Modelling, Simulation and Parameter Identification of Active Pollution Reduction with Photovoltaic Asphalt

TL;DR

This paper presents a numerical model to simulate and analyze how photovoltaic asphalt can reduce nitrogen monoxide pollution in urban areas, including parameter estimation and data comparison.

Contribution

It introduces a comprehensive simulation framework for pollution reduction with photovoltaic asphalt, including parameter identification and validation against data.

Findings

Simulation shows potential pollution reduction effectiveness.

Parameter estimation improves model accuracy.

Comparison with data validates the model's predictive capability.

Abstract

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.