Heat Recovery Analysis

Related lectures (32)

Page 3 of 4

Explores the integration of heat pumps in heat exchanger networks using the pinch point method to optimize heat recovery.

Explores coordination in networked control systems, graph theory, and consensus algorithms.

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Explores the fundamentals of heat exchangers, including conduction, convection, and temperature profiles, with practical examples.

Explores Belief Propagation for graph coloring and its convergence properties.

Covers exercises on heat and mass transfer, including multimodal heat transfer and transient conduction.

Explores Laplacian flow, heat equation analogies, and microgrid networked controllers.

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.