Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods

Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

“…Based on our previous experimental work and literature research, we established important simplifying assumptions for the modelling of this component:  for typical AdCM based energy systems, there are always adequate storages (hot and cold) planned and these smoothen the cyclic temperature pattern due to their damping effect, thus making it unnecessary to model this pattern in detail (Bürger et al, 2017;Sawant and Pfafferott, 2017)  the heat released to the environment over an entire cycle is approximately equal to the sum of driving heat and the cooling capacity (Bürger et al, 2017;Sawant and Pfafferott, 2017)  manufacturer's catalogues of widely used industrial AdCMs provide characteristic curves for cooling capacity and COP based on inlet temperatures in the three circuits (FAHRENHEIT GmbH, 2019; Invensor GmbH, 2019) Considering the above findings and assumptions, we applied regression analysis to fit the cooling capacity and 𝐶𝑂𝑃 of the AdCM as second order functions of the three inlet temperatures as shown in ( 6) and ( 7 The energy balance over the three circuits was done as per ( 8) and ( 9). 𝑃 𝑡ℎ_𝐴𝑑𝐶𝑀_𝐻𝑇 = 𝑃 𝑡ℎ_𝐴𝑑𝐶𝑀_𝐿𝑇 𝐶𝑂𝑃 (8)…”

Optimal operation of adsorption chillers: First implementation and experimental evaluation of a nonlinear model-predictive-control strategy

“…The discretised model of an heat exchanger used by Lanzerath et al [6] is illustrated in Figure B. 20. In each liquid cell, the energy and mass balance is solved.…”