An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time

Abdihakim Bokah; Alireza Maheri

doi:10.1109/EFEA49713.2021.9406273

An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time

Abdihakim Bokah, Alireza Maheri

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

8 Downloads (Pure)

Abstract

This paper presents a multiobjective load planning algorithm for industrial applications with integrated hybrid renewable energy systems (HRES). The focus of the paper is on the planning of loads with time-dependent duration. In some cases, the duration of the machinery operation depends on the external parameters and can vary depending on what time of the day they are operating. The presented algorithm, implemented in the software MOHRES, is based on the multicriteria assessment of the system against several performance measures. Through a case study, the performance of the algorithm is evaluated. It is shown how the algorithm can successfully find Pareto solutions with minimal production cost and optimal HRES performance measures.

Original language	English
Title of host publication	6th International Symposium on Environment Friendly Energies and Applications
Editors	Radostina A. Angelova, Rositsa Velichkova
Publisher	IEEE Explore
Number of pages	5
ISBN (Electronic)	978-1-7281-7011-4
ISBN (Print)	978-1-7281-7012-1
DOIs	https://doi.org/10.1109/EFEA49713.2021.9406273
Publication status	Published - 21 Apr 2021
Event	6th International Symposium on Environment Friendly Energies and Applications - Vitosha Park Hotel/Technical University of Sofia, Sofia, Bulgaria Duration: 24 Mar 2021 → 26 Mar 2021 Conference number: 6th http://efeaconf.com/

Publication series

Name
ISSN (Print)	2641-5925
ISSN (Electronic)	2688-2558

Conference

Conference	6th International Symposium on Environment Friendly Energies and Applications
Abbreviated title	EFEA 2021
Country/Territory	Bulgaria
City	Sofia
Period	24/03/21 → 26/03/21
Internet address	http://efeaconf.com/

Keywords

HRES
Hybrid renewable energy systems
load planning
energy efficient production
MOHRES

UN SDGs

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

Access to Document

10.1109/EFEA49713.2021.9406273Licence: Unspecified

Bokah_et_al_EFEA_2021_AnAlgorithmForLoad2_AAM
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Accepted author manuscript, 340 KBLicence: Unspecified

Cite this

An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time. / Bokah, Abdihakim; Maheri, Alireza.
6th International Symposium on Environment Friendly Energies and Applications. ed. / Radostina A. Angelova; Rositsa Velichkova. IEEE Explore, 2021. 9406273.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Bokah, A & Maheri, A 2021, An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time. in RA Angelova & R Velichkova (eds), 6th International Symposium on Environment Friendly Energies and Applications., 9406273, IEEE Explore, 6th International Symposium on Environment Friendly Energies and Applications, Sofia, Bulgaria, 24/03/21. https://doi.org/10.1109/EFEA49713.2021.9406273

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title = "An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time",

abstract = "This paper presents a multiobjective load planning algorithm for industrial applications with integrated hybrid renewable energy systems (HRES). The focus of the paper is on the planning of loads with time-dependent duration. In some cases, the duration of the machinery operation depends on the external parameters and can vary depending on what time of the day they are operating. The presented algorithm, implemented in the software MOHRES, is based on the multicriteria assessment of the system against several performance measures. Through a case study, the performance of the algorithm is evaluated. It is shown how the algorithm can successfully find Pareto solutions with minimal production cost and optimal HRES performance measures.",

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author = "Abdihakim Bokah and Alireza Maheri",

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AB - This paper presents a multiobjective load planning algorithm for industrial applications with integrated hybrid renewable energy systems (HRES). The focus of the paper is on the planning of loads with time-dependent duration. In some cases, the duration of the machinery operation depends on the external parameters and can vary depending on what time of the day they are operating. The presented algorithm, implemented in the software MOHRES, is based on the multicriteria assessment of the system against several performance measures. Through a case study, the performance of the algorithm is evaluated. It is shown how the algorithm can successfully find Pareto solutions with minimal production cost and optimal HRES performance measures.

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KW - Hybrid renewable energy systems

KW - load planning

KW - energy efficient production

KW - MOHRES

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SN - 978-1-7281-7012-1

BT - 6th International Symposium on Environment Friendly Energies and Applications

A2 - Angelova, Radostina A.

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An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Design optimisation of hybrid renewable energy systems

Cite this

An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Impacts

Design optimisation of hybrid renewable energy systems

Cite this