Optimization of Greenhouse Gas Emissions Through Simulation Modeling: Analysis and Interpretation

Abstract

This chapter presents a brief review on the computational model used for the simulation and optimization of Greenhouse Gases (GHGs) for the abatement of climate change. The description of different types of model is given which are used for the simulation of GHGs to address the climate change. The detailed and extensive descriptions of the physical processes of climate change have been explained by a more sophisticated tool like general circulation model which are tested directly or indirectly through back-casting of historical climate data. These models are grounded theoretically and empirically with physical laws. These models are described to clear the significant uncertainties about the transportation of the greenhouse gases (GHGs) pollutants through the atmosphere and the effect of GHGs on the rainfall, sea level, atmospheric and oceanic temperature. The multi-equation computer models like integrated assessment models (IAMs) are also described for addressing climate change to evaluate the profits and cost of climate strategy options. These models answered the question like how we can avoid global warming at a lower cost. The different models are described in detail in the chapter which are used for the simulation of GHGs for curtailing the climate change. These models are addressing the need of transformation in the energy system, adoption of new technology like low-carbon technology, different scenario analyses and economic approaches for reducing the GHGs emissions in the atmosphere.