Tag: US Ireland

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

Nathan Kurtz on

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.

Research Paper Published As Part Of Our Joint U.S.-Ireland R&D Project

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We are delighted to announce that another research paper from our joint U.S.-Ireland R&D Project was published in the Data in Brief Journal. The paper titled “Urban Residential Building Stock Synthetic Datasets for Building Energy Performance Analysis” proposes an urban building stock dataset consisting of synthetic input and output data for the energy simulation of 1 million buildings. It contains four different residential types: terraced, detached, semi-detached, and bungalow. It includes 19 inputs which include building component U-values, HVAC parameters, and renewable system parameters.

This dataset will be a valuable resource for researchers, practitioners, and policymakers seeking to boost sustainability and energy efficiency in urban building environments. It also holds potential for future research in the field of building energy modeling and analysis. The work is part of the U.S.-Ireland R&D Partnership and Next Generation Energy Systems (NexSys) project funded by the Science Foundation in the Republic of Ireland (RoI), the National Science Foundation (NSF), and the Department for the Economy NI in Northern Ireland.

We appreciate this opportunity for collaboration and look forward to future papers and joint research opportunities as we continue this partnership.