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Open AccessFeature PaperArticle

A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power

Process Systems and Operations Research Laboratory, UTC Institute for Advanced Systems Engineering and Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT 06269, USA
Processes 2018, 6(7), 76; https://doi.org/10.3390/pr6070076
Received: 6 June 2018 / Revised: 18 June 2018 / Accepted: 19 June 2018 / Published: 23 June 2018
(This article belongs to the Special Issue Modeling and Simulation of Energy Systems )
A dynamic model of a concentrating solar thermal array and thermal energy storage system is presented that is differentiable in the design decision variables: solar aperture area and thermal energy storage capacity. The model takes as input the geographic location of the system of interest and the corresponding discrete hourly solar insolation data, and calculates the annual thermal and economic performance of a particular design. The model is formulated for use in determining optimal hybridization strategies for industrial process heat applications using deterministic gradient-based optimization algorithms. Both convex and nonconvex problem formulations are presented. To demonstrate the practicability of the models, they were applied to four different case studies for three disparate geographic locations in the US. The corresponding optimal design problems were solved to global optimality using deterministic gradient-based optimization algorithms. The model and optimization-based analysis provide a rigorous quantitative design and investment decision-making framework for engineering design and project investment workflows. View Full-Text
Keywords: concentrating solar thermal; CST; concentrating solar power; CSP; parabolic trough; PTC; thermal storage; industrial process heat; hybrid solar concentrating solar thermal; CST; concentrating solar power; CSP; parabolic trough; PTC; thermal storage; industrial process heat; hybrid solar
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  • Externally hosted supplementary file 1
    Link: https://github.com/PSORLab/EAGO.jl
    Description: The EAGO global optimization package and the presented models can be found on the GitHub repository.
MDPI and ACS Style

Stuber, M.D. A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power. Processes 2018, 6, 76.

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