scholarly journals Nowcasting, predictive control, and feedback control for temperature regulation in a novel hybrid solar-electric reactor for continuous solar-thermal chemical processing

Solar Energy ◽  
2018 ◽  
Vol 174 ◽  
pp. 474-488 ◽  
Author(s):  
Scott C. Rowe ◽  
Illias Hischier ◽  
Aaron W. Palumbo ◽  
Boris A. Chubukov ◽  
Mark A. Wallace ◽  
...  
Keyword(s):  
Feedback Control ◽  
Predictive Control ◽  
Temperature Regulation ◽  
Solar Thermal ◽  
Chemical Processing

Rapid Solar-thermal Decarbonization of Methane in a Fluid-wall Aerosol Flow Reactor -- Fundamentals and Application

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Jeffrey Wyss ◽  
Janna Martinek ◽  
Michael Kerins ◽  
Jaimee K Dahl ◽  
Alan Weimer ◽  
...  
Keyword(s):  
Flow Reactor ◽  
Rapid Heating ◽  
Solar Thermal ◽  
Reactor Wall ◽  
Thermal Mass ◽  
Chemical Processing ◽  
Aerosol Flow ◽  
The Past ◽  
Industrial Rubber ◽  
Products Of Reaction

A graphite fluid-wall aerosol flow reactor heated with concentrated sunlight has been developed over the past five years for the solar-thermal decarbonization of methane. The fluid-wall is provided by an inert or compatible gas that prevents contact of reactants and products of reaction with a graphite reaction tube. The reactor provides for a low thermal mass that is compatible with intermittent sunlight and the graphite construction allows rapid heating/cooling rates and ultra-high temperatures. The decarbonization of methane has been demonstrated at over 90% for residence times on the order of 10 milliseconds at a reactor wall temperature near 2000 K. The carbon black resulting from the dissociation of methane is nanosized, amorphous, and ash-free and can be used for industrial rubber production. The hydrogen can be supplied to a pipeline and used for chemical processing or to supply fuel cell vehicles.

Model predictive control of a high efficiency solar thermal cooling system with thermal storage

2019 ◽  
Vol 196 ◽  
pp. 214-226 ◽  
Author(s):  
Sergio Pintaldi ◽  
Jiaming Li ◽  
Subbu Sethuvenkatraman ◽  
Stephen White ◽  
Gary Rosengarten
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Efficiency ◽  
Cooling System ◽  
Thermal Storage ◽  
Solar Thermal ◽  
Solar Thermal Cooling ◽  
Thermal Cooling

scholarly journals Robust Feedback Control for Nonminimum Phase, Delayed, or Unstable Systems with Multiple Inputs

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Montserrat Gil-Martínez ◽  
Javier Rico-Azagra
Keyword(s):  
Feedback Control ◽  
Temperature Regulation ◽  
Phase Behaviour ◽  
Continuous Stirred Tank Reactor ◽  
Nonminimum Phase ◽  
Main Challenge ◽  
Higher Temperature ◽  
Continuous Stirred Tank ◽  
Temporary Decrease ◽  
Bandwidth Distribution

This paper presents a feedback control solution that achieves robust stability and disturbance rejection in systems with multiple manipulated inputs and a single measurable output. The uncertain plant models may exhibit either nonminimum phase, or delay, or unstable phenomena, which makes it not easy to take full advantage of the frequency response of each plant. In the framework of quantitative feedback theory (QFT), a methodology is proposed to decide the best control bandwidth distribution among inputs and to design the set of parallel controllers with as small as possible gain at each frequency. The temperature regulation in a continuous stirred-tank reactor (CSTR) illustrates the benefits of a quantitative frequency distribution of the dynamic controllability between the jacket flow and the feed flow. The main challenge is that the feed flow exhibits a higher temperature regulation capacity and also produces a temporary decrease in the reactor temperature (nonminimum phase behaviour).

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