Substantial gains of renewable energy adoption and implementation in Maan, Jordan: A critical review

Al Naimat, Ammar; Liang, Daolun

doi:10.1016/j.rineng.2023.101367

Cited by 13 publications

(4 citation statements)

References 65 publications

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“…The country is poor in its traditional energy resources. Due to growing energy demands and plans to reduce greenhouse gas emissions and minimize dependence on fossil fuels (Kartikasari et al, 2023), Jordan is expanding its renewable energy production sector in general and solar energy in particular (Al Naimat and Liang, 2023;Albaali et al, 2022;Kartikasari et al, 2023). Ma'an province is rich in its solar and wind energy resources.…”

Section: Methodsmentioning

confidence: 99%

Evaluating the performance of the Anwaralardh photovoltaic power generation plant in Jordan: Comparative analysis using artificial neural networks and multiple linear regression modeling

Alma'asfa,

Fraige,

Abdul Aziz

et al. 2024

Int. J. Renew. Energy Dev.

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The global energy demand is rising, driven by population growth, economic development, and industrialization. Shifting towards renewable energy, like solar energy, is gaining momentum worldwide because of ecological concerns and resource depletion. This paper aims to utilize Artificial Neural Networks (ANNs) and multiple linear regression (MLR) modeling techniques to evaluate the productivity of 11 MW photovoltaic (PV) solar power plant currently operational in Jordan. The case study reveals that both models can be used to predict the daily, monthly, and yearly average power produced and system efficiency with reasonable accuracy. The ANN model exhibited promising results, where the best value for the coefficient of determination (R2) and mean absolute percentage error (MAPE) for training were 95.85% and 0.59%, respectively. However, R2 was 93.7%, and MAPE was 1.27% for validation tests. All these results were achieved using a 7-6-1 model, with a sample ratio of 1:1 for the data allocated in training and validation. When using multiple linear regression, the R2 and standard error values were 93.42% and 0.17%. On the other hand, the results showed that the yearly output power for actual and predicted by both models over the year was 24,399 MWh, 24,538 MWh, and 24,401 MWh, respectively. This research showed valuable results in the monthly output power for solar cells at the Anwaralardh PV power system project, contributing to a better understanding of solar energy generation in arid desert climates and emphasizing the potential of solar power plants to play a crucial role in achieving SDG 7 objectives.

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Section: Methodsmentioning

confidence: 99%

Evaluating the performance of the Anwaralardh photovoltaic power generation plant in Jordan: Comparative analysis using artificial neural networks and multiple linear regression modeling

Alma'asfa,

Fraige,

Abdul Aziz

et al. 2024

Int. J. Renew. Energy Dev.

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“…The increasing frequency of human activities, subsequent industrial progress, globalization, and increased consumption have inexorably contributed to an unsettling rise in dangerous environmental pollutants that have the potential to impact the health of human beings [3,9,10]. The rapid depletion of fossil fuels and the growing concern over climate change have propelled the world towards a critical juncture in energy Energies 2024, 17, 1336 2 of 30 transition [11][12][13][14][15][16]. Both economic and social progress need massive energy consumption, much of which comes from non-renewable fossil fuels [9,17].…”

Section: Introduction 1main Backgroundmentioning

confidence: 99%

Multiple Heat Recovery System for an Industrial Thermal Peeling Press Machine—Experimental Study with Energy and Economic Analyses

Farhat,

Khaled,

Faraj

et al. 2024

Energies

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The enhancement of energy systems in industrial zones is attracting the attention of researchers from all over the world. At the same time, optimization and advancement in heat recovery systems are now generating major interest in the energy sector. In this context, the present study suggests a new multiple heat recovery system should be applied to an industrial thermal peeling press machine. The new system consists of multiple sources of energy: the heat excess in the chimney, the exhaust gas of the chimney, and the exhaust gas of the boiler. To proceed with testing the potential of the suggested system, a hydraulic thermal peel press machine in the wood industry undergoes different tests to achieve the best configuration that will enable this machine to reach its operational temperature when heating. Five test configurations are proposed, designed, and applied experimentally on this machine. Many parameters were effective during the experimental tests, such as water flow rate, ambient air temperature, and initial water temperature. It was found that the application of the multiple heat recovery system increases the rate of heating from around 7 °C/min to around 13 °C/min. In terms of energy and economy, the “chimney + boiler only” configuration proved to be the best system to apply during the fall and winter seasons.

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“…The upfront costs associated with the installation of solar and wind generator systems can be prohibitively expensive, posing a significant barrier for many households. Despite the long-term potential for substantial energy savings, the initial investment required often deters widespread adoption, thereby limiting the immediate benefits that these technologies can offer to the average consumer [7].…”

Section: Introduction 1renewables In Jordanmentioning

confidence: 99%

“…As we delve into the specific case of Jordan, it becomes evident that unlocking the potentials for green energy is not merely a theoretical exercise but a practical necessity [7]. This paper seeks to explore the unique dynamics and challenges associated with community solar and wind farms in Jordan, shedding light on the opportunities and barriers that shape the trajectory of sustainable energy adoption in the country.…”

Section: Introduction 1renewables In Jordanmentioning

confidence: 99%

Prospects and Obstacles Associated with Community Solar and Wind Farms in Jordan’s Suburban Areas

Hunaiti,

Huneiti

2024

Solar

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Jordan faces significant, immediate challenges of enhancing energy security while mitigating greenhouse gas emissions. One of the most promising approaches to achieve sustainable development, energy security, and environmental conservation is to increase the integration of renewable energy into electricity generation. To this end, the Jordanian government aims to expand investments in the green energy sector, with solar and wind energy expected to play a crucial role in meeting energy demands and promoting environmental sustainability. This paper aims to examine the distinct dynamics, challenges, obstacles, and potential solutions related to establishing community solar and wind farms in suburban areas of Jordan. It seeks to highlight the opportunities and barriers influencing the adoption of sustainable energy in the country. Evaluation results from engaging 320 key stakeholders were obtained through a questionnaire, and after comprehensive analysis, it became evident that the benefits and positive aspects of solar and wind farms outweigh their drawbacks and obstacles. These insights can be useful in guiding policies and practices to make renewable energy community projects a reality within Jordan’s suburban areas. Additionally, the findings may serve as a valuable benchmark for other regions facing similar challenges in their pursuit of a sustainable energy future.

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Substantial gains of renewable energy adoption and implementation in Maan, Jordan: A critical review

Cited by 13 publications

References 65 publications

Evaluating the performance of the Anwaralardh photovoltaic power generation plant in Jordan: Comparative analysis using artificial neural networks and multiple linear regression modeling

Evaluating the performance of the Anwaralardh photovoltaic power generation plant in Jordan: Comparative analysis using artificial neural networks and multiple linear regression modeling

Multiple Heat Recovery System for an Industrial Thermal Peeling Press Machine—Experimental Study with Energy and Economic Analyses

Prospects and Obstacles Associated with Community Solar and Wind Farms in Jordan’s Suburban Areas

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