Supercapacitors, also known as ultracapacitors or electrochemical double-layer capacitors (EDLCs), have emerged as a remarkable class of energy storage devices. They are bridging the gap between conventional capacitors and batteries.
In his doctoral dissertation Hamed Pourkheirollah explores the behavior of SCs and its practical implications. He focuses on charging and discharging dynamics within series-connected SC modules under varying load conditions. The thesis introduces an innovative exponential model that elegantly captures complex behaviors with less than 4% simulation error over extended time frames (31 days). This model, along with others proposed in the research, addresses challenges such as leakage current and self-discharge, offering practical solutions for real-world applications.
The research extends into the domain of Internet of Things (IoT) applications, advocating for SCs as a viable solution for wireless sensor nodes. The study proposes a refined exponential model to predict the discharge behavior of disposable printed flexible SCs, ensuring concordance with experimental findings and offering a promising avenue for optimal IoT device performance.
The thesis also conducts a meticulous analysis of experimental parameters across printed SCs. Through established models and Monte Carlo simulation techniques, the research unveils statistical distributions and correlations, empowering safer operation, and more informed decision-making.
The exploration further expands to the activation of irreversible visual indicators (IVIs) through printed SCs, highlighting the potential of diverse monomer systems. The results-driven approach solidifies SCs' impact as a versatile energy storage device, emphasizing real-world performance and evidence-based decisions.
The doctoral dissertation of Msc. Hamed Pourkheirollah consists of five interrelated papers.
Public defence on Friday 15 December
The doctoral dissertation of Msc. Hamed Pourkheirollah titled Printed Supercapacitors for Energy Storage and Functional Applications: Modeling, Analysis, and Integration will be publicly examined at the Faculty of Information Technology and Communication Sciences of Tampere University in room TB109 in the Tietotalo building (address: Korkeakoulunkatu 1, Tampere) at 12:00 on Friday 15 December 2023.
The opponent will be Professor Davide Deganelo from Swansea University, UK, and the Custos will be Professor Donald Lupo from Tampere University. The work has also been co-supervised by Professor Matti Mäntysalo from Tampere University.
The doctoral dissertation is available online.
The public defence can be followed via remote connection