Underwater Thermal Energy Harvesting: Frameworks, Challenges, Applications, and Future Investigation

• Published in: IEEE access 2024, Vol.12, p.174371-174386
• Main Authors: Khan, Anwar, Villar, Santos Gracia, Lopez, Luis Alonso Dzul, Almaleh, Abdulaziz, Alqahtani, Abdullah M., Alnaimi, Raja'A
• Format: Article
• Language: English
• Subjects: Algorithms; Classification algorithms; Energy harvesting; Engines; Heating systems; Liquids; Mathematical models; Multi-source; Ocean temperature; phase change material; Phase change materials; Piezoelectricity; Solids; temperature gradient; Temperature measurement; Thermal energy; thermoelectric generator; Thermoelectric generators; Thermoelectric materials; Underwater; Underwater technology; underwater thermal energy harvesting
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2024.3496840

This paper studies the latest and state-of-the-art underwater thermal energy harvesting algorithms and techniques designed in the latest decade (2014-2024). The techniques are classified based on their unique operations for energy harvesting. This classification includes thermal energy harvesting using a phase change material (PCM), thermoelectric generator (TEG) and multi-source harvesting. Every class of techniques is described by its operation using a schematic diagram and a mathematical model to fully understand its working principle. Moreover, every individual technique is also described in terms of its operation, amount of harvested energy/power and the aspect(s) where margin of further improvement exists. Also, a comparative analysis of the classified algorithms is performed with each other as well as with other underwater energy harvesting techniques (solar, piezoelectric, wave) to highlight their effectiveness and feasibility in a diverse set of underwater and various other applications. The classified techniques are also compared in terms of harvested output to indicate their harvesting efficiency. Furthermore, the publications made in the latest decade in terms of thermal energy harvesting using PCM, TEG and multi-source methods are also graphically depicted. Such a description of the studied techniques and classified methods is unique from the already existing underwater energy harvesting reviews in literature where an in-depth and thorough analysis is absent, rather only marginal description is given. The harvesting results indicate that hybrid (multi-source) and PCM methods have the greatest amount of harvested power and energy, respectively. Finally, the research challenges in underwater thermal energy harvesting are specified and areas of further research are highlighted for future investigation.