Conference Proceedings: SolarPACES 2021
POLYPHEM participated in the 27th edition of SolarPACES, which took place online from September 27 to October 1, 2021. Let’s learn more about POLYPHEM partners’ contributions during this event!
On this occasion, Fraunhofer Institute for Solar Energy Systems (ISE) presented an abstract and a paper about the project.
ABSTRACT
Authors Shahab Rohani, Pedro Rubio, Maitane Ferreres, Tatvakumar Bhanderi, Julius Weiss, Peter Schöttl, Thomas Fluri
Introduction In this work, an innovative CSP plant concept comprising of a combined Brayton and Organic Rankine Cycle (ORC) and a stratified Thermal Energy Storage (TES) is investigated. A dynamic model of the plant is developed and used to perform annual simulations to investigate the plant at different locations under variety of DNI levels and demand conditions. The focus of the study is on the dynamic behavior in terms of response time to the demand profile and changing the operation mode, for example, from charging to discharging (dispatchability). This implies the question of the optimum configuration under different conditions. As an optimization constraint, the target LCOE proposed by the POLYPHEM project is considered [1].
PAPER
Authors Pedro Rubio, Shahab Rohani, Maitane Ferreres, Tatvakumar Bhanderi, Julius Weiss, Peter Schöttl, Thomas Fluri
Abstract In this work, an innovative CSP plant concept comprising a combined Brayton and Organic Rankine Cycle (ORC) and a stratified Thermal Energy Storage (TES) is investigated. A dynamic model of the plant is developed and used to perform annual simulations to investigate the plant at different locations under a variety of DNI levels and demand conditions. The focus of the study is on the dynamic behavior, in terms of response time to the demand profile and changing the operation mode, for example, from charging to discharging (dispatchability). Annual yield and LCOE calculations are performed for every scenario. Results show two optimization opportunities, in the first one, by means of a sensitivity analysis the design is adjusted and it is possible to increase 10% of the electricity production. A second analysis shows the possibility of including an operational mode that maximizes the use of TES and increases electricity production by 11%. The application of both strategies results in a 21% increase in electricity.