A5044316857- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
- Energy Load and Power Forecasting
- Atmospheric aerosols and clouds
- Impact of Light on Environment and Health
- Atmospheric Ozone and Climate
- Energy and Environment Impacts
- Electric Vehicles and Infrastructure
- Climate variability and models
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Smart Grid Energy Management
- Solar and Space Plasma Dynamics
- Building Energy and Comfort Optimization
- Advanced Battery Technologies Research
- Energy, Environment, and Transportation Policies
- Grey System Theory Applications
- Calibration and Measurement Techniques
- Power Systems and Renewable Energy
- Atmospheric chemistry and aerosols
- Thermal Analysis in Power Transmission
- Wind Energy Research and Development
- Vehicle emissions and performance
- Image Enhancement Techniques
UK Power Networks
2021-2024
National University Cancer Institute, Singapore
2020-2021
National University of Singapore
2020-2021
National Renewable Energy Centre
2021
Asociación de Investigación y Cooperación Industrial de Andalucía
2021
Uppsala University
2021
Université Ibn-Tofail
2021
Universidad de Sevilla
2021
University of South Australia
2021
Australian National University
2017-2019
Synthetic minutely irradiance time series are utilised in non-spatial solar energy system research simulations. It is necessary that they accurately capture fluctuations and variability inherent the resource. This article describes a methodology to generate synthetic from widely available hourly weather observation data. The data used produce set of Markov chains taking into account seasonal, diurnal, pressure influences on transition probabilities cloud cover. Cloud dynamics based power-law...
Residential photovoltaic (PV) technology is expected to have mass global deployment. With widespread PV in the electricity distribution grids, variable nature of solar resource must be understood facilitate reliable operation. This research demonstrates that synthetic, 1-min resolution irradiance time series vary on a spatial dimension can generated based following inputs: mean hourly meteorological observations okta, wind speed, cloud height and atmospheric pressure. The synthetic...
The Engerer2 separation model estimates the diffuse fraction Kd from inputs of global horizontal irradiance, UTC time, latitude, and longitude. was initially parameterized validated on 1-min resolution data for Australia performed best out 140 models in validation studies. This research reparameterizes a training dataset at many common temporal resolutions (1-min, 5-min, 10-min, 15-min, 30-min, 1-h, 1-day), so that it may be more easily implemented future; need user to perform prerequisite...
Synthetic solar irradiance models that generate time series are often trained on too few sites with limited climatic diversity. This results in which overfit and cannot be globally applied. The impact of training data for energy applications is relatively unexplored and, therefore, importance. A new Markov-downscaling methodology proposed to test diverse datasets. In terms synthetic global horizontal (GHI) generation, occasionally, Markov downscaling was found validate excellently, whereas...