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Full-Text Articles in Engineering
Long-Term Durability Of Rooftop Grid-Connected Solar Photovoltaic Systems, Chibuisi Chinasaokwu Okorieimoh
Long-Term Durability Of Rooftop Grid-Connected Solar Photovoltaic Systems, Chibuisi Chinasaokwu Okorieimoh
Doctoral
Compared to their initial performance, solar photovoltaic (PV) arrays show long-term performance degradation, resulting in lower like-for-like efficiencies and performance ratios. The long-term durability of polycrystalline silicon (p-Si) solar PV modules in three roof-top grid-connected arrays has been examined. Electrical output, ambient temperature, cell temperature, solar irradiance, solar irradiation, and wind speed data were collected at hourly intervals from 2017 to 2021 from three 50 kWp PV installations in Northern Ireland. The results show the extent to which higher PV temperatures associated with more intense solar radiation decrease efficiency, fill factor and maximum power output for PV arrays in a …
Investigation Of Domestic Level Ev Chargers In The Distribution Network: An Assessment And Mitigation Solution, Arsalan Hussain Zaidi
Investigation Of Domestic Level Ev Chargers In The Distribution Network: An Assessment And Mitigation Solution, Arsalan Hussain Zaidi
Doctoral
This research focuses on the electrification of the transport sector. Such electrification could potentially pose challenges to the distribution system operator (DSO) in terms of reliability, power quality and cost-effective implementation. This thesis contributes to both, an Electrical Vehicle (EV) load demand profiling and advanced use of reactive power compensation (D-STATCOM) to facilitate flexible and secure network operation. The main aim of this research is to investigate the planning and operation of low voltage distribution networks (LVDN) with increasing electrical vehicles (EVs) proliferation and the effects of higher demand charging systems. This work is based on two different independent strands …
Time-Resolved Method For Spectral Analysis Based On Linear Predictive Coding, With Application To Eeg Analysis, Jin Xu
Doctoral
EEG (Electroencephalogram) signal is a biological signal in BCI (Brain-Computer Interface) systems to realise the information exchange between the brain and the external environment. It is characterised by a poor signal-to-noise ratio, is time-varying, is intermittent and contains multiple frequency components. This research work has developed a new parameterised time-frequency method called the Linear Predictive Coding Pole Processing (LPCPP) method which can be used for identifying and tracking the dominant frequency components of an EEG signal. The LPCPP method further processes LPC (Linear Predictive Coding) poles to produce a series of reduced-order filter transfer functions to estimate the dominant frequencies. …