TY - GEN
T1 - Dynamic Simulation of a Load-Matching Photovoltaic System for Green Hydrogen Production
AU - Polo, Christian R.
AU - Parquette, William J.
AU - Tan, Kelvin
AU - Tao, Meng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents the electrolytic application of a load-matching PV system to produce green hydrogen. The system has proven its viability with purely resistive loads, and a static analysis has shown the performance potential of the system for electrolytic applications. This paper focuses on dynamic simulation of the load-matching PV system for green hydrogen production in SIMULINK. It is shown that an over 99% energy transfer efficiency from the PV array's available energy to the electrolytic loads can be achieved under dynamic conditions for the system. The design parameters to optimize include the number of hydrogen cells per stack, the stack resistance, and the number of available stacks in the system. This system provides a simple but efficient approach for large-scale photovoltaic hydrogen production.
AB - This paper presents the electrolytic application of a load-matching PV system to produce green hydrogen. The system has proven its viability with purely resistive loads, and a static analysis has shown the performance potential of the system for electrolytic applications. This paper focuses on dynamic simulation of the load-matching PV system for green hydrogen production in SIMULINK. It is shown that an over 99% energy transfer efficiency from the PV array's available energy to the electrolytic loads can be achieved under dynamic conditions for the system. The design parameters to optimize include the number of hydrogen cells per stack, the stack resistance, and the number of available stacks in the system. This system provides a simple but efficient approach for large-scale photovoltaic hydrogen production.
KW - green hydrogen
KW - load management
KW - load matching
KW - maximum power point tracking
KW - photovoltaic hydrogen production
UR - http://www.scopus.com/inward/record.url?scp=85130041175&partnerID=8YFLogxK
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U2 - 10.1109/PVSC48317.2022.9938948
DO - 10.1109/PVSC48317.2022.9938948
M3 - Conference contribution
AN - SCOPUS:85130041175
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 339
EP - 343
BT - 2022 IEEE 49th Photovoltaics Specialists Conference, PVSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Photovoltaics Specialists Conference, PVSC 2022
Y2 - 5 June 2022 through 10 June 2022
ER -