https://dsr.mutah.edu.jo/index.php/jje/issue/feedJordan Journal of Energy2024-11-05T09:29:32+03:00Jordan journal of Energy (JJE)jje@mutah.edu.joOpen Journal Systems<p><strong><img src="https://dsr.mutah.edu.jo/public/site/images/razan/17.png" alt="" /></strong></p> <p><strong>Jordan Journal of Energy (JJE)</strong></p> <p><strong>Print ISSN : 2790-766X | Online ISSN: 2790-7678</strong></p> <p> <strong> </strong><strong>Jordanian Journal of Energy is an open-access journal committed to publishing original high-quality scholarly research papers that provide solid insights into all aspects of Energy .</strong></p> <p><strong>The Journal publishes academic materials such as original academic articles matching the Journal’s areas of interest and following the standards and methodology of academic research, edited and translated texts, and book reviews.</strong></p> <p><strong> </strong></p>https://dsr.mutah.edu.jo/index.php/jje/article/view/900A Triple Band Flexible Antenna based on Asymmetric Spiral Split Rings Coupled to External Loop2024-02-02T19:03:45+03:00anwar tarawnehanwartarawneh1988@gmail.com<p><em>In this paper a small flexible antenna is designed and proposed for implantable applications in the 401-406 MHz Medical Device Radio Communication Service (MedRadio), 433-434.8 MHz, and 2.4-2.5 GHz Industrial Scientific Medical (ISM) bands. The proposed antenna has a unique structure exploiting spiral split rings to achieve both miniaturization and excellent impedance matching (S11< -10 dB) within the 401-406 and 433-434.8 MHz bands. For resonance in the 2.4-2.5 GHz ISM band, the spiral split rings are coupled with an external feeding loop ring. This comprehensive band coverage enables the antenna to facilitate data transfer, wireless power charging, and saving. The proposed antenna has obtained a gain value of -22.44, -22.07, and -25.66 dBi at 403 MHz, 433 MHz, and 2.45 GHz respectively in a simplified body model of 400×50×50 mm<sup>3</sup>. Additionally, this antenna design has demonstrated robust performance in different simplified body models. Furthermore, the antenna’s simple structure makes it a strong candidate for applications in the field of biomedical implants.</em></p>2024-11-05T00:00:00+03:00Copyright (c) 2024 Jordan Journal of Energyhttps://dsr.mutah.edu.jo/index.php/jje/article/view/950Energy Storage Solutions to De-Carbonize the Electric Supply in Jordan 2024-03-30T19:52:05+03:00Abdulraheem AljaradatAbedalraheem.j@arabpotash.com<p><em>This paper aims to estimate the size of Energy Storage Systems (ESS) required de-carbonizing the electrical network in Jordan. Load profile in addition to the PV and Wind energy profiles were studied and used as input data to the simulation model. Different cases of RE penetration levels as a percentage of load demand were considered and entered to the simulation model as well. Other factors, such as allowed over-generation and ESS efficiency also provided and calculations carried out accordingly. In addition to the technical consideration, an economic analysis approach added to the study. Results show that staying with the current level of RE penetrations, i.e. at PV 11% and W 9% (RE level 20% of load demand) and 5% curtailment, no need to install ESS to absorb the RE intermittency and variability. As RE penetration level increases, the need for ESS becomes necessary, i.e. to reach 100% RE penetration and de-carbonize the electrical network accordingly, an ESS of 138,900.00MWH/ 7,386.57MW PHES would be required at PV 65% and Wind 35% penetration level and 25% curtailment with initial CAPEX investment of JOD 15,367,314,444.10. Economic feasibility study shows that with the current RE energy prices and ESS CAPEX, reaching the 100% RE penetration level would not be the optimum solution as there will be a negative cost impact, unless these prices reduced to a certain level making the solution feasible.</em></p>2024-11-05T00:00:00+03:00Copyright (c) 2024 Jordan Journal of Energyhttps://dsr.mutah.edu.jo/index.php/jje/article/view/1187Short-term Load Forecasting using Genetic Algorithm based Artificial Neural Network2024-08-31T22:01:56+03:00Mohanad Shakirziadmaj@yahoo.com<p><em>The electrical load Forecasting is considered one of the main and important points for the planning for the future in the electric power networks in both of transmission and distribution systems. In this paper, the genetic optimization algorithm (GA) with the artificial intelligent network (ANN) methods are proposed to forecast the electrical load of the building of Electrical Power Distribution office in the Iraq /Anbar Governorate. Moreover, the optimization method of GA is presented to train the ANN weights using Matlab software with simple programming code. Then, the proposed method is applied to the actual load and the results are compared with that obtained in traditional method such as ANN and regression trees (RG trees) methods. Hence, from the simulation results and the comparison, we can confirm that the proposed method is better than the traditional methods, and it achieved a good agreement with actual load and it provide a good total RMSE of 6% when compared with other methods</em></p>2024-11-05T00:00:00+03:00Copyright (c) 2024 Jordan Journal of Energy