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  Innovative Energy Harvesting Solutions for Cyber-Secured Green Buildings


   School of Computing, Engineering & the Built Environment

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  Prof I Shyha, Prof A Al-Dubai, Assoc Prof Suha Jaradat  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The built environment is approximately contributing to 30% of the total global energy consumption and around 27% of energy sector emissions. This multidisciplinary project aims to develop new techniques for harvesting energy from footsteps and acoustic energy sources (zero-net resources such as footstep mats, flexible solar panels, and sound detection) that can be used in green buildings, where data are collected, processed, and secured by a cyber-security system.

The plan includes both synthesis and characterisation of piezoelectric nanofiber mats according to different mechanical/acoustic excitations. Subsequently, such mats will be embedded with electric setups within carpets and curtains. Besides, such a piezo system will be aligned with commercial flexible solar panels to coordinate the reception of harvested energy from multiple renewable resources inside the buildings. Then, a scenario of a user-centric and secure dashboard platform along with its cyber-security is presented for a completely automated and trustworthy green building. All the outputs aim to achieve the main aim of the project by offering innovatively automated and secured solutions for zero-net energy buildings. This project contributes to developing more features of the current initiated effort of green buildings, generating fundamental knowledge that will be ripe for exploitation in a range of novel technological areas regarding sustainability and security.

Perspective applicants are encouraged to contact the Supervisor before submitting their applications. Applications should clearly refer to the project you are applying for and the name of the supervisors. The built environment is approximately contributing to 30% of the total global energy consumption and around 27% of energy sector emissions. This multidisciplinary project aims to develop new techniques for harvesting energy from footsteps and acoustic energy sources (zero-net resources such as footstep mats, flexible solar panels, and sound detection) that can be used in green buildings, where data are collected, processed, and secured by a cyber-security system.

The plan includes both synthesis and characterisation of piezoelectric nanofiber mats according to different mechanical/acoustic excitations. Subsequently, such mats will be embedded with electric setups within carpets and curtains. Besides, such a piezo system will be aligned with commercial flexible solar panels to coordinate the reception of harvested energy from multiple renewable resources inside the buildings. Then, a scenario of a user-centric and secure dashboard platform along with its cyber-security is presented for a completely automated and trustworthy green building. All the outputs aim to achieve the main aim of the project by offering innovatively automated and secured solutions for zero-net energy buildings. This project contributes to developing more features of the current initiated effort of green buildings, generating fundamental knowledge that will be ripe for exploitation in a range of novel technological areas regarding sustainability and security.

Perspective applicants are encouraged to contact the Supervisor before submitting their applications. Applications should clearly refer to the project you are applying for and the name of the supervisors.

Academic qualifications

A first degree (at least a 2.1) ideally in Mechanical Engineering with a good fundamental knowledge of Materials Science, sustainable building design and cybersecurity.

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

  • Experience of fundamental Materials Science and Manufacturing
  • Competent in conducting laboratory experimentation and data analysis
  • Knowledge of materials characterisation, sustainable building design and cybersecurity
  • Good written and oral communication skills
  • Strong motivation, with evidence of independent research skills relevant to the project
  • Good time management

Desirable attributes:

  • Some understanding of green and zero-net energy buildings, cybersecurity and architectural engineering.

For enquiries about the content of the project, please email Professor Islam Shyha [Email Address Removed]

For information about how to apply, please visit our website https://www.napier.ac.uk/research-and-innovation/research-degrees/how-to-apply

To apply, please select the link for the PhD Computing FT application form.

Computer Science (8) Engineering (12) Materials Science (24)

References

Bedi, G., Venayagamoorthy, G.K., Singh, R., Brooks, R.R. and Wang, K.C., 2018. Review of Internet of Things (IoT) in electric power and energy systems. IEEE Internet of Things Journal, 5(2), pp.847-870.
Elnabawy, E., Farag, M., Soliman, A., Mahmoud, K., Shehata, N., Nair, R., Kandas, I., Atif, R., Combrinck, M., Khaliq, J. and Shyha, I., 2021. Solution blow spinning of piezoelectric nanofiber mat for detecting mechanical and acoustic signals. Journal of Applied Polymer Science, 138(45), p.51322.
Omran, N., Elnabawy, E., Le, B., Trabelsi, M., Gamal, M., Kandas, I., Hassanin, A.H., Shyha, I. and Shehata, N., 2022. Solution blow spun piezoelectric nanofibers membrane for energy harvesting applications. Reactive and Functional Polymers, 179, p.105365.
Su Peng, Liang Zhao, Ahmed Al-Dubai, Albert Y. Zomaya, Jia Hu, Geyong Min, Qiang Wang, Secure Lightweight Stream Data Outsourcing for Internet of Things. IEEE Internet Things Journal, 8(13): 10815-10829 (2021).
B. Ghaleb, A. Al-Dubai, E. Ekonomou, M. Qasem, I. Romdhani and L. Mackenzie, "Addressing the DAO Insider Attack in RPL’s Internet of Things Networks," in IEEE Communications Letters, vol. 23, no. 1, pp. 68-71, Jan. 2019, doi: 10.1109/LCOMM.2018.2878151.
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 About the Project