Control of Concentrated Solar Direct Steam Generation Collectors for Process Heat Applications

2021 ◽  
pp. 1-26
Author(s):  
Marwan Mokhtar ◽  
Christian Zahler ◽  
Robert Stieglitz
Keyword(s):  
Control Strategy ◽  
Pid Control ◽  
Feedforward Control ◽  
Real Life ◽  
Industrial Processes ◽  
Reliable Control ◽  
Steam Generation ◽  
Load Pressure ◽  
Life Conditions ◽  
Direct Steam

Abstract Solar Direct Steam Generation (DSG) systems are well suited for process steam applications and are able to provide steam at the pressure required by common industrial processes. Nevertheless, reliable control has always been a challenge for solar DSG system hindering its wider adoption. In this paper, a control strategy for solar DSG systems is presented. The control strategy is based on PID control theory combined with model-based feedforward control. Experimental data demonstrate that the control strategy provides good performance in terms of stability and setpoint tracking. The error in setpoint tracking for the load pressure controller is shown to be as low as 0.005 MPa under real life conditions. The said strategy is currently implemented in two commercially operating plants providing solar steam for industrial processes.

scholarly journals An expandable approach for design and personalization of digital, just-in-time adaptive interventions

2018 ◽  
Vol 26 (3) ◽  
pp. 198-210 ◽  
Author(s):  
Suat Gonul ◽  
Tuncay Namli ◽  
Sasja Huisman ◽  
Gokce Banu Laleci Erturkmen ◽  
Ismail Hakki Toroslu ◽  
...  
Keyword(s):  
Real Life ◽  
Personal Data ◽  
Just In Time ◽  
Intervention Design ◽  
Intervention Delivery ◽  
Life Conditions ◽  
Triggering Conditions ◽  
Delivery Strategies ◽  
Design Mechanism ◽  
Personalized Intervention

AbstractObjectiveWe aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people’s individual needs, momentary contexts, and psychosocial variables.Materials and MethodsWe propose a template-based digital intervention design mechanism enabling the configuration of evidence-based, just-in-time, adaptive intervention components. The design mechanism incorporates a rule definition language enabling experts to specify triggering conditions for interventions based on momentary and historical contextual/personal data. The framework continuously monitors and processes personal data space and evaluates intervention-triggering conditions. We benefit from reinforcement learning methods to develop personalized intervention delivery strategies with respect to timing, frequency, and type (content) of interventions. To validate the personalization algorithm, we lay out a simulation testbed with 2 personas, differing in their various simulated real-life conditions.ResultsWe evaluate the design mechanism by presenting example intervention definitions based on behavior change taxonomies and clinical guidelines. Furthermore, we provide intervention definitions for a real-world care program targeting diabetes patients. Finally, we validate the personalized delivery mechanism through a set of hypotheses, asserting certain ways of adaptation in the delivery strategy, according to the differences in simulation related to personal preferences, traits, and lifestyle patterns.ConclusionWhile the design mechanism is sufficiently expandable to meet the theoretical and clinical intervention design requirements, the personalization algorithm is capable of adapting intervention delivery strategies for simulated real-life conditions.

scholarly journals Multi-scale modelling of a large scale shell-and-tube latent heat storage system for direct steam generation power plants

2020 ◽  
Author(s):  
Clément Beust ◽  
Erwin Franquet ◽  
Jean-Pierre Bédécarrats ◽  
Pierre Garcia ◽  
Jérôme Pouvreau ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Storage System ◽  
Steam Generation ◽  
Latent Heat Storage ◽  
Multi Scale ◽  
Direct Steam ◽  
Scale Modelling ◽  
Shell And Tube ◽  
Generation Power

scholarly journals Steam drum design for direct steam generation

2017 ◽  
Author(s):  
Lisa Willwerth ◽  
Svenja Müller ◽  
Joachim Krüger ◽  
Manuel Succo ◽  
Jan Fabian Feldhoff ◽  
...  
Keyword(s):  
Steam Generation ◽  
Direct Steam ◽  
Steam Drum
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