The indoor airflow with a natural ventilation system was numerically calculated using the laminar and turbulent approach. In the chemical laboratory of the Technical University of Ambato, the computational code OpenFoam demonstrated an ability to numerically predict flow patterns. The design contemplated the natural ventilation system considering the laboratories’ working conditions not only in summer, but also in a winter week. These two operating conditions are calculated on a fully open and closed environment. For a room with a capacity of 20 people, the climate data average values were recorded at 14.0 ° C, 81.7%, 1.7 m /s for temperature, relative humidity, and wind speed, respectively. Furthermore, the demonstration has shown that the homogeneous occupancy air speed average is was 0.7 m / s with a facade air intake of 1.0 m / s 0.6 m / s in the room valid for the exchange of air and evacuation of pollutants. The maximum pressures were found in the lower part of the laboratory. This prevents the modification of the thermo-hygrometric conditions.

The energy potential of biogas is estimated from the biomass quantity, that is, a biodegradability values obtained from the organic fraction of municipal solid waste (MSW). In this study, the percentage contribution of each and every type of waste was quantified according to the waste classification., In addition, the waste generation data was projected by applying both artificial neural network (ANN) and mathematical models and 4 types of biomass wastes which accounts for a contribution of about 63% of the total waste sampled were obtained. The projection of the weights of the waste was carried out from 2015 to 2030, with the application of the neural network model with Back-propagation. All in all, under the application of the mathematical models, it has been shown that the Ecuadorian model predicted not only a high average volume, but also a large annual value of biogas energy.

It is established that the interprovincial transportation in bus terminals of the Cities such as Ambato, Riobamba, Salcedo, Latacunga and Guaranda have contributed to the build-up of external costs of Greenhouse Gases (GHG) The climate change costs are calculated by multiplying the carbon emissions by the cost factor. To quantify the GHG emissions, this study has taken into account of both the direct and indirect sources of the Greenhouse Gas Protocol (GHG), as well as the ISO 14064.1: 2006 standard. In view thereof, it was found that the 11 bus terminals of the five cities, namely Latacunga, Riobamba Salcedo, Ambato, Guaranda-which accounts for around 3225 buses, had accounted for the emissions of 25,746.8 tCO2eq, 37,404.6 tCO2eq, 8,762.7 tCO2eq, 92,364.9 tCO2eq, 31,990.3 tCO2eq, respectively. Simply, the average load of such pollution produced per vehicle was 60.8 tCO2eq. and the total emissions were 196,269.3 tCO2eq with an estimated GHG contamination cost of €27,477,702 per year.