Recent progress in Green Ammonia: Production, applications, assessment; barriers, and its role in achieving the sustainable development goals
Fossil fuels are no longer accepted as the sole energy source with their environmental
impacts and fluctuating price. Green hydrogen is considered a potential candidate for fossil …
impacts and fluctuating price. Green hydrogen is considered a potential candidate for fossil …
Role of microalgae in achieving sustainable development goals and circular economy
Abstract In 2015, the United Nations General Assembly (UNGA) set out 17 Sustainable
Development Goals (SDGs) to be achieved by 2030. These goals highlight key objectives …
Development Goals (SDGs) to be achieved by 2030. These goals highlight key objectives …
Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
Wind energy contribution to the sustainable development goals: Case study on London array
Clean and safe energy sources are essential for the long-term growth of society. Wind
energy is rapidly expanding and contributes to many countries' efforts to decrease …
energy is rapidly expanding and contributes to many countries' efforts to decrease …
Energy digitalization: Main categories, applications, merits, and barriers
Increased consumption of fossil fuels has contributed to a rise in abnormal weather
conditions. Utilizing renewable energy sources is one of the most effective methods for …
conditions. Utilizing renewable energy sources is one of the most effective methods for …
[HTML][HTML] Hydrogen production from low-temperature geothermal energy–A review of opportunities, challenges, and mitigating solutions
This study aims to provide a comprehensive review of the potential of geothermal energy for
producing hydrogen, with a focus on the Australian context where low-temperature …
producing hydrogen, with a focus on the Australian context where low-temperature …
Application of artificial intelligence techniques for modeling, optimizing, and controlling desalination systems powered by renewable energy resources
Utilizing various renewable energy resources (RERs) for powering desalination plants is an
encouraging choice, specifically in arid and remote areas where conventional resources are …
encouraging choice, specifically in arid and remote areas where conventional resources are …
Recent advances in artificial neural network research for modeling hydrogen production processes
Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach
Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …
prevention rather than cleanup of waste generation by applying the fundamental recovery …
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …