International Journal of Global Warming · 2021 · 14 citations · 0 references
Natural SciencesDemographyEconomicsEnergy EconomicsEnvironmental EconomicsEnvironmental ModelingClimate ChangeClimate ProjectionsGlobal WarmingHuman Adaptation To ClimateRenewable EnergyBirth Rate AnalysisCarbon DioxideClimate-energy System ModelingEnergy ConsumptionEnergy Use PredictionGenetic Algorithm OptimizationGenetic Algorithm Variable SelectionWater Cycle Modeling
It is a fact that population and average global temperature on Earth grow fast. Literature shows that many studies have been performed about it. Nevertheless, forecasts are not good. Assuming that the key implied factors are the consumption of energy (from the different types of energy sources) and the birth rate, we suggest in this research, as a first step, to state a stochastic demographic model, including the necessary and adequate economic, environmental and wellbeing variables. This model will be able to optimise, by means of a genetic algorithm, the amount and proportion of the main source types energy consumption as well as the average birth rate in the world, in order to maintain the global present population and mean temperature. The input variables to be optimised (control variables) are the consumptions of: coal, oil, gas, nuclear energy, and renewable energies, as well as, forest area and the birth rate. The scenarios in which to perform the optimisation processes (non-controlled variables) are defined by the Human Development Index. The evolution of other variables such as, for instance, unemployment, carbon dioxide production, gross capital formation, water cycle, etc. is obtained as collateral information.