News

Tuning of Real-Time Optimization of Heliostat Concentrated Solar Power

This study proposes a method to refine the Real-Time Optimization (RTO) algorithm for better stability and quick convergence, especially when the shape of the sunspot is uncertain.

Read the full study here.

Flowchart describing the performance forecasting methodology.

Featured Project

High Fidelity Performance Prediction Model

Description:
The components and controls FY24 subtask is focused on laminating and testing coupon sandwich mirror facets with 96% reflectivity mirrors. Improving reflectivity from 93% to 96% results in significant field performance gains that offer more than a one-to-one reduction in CSP LCOE. 96% reflectivity is achieved with 1-2 mm glass mirrors as opposed to the standard 3-4 mm glass. Such thin glass is not structurally robust and therefore requires additional support. Testing with coupons provide the opportunity to learn which adhesive materials and support structures provide the most protection to the silver layer as well as robustness to hail and other damage mechanisms.

Project Lead:
Alex Zolan, NREL

Status: 

• Software package release: in progress; a repository on GitHub houses the code and will be released to the public next fiscal year.

Featured Researcher

Bo Yang

Bo Yang recently joined the HelioCon project, taking over from Matthew Emes’ after his departure from University of Adelaide. Bo did his master's project with Maziar Arjomandi on a solar air receiver project, and later pursued his PhD under his supervision. This year, Bo completed his PhD thesis on hydrogen production from water electrolysis and have since begun his first-year postdoc working on a heat pump project.

Recent Publications 

• Flow control for bubble management in a membrane-free electrolyser - https://www.sciencedirect.com/science/article/pii/S030193222400051X?via%3Dihub 

Past Featured Researchers