The municipalities of large Iranian cities require regular air pollutant emission monitoring for motor vehicles. The record d data include information about commonly regulated air pollutants and motor vehicle characteristics which were randomly selected and studied from the Tehran database. Regression analysis was found ineffective in modeling the relationships among air pollutant, meteorological and motor vehicle characteristics. However, the artificial neural network, ANN modeling’s seemed to be a useful tool for prediction of air pollutants. The developed ANN models were found 0 be superior to the developed regression models. Application of the study approach and results could improve motor vehicle air quality monitoring and control activities for urban areas.

Globally excessive consumption of hydrocarbon fuel in transport sector is a serious threat to the civilization due to the paucity of fuel in future. Also this growing use of vehicles for transport is contributing about 70% of total air pollution and causing environmental and ecological imbalances. Thus the worldwide fast depletion of conventional energy resources and impact of emissions on environment necessitates the search of alternative non-conventional energy sources, and other direct energy conversion systems. This paper deals with the study of sustainable renewable energy resources and their conversion system. Air has been considered as a sustainable renewable energy resource and an emission free compressed air driven engine has been analyzed for better and sustainable energy future in this paper. Here parametric study of a vane type novel air turbine is carried out for arriving at optimal turbine specifications and operating conditions. The optimum power output obtained ranges from: 1.0 kW, 4.0 kW and 9.0 kW at D=50 mm, 100 mm and 150 mm respectively, when rotor/ casing ratio (d/D) = 0.70, vane angle (q) is kept 30o to 45o (vanes =12 to 8 nos.), and other parameters such as: injection angle (60o), injection pressure (6 bar) and speed of rotation (2500 rpm) are kept constant throughout the study.

This study investigates the influence of propeller slipstream on the aerodynamic characteristics of a Transition Micro Air Vehicle (TMAV). The TMAV under consideration comprises a cylindrical body, planar wing, and X-tails. Wind tunnel testing and numerical simulations were performed on TMAV configurations both with and without a propeller at various advance ratios (J = 0.45, 0.55, 0.65, and 0.75). The angle of attack ranged from -8° to +8° in increments of 4°, and from +8° to +16° in increments of 1°. The findings indicate that propeller slipstream significantly alters the flow field around the TMAV components, leading to a reduction in overall aerodynamic performance and stability. Specifically, the slipstream downwash decreased the lift and drag of the port wing and certain tails, while the slipstream upwash increased the lift and drag of the starboard wing and other tails, resulting in earlier stall occurrences under slipstream conditions. Furthermore, it was observed that aerodynamic performance improves as the propeller advance ratio decreases. The data obtained from this study elucidate the effects of propeller slipstream on the aerodynamic performance of wing and X-tail combined MAVs. Currently, there is a lack of literature addressing the effects of propeller slipstream on the aerodynamics of wing and X-tail combined MAV configurations. This study provides valuable insights into the aerodynamic behavior of this TMAV under the influence of propeller slipstream.