Abstract
An approach fofsr data-driven modelling of open sorption storage systems using zeolite as storage material is presented. The overall dynamic simulation model has the inflow air stream mass flow and absolute humidity as inputs and computes the outflow air temperature. The model is sub-divided into several components, where dynamic state space and process model identification techniques are applied. A comparison of the proposed modelling technique with simulated data from a validated model based on first principles shows that a reasonable accuracy − for a model application in temperature control systems design − can be obtained. It was found that using the proposed strategy, only a limited number of experiments are required, thus saving experimental time. Moreover, the computational requirements for a simulation using the proposed model are greatly reduced compared to a simulation model where differential equations discretised in time and space must be solved.
Highlights
As per December 2020, EU decided to cut down greenhouse-gas emissions by 55% by the year 2030 [1]
The goal of this study is to derive a mathematical relation between the temperature TIN and humidity hIN of an inflowing airstream into a fixed bed sorption storage schematically shown in Figure 2, and the temperature TOUT and humidity hOUT of the outflowing airstream
It is worthwhile to mention that from a systems theory point of view this system is a switching system and it is nonlinear
Summary
As per December 2020, EU decided to cut down greenhouse-gas emissions by 55% (with respect to 1990) by the year 2030 [1]. Among the sectors responsible for a large share of the emissions are industry, electrical power generation, transportation, agriculture, and heating and cooling in commercial and residential buildings. In the heating and cooling sector for commercial and residential buildings, technologies for renewable generation are available and well established. An overproduction during periods of increased irradiation may not be required and is wasted, while the undersupply must be covered by potentially non-renewable energy sources. Several techniques for long-term solar energy storage were analysed in the literature [2]. Among those techniques proposed, thermochemical storages are a very promising alternative [3] since they can significantly reduce the required space for the storage because of increased energy density of the material itself
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