Advances in Energy Systems Modeling and Control

An advanced nonlinear switched heat exchanger model for vapor compression cycles using the moving-boundary method

“…5 was modeled using the Thermosys Matlab/Simulink toolbox (Alleyne et al, 2007). Models for vapor compression cycle components are detailed by Rasmussen (2006).…”

“…refrigerant and structure masses, specific heats, latent heats) are also adequately represented, the model will give accurate transient predictions. In fact, moving-boundary techniques have already been shown to provide reasonably accurate transient predictions (Grald and MacArthur, 1992;Rasmussen, 2006;Leducq et al, 2003;Bendapudi, 2004;Alleyne et al, 2007). Nevertheless, further experimental validation against both steady-state and transient data is planned.…”

Improving the control performance of an Organic Rankine Cycle system for waste heat recovery from a heavy-duty diesel engine using a model-based approach

“…A somewhat richer literature is available on dynamic modelling and control of vapor compression cycles, the "reverse" of Rankine cycles ( [10], [11], [12]). …”

Supervision and control prototyping for an engine exhaust gas heat recovery system based on a steam Rankine cycle

“…A somewhat richer literature exists on dynamic modeling and control of vapor compression cycles, the "reverse" of Rankine cycle, for air conditioning systems (see, for instance, [16] and the numerous papers of the Alleyne Research Group [17], [18], [19]). More particularly, in [18], a solid approach is presented for both modeling, with the use of simplified (movingboundary) heat exchanger models, and control design, with the development of control systems of increasing complexity (from decentralized PI-based control to multivariable H ∞ synthesis) to improve performance.…”

“…Implementation in a decentralized control scheme Implementing the strategy above requires designing a controller for a two-input two-output (TITO) system. A coupling analysis on the linearized system (similar to that presented in [19] for a vapor compression cycle) shows that it is possible to design a decentralized control system with the following input-output pairing: {ṁ The resulting control scheme, shown in Figure 6, is based on two anti-wind up PI controllers (with the quite standard implementation structure described in [24]). Initial tuning is performed on reduced linear models computed around the main design operating point.…”