Browsing by Author "Eljack, F."
Now showing items 1-18 of 18
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A pinch analysis approach to environmental risk management in industrial solvent selection
Kazantzi V.; Kazi M.-K.; Eljack F.; El-Halwagi M.M.; Kazantzis N. ( Springer Verlag , 2019 , Article)Abstract: The problem of solvent selection in an industrial process has been examined in a number of different approaches, often including single- and multi-criteria optimization techniques. Traditionally, it has been ... -
A process design approach to manage the uncertainty of industrial flaring during abnormal operations
Kazi M.-K.; Eljack F.; Amanullah M.; AlNouss A.; Kazantzi V. ( Elsevier Ltd , 2018 , Article)Flare management challenges are related to the flaring uncertainty during abnormal situations. In this work, a multi-objective optimization framework is upgraded with multi-period optimization and Monte Carlo simulation ... -
Application of i-SDT for safer flare management operation
Kazi M.-K.; Eljack F.; Al-Sobhi S.A.; Kazantzis N.; Kazantzi V. ( Institution of Chemical Engineers , 2019 , Article)Utilizing unburn flare streams in a safe way represents one of the key challenges during flare alternatives implementation. Most of the time, process safety is considered on a supplemental basis after accomplishing a ... -
Characterization of Industrial Flaring under Uncertainty for the Design of Optimum Flare Recovery and Utilization Systems
Kazi, M.-K.; Eljack, F.; Al-Sobhi, S.A.; Kazantzi, V.; Kazantzis, N. ( Elsevier B.V. , 2022 , Book chapter)One of the main challenges in industrial applications is to optimally manage flare gases that are inevitably generated both in routine and non-routine process operations but can yet constitute valuable energy resources for ... -
Data-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( Elsevier Ltd , 2021 , Article)This work presents an approach for smart manufacturing focusing on Industry 4.0 to predict the load vs. displacement curve of targeted cotton fiber/Polypropylene (PP) composite materials while complying with the required ... -
Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( Elsevier Ltd , 2022 , Article)This paper examines the crashworthiness performance of composite rectangular tubes using experimental and artificial neural network (ANN) techniques. Based on experimentally obtained values of different crashworthiness ... -
Disaster-Resilient Design of Manufacturing Facilities Through Process Integration: Principal Strategies, Perspectives, and Research Challenges
El-Halwagi, M.M.; Sengupta, D.; Pistikopoulos, E.N.; Sammons, J.; Eljack, F.; Kazi, M.-K.... more authors ... less authors ( Frontiers Media S.A. , 2020 , Article)Extreme events cause significant damage and disruption to the manufacturing sector, associated supply chains, and adjacent communities. These disastrous shocks may include natural disasters (e.g., hurricanes, floods, ... -
Generic approach of using dynamic simulation for industrial emission reduction under abnormal operations: Scenario study of an ethylene plant start-up
Dinh, H.; Zhang, S.; Xu, Y.; Xu, Q.; Eljack, F.; El-Halwagi, M.... more authors ... less authors ( American Chemical Society , 2014 , Article)Flare minimization under normal and abnormal operating conditions in large-scale industrial processes, especially for refineries and petrochemical plants, is a double-win practice, which simultaneously benefits industrial ... -
Integration of Safety in the Optimization of Transporting Hazardous Materials
Zhang, C.; Nguyen, C.; Eljack, F.; Linke, P.; El-Halwagi, M.M. ( Springer , 2018 , Article)The development of fully integrated supply chain networks has drawn much attention due to industrial integration and globalization. Inter-plant transportation of chemicals plays a central role in enabling efficient supply ... -
Molecular Property Clustering Techniques
Eljack, F. ( Elsevier B.V. , 2016 , Book chapter)In this work, systematic property clustering methods for molecular design are described. Group contribution first-order estimation methods are coupled with property clustering methods to define the targets of the property ... -
Multi-objective optimization methodology to size cogeneration systems for managing flares from uncertain sources during abnormal process operations
Kazi, M.-K.; Mohammed, F.; AlNouss, A.M.N.; Eljack, F. ( Elsevier Ltd , 2015 , Article)Flaring is common practice in industries to reduce the risk during abnormal situations, to maintain the product quality or to operate safely during process start up and shut down. Due to its large negative impacts on the ... -
Optimal filler content for cotton fiber/PP composite based on mechanical properties using artificial neural network
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( Elsevier Ltd , 2020 , Other)In this paper, a machine learning-based approach has been proposed to integrate artificial intelligence during the designing of fiber-reinforced polymeric composites. With the help of the proposed approach, an artificial ... -
Optimal Scheduling of Biodiesel Plants through Property-based Integration with Oil Refineries
Kazantzi, V.; Bezergianni, S.; Elms, R.; Eljack, F.; El-Halwagi, M.M. (2011 , Book)This paper addresses the design and scheduling problem of biodiesel plants in conjunction with typical oil refineries via blending of biodiesel and petro-diesel. The feedstocks are often seasonal and their availability and ... -
Practicality of Green H2Economy for Industry and Maritime Sector Decarbonization through Multiobjective Optimization and RNN-LSTM Model Analysis
Kazi, M.-K.; Eljack, F. ( American Chemical Society , 2022 , Article)A green H2 economy's practicality depends highly on multisector decarbonization and cost-benefit analyses of the supply chain, including production routes, techno-economic performance, storage, and transportation. In this ... -
Predictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
Kazi, M.-K.; Eljack, F.; Mahdi, E. ( Elsevier Ltd , 2020 , Article)In this paper, artificial neural network (ANN) models are developed to predict the load-displacement curves for better understanding the behavior of cotton fiber/polyvinyl chloride (PVC) composites. Series of experiments ... -
Process Dynamic Analysis and Control Strategy for COGEN option Used for Flare Utilization
Kazi, Monzure Khoda; Eljack, F.; Al-Sobhi, Saad Ali; Kazantzis, Nikolaos; Kazantzi, Vasiliki ( Elsevier B.V. , 2019 , Book chapter)The aim of this work is to develop suitable process dynamic analysis and control strategies for implementing cogeneration unit (COGEN) as a flare utilization alternative to handle unexpected disturbances from unknown and ... -
Prospects and Challenges of Green Hydrogen Economy via Multi-Sector Global Symbiosis in Qatar
Eljack, F.; Kazi, M.-K. ( Frontiers Media S.A. , 2020 , Article)Low carbon hydrogen can be an excellent source of clean energy, which can combat global climate change and poor air quality. Hydrogen based economy can be a great opportunity for a country like Qatar to decarbonize its ... -
Status of renewable energy in the GCC region and future opportunities
Elrahmani, A.; Hannun, J.; Eljack, F.; Kazi, M.-K. ( Elsevier Ltd , 2021 , Article)The Gulf Cooperation Council (GCC) countries are committed to boosting the proportion of renewable energy (RE) in their overall energy mix to reduce the economic reliance on fossil fuels. The governments and regulatory ...