Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage

A. Khalilnejad; A. Sundararajan; A. I. Sarwat

doi:10.1109/ICPS.2016.7490222

Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage

A. Khalilnejad, A. Sundararajan, A. I. Sarwat

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

15 Scopus citations

Abstract

Power electronics-based electrolyzer systems are prevalently in current use. This paper proposes the more recently employed directly coupled photovoltaic (PV) electrolyzer systems. Equipped with accurate electrical models of the advanced alkaline electrolyzer, PV system and Hydrogen storage tank simulated using MATLAB, the system's performance for a full week is analyzed using Miami, Florida's meteorological data. A multi-level Genetic Algorithm (GA)-based optimization facilitates maximum hydrogen production, minimum excess power generation, and minimum energy transfer loss. The crucial effect of temperature on the overall system performance is also accounted for by optimizing this parameter using GA, maintaining operating conditions close to the Maximum Power Point (MPP) of the PV array. The results of the analysis have been documented to show that the optimal system for a 10 kW electrolyzer can produce, on an average, Hydrogen of 0.0176 mol/s, when the system is operating with 6.3% power loss and 2.4% power transfer loss.

Original language	English
Title of host publication	Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467386715
DOIs	https://doi.org/10.1109/ICPS.2016.7490222
State	Published - Jun 10 2016
Externally published	Yes
Event	52nd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2016 - Detroit, United States Duration: May 1 2016 → May 5 2016

Publication series

Name	Conference Record - Industrial and Commercial Power Systems Technical Conference
Volume	2016-June

Conference

Conference	52nd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2016
Country/Territory	United States
City	Detroit
Period	05/1/16 → 05/5/16

Funding

This work is supported by the National Science Foundation under Grant No. 1541108. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and not necessarily reflect the views of NSF.

Keywords

Advanced alkaline electrolyzer
Genetic Algorithm
Hydrogen production
Photovoltaic
directly coupled system

Access to Document

10.1109/ICPS.2016.7490222

Cite this

Khalilnejad, A., Sundararajan, A., & Sarwat, A. I. (2016). Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage. In Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016 Article 7490222 (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2016-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPS.2016.7490222

Khalilnejad, A. ; Sundararajan, A. ; Sarwat, A. I. / Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage. Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (Conference Record - Industrial and Commercial Power Systems Technical Conference).

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title = "Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage",

abstract = "Power electronics-based electrolyzer systems are prevalently in current use. This paper proposes the more recently employed directly coupled photovoltaic (PV) electrolyzer systems. Equipped with accurate electrical models of the advanced alkaline electrolyzer, PV system and Hydrogen storage tank simulated using MATLAB, the system's performance for a full week is analyzed using Miami, Florida's meteorological data. A multi-level Genetic Algorithm (GA)-based optimization facilitates maximum hydrogen production, minimum excess power generation, and minimum energy transfer loss. The crucial effect of temperature on the overall system performance is also accounted for by optimizing this parameter using GA, maintaining operating conditions close to the Maximum Power Point (MPP) of the PV array. The results of the analysis have been documented to show that the optimal system for a 10 kW electrolyzer can produce, on an average, Hydrogen of 0.0176 mol/s, when the system is operating with 6.3% power loss and 2.4% power transfer loss.",

keywords = "Advanced alkaline electrolyzer, Genetic Algorithm, Hydrogen production, Photovoltaic, directly coupled system",

author = "A. Khalilnejad and A. Sundararajan and Sarwat, {A. I.}",

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Khalilnejad, A, Sundararajan, A & Sarwat, AI 2016, Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage. in Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016., 7490222, Conference Record - Industrial and Commercial Power Systems Technical Conference, vol. 2016-June, Institute of Electrical and Electronics Engineers Inc., 52nd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2016, Detroit, United States, 05/1/16. https://doi.org/10.1109/ICPS.2016.7490222

Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage. / Khalilnejad, A.; Sundararajan, A.; Sarwat, A. I.
Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7490222 (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2016-June).

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

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AB - Power electronics-based electrolyzer systems are prevalently in current use. This paper proposes the more recently employed directly coupled photovoltaic (PV) electrolyzer systems. Equipped with accurate electrical models of the advanced alkaline electrolyzer, PV system and Hydrogen storage tank simulated using MATLAB, the system's performance for a full week is analyzed using Miami, Florida's meteorological data. A multi-level Genetic Algorithm (GA)-based optimization facilitates maximum hydrogen production, minimum excess power generation, and minimum energy transfer loss. The crucial effect of temperature on the overall system performance is also accounted for by optimizing this parameter using GA, maintaining operating conditions close to the Maximum Power Point (MPP) of the PV array. The results of the analysis have been documented to show that the optimal system for a 10 kW electrolyzer can produce, on an average, Hydrogen of 0.0176 mol/s, when the system is operating with 6.3% power loss and 2.4% power transfer loss.

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Khalilnejad A, Sundararajan A, Sarwat AI. Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage. In Conference Record - 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, I and CPS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7490222. (Conference Record - Industrial and Commercial Power Systems Technical Conference). doi: 10.1109/ICPS.2016.7490222

Performance evaluation of optimal photovoltaic-electrolyzer system with the purpose of maximum Hydrogen storage

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Keywords

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