About this Research Topic
The refrigeration sector is in a unique position to adopt innovative methods and technologies that put an emphasis on efficiency, sustainability, and intelligent operation. Today, refrigeration systems are changing, and sustainability, energy efficiency, and artificial intelligence (AI) are coming together to provide better overall performance.
Concerns about environmental damage and climate change have sparked a paradigm shift in favor of sustainable refrigeration solutions in recent years. Novel refrigerants with low global warming potential (GWP) and ozone depletion potential (ODP) have been developed as a result of the drive to minimize carbon footprints and cut energy consumption. Moreover, to reduce waste and increase resource efficiency throughout the refrigeration supply chain, a greater focus is being placed on comprehensive lifecycle assessments and circular economy models.
Concurrently, artificial intelligence (AI) breakthroughs are transforming refrigeration system optimization and operation. Predictive maintenance algorithms powered by artificial intelligence facilitate proactive fault detection and system optimization, resulting in increased equipment lifespan, decreased downtime, and improved reliability. Utilizing real-time data analytics, smart control strategies dynamically modify operating parameters to optimize energy efficiency while guaranteeing accurate temperature control and product quality.
Refrigeration systems' smooth integration with smart grid infrastructure and renewable energy sources is key to their future. Hybrid refrigeration architectures, which combine multiple cooling technologies, provide unmatched flexibility and efficiency gains. Additionally, system performance can be further enhanced by energy harvesting techniques, which capture mechanical energy and waste heat. Furthermore, user experience and behavior-driven energy conservation are given priority by human-centric design principles, which promote a culture of engagement and awareness of sustainability.
This Research Topic aims to offer a comprehensive approach that combines efficiency, sustainability, and AI-driven intelligence, which are crucial for the future of refrigeration systems.
Topics of interest for publication include, but are not limited to:
• Energy efficient heat transfer enhancement,
• Cold energy storage solution,
• Sustainable refrigeration system design and optimization,
• Hydride refrigeration systems,
• Integration of renewable energy source in refrigeration systems,
• Advanced refrigeration and green cooling technologies,
• Integration of artificial intelligence in refrigeration system design,
• Life cycle assessment and environmental impact analysis of refrigeration systems,
• Heat recovery and waste heat utilization.
Concerns about environmental damage and climate change have sparked a paradigm shift in favor of sustainable refrigeration solutions in recent years. Novel refrigerants with low global warming potential (GWP) and ozone depletion potential (ODP) have been developed as a result of the drive to minimize carbon footprints and cut energy consumption. Moreover, to reduce waste and increase resource efficiency throughout the refrigeration supply chain, a greater focus is being placed on comprehensive lifecycle assessments and circular economy models.
Concurrently, artificial intelligence (AI) breakthroughs are transforming refrigeration system optimization and operation. Predictive maintenance algorithms powered by artificial intelligence facilitate proactive fault detection and system optimization, resulting in increased equipment lifespan, decreased downtime, and improved reliability. Utilizing real-time data analytics, smart control strategies dynamically modify operating parameters to optimize energy efficiency while guaranteeing accurate temperature control and product quality.
Refrigeration systems' smooth integration with smart grid infrastructure and renewable energy sources is key to their future. Hybrid refrigeration architectures, which combine multiple cooling technologies, provide unmatched flexibility and efficiency gains. Additionally, system performance can be further enhanced by energy harvesting techniques, which capture mechanical energy and waste heat. Furthermore, user experience and behavior-driven energy conservation are given priority by human-centric design principles, which promote a culture of engagement and awareness of sustainability.
This Research Topic aims to offer a comprehensive approach that combines efficiency, sustainability, and AI-driven intelligence, which are crucial for the future of refrigeration systems.
Topics of interest for publication include, but are not limited to:
• Energy efficient heat transfer enhancement,
• Cold energy storage solution,
• Sustainable refrigeration system design and optimization,
• Hydride refrigeration systems,
• Integration of renewable energy source in refrigeration systems,
• Advanced refrigeration and green cooling technologies,
• Integration of artificial intelligence in refrigeration system design,
• Life cycle assessment and environmental impact analysis of refrigeration systems,
• Heat recovery and waste heat utilization.
Keywords: Refrigeration systems, Sustainable energy, Efficient regrigeration, AI, Life Cycle Assessment
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