ORCID Profile
0000-0001-9517-0835
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Publisher: Oxford University Press (OUP)
Date: 18-11-2019
DOI: 10.1093/IJLCT/CTZ062
Abstract: To tackle climate change and secure energy supplies, many countries invest heavily on wind energy as it is a clean source and is becoming more cost effective with the technological advancement and increased capacity per unit installed. The investigation of the availability of wind resources is an essential step of any feasibility study of a wind farm project and is vital for securing financial resources. With this intent, the main aspects for designing a wind farm at Ajloun (north of Jordan) is investigated and wind energy potential is determined based on available wind data. Based on the site characteristic, the required infrastructure is highlighted, including the turbine array layout and the pattern of connections with the external transmission lines. The investigation of the feasibility of the project includes an appraisal of social and environmental consequences of constructing the wind farm project. The results show that the selected location for the wind farm is encouraging and has a promising profit potential. The findings estimate the annual electricity generation of the wind farm at 379659.51 MWh, with a breakeven selling point of around $30.03/MWh, at a highly competitive price. However, with an estimated selling price of $36.65/MWh on average, it will settle the interest rate demanded by the banks that have an internal rate of return of 7%. No major issues with geotechnical and environmental issues were identified with respect to the project.
Publisher: MDPI AG
Date: 08-09-2020
Abstract: COVID-19 has posed an unprecedented global public health threat and caused a significant number of severe cases that necessitated long hospitalization and overwhelmed health services in the most affected countries. In response, governments initiated a series of non-pharmaceutical interventions (NPIs) that led to severe economic and social impacts. The effect of these intervention measures on the spread of the COVID-19 pandemic are not well investigated within developing country settings. This study simulated the trajectories of the COVID-19 pandemic curve in Jordan between February and May and assessed the effect of Jordan’s strict NPI measures on the spread of COVID-19. A modified susceptible, exposed, infected, and recovered (SEIR) epidemic model was utilized. The compartments in the proposed model categorized the Jordanian population into six deterministic compartments: suspected, exposed, infectious pre-symptomatic, infectious with mild symptoms, infectious with moderate to severe symptoms, and recovered. The GLEAMviz client simulator was used to run the simulation model. Epidemic curves were plotted for estimated COVID-19 cases in the simulation model, and compared against the reported cases. The simulation model estimated the highest number of total daily new COVID-19 cases, in the pre-symptomatic compartmental state, to be 65 cases, with an epidemic curve growing to its peak in 49 days and terminating in a duration of 83 days, and a total simulated cumulative case count of 1048 cases. The curve representing the number of actual reported cases in Jordan showed a good pattern compatibility to that in the mild and moderate to severe compartmental states. The reproduction number under the NPIs was reduced from 5.6 to less than one. NPIs in Jordan seem to be effective in controlling the COVID-19 epidemic and reducing the reproduction rate. Early strict intervention measures showed evidence of containing and suppressing the disease.
No related grants have been discovered for Motasem Saidan.