Adnan Alashkar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Adnan Alashkar has a total of 38 co-authors. Here are the top co-authors by number of shared publications:
- Abdul Hai Alami
University of Sharjah
23 shared publications - Ayman Mdallal
Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
20 shared publications - Mohamad Ayoub
University of Sharjah
20 shared publications - Shamma Alasad
American University of Sharjah
18 shared publications - Haya Aljaghoub
Khalifa University
16 shared publications - Ranem Hasan
University of Sharjah
12 shared publications
Latest Publications
- Open Access
- 18 March 2026
- Published by Wiley in Advanced Energy and Sustainability Research
- Vol. 7 (3)
Comprehensive Review on Concentrated Solar Photovoltaics: Manufacturing, Cooling Technologies, and Advanced Applications
Concentrated photovoltaic (CPV) systems offer a promising approach to enhancing solar energy conversion efficiency by utilizing optical concentrators and advanced solar cell technologies. This paper provides a comprehensive overview of the history, evolution, and fundamental characteristics of CPV systems. The paper also explores the strengths and limitations of CPV technologies, with particular attention to the materials used in the optical and solar cell components, as well as the manufacturing challenges that affect scalability and performance. A detailed analysis of cooling techniques, such as radiative, phase change material, liquid immersion, microchannel, and jet impingement, is presented to address thermal management in high‐concentration environments. Accordingly, the differences among these cooling techniques in terms of energy consumption, reliability, and adaptability have been investigated. Furthermore, the paper examines the integration of CPV systems into advanced applications, including solar‐powered desalination, thermoelectric generators, light‐splitting configurations, and building‐integrated structures. Moreover, digital integration in CPVs has recently been considered a promising approach to maximizing the electrical output of these systems, mainly through the enhancement of solar tracking systems and input/output predictions. Through this multidimensional review, the study highlights the potential of CPV technologies to contribute significantly to sustainable energy solutions, while also addressing the technical and practical challenges that remain.
- 18 March 2026
- Published by Wiley in Advanced Energy and Sustainability Research
- Vol. 7 (3)
Open AccessComprehensive Review on Concentrated Solar Photovoltaics: Manufacturing, Cooling Technologies, and Advanced Applications
Concentrated photovoltaic (CPV) systems offer a promising approach to enhancing solar energy conversion efficiency by utilizing optical concentrators and advanced solar cell technologies. This paper provides a comprehensive overview of the history, evolution, and fundamental characteristics of CPV systems. The paper also explores the strengths and limitations of CPV technologies, with particular attention to the materials used in the optical and solar cell components, as well as the manufacturing challenges that affect scalability and performance. A detailed analysis of cooling techniques, such as radiative, phase change material, liquid immersion, microchannel, and jet impingement, is presented to address thermal management in high‐concentration environments. Accordingly, the differences among these cooling techniques in terms of energy consumption, reliability, and adaptability have been investigated. Furthermore, the paper examines the integration of CPV systems into advanced applications, including solar‐powered desalination, thermoelectric generators, light‐splitting configurations, and building‐integrated structures. Moreover, digital integration in CPVs has recently been considered a promising approach to maximizing the electrical output of these systems, mainly through the enhancement of solar tracking systems and input/output predictions. Through this multidimensional review, the study highlights the potential of CPV technologies to contribute significantly to sustainable energy solutions, while also addressing the technical and practical challenges that remain.
- Open Access
- 30 October 2025
- Published by Scilight Press Pty Ltd in Renewable and Sustainable Energy Technology
- Vol. 2 (1) , 3
An Overview of Digitalization Pathways for Green Hydrogen Production: AI, Machine Learning, IoT, Digital Twin, and Blockchain
The expansion of green hydrogen utilization is increasing globally due to the current focus on sustainable energy transformation. However, this shift is accompanied by significant issues related to fluctuations, control strategies, and supply chains. In that regard, digital technology plays a major role in promoting the development of green hydrogen. This paper reviews current advances in the digitalization of green hydrogen production, mainly based on electrolysis of water. This review features topics such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), digital twin (DT), and blockchain applications. These technologies are suitable for applications across micro-, meso-, and macro-scales and have been utilized to improve process optimization, real-time monitoring, predictive analytics, and system scalability. It has been shown that production efficiency and resource utilization can be significantly enhanced through data-driven control and automation. Moreover, blockchain frameworks have been adopted to secure transactions and increase transparency across hydrogen supply chains. Although certain challenges such as infrastructure limitations and data interoperability remain unresolved, the role of digitalization in enabling low-emission, intelligent hydrogen production has been firmly established. As energy systems evolve toward decarbonization, the convergence of renewable energy and digital control is expected to shape the next phase of the global hydrogen economy.
- 30 October 2025
- Published by Scilight Press Pty Ltd in Renewable and Sustainable Energy Technology
- Vol. 2 (1) , 3
Open AccessAn Overview of Digitalization Pathways for Green Hydrogen Production: AI, Machine Learning, IoT, Digital Twin, and Blockchain
The expansion of green hydrogen utilization is increasing globally due to the current focus on sustainable energy transformation. However, this shift is accompanied by significant issues related to fluctuations, control strategies, and supply chains. In that regard, digital technology plays a major role in promoting the development of green hydrogen. This paper reviews current advances in the digitalization of green hydrogen production, mainly based on electrolysis of water. This review features topics such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), digital twin (DT), and blockchain applications. These technologies are suitable for applications across micro-, meso-, and macro-scales and have been utilized to improve process optimization, real-time monitoring, predictive analytics, and system scalability. It has been shown that production efficiency and resource utilization can be significantly enhanced through data-driven control and automation. Moreover, blockchain frameworks have been adopted to secure transactions and increase transparency across hydrogen supply chains. Although certain challenges such as infrastructure limitations and data interoperability remain unresolved, the role of digitalization in enabling low-emission, intelligent hydrogen production has been firmly established. As energy systems evolve toward decarbonization, the convergence of renewable energy and digital control is expected to shape the next phase of the global hydrogen economy.
- Open Access
- 30 October 2025
- Published by Scilight Press Pty Ltd in Renewable and Sustainable Energy Technology
An Overview of Digitalization Pathways for Green Hydrogen Production: AI, Machine Learning, IoT, Digital Twin, and Blockchain
The expansion of green hydrogen utilization is increasing globally due to the current focus on sustainable energy transformation. However, this shift is accompanied by significant issues related to fluctuations, control strategies, and supply chains. In that regard, digital technology plays a major role in promoting the development of green hydrogen. This paper reviews current advances in the digitalization of green hydrogen production, mainly based on electrolysis of water. This review features topics such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), digital twin (DT), and blockchain applications. These technologies are suitable for applications across micro-, meso-, and macro-scales and have been utilized to improve process optimization, real-time monitoring, predictive analytics, and system scalability. It has been shown that production efficiency and resource utilization can be significantly enhanced through data-driven control and automation. Moreover, blockchain frameworks have been adopted to secure transactions and increase transparency across hydrogen supply chains. Although certain challenges such as infrastructure limitations and data interoperability remain unresolved, the role of digitalization in enabling low-emission, intelligent hydrogen production has been firmly established. As energy systems evolve toward decarbonization, the convergence of renewable energy and digital control is expected to shape the next phase of the global hydrogen economy.
- 30 October 2025
- Published by Scilight Press Pty Ltd in Renewable and Sustainable Energy Technology
Open AccessAn Overview of Digitalization Pathways for Green Hydrogen Production: AI, Machine Learning, IoT, Digital Twin, and Blockchain
The expansion of green hydrogen utilization is increasing globally due to the current focus on sustainable energy transformation. However, this shift is accompanied by significant issues related to fluctuations, control strategies, and supply chains. In that regard, digital technology plays a major role in promoting the development of green hydrogen. This paper reviews current advances in the digitalization of green hydrogen production, mainly based on electrolysis of water. This review features topics such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), digital twin (DT), and blockchain applications. These technologies are suitable for applications across micro-, meso-, and macro-scales and have been utilized to improve process optimization, real-time monitoring, predictive analytics, and system scalability. It has been shown that production efficiency and resource utilization can be significantly enhanced through data-driven control and automation. Moreover, blockchain frameworks have been adopted to secure transactions and increase transparency across hydrogen supply chains. Although certain challenges such as infrastructure limitations and data interoperability remain unresolved, the role of digitalization in enabling low-emission, intelligent hydrogen production has been firmly established. As energy systems evolve toward decarbonization, the convergence of renewable energy and digital control is expected to shape the next phase of the global hydrogen economy.
- Open Access
- 24 October 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (21) , 9478
Flexible Copper Mesh Electrodes with One-Step Ball-Milled TiO2 for High-Performance Dye-Sensitized Solar Cells
Advancements in flexible, low-cost, and recyclable alternatives to transparent conductive oxides (TCOs) are critical challenges in the sustainability of third-generation solar cells. This work introduces a copper mesh-based transparent electrode for dye-sensitized solar cells, replacing conventional fluorine doped-tin oxide (FTO)-coated glass to simultaneously reduce spectral reflection losses, enhance mechanical flexibility, and enable material recyclability. Titanium dioxide (TiO2) photoanodes were synthesized and directly deposited onto the mesh via a single-step, low-energy ball milling process, which eliminates TiO2 paste preparation and high-temperature annealing while reducing fabrication time from over three hours to 30 min. Structural and surface analyses confirmed the deposition of high-purity anatase-phase TiO2 with strong adhesion to the mesh branches, enabling improved dye loading and electron injection pathways. Optical studies revealed higher visible light absorption for the copper mesh compared to FTO in the visible range, further enhanced upon TiO2 and Ru-based dye deposition. Electrochemical measurements showed that TiO2/Cu mesh electrodes exhibited significantly higher photocurrent densities and faster photo response rates than bare Cu mesh, with dye-sensitized Cu mesh achieving the lowest charge transfer resistance in impedance analysis. Techno–economic and sustainability assessments revealed a decrease of 7.8% in cost and 82% in CO2 emissions associated with the fabrication of electrodes as compared to conventional TCO electrodes. The synergy between high conductivity, transparency, mechanical durability, and a scalable, recyclable fabrication route positions this architecture as a strong candidate for next-generation dye-sensitized solar modules that are both flexible and sustainable.
- 24 October 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (21) , 9478
Open AccessFlexible Copper Mesh Electrodes with One-Step Ball-Milled TiO2 for High-Performance Dye-Sensitized Solar Cells
Advancements in flexible, low-cost, and recyclable alternatives to transparent conductive oxides (TCOs) are critical challenges in the sustainability of third-generation solar cells. This work introduces a copper mesh-based transparent electrode for dye-sensitized solar cells, replacing conventional fluorine doped-tin oxide (FTO)-coated glass to simultaneously reduce spectral reflection losses, enhance mechanical flexibility, and enable material recyclability. Titanium dioxide (TiO2) photoanodes were synthesized and directly deposited onto the mesh via a single-step, low-energy ball milling process, which eliminates TiO2 paste preparation and high-temperature annealing while reducing fabrication time from over three hours to 30 min. Structural and surface analyses confirmed the deposition of high-purity anatase-phase TiO2 with strong adhesion to the mesh branches, enabling improved dye loading and electron injection pathways. Optical studies revealed higher visible light absorption for the copper mesh compared to FTO in the visible range, further enhanced upon TiO2 and Ru-based dye deposition. Electrochemical measurements showed that TiO2/Cu mesh electrodes exhibited significantly higher photocurrent densities and faster photo response rates than bare Cu mesh, with dye-sensitized Cu mesh achieving the lowest charge transfer resistance in impedance analysis. Techno–economic and sustainability assessments revealed a decrease of 7.8% in cost and 82% in CO2 emissions associated with the fabrication of electrodes as compared to conventional TCO electrodes. The synergy between high conductivity, transparency, mechanical durability, and a scalable, recyclable fabrication route positions this architecture as a strong candidate for next-generation dye-sensitized solar modules that are both flexible and sustainable.
- 10 December 2024
- Published by Springer Nature
- p. 1-6
Road to Best Design
- 10 December 2024
- Published by Springer Nature
- p. 73-90
Do-It-Yourself Project: Sand Casting and Lost PLA/Wax
- 10 December 2024
- Published by Springer Nature
- p. 73-90
Do-It-Yourself Project: Sand Casting and Lost PLA/Wax
- 10 December 2024
- Published by Springer Nature
- p. 63-72
Recent Advances in Additive Manufacturing Technologies
- 10 December 2024
- Published by Springer Nature
- p. 63-72
Recent Advances in Additive Manufacturing Technologies
- 10 December 2024
- Published by Springer Nature
- p. 35-47
Additive Manufacturing Technologies
- 10 December 2024
- Published by Springer Nature
- p. 7-13
Additive Manufacturing and Sustainability