Modeling and Validation of the Energybase Solar Thermal Collector Field

Basciotti, Daniele; Fontanella, Giuliano; Dubisch, Florian; Judex, Florian

doi:10.18086/eurosun.2010.04.02

Cited by 1 publication

(2 citation statements)

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“…In this subsection a transient model for the solar collector suitable for the design of the model predictive controller is developed. The solar thermal system implemented in the ENERGYbase comprises a glass-covered flat plate solar collector field with a total aperture area of 274m 2 [14]. The steady-state behavior of a flat plate solar collector can be easily described using its efficiency, see (5).…”

Section: B Solar Collector Modelmentioning

confidence: 99%

“…which is modeled in terms of disturbance rejection. For the components of the solar-thermal system including the solar collector field as well as the heat-exchanger, object-oriented modeling using the open source modeling language Modelica [13] and validation of the models have been carried out in [14] and [15]. The aim is to control the temperature at the outputs of the heat exchanger in the solar circuit as well as storage circuit using model based predictive control where the desired set-points for the temperature should be achieved predictively consuming the minimum of energy whereas variations of (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Model based predictive control for a solar-thermal system

2011

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Buildings and their components account for a major amount of the overall global energy consumption. There is a rising demand to increase the end-use energy efficiency. Advanced automation and control for buildings and their components is one possibility how to achieve the desired goal of lower energy consumption. The model based predictive control approach as a special form of optimal control offers a good way to increase energy efficiency. This paper presents the employment of a model based predictive control algorithm for the energy efficient temperature control of a solar-thermal system consisting of a solar collector and a heat exchanger. The design of the controller is based upon a physical lumped model of the system components. In order to illustrate the potential of the model predictive approach for the use in building automation the comparison to a standard PI control approach is made where the energy consumption for both control concepts is analyzed.

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Section: B Solar Collector Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%