Rustom Mamlook

Bio: Rustom Mamlook is an academic researcher from Arabian Gulf University. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 9, co-authored 26 publications receiving 579 citations. Previous affiliations of Rustom Mamlook include Applied Science Private University & Philadelphia University (Jordan).

Fuzzy sets analysis for leak detection in infrastructure systems: a proposed methodology

Abstract: This paper aims to propose a methodology for detecting problems in environmental and infrastructure systems using a fuzzy set technique. The proposed methodology was applied to a case study in water distribution systems for validation. Relative weights for three scenarios of leak detection were used, i.e. leakage, possible leakage, and no leakage. The study reveals that the major factors that affect leakage are: pipe age, pipe material, operational aspects, and demand patterns.

Fuzzy sets analysis for ballast water treatment systems: best available control technology

Abstract: An overview on various ballast water treatment (BWT) technologies aboard different types of ships is presented. These technologies are: (1) Filtration, (2) Cyclonic systems, (3) Heat treatment, (4) Chemical treatment, (5) Ultraviolet radiation, (6) Ultrasound, (7) Electroporation, and (8) Radiolysis. These technologies are proven technologies for BWT in the marine industry. The fuzzy sets methodology is used to perform a comparison among these different Ballast water systems to choose the best available control technology that should be given the highest priority in terms of development and research. The main objective of this paper is to determine the order in which ballast water systems should be given higher priority to be installed to tackle the world wide ballast water pollution problem. These systems are compared according to their benefits and cost. Based on the benefit to cost ratio, the results show that the filtration treatment appears to be the method that will provide the best combination of effective treatment and feasibility. The next two options are the use of ultraviolet and ultrasound. All these three options could be used to produce effective and reliable BWT with minimum cost and optimum benefits in terms of issues related to effectiveness, reliability, global benefits, and safety. The least options are radiolysis and chemical treatment due to their high costs and low safety factors. Also this study tries to clear the way for developing new and existing technology, and to provide a platform for successful treatment solution.

Review on multi-criteria decision analysis aid in sustainable energy decision-making

Abstract: Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO2 emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.

Application of multi-criteria decision making to sustainable energy planning—A review

Abstract: Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in sustainable energy management. The techniques provide solutions to the problems involving conflicting and multiple objectives. Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed. A classification on application areas and the year of application is presented to highlight the trends. It is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple methods, development of interactive decision support systems and application of fuzzy methods to tackle uncertainties in the data is observed in the published literature.

Solar energy for future world: - A review

Abstract: World׳s energy demand is growing fast because of population explosion and technological advancements. It is therefore important to go for reliable, cost effective and everlasting renewable energy source for energy demand arising in future. Solar energy, among other renewable sources of energy, is a promising and freely available energy source for managing long term issues in energy crisis. Solar industry is developing steadily all over the world because of the high demand for energy while major energy source, fossil fuel, is limited and other sources are expensive. It has become a tool to develop economic status of developing countries and to sustain the lives of many underprivileged people as it is now cost effective after a long aggressive researches done to expedite its development. The solar industry would definitely be a best option for future energy demand since it is superior in terms of availability, cost effectiveness, accessibility, capacity and efficiency compared to other renewable energy sources. This paper therefore discusses about the need of solar industry with its fundamental concepts, worlds energy scenario, highlights of researches done to upgrade solar industry, its potential applications and barriers for better solar industry in future in order to resolve energy crisis.

Modeling of hybrid renewable energy systems

Abstract: Hybrid renewable energy systems (HRES) are becoming popular for remote area power generation applications due to advances in renewable energy technologies and subsequent rise in prices of petroleum products. Economic aspects of these technologies are sufficiently promising to include them in developing power generation capacity for developing countries. Research and development efforts in solar, wind, and other renewable energy technologies are required to continue for, improving their performance, establishing techniques for accurately predicting their output and reliably integrating them with other conventional generating sources. The paper describes methodologies to model HRES components, HRES designs and their evaluation. The trends in HRES design show that the hybrid PV/wind energy systems are becoming gaining popular. The issues related to penetration of these energy systems in the present distribution network are highlighted.

A review of principle and sun-tracking methods for maximizing solar systems output

Abstract: Finding energy sources to satisfy the world's growing demand is one of society's foremost challenges for the next half-century. The challenge in converting sunlight to electricity via photovoltaic solar cells is dramatically reducing $/watt of delivered solar electricity. In this context the sun trackers are such devices for efficiency improvement. The diurnal and seasonal movement of earth affects the radiation intensity on the solar systems. Sun-trackers move the solar systems to compensate for these motions, keeping the best orientation relative to the sun. Although using sun-tracker is not essential, its use can boost the collected energy 10–100% in different periods of time and geographical conditions. However, it is not recommended to use tracking system for small solar panels because of high energy losses in the driving systems. It is found that the power consumption by tracking device is 2–3% of the increased energy. In this paper different types of sun-tracking systems are reviewed and their cons and pros are discussed. The most efficient and popular sun-tracking device was found to be in the form of polar-axis and azimuth/elevation types.