Model based Optimization of a Combined Biomass-solar Thermal System

Stift, Florian; Hartl, Michael; Ferhatbegovic, Tarik; Aigenbauer, S.; Simetzberger, Andreas

doi:10.1016/j.egypro.2014.02.079

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Hartl et al [20] monitored three hot water storage tanks, equipped with integrated pellet burners, installed in single family houses in Austria. Successively, a simulation study was performed to optimise the system's controls [21]. Verma et al [22] measured emission factors and efficiencies of pellet boilers at the test stand and during short-term field measurements.…”

Section: Introductionmentioning

confidence: 99%

Efficiency and operational behaviour of small-scale pellet boilers installed in residential buildings

et al. 2015

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Section: Introductionmentioning

confidence: 99%

Efficiency and operational behaviour of small-scale pellet boilers installed in residential buildings

et al. 2015

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“…The Type 869 boiler model requires 18 inputs and 51 parameters. Some parameters can be found in the boiler's technical documentation provided by the manufacturer [46], others must be determined either experimentally or default values must be assumed [47,48]. By means of the laboratory tests, we determined the parameters that are needed to calculate: The Type 869 boiler model could also be used for calculating the CO emissions of the boiler.…”

Section: Model Calibrationmentioning

confidence: 99%

Experimental validation of a thermodynamic boiler model under steady state and dynamic conditions

et al. 2015

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“…Pellet boilers can cover the heating demand and benefit by combining with solar heating since the low load operation with low efficiency and relatively higher emissions in summer is prevented [2,3]. Measurements of biomass boiler performance in field conditions show the importance of correct design and control of the system [4][5][6][7][8]. In particular the parameters related to the controller settings are shown to influence the system performance.…”

mentioning

confidence: 99%

Modelling of dynamics and stratification effects in pellet boilers

et al. 2019

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Optimizing solar and pellet heating systems can be performed by system simulations in TRNSYS. However; this requires detailed boiler models that can properly model the thermal behaviour of the boilers, such as stratification and thermal response. This study uses a combination of existing models for modelling of the pellet burner part (TRNSYS Type 210) and the water volume (TRNSYS Type 340). This approach addresses the thermal dynamics and internal stratification more accurately than other available models. The objectives of this work are to develop a method for parameter identification for the model and to validate this method and the model itself. Sets of parameters are identified for two pellet boilers and one pellet stove with a water jacket (extended room heater) and the model is validated with a realistic dynamic operation sequence. The results show that modelling of stratification is essential in order to model the true behaviour of residential boilers. The test sequences used were adequate to parameterise the models and to provide the desired accuracy, except regarding the heat losses to room air. The model shows good accuracy for a stove and one boiler, but slightly worse performance for the other boiler regarding dynamics and modelling of the stratification.

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Model based Optimization of a Combined Biomass-solar Thermal System

Cited by 4 publications

References 3 publications

Efficiency and operational behaviour of small-scale pellet boilers installed in residential buildings

Efficiency and operational behaviour of small-scale pellet boilers installed in residential buildings

Experimental validation of a thermodynamic boiler model under steady state and dynamic conditions

Modelling of dynamics and stratification effects in pellet boilers

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