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This paper presents an artificial neural network model that is able to predict ozone concentrations as a function of meteorological conditions and precursor concentrations. The network was trained using data collected during a period of 60 days near an industrial area in Kuwait. A mobile monitoring station was used for data collection. The data were(More)
Distributed Model Predictive Control (DMPC) has received significant attention in the literature. However, the robustness of DMPC with respect to model errors has not been explicitly addressed. In this paper, an online algorithm that deals explicitly with model errors for DMPC is proposed. The algorithm requires decomposing the entire system into N(More)
This paper analyses the feasibility of optimally utilizing Ontario’s grid potential for charging Plug-in Hybrid Electric Vehicles (PHEVs) during off-peak periods. Based on a simplified zonal model of Ontario’s electricity transmission network and a zonal pattern of base-load generation capacity from 2009 to 2025, an optimization model is developed to find(More)
This paper considers the problem of reducing CO2 emissions from a power grid consisting of a variety of power-generating plants: coal, natural gas, nuclear, hydroelectric, and alternative energy. The problem is formulated as a mixed integer linear program (MILP) and implemented in GAMS (General Algebraic Modeling System). Preprocessing and variable(More)
This work proposes a hybrid of stochastic programming (SP) approaches for an optimal midterm refinery planning that addresses three sources f uncertainties: prices of crude oil and saleable products, demands, and yields. An SP technique that utilizes compensating slack variables is mployed to explicitly account for constraints’ violations to increase model(More)
In this paper, we present the application of a newly designed surfactant molecule for enhancing the flow properties of heavy/viscous crude oils. A novel surfactant molecule was designed through an economic processing technique. The rheological behavior of heavy crude oil/aqueous solution of surfactant emulsions as well as heavy crude oil/surfactant(More)
The extraction of nimbin from neem seeds using supercritical carbon dioxide is investigated in this paper. A model that accounts for intraparticle diffusion (De) and external mass transfer of nimbin (kf) is presented for the supercritical extraction process. Mass transfer is based on local equilibrium adsorption between solute (nimbin) and solid (neem(More)
A systematic approach was developed to identify and optimize the essential amino acids in defined minimal medium for the production of recombinant human interleukin 3 (rHuIL-3) by Streptomyces lividans. Starvation trials were carried out initially to narrow down the number of probable essential amino acids from an initial number of 20 to 8. Then a screening(More)