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This lecture delves into tools for assessing energy combustion unit integration, exploring heat recovery, pinch points, and heat exchange network design. The instructor discusses various options like heat pumping, co-generation, and steam networks to optimize energy flows and balance energy needs with costs. The lecture also covers the use of exergy to evaluate system integration and minimize exergy losses, showcasing how mathematical programming can aid in reducing energy costs and enhancing energy conversion efficiency. The optimization process involves comparing different subsystems and energy sources to find the most efficient solutions. The lecture concludes by highlighting the importance of project discussions and evaluations for students' understanding and learning.
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