University of Wah

About: University of Wah is a education organization based out in Rawalpindi, Pakistan. It is known for research contribution in the topics: Per capita income & Rhizobacteria. The organization has 258 authors who have published 466 publications receiving 4719 citations.

Techno-economic analysis for the role of single end energy user in mitigating GHG emission

Abstract: Background: Households, as end energy users, consume grid electricity to meet their energy demands. However, grids across the globe for energy production are majorly based on fossil fuel technology and make the highest contributions to global warming and climate change due to greenhouse gases (GHG) emissions. This generic study aims to investigate the minute role of a single-end energy consumer in GHG mitigation by switching to a rooftop PV system to meet his energy demands and trading surplus energy to the grid through its techno-economic analysis. Method: For the study impact, NASA Meteorological Data are used to select an ideal single energy user equipped with a 10-kW PV system based on annual average daily solar radiation and ambient temperature through MATLAB/Simulink, for 11 populous cities in Pakistan. Helioscope software is used to select tilt and azimuthal angles to maximize the solar radiation intercept. Afterward, RETScreen software is used for cost, financial and GHG analysis. Result and conclusion: A single end energy user equipped with a 10-kW PV system switched to a green energy source from a fossil fuel-based grid has the potential to avoid the burning of 3570.6 L of gasoline by producing 16,832 kWh of green energy per annum, while financially recovering the 10-kW PV system’s 7337$ grid-tied investment in 5 years (equity) and in 9 years (equity) in a 9077$ stand-alone system over its 25-year life. This approach provides relief to end energy users from high priced grid electricity through environmental friendliness by mitigating 8.3 tons of CO2 equivalent emissions per annum from energy production, while providing relief to the main grid by grid stabilization through peak shaving, in the broad sense

Characterization of Upper Indus Basin based on DEM Hypsometric Analysis

Abstract: Assessment of geomorphic stages of catchment areas within Upper Indus Basin (UIB) is carried out through analysis of hypsometry. Hypsometric curves were extracted for each sub-basin from Digital Elevation Model (DEM) of Shuttle Radar Topography Mission (SRTM). Parameters of the Hypsometric Integral (HI), statistical moments like skewness, kurtosis, density skewness and density kurtosis of the curves were also analyzed. Study concluded that UIB is comprised of sub-basins of differential characteristics i.e. young, moderate and well developed. There is a correlation of 0.76 between the basin size and the HI. None of the basins appear to be in Monadnock Stage. The topographic analyses of slope, aspect and percentage snow-cover and land cover classes also validate the high erosion potential of upper reaches of Indus basin.

On chemical reaction and porous medium effect in the MHD flow due to a rotating disk with variable thickness

Abstract: The present analysis describes the magnetohydrodynamic (MHD) axisymmetric flow of a viscous fluid due to a rotating disk with variable thickness. An electrically conducting fluid fills the porous space. The first-order chemical reaction is considered. The equations of the present problem representing the flow of a fluid are reduced into nonlinear ordinary differential equations. Convergent series solutions are obtained. The impacts of the various involved dimensionless parameters on fluid flow, temperature, concentration, skin frction coefficient and Nusselt number are examined. The radial, tangential and axial components of velocity are affected in a similar manner on changing the thickness coefficient of the disk. Similar effects of the disk thickness coefficient are observed for both the temperature and concentration profile.

A Comparison of a Standard Genetic Algorithm with a Hybrid Genetic Algorithm Applied to Cell Formation Problem

Abstract: Though there are a number of benefits associated with cellular manufacturing systems, its implementation (identification of part families and corresponding machine groups) for real life problems is still a challenging task To handle the complexity of optimizing multiple objectives and larger size of the problem, most of the researchers in the past two decades or so have focused on developing genetic algorithm (GA) based techniques Recently this trend has shifted from standard GA to hybrid GA (HGA) based approaches in the quest for greater effectiveness as far as convergence on to the optimum solution is concerned In order to prove the point, that HGAs possess better convergence abilities than standard GAs, a methodology, initially based on standard GA and later on hybridized with a local search heuristic (LSH), has been developed during this research Computational experience shows that HGA maintains its accuracy level with increase in problem size, whereas standard GA looses its effectiveness as the p