Radu Zmeureanu

Professor

Concordia University

Canada

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Radu Zmeureanu is a Professor at Concordia University in Canada. His research areas include building energy efficiency, carbon neutrality, and the application of nature-based solutions to enhance resilience in urban environments. He has contributed to various recent articles focusing on energy performance prediction, the effectiveness of building retrofits, and lifecycle assessments of sustainable materials.

Radu Zmeureanu

Research Interests

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Articles (16)

Thermal time constant estimation of unoccupied school buildings from field measurements over summer

Assessing the effectiveness of building retrofits in reducing GHG emissions: A Canadian school case study

Achieving carbon neutrality at single and multi-building complex levels – A review

Modeling building energy self-sufficiency of using rooftop photovoltaics on an urban scale

Transfer Learning for the Prediction of Energy Performance of Water-Cooled Electric Chillers: Grey-Box Models Versus Deep Neural Network (DNN) Models

Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology

Nature-Based Solutions for Carbon Neutral Climate Resilient Buildings and Communities: A Review of Technical Evidence, Design Guidelines, and Policies

Life Cycle Assessment of the Environmental Benefits of Using Wood Products and Planting Trees at an All-Electric University Laboratory

Assessing and mitigating overheating risk in existing Canadian school buildings under extreme current and future climates

Detection and Diagnosis of Multiple-Dependent Faults (MDFDD) of Water-Cooled Centrifugal Chillers Using Grey-Box Model-Based Method

Transfer Learning Prediction Performance of Chillers for Neural Network Models

Detection and Diagnosis of Multiple-Dependent Faults (MDFDD) of Water-Cooled Centrifugal Chillers Using Grey-Box Model-Based Method

Feasibility of Planting Trees around Buildings as a Nature-Based Solution of Carbon Sequestration—An LCA Approach Using Two Case Studies

Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates

Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates

Detection and Diagnosis of Dependent Faults That Trigger False Symptoms of Heating and Mechanical Ventilation Systems Using Combined Machine Learning and Rule-Based Techniques

Collaborators (2)

Fuad Baba

Leon Wang

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