SBS Lab Team Attends US-Ireland Workshop on Multi-Scale Building Energy Performance Prediction

Nearly 30 experts from the US, Republic of Ireland, and Northern Ireland attended the U.S.-Ireland Workshop on Multi-Scale Building Energy Performance Prediction at the University College Dublin. The participants were from a wide variety of backgrounds including government, academia, national laboratories, industries, and non-profit organizations. They discussed the challenges and opportunities in modeling for building energy performance in the three jurisdiction. We are happy to see this workshop be so successful and look forward to the continued collaborations and new collaborations that can come from this.

The workshop was a spin-off of our joint project “U.S.-Ireland R&D Partnership: Intelligent Data Harvesting for Multi-Scale Building Stock Classification and Energy Performance Prediction” with James O’Donnell at University College Dublin and Neil Hewitt at Ulster University. We were glad to have Ph.D. students Rosina Adhikari and Jiyuan Sui as well as undergraduate students Almila Meng and Alex Pan join the workshop. This was a great opportunity for several of our students to learn from the experts. We are extremely grateful to National Science Foundation, Science Foundation Ireland, and Department of Economy NI for sponsoring this research.

SBS Lab US-Ireland R&D project team at Ulster University

Last week, Prof. Zuo and Ph.D. student Yizhi Yang attended the joint project meeting at Ulster University. They were able to meet and discuss their joint US-NI-Rol project “Intelligent Data Harvesting for Multi-Scale Building Stock Classification and Energy Performance Prediction.” While the SBS team was in Belfast, Northern Ireland they were able to visit and tour Ulster University’s heat pump facility. The team also met with officers from the Department for the Economy NI to better tune their research to support the policy-making process regarding energy-efficient buildings and renewable energy.

This research project is supported by National Science Foundation (NSF), Department for the Economy NI, and Science Foundation Ireland (SFI). The project is a collaborative project with Pennsylvania State University, University College Dublin, and Ulster University. The project aims to reduce residential building energy consumption and related greenhouse gas emissions across the three jurisdictions. This goal is being achieved by using the expertise in green engineering from the NI team, building modeling and machine learning from the US team, and the information theory of the RoI team. We are thankful for the warm and generous welcome from the Ulster University team and excited to continue working with all parties on this important research project.

 

SBS Lab Undergrad Researchers Showcase Work

SBS Lab undergraduate research assistants Nathan Kurtz, Carter Lowell, and Almila Meng presented their research projects last week at BE-SURE‘s end-of-semester research expo. BE-SURE (Building Engineering – Seminal Undergraduate Research Experience) is a Penn State program that supports undergraduate students interested in research.

Carter and Almila are using artificial intelligence to perform large scale energy analyses with our NSF-funded US-Ireland R&D project, and Nathan is investigating how smart city technology can be used to help citizens of Makassar, Indonesia with our NSF-funded Smart Garden Alley project. Nathan and Prof. Zuo will travel to Indonesia this week to conduct field measurements.

Congrats to Almila, Carter, and Nathan! Keep up the good work.

SBS Lab held an in-person event to share our findings on U.S. – Ireland R&D partnership project with collaborators.

SBS Lab met with our collaborators from Ireland last week to discuss the project milestones. In this two-day international event, SBS Lab talked about our research findings and direction of the project with our collaborators. This was the first time that SBS Lab hosted a face-to-face event with international collaborators in the past two years.

For more information about the project and our collaborators please visit here.

 

sbs lab