Dr Parag Wate
BEng, MTech, PhD
School of Architecture
Lecturer in Architectural Science
Research Ethics Co-Leader, CIV61019 (Building Physics and Simulation)
ARC6840 (Renewable Energy) Module leader
I am an engineer and a quantitative researcher interested in developing and applying data-driven techniques for the research problems in Built environment. In particular, my PhD research was focused on the uncertainty problem in predicting building energy performance. I developed and applied an emulation-based computationally efficient and plausible framework for the quantification and decomposition of the impact of epistemic and aleatory uncertainties, arising respectively from energy related deterministic heat transfer and stochastic occupants’ behaviours phenomena occurring in buildings, on the predictions of their performance. This has also facilitated to identify the dominating factors that influence building energy performance. I posit that an uncertainty-enabled analysis of building performance predictions would enhance our understanding in addressing the so called gap between measured and simulated performance of buildings. This would eventually aid energy planners and decision makers to integrate simulation-based risk-conscious approach in their low energy new and retrofit design proposals at building and urban scale.
I also have keen interests in achieving energy and environmental sustainability of Built environment through design and implementation of low energy and carbon solutions.
I was a Marie curie early stage researcher in the field of Smart Cities with Sustainable Energy Technologies in European commission’s FP7-ITN CI-NERGY project before joining SSoA.
After completing my bachelor of engineering studies (with First division) in India, I worked as a Graduate Engineer trainee in the automotive sector of Mahindra & Mahindra Limited, Mumbai. In this role, I designed and implemented small-scale Computer Numerically Controlled (CNC) machines’ operation and control related instrumentation projects to achieve automation on the vehicle assembly lines at a low cost and reduced lead time.
Later, as a part of my postgraduate taught studies (MTech) in Geoinformatics at Indian Institute of Remote Sensing, I went on to pursue my design and development interests in a computer simulation environment, completely different than before, for a much broader purpose and higher motivation of addressing energy issues in cities. I could produce a thesis on neighbourhood scale 3D building information modelling for to be used in solar irradiation simulation models in order to assess the solar harnessing potential of urban facades for photovoltaic and thermal systems. I was awarded Certificate of Merit for First Rank and a Gold medal for my MTech thesis work.
With my newly gained engineering and research skills in Built environment, I was able to win the European Commission’s Marie Curie FP7-ITN fellowship under CI-NERGY (CIties and eNERGY) project to pursue my PhD in Sustainable Energy Technology. After my fellowship, I worked as a Scientific assistant at HfT Stuttgart, Germany on SimStadt2 project and developed a new Urban Data Model called SimStadt2 data model for Simplified and Dynamic building performance simulations at varying levels of building architectural geometry details.
- Research interests
I work at the intersection of engineering and architecture – a cross-disciplinary research approach focusing on the computational and environmental design aspects of Buildings and Cities. On computational aspect, I have interests in 3D building and city information modelling, parametric programming, sensitivity analysis and uncertainty-enabled building and urban performance phenomena modelling and simulation studies. On environmental aspect, I am interested in adapting and applying my computational expertise for instance to investigate the potential of renewable technologies such as building integrated photovoltaic and / or thermal systems in enabling environmentally sustainable indoor thermal comfort.
I am also interested in validation and calibration of buildings’ performance using statistical techniques, including model verification and simplification. In alignment with this, I am also developing my research expertise in building design optimisation by evaluating its performance efficiency.
PGR Supervision Areas
- Procedural Building and Urban scale modelling
- Building and Urban Energy Simulation
- Parametric programming and computation for Simulation
- Data-driven methods for Sustainable Built Environment
- Uncertainty Quantification in Building and Urban performance prediction
- 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.
- Uncertainty assessment of building performance simulation, Urban Energy Systems for Low-Carbon Cities (pp. 257-287). Elsevier
Conference proceedings papers
- 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
- Emulation-based Uncertainty and Sensitivity Analysis of a multi-zone dwelling. IBPSA-England Building Simulation and Optimization 2020
- Research group
Marie Curie Fellowship in September 2014, hosted at the Stuttgart University of Applied Sciences (HfT Stuttgart), Germany, to pursue my doctoral research at The University of Nottingham, UK.
- Teaching interests
I am interested in teaching and supporting students in enhancing their problem solving and transferable skills through their coursework, special study projects, dissertations and research topics. I have interests in adapting well-researched teaching practices such as flipped classrooms so that students can come with and ask their own questions as per their preferred way of learning.
- Teaching activities
I teach Building performance simulation to UG Year 4 Civil engineering students in autumn semester and Renewable energy technologies to PGT Sustainable architecture studies students in spring semester.
I am co-supervising Sergio Aguilar on his PhD research project on “Balancing affordability and environmental sustainability in incremental housing in Peru: an agent-based approach”. (started in October 2019)
- Professional activities
- Member of ISPRS Working Group IV/10 on “Advanced geospatial applications for smart cities and regions”
- Member of OGC CityGML Energy ADE Consortium