This review systematically synthesizes recent advancements across core SPT components, including TES materials, receiver designs, heliostat field and tracking, and modeling tools, while uniquely integrating artificial intelligence (AI), Internet of Things, and cyber-physical systems. This review systematically synthesizes recent advancements across core SPT components, including TES materials, receiver designs, heliostat field and tracking, and modeling tools, while uniquely integrating artificial intelligence (AI), Internet of Things, and cyber-physical systems. A new study from researchers at CIEMAT's Plataforma Solar de Almería (PSA) in Spain has unveiled a novel application of artificial intelligence to improve the efficiency and safety of solar tower plant operation using reinforcement learning, a form of artificial intelligence that learns from. Solar power towers (SPTs) represent a pivotal technology within the concentrated solar power (CSP) domain, offering dispatchable and high-efficiency energy through integrated thermal energy storage (TES) and scalable tower-based receiver systems. This review systematically synthesizes recent. DOE funds solar research and development (R&D) in power tower (central receiver) systems as one of four concentrating solar power (CSP) technologies aiming to meet the goals of the SunShot Initiative. In 2007, companies such as ESolar (then backed by Google. org) were. This work is licensed under the Creative Commons Attribution International License (CC BY). However, you may be thinking, can they work.