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Geometric design of micro scale volumetric receiver using system-level inputs: An application of surrogate-based approach

Title	Geometric design of micro scale volumetric receiver using system-level inputs: An application of surrogate-based approach
Author	Akba, Tufan, Baker, D. K., Mengüç, Mustafa Pınar
Publication Date:	2023-09-15
Publication Place	- Elsevier
Subject	Concentrating solar thermal, Kriging, OpenMDAO, Surrogate-based optimization, Volumetric solar receiver
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	0038-092X
Record ID	b0314171-3044-4e5c-9390-d3d2a0c72e6a
Library Location	Mechanical Engineering
Date	2023-09-15
Sample Text	Concentrating solar thermal power is an emerging renewable technology with accessible storage options to generate electricity when required. Central receiver systems or solar towers have the highest commercial potential in large-scale power plants because of reaching the highest temperature. With the increasing solar chemistry applications and new solar thermal power plants, various receiver designs require in micro or macro-scale, in materials, and temperature limits. The purpose of the article is computing the geometry of the receiver in various conditions and provide information during the conceptual design. This paper proposes a surrogate-based design optimization for a micro-scale volumetric receiver model in the literature. The study includes creating training data using the Latin Hypercube method, training five different surrogate models, surrogate model validation, selection procedure, and surrogate-based design optimization. Selected surrogates have over 98% R2 fit and less than 4% root mean square error. In final step, optimization performance compared with the base model. Because of the model complexity, surrogate models reached better objective values in a significantly shorter time.
DOI	10.1016/j.solener.2023.111811
Cilt	262

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Geometric design of micro scale volumetric receiver using system-level inputs: An application of surrogate-based approach

Author Akba, Tufan, Baker, D. K., Mengüç, Mustafa Pınar

Publication Date 2023-09-15

Publication Place - Elsevier

Subject Concentrating solar thermal, Kriging, OpenMDAO, Surrogate-based optimization, Volumetric solar receiver

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 0038-092X

Record ID b0314171-3044-4e5c-9390-d3d2a0c72e6a

Library Location Mechanical Engineering

Date 2023-09-15

Sample Text Concentrating solar thermal power is an emerging renewable technology with accessible storage options to generate electricity when required. Central receiver systems or solar towers have the highest commercial potential in large-scale power plants because of reaching the highest temperature. With the increasing solar chemistry applications and new solar thermal power plants, various receiver designs require in micro or macro-scale, in materials, and temperature limits. The purpose of the article is computing the geometry of the receiver in various conditions and provide information during the conceptual design. This paper proposes a surrogate-based design optimization for a micro-scale volumetric receiver model in the literature. The study includes creating training data using the Latin Hypercube method, training five different surrogate models, surrogate model validation, selection procedure, and surrogate-based design optimization. Selected surrogates have over 98% R2 fit and less than 4% root mean square error. In final step, optimization performance compared with the base model. Because of the model complexity, surrogate models reached better objective values in a significantly shorter time.

DOI 10.1016/j.solener.2023.111811

Cilt 262