User profiles for Ali Elkamel
Ali ElkamelProfessor of Chemical Engineering, Khalifa University, University of Waterloo Verified email at uwaterloo.ca Cited by 15188 |
Optimal transition to plug-in hybrid electric vehicles in Ontario, Canada, considering the electricity-grid limitations
This paper analyzes 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 …
plug-in hybrid electric vehicles (PHEVs) during off-peak periods. Based on a simplified zonal …
A multi-period optimization model for energy planning with CO2 emission consideration
H Mirzaesmaeeli, A Elkamel, PL Douglas… - Journal of environmental …, 2010 - Elsevier
A novel deterministic multi-period mixed-integer linear programming (MILP) model for the
power generation planning of electric systems is described and evaluated in this paper. The …
power generation planning of electric systems is described and evaluated in this paper. The …
Sustainability indicators for decision-making and optimisation in the process industry: The case of the petrochemical industry
G Al-Sharrah, A Elkamel, A Almanssoor - Chemical Engineering Science, 2010 - Elsevier
This paper brings into focus simple sustainable development indicators to be used in the
planning of the petrochemical industry. The indicators cover the three aspects of sustainability—…
planning of the petrochemical industry. The indicators cover the three aspects of sustainability—…
Design and experimental investigation of portable solar thermoelectric refrigerator
SA Abdul-Wahab, A Elkamel, AM Al-Damkhi, A Is' Haq… - Renewable energy, 2009 - Elsevier
The main objective of this study is to design and build an affordable solar thermoelectric
refrigerator for the Bedouin people (eg deserts) living in remote parts of Oman where electricity …
refrigerator for the Bedouin people (eg deserts) living in remote parts of Oman where electricity …
Deep learning-based forecasting approach in smart grids with microclustering and bidirectional LSTM network
Uncertainty modeling of renewable energy sources, load demand, electricity price, etc.
create a high volume of data in smart grids. Accordingly, in this article, a precise forecasting …
create a high volume of data in smart grids. Accordingly, in this article, a precise forecasting …
Optimal processing route for the utilization and conversion of municipal solid waste into energy and valuable products
A systematic design of municipal solid waste (MSW) management system can lead to identify
a promising and/or sustainable way of handling MSW by processing it into energy and …
a promising and/or sustainable way of handling MSW by processing it into energy and …
A new correlation for predicting hydrate formation conditions for various gas mixtures and inhibitors
AA Elgibaly, AM Elkamel - Fluid Phase Equilibria, 1998 - Elsevier
In the last 50 years, several studies have been performed on the measurement and prediction
of hydrate forming conditions for various gas mixtures and inhibitors. Yet, the correlations …
of hydrate forming conditions for various gas mixtures and inhibitors. Yet, the correlations …
Modeling and optimization of a network of energy hubs to improve economic and emission considerations
Energy hubs that incorporate a variety of energy generation and energy transformation
technologies can be used to provide the energy storage needed to enable the efficient operation …
technologies can be used to provide the energy storage needed to enable the efficient operation …
A robust optimization approach for planning the transition to plug-in hybrid electric vehicles
This paper proposes a new technique to analyze the electricity and transport sectors within
a single integrated framework to realize an environmentally and economically sustainable …
a single integrated framework to realize an environmentally and economically sustainable …
Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization
Reservoir characterization involves describing different reservoir properties quantitatively
using various techniques in spatial variability. Nevertheless, the entire reservoir cannot be …
using various techniques in spatial variability. Nevertheless, the entire reservoir cannot be …