Multi-period Optimization Model for the UAE Power Sector

AbstractA multi-period power optimization model for the UAE's electricity sector is presented. The model aims to minimize the cumulative costs and CO2 emission of the UAE's power sector during the planning horizon. The optimization problem was formulated as a multi-period MILP model in the GAMS modelling system. Previous studies have analyzed the UAE power infrastructure using standard simulation software such as MARKAL and MESSAGE. The present work's novelty consists of determining the optimal evolution of the power generation infrastructure during different time periods under operational and environmental constraints. The optimization model was used to study the UAE's power system for the time periods comprised between the years 2015 and 2040. The simulation results show that the mathematical model is a valuable tool for planning the optimal evolution of the power plants’ fleet in the country, reduce levelized electricity costs and emissions, meet energy targets, and evaluate new power technologies

Supply Chain Management Concepts Applied in the Oil & Gas Industry – A review of literature

The recent trends in the oil gas has shown volatility in this market and the low oil prices has influenced this industry in a big way. The researchers and practitioners in this field have realized the importance of efficient Supply Chain Management (SCM) to have competitive edge in this industry. The dynamic nature of the supply as well as the demand has contributed to the unique challenges in managing the supply chain in this sector. The main objective of this study is to understand the application of different SCM concepts in the Oil and Gas industry. The study involved the systematic literature review of the various articles published by prominent researchers in this field in reputed journals and databases like Scopus, Web of Science (WOS). The findings have identified 52 different models of SCM which are used in the oil gas industry. This study is a contribution to the body of knowledge regarding the use of SCM concepts in oil and gas industry. Future studies can use this as a reference to understand the existing SCM concept in this industry and base their empirical study the suitability and influence of these concepts on the efficient supply chain management in Oil gas industry

Optimal processing route for the utilization and conversion of municipal solid waste into energy and valuable products

The final publication is available at Elsevier viahttp://dx.doi.org/10.1016/j.jclepro.2017.10.335 © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/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 valuable products. In this study, a systematic framework is developed for the superstructure-based optimization of MSW processing routes. The proposed superstructure includes the potential technological alternatives (such as recycling, composting, anaerobic digestion with electricity generation, gasification followed by catalytic transformation, gasification with electricity generation, plasma arc gasification with electricity generation, pyrolysis with electricity generation, incineration with electricity generation, and landfill with electricity generation) for producing valuable products from MSW. Based on the developed superstructure, a mixed integer nonlinear programming (MINLP) model is developed to identify the optimal MSW processing pathways considering two different MSW handling scenarios. For ease of the solution, the MINLP model is linearized to its equivalent MILP form, and solved in GAMS. The solution to the optimization problem provides the optimal/promising route for the synthesis of useful products from MSW under chosen economic objective function. The developed framework is applied on a case study of Abu Dhabi Emirate to find the optimal processing pathway for handling and processing of MSW into energy and value-added products. The optimization results show that an integrated pathway comprising of recycling the recyclable components of MSW along with the production of bioethanol from the rest of the waste via gasification followed by catalytic transformation can provide potential economic benefits. A sensitivity analysis is also executed to investigate the effect of key economic and technical parameters on the optimization results.Research office of the Petroleum Institute, Abu Dhab

Patent foramen ovale closure in young Patients with cryptogenic stroke: a case series and follow up from Saudi population.

One quarter of cerebral infarctions are cryptogenic and most of these patients are young. Patent Foramen Ovale (PFO) is found to be more prevalent in young persons with cryptogenic stroke and risk of stroke recurrence in such patients ranges from as low as 2% per annum to as high as 12% per annum. Since patients with PFO and cryptogenic stroke are young they need more effective ways to reduce risk of stroke recurrence hence percutaneous closure of PFO seems reasonable approach to deal with this etiology of stroke in such population. We report four cases of cryptogenic stroke in young Saudi patients. PFO closure was performed in all. After closure, none of them developed either recurrence of symptoms or any complication on follow up for more than one year

Importance of microalgae and municipal waste in bioenergy products hierarchy—integration of biorefineries for microalgae and municipal waste processing : A review

In the context of global advancements, the imperative of a sustainable energy supply looms large. Biomass, an adaptable and renewable resource, has garnered attention for its potential contributions, although economic uncertainties persist due to the intricate web of processing pathways. In response, the biorefinery concept emerges as a structured strategy to optimize the processing of microalgae and municipal solid waste (MSW), capitalizing on their multifaceted potential to yield diverse end-products. This review underscores the critical significance of a cohesive biorefinery paradigm that unites the processing of microalgae and MSW, unveiling their capacity to generate a spectrum of high-value products. The utilization of mixed-integer linear programming paves the way for an optimal biorefinery model that navigates through complex decisions. Challenges encompass the array of diverse feedstocks and the preliminary nature of data availability. The overarching goal of this research is to discern optimal pathways for the conversion of MSW and microalgae into energy and valuable products, with a focus on enhancing waste utilization and augmenting the energy supply. In the broader landscape, this comprehensive review advances strategies for sustainable energy generation and waste management, invigorating innovative approaches to shape future progress. By illuminating pathways towards maximizing the potential of biomass resources, this review contributes to the ongoing discourse on sustainable energy and waste utilization

Coinfections in patients hospitalized with COVID-19: a descriptive study from the United Arab Emirates

Purpose: Microbial coinfections in COVID-19 patients carry a risk of poor outcomes. This study aimed to characterize the clinical and microbiological profiles of coinfections in patients with COVID-19. Methods: A retrospective review of the clinical and laboratory records of COVID-19 patients with laboratory-confirmed infections with bacteria, fungi, and viruses was conducted. Only adult COVID-19 patients hospitalized at participating health-care facilities between February 1 and July 31, 2020 were included. Data were collected from the centralized electronic system of Dubai Health Authority hospitals and Sheikh Khalifa General Hospital Umm Al Quwain. Results: Of 29,802 patients hospitalized with COVID-19, 392 (1.3%) had laboratory-confirmed coinfections. The mean age of patients with coinfections was 49.3± 12.5 years, and a majority were male (n=330 of 392, 84.2%). Mean interval to commencement of empirical antibiotics was 1.2± 3.6) days postadmission, with ceftriaxone, azithromycin, and piperacillin–tazobactam the most commonly used. Median interval between admission and first positive culture (mostly from blood, endotracheal aspirates, and urine specimens) was 15 (IQR 8– 25) days. Pseudomonas aeruginosa, Klebsiella pneumoniae, and Escherichia coli were predominant in first positive cultures, with increased occurrence of Stenotrophomonas maltophilia, methicillin-resistant Staphylococcus aureus, Acinetobacter baumannii, Candida auris, and Candida parapsilosis in subsequent cultures. The top three Gram-positive organisms were Staphylococcus epidermidis, Enterococcus faecalis, and Staphylococcus aureus. There was variability in levels of sensitivity to antibiotics and isolates harboring mecA, ESBL, AmpC, and carbapenemase-resistance genes were prevalent. A total of 130 (33.2%) patients died, predominantly those in the intensive-care unit undergoing mechanical ventilation or extracorporeal membrane oxygenation. Conclusion: Despite the low occurrence of coinfections among patients with COVID-19 in our setting, clinical outcomes remained poor. Predominance of Gram-negative pathogens, emergence of Candida species, and prevalence of isolates harboring drug-resistance genes are of concern

Design and operation of a future hydrogen supply chain

Imperial Users onl

Design and operation of a future hydrogen supply chain

EThOS - Electronic Theses Online ServiceGBUnited Kingdo