Adaptive Smart Retrofitting for Historical Buildings: Innovative Integration of Sustainable Wall Technologies with Energy AI-based feedback system.
These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Please note: you will automatically be entered into the competition for the Full Award, unless you state otherwise in your application.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).
This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Casillo, M., Colace, F., Gupta, B. B., Lorusso, A., Marongiu, F., & Santaniello, D. (2022). A Deep Learning Approach to Protecting Cultural Heritage Buildings Through IoT-Based Systems. 2022 IEEE International Conference on Smart Computing (SMARTCOMP), Helsinki, Finland, pp. 252-256. doi: 10.1109/SMARTCOMP55677.2022.00063.
INTO. (2020). Heritage Conservation and the Sustainable Development Goals. Available at: https://www.into.org/app/uploads/2020/11/INTO-members-and-the-SDGs.pdf
Jo, H. H., Yuk, H., Kang, Y., & Kim, S. (2023). Conservation of architectural heritage: Innovative approaches to enhance thermal comfort and promote sustainable usage in historic buildings. Case Studies in Thermal Engineering, 51, 103500. ISSN 2214-157X. https://doi.org/10.1016/j.csite.2023.103500.
Nair, G., Verde, L., & Olofsson, T. (2022). A Review on Technical Challenges and Possibilities on Energy Efficient Retrofit Measures in Heritage Buildings. Energies, 15(20), 7472. https://doi.org/10.3390/en15207472
Peiris, S., Lai, J. H. K., Kumaraswamy, M. M., & Hou, H. (C.). (2023). Smart Retrofitting for Existing Buildings: State of the Art and Future Research Directions. Journal of Building Engineering, 76, 107354. Elsevier. https://doi.org/10.1016/j.jobe.2023.107354
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