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This lecture covers the methodology for computer-aided engineering in energy processes, focusing on analysis, activation, generation, and interpretation. It also delves into computational thinking, reproducible science, and exam preparation. The importance of energy drivers, economic evaluation, and environmental impact are discussed, along with energy conversion, distribution, and waste management. The lecture emphasizes the characterization of process flows, energy prices, and CO2 emissions of fuels, as well as energy demand characterization through mass and energy balances. Various tools and techniques for characterizing flows and solving balance equations are explored.
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