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Advanced Building Construction Digitization Solutions

Description:

d.      Advanced Building Construction Digitization Solutions

This subtopic solicits proposals that identify and encourage development of innovative information technology solutions that support the objectives of the ABC Initiative and construction digitization, including but not limited to, the application of artificial intelligence and machine learning.

 

According to a 2017 report by McKinsey Global Institute (MGI), the construction industry and its associated manufacturing sector sorely underinvest in the technology and digital tools that would enable significant productivity gains [1]. MGI analysis suggests that lower digitization in the construction industry has contributed to productivity decline, which leads to cost/price escalation, which in turn is a well-documented deterrent to energy efficiency measure adoption. BTO believes that increased digitization and improved construction productivity will lower barriers to energy efficiency and building performance improvements, increase building affordability, and improve building reliability.

 

Complex software and faster computing power, combined with artificial intelligence and machine learning, allow for the rapid intake and processing of information. For energy-efficient construction, machines can intake visual images, energy analysis and modeling, and other inputs to directly translate data into the fabrication of building components including walls, roofs, or interior design features. This process, also known colloquially as "art-to-part," can help bridge the gap between a traditional building and a high-performance building with smarter, energy-efficient components.

 

Research areas being considered under this topic include but are not limited to “Building Information Modeling (BIM) to fabrication” applications, construction process digitization for process improvement (4D/5D CAD applications), automated QA/QC applications, and automated Building Commissioning solutions.

 

Preference will be given to technology solutions that are applicable to both new and existing buildings. While modest feasibility studies are appropriate for Phase I funding, applications for this subtopic should be transitioning to manufacturing by Phase II to be considered for further funding.

 

Questions – Contact: Eric Werling, eric.werling@ee.doe.gov

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