: 2025
Type: article
Abstract: **Abstract:** This paper introduces a novel framework, HyperScore-Guided Multi-Modal Assessment (HSGMA), for automating and enhancing the verification of sustainable building designs against BREEAM standards. HSGMA integrates multi-modal data ingestion and analysis, employing advanced techniques in semantic decomposition, logical consistency verification, and impact forecasting, culminating in a HyperScore reflecting the overall sustainability performance of a design. The system leverages existing, validated technologies, including theorem provers, numerical simulations, and graph neural networks, to provide a measurable, scalable, and readily implementable solution for BREEAM certification. This framework promises a 30-40% reduction in certification costs and timeline, alongside improved design quality and reduced environmental impact. --- *This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.*
Source: Figshare
Authors: KYUNGJUN, LIM, Researcher, Freederia AI
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6958775440
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