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Wangda Zuo

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Pennsylvania State University
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About

Wangda Zuo is a Professor at The Pennsylvania State University in the United States. His research focuses on multi-energy systems, energy efficiency, and thermal resilience, with recent articles addressing topics such as district heating simulations, building energy modeling, and the impact of electrification on residential buildings. He is dedicated to advancing sustainable practices and improving energy performance in urban environments.

Recent Grants

Grant: Close

U.S.-Ireland R&D Partnership: Intelligent Data Harvesting for Multi-Scale Building Stock Classification and Energy Performance Prediction

Open Date: 2021-09-01

Close Date: 2024-08-01

Grant: Close

Statistical Analysis of Pre-Occupancy and Post-Occupancy Survey for a WELL Certified Building

Open Date: 2018-10-01

Close Date: 2019-03-01

Grant: Close

An Innovative Computational Platform for Robust and Optimal Operation of Renewable Energy Cities

Open Date: 2018-09-01

Close Date: 2019-08-01

Grant: Close

Planning IUCRC at University of Colorado Boulder: Center for Building Energy Smart Technologies (BEST)

Open Date: 2018-09-01

Close Date: 2019-08-31

Grant: Close

Development of Near-Optimal Control Sequence for Chiller Plants with Water Side Economizer Using Dynamic Models

Open Date: 2017-08-01

Close Date: 2021-04-01

Positions (1)

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Wangda Zuo

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The Sustainable Buildings and Societies Laboratory (SBS Lab) at Pennsylvania State University is offering four fully funded PhD student positions for Fall 2026. The lab focuses on advanced modeling techniques, high-performance buildings, and smart, sustainable, and resilient cities. Research areas for these positions include model-based optimal and resilient design and operation for data center cooling systems, honeybee-inspired virtual electric peer-to-peer networks for distributed energy resources, and multi-scale building energy modeling for power grid planning and operation. The lab is led by Professor Wangda Zuo and is known for its multi-disciplinary, multi-institute collaborations supported by significant grants. Students will have opportunities to work on projects with national and international partners, including DOE national laboratories and industry. Funding for these positions is fully provided, covering tuition and stipend. Applicants should have a strong background in mechanical engineering, architectural engineering, electrical engineering, or related fields, and be passionate about modeling and simulation for smart cities. For more information and application instructions, visit the SBS Lab website.

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Articles (20)

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Collaborators (6)

Yunyang Ye

The University of Alabama

UNITED STATES
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Kathryn Hinkelman

Assistant Professor

University of Vermont

UNITED STATES
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Draguna Vrabie

Chief Data Scientist

Pacific Northwest National Laboratory

UNITED STATES
View details

Shady Attia

Professor

University of Liege

BELGIUM
View details

Neil Hewitt

Professor

University of Ulster

UNITED KINGDOM
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Mohammad Haris Shamsi

University College London

UNITED KINGDOM
View details
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