ORCID

Paul Crovella: 0000-0003-1448-3288

Funder(s)

Syracuse Center of Excellence in Environmental and Energy Systems - Syracuse University

Description/Abstract

Buildings account for approximately 40% of annual greenhouse gas emissions in the United States. In New York State, approximately 80% of residential and commercial buildings were constructed before the emerging energy codes in the 1970s [1]. Therefore, there is a significant need for affordable and scalable building retrofit solutions with low embodied emissions to meet the targets in the NYS Climate Leadership and Community Protection Act of 2019. A building energy audit is the initial step to quantify a building's energy performance and reveal its energy-saving potential. However, performing a high-level energy audit requires detailed field analysis and is often time-consuming and expensive. Therefore, there is a need for digital solutions to make different parts of the building assessment process affordable, efficient, and scalable. The overarching goal of the project was to develop a drone-based technique that automates building envelope inspection procedures and collects data for developing semantic-rich models for retrofit design and verification.

Document Type

Research Brief

Keywords

building assessment, retrofit design, energy efficiency

Disciplines

Environmental Engineering

Date

1-2024

Language

English

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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