Low-Temperature Energy Systems: Design, Integration, and Optimization is a comprehensive guide that offers a deep dive into the latest developments in low-temperature (cryogenic) energy systems, highlighting their vital role in advancing energy transition, decarbonization, and sustainable development efforts. Covering fundamental principles, advanced modeling techniques, and real-world case studies, the book bridges theoretical concepts with industrial applications, providing actionable guidance on improving energy efficiency, reducing costs, and minimizing environmental impacts. Designed as both a technical reference and an educational resource, this book emphasizes innovative solutions for enhancing system performance, integrating renewable energy sources, and ensuring safety and regulatory compliance.
It explores a broad range of topics, including thermodynamics, process optimization, techno-economic analysis, and safety standards, supporting the development of resilient and sustainable low-temperature energy infrastructures. With a focus on practical strategies and cross-disciplinary approaches, the book aims to empower professionals and researchers to contribute effectively to the global effort towards cleaner, more flexible, and efficient energy systems. Engineers, researchers, policymakers, and industry professionals seeking practical insights into the design, optimization, and integration of cryogenic technologies such as LNG, hydrogen liquefaction, liquid air energy storage, and cold energy recovery will find this resource very helpful.
- Includes comprehensive and structured knowledge on cryogenic systems, including fundamental principles, cycle analysis, and industry-specific applications
- Compares traditional and modern technologies
- Focuses on enhancing performance and sustainability by offering practical strategies for efficiency and environmental impact reduction in cryogenic systems
- Empowers readers to evaluate cryogenic technologies in real-world contexts by providing information about advanced evaluation and safety tools, such as techno-economic modeling, environmental assessments, risk analysis, and optimization techniques such as machine learning, metaheuristic algorithms, pinch technology, and dynamic simulation using commercial platforms
