Back to Search
Start Over
Prediction of the time constant of small-scale concentrated solar CHP plants
- Source :
- E3S Web of Conferences, Vol 238, p 01001 (2021), E3S Web Conferences
- Publication Year :
- 2021
- Publisher :
- EDP Sciences, 2021.
-
Abstract
- The operation of a power plant based on solar energy can vary significantly with time because of the intrinsic intermittency of the energy resource. Hence, a smart management is required to deal with the complex dynamic variations of the different subsystems. In order to do that, different control logics can be implemented but their effectiveness strictly depends on the temporal evolution of the parameters considered. For a given plant configuration, their exact estimation can be obtained through experimental tests during the commissioning of the plant. However, any change in the design parameters of the plant reflects in a different time constant, whose preliminary knowledge may be of support in tuning the control logic of the plant during the design stage. Therefore, based on the configuration of a small-scale concentrated solar combined heat and power plant as designed and built under the EU funded project Innova MicroSolar by several universities and companies, in this study a prediction of the time constant of several plant configurations with varying solar multiple and size of the storage tank is performed. By making use of the dynamic simulator previously developed by some of the authors, an estimation of such characteristic is assessed in case of potential redesign of the plant, providing also useful suggestions into the design of the control logic.
- Subjects :
- lcsh:GE1-350
Power station
business.industry
Computer science
020209 energy
Scale (chemistry)
Control engineering
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
H800
Solar energy
law.invention
Resource (project management)
020401 chemical engineering
law
Intermittency
Storage tank
0202 electrical engineering, electronic engineering, information engineering
0204 chemical engineering
Control logic
business
Energy (signal processing)
lcsh:Environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 22671242
- Volume :
- 238
- Database :
- OpenAIRE
- Journal :
- E3S Web of Conferences
- Accession number :
- edsair.doi.dedup.....ee06cdfcaa94b9f3c5421e49f01b12c3