كتابة النص: الأستاذ الدكتور يوسف أبو العدوس - جامعة جرش قراءة النص: الدكتور أحمد أبو دلو - جامعة اليرموك مونتاج وإخراج : الدكتور محمد أبوشقير، حمزة الناطور، علي ميّاس تصوير : الأستاذ أحمد الصمادي الإشراف العام: الأستاذ الدكتور يوسف أبو العدوس
فيديو بمناسبة الإسراء والمعراج - إحتفال كلية الشريعة بجامعة جرش 2019 - 1440
فيديو بمناسبة ذكرى المولد النبوي الشريف- مونتاج وإخراج الدكتور محمد أبوشقير- كلية تكنولوجيا المعلومات
التميز في مجالات التعليم والبحث العلمي، وخدمة المجتمع، والارتقاء لمصاف الجامعات المرموقة محليا واقليميا وعالميا.
المساهمة في بناء مجتمع المعرفة وتطوره من خلال إيجاد بيئة جامعية، وشراكة مجتمعية محفزة للابداع، وحرية الفكر والتعبير، ومواكبة التطورات التقنية في مجال التعليم، ومن ثم رفد المجتمع بما يحتاجه من موارد بشرية مؤهلة وملائمة لاحتياجات سوق العمل.
تلتزم الجامعة بترسيخ القيم الجوهرية التالية: الإلتزام الإجتماعي والأخلاقي، الإنتماء،العدالة والمساواة، الإبداع، الجودة والتميّز، الشفافية والمحاسبة، الحرية المنظبطة والمستقبلية.
د. أحمد هندم ، أستاذ مساعد في مجال هندسة الطاقة المتجددة، حاصل على درجة الدكتوراه في هندسة الطاقة المتجددة من الجامعة الوطنية للبحوث (معهد الطاقة)كان رئيسا لقسم هندسة الطاقة المتجددة في جامعتي عمان العربية وجدارا، وأستاذا مساعدا غير متفرغ في جامعة آل البيت وجامعة الحسين التقنية، يعمل حاليا في جامعة جرش.
مهتم بالبحوث المتعلقة بالطاقة المتجددة وخاصة طاقة الرياح والطاقة الشمسية والطاقة الحيوية وتخزين طاقة الهيدروجين، لديه العديد من الأبحاث في مجالات الطاقة ومقالات في الصحف اليومية حول مستقبل الطاقة المتجددة.
Degree
Major
Duration
University
PhD
Renewable Energy Engineering
2008-2013
National Research university MPEI
Master
Electrical power Systems and Networks
2006-2008
Bachelor
2001-2006
Institution
Department/Faculty
Country
2024- Recent
JPU | Jerash university
“Full time”
Renewable and sustainable energy / Engineering
Jordan
2022-2024
HTU | Al Hussein Technical University “Part time”
Renewable energy / Engineering
2021-2022
AAU |Amman Arab University “Full time”
2019-2021
JU | Jadara University “Full time”
2019-2020
AABU| Al al-Bayt University “Part time”
The water–energy–food (WEF) nexus is an integrated conceptual tool for achieving sustainable development especially for countries facing limitations in one or more of its three pillars. The approach relies on bringing different stakeholders from the water, agriculture and energy sectors together to collaboratively plan and adopt a holistic approach to resources management. This enables them to address sector-specific issues and develop a comprehensive understanding of the connected sectors leading to better outcomes. However, WEF nexus implementation is currently in its infancy in many countries and stakeholders are in the process of learning how to effectively communicate and collaborate with each other. In this paper, we report the state of the WEF nexus in Jordan, a dry country grappling with water, energy and food production challenges in a changing climate.ministries, academics, private sector players and non-state actors were brought together to discuss the status of the WEF nexus and identify challenges that need to be overcome for full realization of the WEF nexus as an operational framework for integrated development at country level. Stakeholders identified 7 cardinal lessons in the process of WEF nexus implementation in Jordan. These are that (i) data/information sharing is vital (ii) WEF nexus requires funding, (iii) collaborations among actors is key, (iv) inclusivity in planning is necessary, (v) clear responsibilities and boundaries among stakeholders are needed, (vi) sustainability and cohesion are a must and (vii) building trust among and within organizations is a primary ingredient for success. A deeper understanding of the interrelated dynamics of these challenges is required to foster the WEF nexus in Jordan as the issues are grave but not insurmountable. It is therefore suggested that deliberate efforts are needed from a technical and policy angle to ensure full operationalization of the WEF nexus approach in Jordan and elsewhere
Jordan has significant renewable energy potential due to its remarkable geographical location and climate conditions. This potential elevates engaging several innovative renewable alternatives in energy development, which may efficiently minimize the excessive import of traditional energy sources. The objective of this research is to study the potential of utilizing clean and affordable solar energy along roadways such as Jordan’s Desert Highway-15 to be in line with the United Nations Sustainable Development Goals (UN-SDG’s) by installing selected solar panels that possess adequate friction and the ability to allow solar radiation to reach the solar cells, in addition to allowing the load to be bypassed around the cells. The shoulder of the highway, with a length of 315 km and a width of 3.0 meters, has been exploited in order to supply the neighboring areas with energy for those roads, particularly those paved roads, which are poorly lit at night. Furthermore, this study provides direction and guidance concerning the structural performance of non-traditional pavement materials, which are a form of subgrade or pavement reinforcement. The performance of a prototype board on a variety of structural bases has also been evaluated. Overall, this paper found that it is possible to design a solar road panel to withstand traffic loading and that the concrete structural base allows for a significant improvement of the analyzed prototype design, especially in countries with limited energy sources and dependent on imports such as Jordan.
In this paper, the Jordan's adoption of renewable energy, in general, and the solar energy, in particular, is overviewed. The solar energy development in Jordan, within the last decade, is highlighted from various aspects. Energy consumption and efficiency are major issues for nations such Jordan that have few natural resources and high energy costs, especially in the context of climate change. In Jordan, the industry with the highest energy use is residential construction. Residential building rooftop photovoltaic (PV) systems may address the issue of rising power needs and the need for more sustainable energy systems. This research contrasted present and projected residential household power usage with the potential electricity consumption from PV systems placed on the available roofs of residential structures. Taguchi and Box-Behnken Design (BBD) approaches were used to predict and optimize the yearly power usage using a design tool in Minitab version 18. The findings showed that the yearly energy usage was significantly influenced by solar cumulative installed PV power, sun shine hours, and operation service factors. The investigation revealed that the combined ideal elements and reactions meet the highest demands of the annual power usage of 8.0940 MWh per capita. The annual increase of PV plants, connected to the Jordan electric grid, refer to the availability of this area to adopt more and more PV projects. The available land, moderate climate, and reliable electric grid are encouraging factors to accepting large PV projects. The result showed that the yearly energy usage was significantly influenced by solar cumulative installed PV power, sun shine hours, and operation service factors. The investigation revealed that the combined ideal elements and reactions meet the highest demands of the annual power usage of 8.0940 (MWh per capita).
Abstract The use of energy storage devices is essential for the development and maintenance of zero-energy structures. They are necessary for optimal usage of renewable energy sources and for managing the intermittent nature of energy supply and demand. Many different types of storage systems (electrochemical, thermal, mechanical, etc.) are either commercially available or close to being developed for usage on a building scale. Different technologies have different capabilities and features, therefore it's important to find a system for evaluating your possibilities before diving into a techno-economic study. All aspects of current and emerging energy storage technologies, as well as their uses, future prospects, and historical contexts, are subjected to a rigorous evaluation. Energy storage techniques such as electrochemical and battery storage, thermal storage, thermochemical storage, flywheel storage, compressed air storage, pumped storage, magnetic storage, chemical and hydrogen storage, and redox flow storage are all covered. New studies on alternative energy storage methods, along with major advancements and discoveries in the field, are also discussed.
The key contribution of this paper is to determine the optimal operating parameters of the methane reforming process for hydrogen production. The proposed strategy contained two phases: ANFIS modelling and optimization. Four input controlling parameters were considered to increase the hydrogen: irradiation time (min), metal loading, methane concentration, and steam concentration. In the first phase, an ANFIS model was created with the help of the experimental data samples. The subtractive clustering (SC) technique was used to generate the fuzzy rules. In addition, the Gaussian-type and weighed average were used for the fuzzification and defuzzification methods, respectively. The reliability of the resulting model was assessed statistically by RMSE and the correlation (R2) measures. The small RMSE value and high R2 value of testing samples assured the correctness of the modelling phase, as they reached 0.0668 and 0.981, respectively. Based on the robust model, the optimization phase was applied. The slime mold algorithm (SMA), as a recent as well as simple optimizer, was applied to look for the best set of parameters that maximizes hydrogen production. The resulting values were compared by the findings of three competitive optimizers, namely particle swarm optimization (PSO), Harris hawks optimization (HHO), and evolutionary strategy HHO (EESHHO). By running the optimizers 30 times, the statistical results showed that the SMA obtained the maximum value with high mean, standard deviation, and median. Furthermore, the proposed strategy of combining the ANFIS modelling and the SMA optimizer produced an increase in the hydrogen production by 15.7% in comparison to both the experimental and traditional RSM techniques.
The aim of this study is a multivariate analysis of energy pools based on renewable energy sources in the energy supply system for the independent consumer. The research provides the mathematical formula for optimizing the main parameters and processes of the energy complex (EC) on the basis of renewable energy sources (RES) to supply energy to many independent rural consumers in the Hashemite Kingdom of Jordan. Methodology and computation models can take into account additional conditions and constraints, data, which give flexibility and versatility to the computation models. The use of methods and guidelines at the design stage will increase the competitiveness and cost-effectiveness of the Jordanian government based on reliance on alternative energy sources, and improve the overall cost to independent consumers of low energy in rural areas. The article is devoted to the solution of the problem of developing technical solutions for multivariate analysis efficiency of energy complexes based on renewable energy sources in the system power supply of autonomous consumers. However, current global trends are such that the cost of electrolyzes and fuel elements decrease, and their reliability increases. To study the economic efficiency of the application of the hydrogen accumulation system, two models were included in the calculation program. In the first of the model, the increase in diesel fuel prices corresponded to inflation, in the second, the increase in diesel prices fuel outstripped inflation by 5-10% per year. Paying attention to the first option showed that to use the system accumulation of hydrogen is not economically feasible
A series of tests were carried out to assess the environmental effects of biodiesel blends made of different vegetable oil, such as corn, sunflower, and palm, on exhaust and noise diesel engine emissions. Biodiesel blends with 20% vegetable oil biodiesel and 80% diesel fuel by volume were developed. The tests were conducted in a stationary diesel engine test bed consisting of a single-cylinder, four-stroke, and direct injection engine at variable engine speed. A prediction framework in terms of polynomial regression (PR) was first adopted to determine the correlation between the independent variables (engine speed, fuel type) and the dependent variables (exhaust emissions, noise level, and brake thermal efficiency). After that, a regression model was optimized by the grey wolf optimization (GWO) algorithm to update the current positions of the population in the discrete searching space, resulting in the optimal engine speed and fuel type for lower exhaust and noise emissions and maximizing engine performance. The following conclusions were drawn from the experimental and optimization results: in general, the emissions of unburned hydrocarbon (UHC), carbon dioxide (CO2), and carbon monoxide (CO) from all the different types of biodiesel blends were lower than those of diesel fuel. In contrast, the concentration of nitrogen oxides (NOx) emitted by all the types of biodiesel blends increased. The noise level produced by all the forms of biodiesel, especially palm biodiesel fuel, was lowered when compared to pure diesel. All the tested fuels had a high noise level in the middle frequency band, at 75% engine load, and high engine speeds. On average, the proposed PR-GWO model exhibited remarkable predictive reliability, with a high square of correlation coefficient (R2) of 0.9823 and a low root mean square error (RMSE) of 0.0177. Finally, the proposed model achieved superior outcomes, which may be utilized to predict and maximize engine performance and minimize exhaust and noise emissions.
Renewable energy systems, such as photovoltaic (PV) systems, have become increasingly significant in response to the pressing concerns of climate change and the imperative to mitigate carbon emissions. When static converters are used in solar power systems, they change the current, which uses reactive energy. A proportional-integral controller regulates active and reactive powers, whereas energy storage batteries enhance energy quality by storing current and voltage as they directly affect steady-state error. The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions. This study presents a novel approach for integrating solar PV systems with high input performance through adaptive neuro-fuzzy inference systems (ANFIS). A fuzzy neural inference-based controller regarding energy generation and consumption aspects was designed and examined. This study examines the importance of artificial intelligence in facilitating continuous power supply to clients using a battery system, hence emphasizing its significance in energy management. Moreover, the findings demonstrated promising outcomes in energy regulation and management.
All Rights Reseved © 2025 - Developed by: Prof. Mohammed M. Abu Shquier Editor: Ali Zreqat
