Dr Parag Wate
BEng, MTech, PhD, FHEA, PGCertTLHE
School of Architecture and Landscape
Lecturer in Architectural Science
- Profile
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I’m a researcher and educator in building science and engineering, interested in developing building physics and machine learning based evidence for net zero energy strategies and related fuel poverty and public health policies in the built environment sector. I'm passionate to achieve this by working at the interface of human health, building design and climate. I specialise in computer modelling and simulation of involved heat and moisture transfer in buildings and by human bodies and understanding their interrelationship to engineer healthier human environments which are resilient and net zero energy in the context of changing climate. I’m an expert in sensitivity and uncertainty analysis of building energy performance prediction and associated gap with measured performance. To that end, I developed the Emulation based Uncertainty and Sensitivity Analysis (EmUSA) framework that enables model parameter screening and reduction and computational efficiency in conducting the analysis and related performance calibration and validation objectives. This research has an overall impact in improving the performance predictions and closing the gap, in turn modelling and simulation methodologies evidencing reliable and robust support for energy efficiency optimisation and decision making in new and retrofit building design scenarios.
I was a Marie Curie early stage researcher in the field of Smart Cities with Sustainable Energy Technologies in the European commission’s FP7 -ITN CI-NERGY (CIties and eNERGY) project before joining School of Architecture and Landscape at University of Sheffield.
- Qualifications
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Postgraduate Certificate in Teaching for Learning in Higher Education (PGCertTLHE)
Fellow of Higher Education Academy (FHEA)
PhD Sustainable Energy Technology
MTech Remote Sensing and GIS (Sp. in Geoinformatics, Gold medallist)
BEng with Distinction
- Research interests
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- Building (energy, moisture and airflow) science and performance efficiency
- Quantitative techniques in Housing energy survey and audits
- Human heat balance, thermal comfort, health and wellbeing
- Fuel poverty, decarbonisation and quality of life policy
- Building performance gap, uncertainty and sensitivity analysis
- White, grey and black box computation methodologies in Building performance predictions
PhD opportunities: If you have interest in any of the topics listed above, please contact me at first instance via e-mail with your CV / portfolio, PhD motivation letter and a research proposal.
Post-doctoral Research Associate opportunities: If you are interested in the above multi-disciplinary topics, please feel free to write me what excites you most about multi-disciplinary research and what you would like to be known for in the field. We could also discuss in addition various UK and international (including India and Europe-wide) post-doctoral fellowship possibilities.
- Publications
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Show: Featured publications All publications
Featured publications
Journal articles
- Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy, 258. View this article in WRRO
Chapters
- Uncertainty assessment of building performance simulation, Urban Energy Systems for Low-Carbon Cities (pp. 257-287). Elsevier
Conference proceedings papers
- Building science learning toolkit: integration of building physics and performance simulation subject teaching in architecture curricula. 37th PLEA conference (Re)thinking resilience book of proceedings (pp 1543-1548). Wrocław, Poland, 25 June 2024 - 25 June 2024. View this article in WRRO
- Emulation-based uncertainty and sensitivity analysis of a multi-zone dwelling. Proceedings of BSO-V 2020: 5th Building Simulation and Optimization Virtual Conference. Online conference, 21 September 2020 - 21 September 2020. View this article in WRRO
All publications
Journal articles
- Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy, 258. View this article in WRRO
- Uncertainty assessment of building performance simulation : an insight into suitability of methods and their applications. Urban Energy Systems for Low-Carbon Cities, 257-287. View this article in WRRO
- Utilities of Virtual 3D City Models Based on CityGML: Various Use Cases. Journal of the Indian Society of Remote Sensing, 46(6), 957-972.
- Implementation of CityGML energy application domain extension (ADE) for integration of urban solar potential indicators using object-oriented modelling approach. Geocarto International, 30(10), 1144-1162.
- An Energy-Related CityGML ADE and Its Application for Heating Demand Calculation. International Journal of 3-D Information Modeling, 4(3), 59-77.
- CityGML at semantic level for urban energy conservation strategies. Annals of GIS, 21(1), 27-41.
Chapters
- Uncertainty assessment of building performance simulation, Urban Energy Systems for Low-Carbon Cities (pp. 257-287). Elsevier
Conference proceedings papers
- Building science learning toolkit: integration of building physics and performance simulation subject teaching in architecture curricula. 37th PLEA conference (Re)thinking resilience book of proceedings (pp 1543-1548). Wrocław, Poland, 25 June 2024 - 25 June 2024. View this article in WRRO
- Build tight, ventilate right; would still need energy might?. Building Simulation Conference Proceedings, Vol. 18 (pp 2097-2104)
- Emulation-based uncertainty and sensitivity analysis of a multi-zone dwelling. Proceedings of BSO-V 2020: 5th Building Simulation and Optimization Virtual Conference. Online conference, 21 September 2020 - 21 September 2020. View this article in WRRO
- Urban energy simulation based on 3d city models: a service-oriented approach. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. IV-4/W1 (pp 75-80). Split, Croatia, 7 September 2016 - 9 September 2016. View this article in WRRO
- 3D Data Models for Urban Energy Simulation. Energy Procedia, Vol. 78 (pp 3372-3377)
- Formulation of hierarchical framework for 3D-GIS data acquisition techniques in context of Level-of-Detail (LoD). 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013), 9 December 2013 - 11 December 2013.
- QUALITATIVE SCREENING METHOD FOR IMPACT ASSESSMENT OF UNCERTAIN BUILDING GEOMETRY ON THERMAL ENERGY DEMAND PREDICTIONS. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2/W2 (pp 127-134) View this article in WRRO
- Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy, 258. View this article in WRRO
- Research group
- Grants
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2024 Grantham Opportunities (GO) fund project, PhD studentships (from University Energy Institute and EPSRC-DTP), Marie-Curie Scholarship
- Teaching interests
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- Building performance modelling and simulation
- Renewable energy technologies
- Building science learning toolkit, flipped classroom approach
- Environmental sustainability, and related Employability skills
- Professional activities and memberships
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Elected member of CIBSE Education Guild committee
Affiliate member of CIBSE
Member of Early Career Editorial Board of Building and Environment journal
Peer reviewer (Applied Energy 2020-, Architectural Science Review 2021-, Building Research and Information 2021-)
Member of IBPSA-England chapter