Author
Mousa S. Mohsen
Other affiliations: Applied Science Private University, University College of Engineering
Bio: Mousa S. Mohsen is an academic researcher from Hashemite University. The author has contributed to research in topics: Desalination & Reverse osmosis. The author has an hindex of 27, co-authored 44 publications receiving 2064 citations. Previous affiliations of Mousa S. Mohsen include Applied Science Private University & University College of Engineering.
Papers
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TL;DR: In this article, the authors used analytical hierarchy process (AHP) methodology to perform a comparison between the different electricity power production options in Jordan, in addition to fossil fuel power plants, are nuclear, solar, wind, and hydro-power.
201 citations
TL;DR: In this article, the effect of using different absorbing materials in a solar still, and thus enhancing the productivity of water, was studied, and it was shown that using an absorbing black rubber mat increased the daily water productivity by 38%. Using black ink increased it by 45%.
194 citations
TL;DR: In this article, the authors used a basin type solar still with various cover tilt angles of 15, 25, 35, 45, 55 and 55° to study the effect of salinity of water on solar distillation.
168 citations
TL;DR: In this article, a decision-support system for the evaluation and selection of potential non-conventional water resources supply; these include desalination of brackish and seawater, treated waste water, importation of water across boundaries and water harvesting.
129 citations
TL;DR: In this article, the results of a recent survey on energy consumption in the residential sector of Jordan were used to evaluate energy conservation in residential buildings Space heating accounts for 61% of the total residential energy consumption with kerosene as the most popular fuel used for heating.
121 citations
Cited by
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TL;DR: Key parameters of an RO process and process modifications due to feed water characteristics are brought to light by a direct comparison of seawater and brackish water RO systems.
2,665 citations
TL;DR: In this article, the authors 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.
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.
1,868 citations
TL;DR: A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed and it is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE.
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.
1,715 citations
TL;DR: In this paper, an overview of the use of nanomaterials in water purification can be found, highlighting recent advances on the development of novel nanoscale materials and processes for treatment of surface water, groundwater and industrial wastewater contaminated by toxic metal ions, radionuclides, organic and inorganic solutes, bacteria and viruses.
Abstract: Advances in nanoscale science and engineering suggest that many of the current problems involving water quality could be resolved or greatly ameliorated using nanosorbents, nanocatalysts, bioactive nanoparticles, nanostructured catalytic membranes and nanoparticle enhanced filtration among other products and processes resulting from the development of nanotechnology. Innovations in the development of novel technologies to desalinate water are among the most exciting and promising. Additionally, nanotechnology-derived products that reduce the concentrations of toxic compounds to sub-ppb levels can assist in the attainment of water quality standards and health advisories. This article gives an overview of the use of nanomaterials in water purification. We highlight recent advances on the development of novel nanoscale materials and processes for treatment of surface water, groundwater and industrial wastewater contaminated by toxic metal ions, radionuclides, organic and inorganic solutes, bacteria and viruses. In addition, we discuss some challenges associated with the development of cost effective and environmentally acceptable functional nanomaterials for water purification.
1,099 citations
TL;DR: In this paper an attempt is made to review the various energy demand forecasting models to accurately predict the future energy needs.
Abstract: Energy is vital for sustainable development of any nation – be it social, economic or environment. In the past decade energy consumption has increased exponentially globally. Energy management is crucial for the future economic prosperity and environmental security. Energy is linked to industrial production, agricultural output, health, access to water, population, education, quality of life, etc. Energy demand management is required for proper allocation of the available resources. During the last decade several new techniques are being used for energy demand management to accurately predict the future energy needs. In this paper an attempt is made to review the various energy demand forecasting models. Traditional methods such as time series, regression, econometric, ARIMA as well as soft computing techniques such as fuzzy logic, genetic algorithm, and neural networks are being extensively used for demand side management. Support vector regression, ant colony and particle swarm optimization are new techniques being adopted for energy demand forecasting. Bottom up models such as MARKAL and LEAP are also being used at the national and regional level for energy demand management.
1,002 citations