Autor: Hamdan, Mohammad - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Performance Enhancement of a Photovoltaic Module by Passive Cooling Using Water-Based Aluminum Oxide Nano-Fluid
Autorzy:: Hamdan, Mohammad A.
Powiązania:: https://bibliotekanauki.pl/articles/2086398.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: PV cooling
nanotechnology
PV performance
fined PV
Opis:: The performance of a PV (photovoltaic) module relies heavily on the operating temperature. The aim of the current study was to improve PV performance by passive cooling with nano-coated aluminum fins attached to the backside of the photovoltaic panels. Four identical PV panels were installed side by side for simultaneous measurements. The first one (B) is a basic PV that was used for comparison purposes, the second one (N) PV, which is coated with water-based Al2O3 nano-fluid, the third is finned PV (F), with fins being attached to its backside and the Al2O3 nano-fluid coated fins are attached to the backside of the fourth PV (FN). The hourly electrical generated power by each PV, I-V, and I_V curves for each PV were recorded and stored using I-V Checker. In addition, the backside temperature of each PV and the ambient temperature were measured on an hourly basis using K-type thermocouples; the measured temperature values were stored in a data logger. It was found that the (FN) PV gave the best performance compared to the base unit, with an increase in the generated power by 5.77%, followed by the nanocoated (N) PV with an increase of 2.14% and finally the finned (F) PV with an increase of 0.74%. Furthermore, the PV with the nano-coated fins exhibits the lower temperature 31°C, followed by the nano-coated PV, and finally the fined PV, with the backside average temperature of the basic unit being 39°C.
Źródło:: Journal of Ecological Engineering; 2022, 23, 4; 276--283
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Enhancing the Productivity of a Roof-Type Solar Still Utilizing Alumina Nanoparticles and Vacuum Pump
Autorzy:: Mutlq, Eslam
Hamdan, Mohammad
Al Asfar, Jamil
Powiązania:: https://bibliotekanauki.pl/articles/124311.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: solar still
vacuum pump
nanoparticles
water desalination
Opis:: Unlike conventional fresh water producing systems, from saline or brackish water, the innovative solar water producing systems are efficient and effective. Experiments were conducted on two identical roof-type solar stills and simultaneously tested under the same weather conditions. One of these stills was modified by integrating a vacuum pump to lower the pressure inside while the other still was used as a reference unit. Different concentrations of Al₂O₃ nanoparticles were chosen, 0.2%, 0.4%, and 0.6%, and used with water inside the modified still. It was verified that the modified still, without nanoparticles, yields 34.84% more production than the conventional still. In addition, the modified still with a 0.4% of Al₂O₃ nanoparticles produced the highest percentage of distilled water, 44.42% in comparison to the one without the use of Al₂O₃ nanoparticles, followed by 37.94% and 24.07% for 0.6% and 0.2% of Al₂O₃ nanoparticles, respectively.
Źródło:: Journal of Ecological Engineering; 2019, 20, 4; 187-193
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The Effect of Nanomaterial Type on Water Disinfection Using Data Mining
Autorzy:: Hamdan, Mohammad
Khalil, Rana Haj
Abdelhafez, Eman
Ajib, Salman
Powiązania:: https://bibliotekanauki.pl/articles/24201710.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: water disinfection
artificial neural network
nanotechnology
data mining
Opis:: Multiple linear regression and artificial neural network (ANN) models were utilized in this study to assess the type influence of nanomaterials on polluted water disinfection. This was accomplished by estimating E. coli (E.C) and the total coliform (TC) concentrations in contaminated water while nanoparticles were added at various concentrations as input variables, together with water temperature, PH, and turbidity. To achieve this objective, two approaches were implemented: data mining with two types of artificial neural networks (MLP and RBF), and multiple linear regression models (MLR). The simulation was conducted using SPSS software. Data mining was revealed after the estimated findings were checked against the measured data. It was found that MLP was the most promising model in the prediction of the TC and E.C concentration, s followed by the RBF and MLR models, respectively.
Źródło:: Journal of Ecological Engineering; 2023, 24, 4; 244--251
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Air Quality Assessment and Forecasting Using Neural Network Model
Autorzy:: Hamdan, Mohammad A.
Ata, Mohammad F. Bani
Sakhrieh, Ahmad H.
Powiązania:: https://bibliotekanauki.pl/articles/1838288.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: air pollutant
ANN
MATLAB
forecasting
Opis:: Air pollution is a major obstacle faced by all countries which impacts the environment, public health, socioeconomics, and agriculture. In this study, the air pollutants in the city of Amman were presented and analyzed. Nonlinear Autoregressive Exogenous (NARX) model was used to forecast the daily average levels of pollutants in Amman, Jordan. The model was built using the MATLAB software. The model utilized a Marquardt-Levenberg learning algorithm. Its performance was presented using different indices, R2 (Coefficient of Determination), R (Coefficient of Correlation), NMSE (Normalized Mean Square Error), and Plots representing network predictions vs original data. Historical measurements of air pollutants were obtained from 4 of the Ministry of Environment (MoEnv) air quality monitoring stations in Amman. The meteorological data representing three years (2015, 2016, and 2017) were used as predictors to train the Artificial Neural Network (ANN) while the data of the year 2018 were used to test it. The results showed good performance when forecasting SO2, O3, CO, and NO2, and acceptable performance when forecasting Particulate Matter (PM10) at the given 4 locations.
Źródło:: Journal of Ecological Engineering; 2021, 22, 6; 1-11
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Air Quality Assessment and Forecasting Using Neural Network Model
Autorzy:: Hamdan, Mohammad A.
Ata, Mohammad F. Bani
Sakhrieh, Ahmad H.
Powiązania:: https://bibliotekanauki.pl/articles/1838392.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: air pollutant
ANN
MATLAB
forecasting
Opis:: Air pollution is a major obstacle faced by all countries which impacts the environment, public health, socioeconomics, and agriculture. In this study, the air pollutants in the city of Amman were presented and analyzed. Nonlinear Autoregressive Exogenous (NARX) model was used to forecast the daily average levels of pollutants in Amman, Jordan. The model was built using the MATLAB software. The model utilized a Marquardt-Levenberg learning algorithm. Its performance was presented using different indices, R2 (Coefficient of Determination), R (Coefficient of Correlation), NMSE (Normalized Mean Square Error), and Plots representing network predictions vs original data. Historical measurements of air pollutants were obtained from 4 of the Ministry of Environment (MoEnv) air quality monitoring stations in Amman. The meteorological data representing three years (2015, 2016, and 2017) were used as predictors to train the Artificial Neural Network (ANN) while the data of the year 2018 were used to test it. The results showed good performance when forecasting SO2, O3, CO, and NO2, and acceptable performance when forecasting Particulate Matter (PM10) at the given 4 locations.
Źródło:: Journal of Ecological Engineering; 2021, 22, 6; 1-11
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Enhancement of Solar Water Disinfection Using Nanocatalysts
Autorzy:: Hamdan, Mohammad
Al Louzi, Razan
Al Aboushi, Ahmad
Abdelhafez, Eman
Powiązania:: https://bibliotekanauki.pl/articles/2202290.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: solar water disinfection
nanotechnology
water treatment
solar energy
Opis:: Solar water disinfection (SODIS) is a simple and low-cost method of increasing water quality. However, it takes about 6 hours of exposure to solar radiation. The elimination of harmful pathogenic germs from drinking water can be accelerated using a combination of sun disinfection and nanotechnology. In this study, a hybrid water purification technique using solar water disinfection, Titanium Oxide (TiO2), and natural mineral clays was investigated. TiO2, natural kaolin clay nanoparticles, and a mixture of TiO2 and natural clay were added to contaminated wastewater containers at different concentrations. After that, the containers were exposed to sun light for different time intervals. Samples were then collected from all tests to measure the total counts of Total Coliform and Escherichia coli (E. coli) using the IDEXX system. The results showed that the addition of TiO2 and natural kaolin clay to wastewater with solar water disinfection reduced the total count of the pathogenic microorganisms and decreased the time needed time for the disinfection process compared to using solar energy alone. The results also showed that the optimum concentration of the TiO2, which yielded the shortest purification time and lowest levels of pathogenic microorganisms, was 0.006 g/ml. In co ntrast, the most effective concentratio n of natural clay was 0.0015 g/ml. Moreover, the results showed that the optimum concentration of the mixture of TiO2 and natural clay, which speeds up the purification time an d lowest the level of pathogen ic microorganisms was 0.006 g/ml for TiO2 and 1.2 g/ml for the natural clay.
Źródło:: Journal of Ecological Engineering; 2022, 23, 12; 14--20
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Utilization of Desulfurized Heavy Liquid Fuel Blends in Domestic Boiler
Autorzy:: Al Aboushi, Ahmad
Abdelhafez, Eman
Hamdan, Mohammad
Ajib, Salman
Alsaqoor, Sameh
Powiązania:: https://bibliotekanauki.pl/articles/27323821.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: shale oil
domestic boiler
activated carbon
diesel
sulfur oxide
Opis:: One way to cut down the consumption of diesel fuel in domestic heating in Jordan is to blend it with shale oil, which may be extracted from oil shale. This leads to a cut down in the national fuel bill in Jordan. Unfortunately, shale oil contains significant amounts of sulfur as impurities and upon burning sulfur oxides are emitted causing a negative environmental impact, and hence desulfurization of such fuel blends is essential. This may be achieved by adding activated carbon to the fluids. The process of removing sulfur from shale oil is crucial for safeguarding the environment, human well-being, and equipment, as well as meeting regulatory requirements and creating superior-quality goods. In this study, a domestic boiler was utilized to evaluate the degree of desulfurization process of blends of diesel and shale oil fuels upon their burning in a domestic boiler, to achieve this, blends of both fuels were prepared with varying amounts of shale oil (10%, 20%, 30%, and 40%) and various amounts of activated carbon were added to the prepared mixtures of diesel fuel and shale oil. The assessment of performance included examining the environmental impact, specifically by analyzing exhaust gases to measure the concentration of Sulfur Oxide (SO2). It was found that an increase in the concentration of shale oil in the mixture led to an increase in the concentration of SO2. However, adding more activated carbon to the mixture from the fuels resulted in a decrease in the SO2 concentration. The lowest SO2 concentration was observed when 1g of activated carbon was added per liter of the fuel mixture at a 20% concentration of shale oil, and 0.6g of activated carbon per liter of the fuel mixture at a 40% concentration of oil shale.
Źródło:: Journal of Ecological Engineering; 2023, 24, 7; 225--233
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Corporate sustainability as an antecedent to the financial performance : an empirical study
Zrównoważone przedsiębiorstwo jako determinanta wyników finansowych : badanie empiryczne
Autorzy:: Abughniem, Manal Sulieman
Al Aishat, “Mohammad Adnan” Hilal
Hamdan, Allam
Powiązania:: https://bibliotekanauki.pl/articles/406073.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Częstochowska
Tematy:: sustainability
social responsibility
environmental responsibility
human resources
Tobin’s Q
rozwój zrównoważony
odpowiedzialność społeczna
odpowiedzialność za środowisko
zasoby ludzkie
Q Tobina
Opis:: This paper investigates the impact of sustainability reporting on firm performance. The sample included 186 firms from Amman Stock Exchange during the period of 2014-2017. To achieve this goal, the study measures firm performance using Return on Assets and Tobin’s Q. By using panel random-effect regression, the study found the sustainability reporting is significantly related to performance. Overall, our study results are providing are providing the evidence for the significant and negative influence from environmental responsibility, responsibility of human resource and size and size on return on asset. Whereas the influence of SR on Tobin’s Q is significantly positive but the influence from environmental responsibility, responsibility of human resource and size is significantly negative. More specifically, for the industrial sector, environmental responsibility, responsibility of human resource and size are causing a decline in return on asset, for Tobin’s Q under financial sector, negative influence by social responsibility, and size is observed. Additionally, financial and service sector are facing lower financial performance in terms of return on asset, and Tobin’s Q as observed through size of the selected firms.
Niniejszy artykuł bada wpływ raportów zrównoważonego rozwoju na wyniki firmy. Próba objęła 186 firm z giełdy w Ammanie w okresie 2014-2017. Aby osiągnąć ten cel, badanie bazowało na analizie efektywności przedsiębiorstw przy użyciu Zwrotu z aktywów i analizy Q - Tobina. Dzięki zastosowaniu regresji panelowej z efektem losowym, badanie wykazało, że raportowanie dotyczące zrównoważonego rozwoju jest istotnie powiązane z wydajnością. Podsumowując, nasze wyniki badań dostarczają dowodów na znaczący i negatywny wpływ odpowiedzialności za środowisko, odpowiedzialności za zasoby ludzkie oraz wielkości i wielkości na zwrot z aktywów. Wpływ SR na Q Tobina jest znacząco pozytywny, ale wpływ odpowiedzialności za środowisko, odpowiedzialności za zasoby ludzkie i wielkości jest znacząco negatywny. Mówiąc dokładniej, w przypadku sektora przemysłowego odpowiedzialność za środowisko, odpowiedzialność za zasoby ludzkie i wielkość powodują spadek zwrotu z aktywów, w przypadku Q Tobina w sektorze finansowym obserwuje się negatywny wpływ odpowiedzialności społecznej i wielkości. Ponadto sektor finansowy i usługowy zmaga się z niższymi wynikami finansowymi pod względem zwrotu z aktywów, a Q Tobina wynika z wielkości wybranych firm.
Źródło:: Polish Journal of Management Studies; 2019, 20, 2; 35-44
2081-7452
Pojawia się w:: Polish Journal of Management Studies
Dostawca treści:: Biblioteka Nauki

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