Structural Performance-Based Design Optimisation of a Secondary Mirror for a Concentrated Solar Power (CSP) Plant

Abstract

Concentrated Solar Power (CSP) plants use mirrors to reflect and concentrate sunlight onto a receiver, to heat a fluid and store thermal energy, at high temperature and energy density, to produce dispatchable heat and/or electricity. The secondary mirror is a critical component in the optical system of certain Solar Power Tower plants (SPT), as it redirects the concentrated sunlight from the primary mirror onto the receiver, which can be arranged at ground level. In this study, we propose a design optimisation for the secondary mirror of a CSP plant. The design optimisation method consists of two steps. The first step involves the use of the finite element simulation software Abaqus 2022 to analyse the structural performance of the secondary mirror under thermal loads and wind. The second step consists of the use of simulation results to identify the combination of design parameters and best performances, with respect to both design constraints and structural safety. This is carried out by developing an algorithm that selects those configurations which satisfy the constraints by using safety coefficients. The proposed optimisation method is applied to the design of a potential configuration of a secondary mirror for the beam-down of the CSP Magaldi STEM® technology, although the methodology can be extended to other components of CSP plants, such as primary mirrors and receivers, to further enhance the structural performance of these systems.

Special Issue “Applications of Advanced Control and Optimization Paradigms in Renewable Energy Systems”

“…These simulations are part of an ongoing project and will be compared with irradiation experiments at the Idaho National Laboratory's Advanced Test Reactor. Pinello et al [5] designed a framework for structurally optimizing secondary mirrors in Concentrated Solar Power (CSP) plants, including both the mirror and its mounting brackets. The framework utilizes Python code to adjust the structural model created in Abaqus for various configurations and perform Finite Element Method (FEM) analysis under four different loading conditions.…”