Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats

Abdulaziz M. Qwbaiban; Shen Zhang; Thomas G. Habetler

doi:10.1109/ECCE44975.2020.9235409

Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats

Abdulaziz M. Qwbaiban
, Shen Zhang
, Thomas G. Habetler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a design method to simultaneously optimize the electric motor and drivetrain system for driving heliostats in concentrated solar power (CSP) plants. To start with, the torque capabilities of the system is specified by identifying the moment of inertia and the maximum wind load of a benchmark heliostat, as well as properly defining the extreme motion profile. Secondly, the optimal gear ratio of the drivetrain system can be determined based on inertia matching theory, which can be used to select an off-the-shelf drivetrain with a gear ratio close to the optimal value. Simultaneously, the maximum torque requirement of the induction motor and its axial length can be optimized by using Maxwell's stress tensor. Finally, results from finite element analysis (FEA) for the induction motor are provided to verify the concepts developed in this paper.

Original language	English
Title of host publication	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	485-490
Number of pages	6
ISBN (Electronic)	9781728158266
DOIs	https://doi.org/10.1109/ECCE44975.2020.9235409
State	Published - 11 Oct 2020
Externally published	Yes
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020

Publication series

Name	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	11/10/20 → 15/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Concentrated solar power (CSP)
Maxwell's stress
drivetrain
heliostats
induction motors
particle swarm optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology

Access to Document

10.1109/ECCE44975.2020.9235409

Cite this

Qwbaiban, A. M., Zhang, S., & Habetler, T. G. (2020). Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 485-490). Article 9235409 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE44975.2020.9235409

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title = "Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats",

abstract = "This paper presents a design method to simultaneously optimize the electric motor and drivetrain system for driving heliostats in concentrated solar power (CSP) plants. To start with, the torque capabilities of the system is specified by identifying the moment of inertia and the maximum wind load of a benchmark heliostat, as well as properly defining the extreme motion profile. Secondly, the optimal gear ratio of the drivetrain system can be determined based on inertia matching theory, which can be used to select an off-the-shelf drivetrain with a gear ratio close to the optimal value. Simultaneously, the maximum torque requirement of the induction motor and its axial length can be optimized by using Maxwell's stress tensor. Finally, results from finite element analysis (FEA) for the induction motor are provided to verify the concepts developed in this paper.",

keywords = "Concentrated solar power (CSP), Maxwell's stress, drivetrain, heliostats, induction motors, particle swarm optimization",

author = "Qwbaiban, \{Abdulaziz M.\} and Shen Zhang and Habetler, \{Thomas G.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",

year = "2020",

month = oct,

day = "11",

doi = "10.1109/ECCE44975.2020.9235409",

language = "English",

series = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Qwbaiban, AM, Zhang, S & Habetler, TG 2020, Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats. in ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9235409, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers Inc., pp. 485-490, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States, 11/10/20. https://doi.org/10.1109/ECCE44975.2020.9235409

Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats. / Qwbaiban, Abdulaziz M.; Zhang, Shen; Habetler, Thomas G.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. p. 485-490 9235409 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats

AU - Qwbaiban, Abdulaziz M.

AU - Zhang, Shen

AU - Habetler, Thomas G.

PY - 2020/10/11

Y1 - 2020/10/11

N2 - This paper presents a design method to simultaneously optimize the electric motor and drivetrain system for driving heliostats in concentrated solar power (CSP) plants. To start with, the torque capabilities of the system is specified by identifying the moment of inertia and the maximum wind load of a benchmark heliostat, as well as properly defining the extreme motion profile. Secondly, the optimal gear ratio of the drivetrain system can be determined based on inertia matching theory, which can be used to select an off-the-shelf drivetrain with a gear ratio close to the optimal value. Simultaneously, the maximum torque requirement of the induction motor and its axial length can be optimized by using Maxwell's stress tensor. Finally, results from finite element analysis (FEA) for the induction motor are provided to verify the concepts developed in this paper.

AB - This paper presents a design method to simultaneously optimize the electric motor and drivetrain system for driving heliostats in concentrated solar power (CSP) plants. To start with, the torque capabilities of the system is specified by identifying the moment of inertia and the maximum wind load of a benchmark heliostat, as well as properly defining the extreme motion profile. Secondly, the optimal gear ratio of the drivetrain system can be determined based on inertia matching theory, which can be used to select an off-the-shelf drivetrain with a gear ratio close to the optimal value. Simultaneously, the maximum torque requirement of the induction motor and its axial length can be optimized by using Maxwell's stress tensor. Finally, results from finite element analysis (FEA) for the induction motor are provided to verify the concepts developed in this paper.

KW - Concentrated solar power (CSP)

KW - Maxwell's stress

KW - drivetrain

KW - heliostats

KW - induction motors

KW - particle swarm optimization

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M3 - Conference contribution

AN - SCOPUS:85097174246

T3 - ECCE 2020 - IEEE Energy Conversion Congress and Exposition

SP - 485

EP - 490

BT - ECCE 2020 - IEEE Energy Conversion Congress and Exposition

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

Y2 - 11 October 2020 through 15 October 2020

ER -

Qwbaiban AM, Zhang S, Habetler TG. Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc. 2020. p. 485-490. 9235409. (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE44975.2020.9235409

Co-Optimization of an Electric Motor-Drivetrain System for Concentrated Solar Power Heliostats

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this