Educational Consortium for Energy-related Data Science & Computation in Building Engineering Programs

Technical Report · Tue Jan 07 04:00:00 EST 2025

DOI:https://doi.org/10.2172/2496611· OSTI ID:2496611

Napolitano, Rebecca ^[1]

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1. Pennsylvania State Univ., University Park, PA (United States)

The project spearheaded by Pennsylvania State University aims to address the growing need for integrating energy-focused computation and data science into building engineering education. As the demand for energy-efficient building designs and operations increases, the educational sector must adapt to equip future engineers with the necessary skills. This initiative responds to this need by developing a consortium that unites multiple institutions to enhance curriculum development, dataset curation, and resource sharing, thereby ensuring students are well-prepared for the evolving energy sector. The primary goal of the project is to establish a consortium that will develop and disseminate educational materials and training programs focused on energy-related data science and computation. Key accomplishments include the creation of a beta website for resource sharing, the development of training programs and standalone modules, and the curation of datasets accessible to the public. This effort will culminate in a curriculum that incorporates advanced modeling technologies and data science skills into building engineering programs.

• Research Organization: Pennsylvania State Univ., University Park, PA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
• DOE Contract Number: EE0009748
• OSTI ID: 2496611
• Report Number(s): DOE-The-Pennsylvania-State-University--DE-EE0009748
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
42 ENGINEERING
97 MATHEMATICS AND COMPUTING
Data science
computation
education
workforce development