Modelling, Simulation and Parameter Identification of Active Pollution Reduction with Photovoltaic Asphalt
This work addresses the problem of urban air pollution for environmental engineers and urban planners, but the results are preliminary and the approach is incremental.
The authors developed a numerical model to simulate how photovoltaic asphalt reduces nitrogen monoxide pollution in urban traffic environments, and provided a parameter estimation process to find missing parameters. The model was trained and compared with different datasets.
We develop and implement a numerical model to simulate the effect of photovoltaic asphalt on reducing the concentration of nitrogen monoxide due to the presence of heavy traffic in an urban environment. The contributions in this paper are threefold: we model and simulate the spread and breakdown of pollution in an urban environment, we provide a parameter estimation process that can be used to find missing parameters, and finally, we train and compare this simulation with different data sets. We analyze the results and provide an outlook on further research.