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Appointment
- EPSRC UCL Doctoral Prize Fellow
- Bartlett School Env, Energy & Resources
- Faculty of the Built Environment
- Lecturer (Teaching)
- Bartlett School Env, Energy & Resources
- Faculty of the Built Environment
Biography
Dr Virginia Gori has a PhD in Energy and the Built Environment, which she completed at the UCL Energy Institute in 2017 as part of the EPSRC Centre for Doctoral Training in Energy Demand (LoLo). Her doctoral research focused on the development of a novel method for a robust characterisation of the thermophysical properties of building elements from short and seasonal-independent in-situ surveys.
She was later individually awarded an EPSRC Doctoral Prize fellowship on the development of methods for the characterisation of whole-building heat transfer, titled “Bayesian Building Physics: The Rapid Characterisation of Dynamic Building Heat Loss”.
Virginia is currently part-time Research Fellow at the UCL Energy Institute, working on and contributing to the leadership of Subtask D of the IEA Annex 81 “Data-Driven Smart Buildings” programme. Within this role, Virginia is involved in mapping the current technology and innovation landscape in the area of smart-buildings and data-driven building services to evaluate the merits and limitations of adopting data-driven smart building technologies and policies.
She is also part-time Lecturer (teaching) in Building Physics and Engineering at the UCL Institute for Environmental Design and Engineering.
Virginia is technical committee member for the European Committee for Standardisation (CEN) and active member on a number of International Energy Agency Annex programmes.
Research Groups
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Virginia’s research focusses on data-driven operational performance of buildings to gain better insights on the energy performance of the building stock and its potential for retrofit, with a particular focus on historical and traditional buildings.
Her expertise lies at the interface of combining building physics, in-situ monitoring, and data modelling and analysis (including the use Bayesian statistics). She’s also experienced in designing and undertaking long-term monitoring campaigns, and the relative data collection and management process.
Virginia has a keen interest in energy demand reduction in the built environment and sustainable design, both at the urban and building level.
Her expertise lies at the interface of combining building physics, in-situ monitoring, and data modelling and analysis (including the use Bayesian statistics). She’s also experienced in designing and undertaking long-term monitoring campaigns, and the relative data collection and management process.
Virginia has a keen interest in energy demand reduction in the built environment and sustainable design, both at the urban and building level.
Teaching Summary
As part of her Lecturer (teaching) role, Virginia leads the Building Physics & Energy module on the Engineering & Architectural Design MEng programme.
Virginia also co-designed and co-delivered (for 6 years) the Fundamentals of Building Physics course, a 4-week-long introduction to building physics for post-graduate students on the Environmental Design and Engineering MSc and Health, Wellbeing and Sustainable Buildings MSc.
Virginia supervises PhD and masters students on a range of topics related to her research interests. She also acts as personal tutors for undergraduate students.
Academic Background
| 2017 | Doctor of Philosophy | University College London | |
| 2014 | Master of Research | University College London | |
| 2010 | Bachelor of Science | Universita degli Studi di Firenze |
