Short-Term Operation Flexibility in Modular Power to Hydrogen Based Ammonia Industries

Modularization of Hydrogen Electrolyzers (HEs) is projected to be immediate, resilient, and efficient for load management in large-scale Hydrogen Consuming Industries (HCIs). It offers a scalable and flexible solution that can adapt to changes in hydrogen and power system demands. However, Modular HEs are studied primarily as small-scale wind hydrogen systems only, converting excess Renewable Energy (RE) into hydrogen without the integration of rigid downstream operations. Downstream constraints in HCIs, like rigid hydrogen demands, device operational/ramping limits, and storage constraints, can limit or regulate modular HE's use for power system services. Furthermore, oversimplified HE operational modeling within HCIs leads to suboptimal outcomes for integrated modular HCI and RE-rich power system (RPS) operations, resulting in RE curtailments and inaccurate flexibility estimations. This happens due to improper loading rates arising from unrealistic inter and intra-modular HE operations. This work proposes a comprehensive model for modular HE management in integrated ammonia (HCI) and power systems for flexibility in sector-coupled scenarios. The work considers and demonstrates how downstream constraints regulate HEs flexibility through a unit commitment problem framework. HE operations with detailed and extended electrochemical dynamics are considered to improve and enhance operational flexibility calculations of growing RPS-based modular HCIs. This allows for better sectoral integration and estimation of power system services.

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Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2024-10-07
DOI
https://doi.org/10.1109/tste.2024.3475415
Citations
9
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.96
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article

Short-Term Operation Flexibility in Modular Power to Hydrogen Based Ammonia Industries

Chandra Prakash Barala, Parul Mathuria, Aaquib Firdous, Rohit Bhakar
9 citations
IEEE Transactions on Sustainable Energy
Ammonia Synthesis and Nitrogen Reduction
0.96
article

Short-Term Operation Flexibility in Modular Power to Hydrogen Based Ammonia Industries

Chandra Prakash Barala, Parul Mathuria, Aaquib Firdous, Rohit Bhakar
article en
9 citations

Abstract

Modularization of Hydrogen Electrolyzers (HEs) is projected to be immediate, resilient, and efficient for load management in large-scale Hydrogen Consuming Industries (HCIs). It offers a scalable and flexible solution that can adapt to changes in hydrogen and power system demands. However, Modular HEs are studied primarily as small-scale wind hydrogen systems only, converting excess Renewable Energy (RE) into hydrogen without the integration of rigid downstream operations. Downstream constraints in HCIs, like rigid hydrogen demands, device operational/ramping limits, and storage constraints, can limit or regulate modular HE's use for power system services. Furthermore, oversimplified HE operational modeling within HCIs leads to suboptimal outcomes for integrated modular HCI and RE-rich power system (RPS) operations, resulting in RE curtailments and inaccurate flexibility estimations. This happens due to improper loading rates arising from unrealistic inter and intra-modular HE operations. This work proposes a comprehensive model for modular HE management in integrated ammonia (HCI) and power systems for flexibility in sector-coupled scenarios. The work considers and demonstrates how downstream constraints regulate HEs flexibility through a unit commitment problem framework. HE operations with detailed and extended electrochemical dynamics are considered to improve and enhance operational flexibility calculations of growing RPS-based modular HCIs. This allows for better sectoral integration and estimation of power system services.

IEEE Transactions on Sustainable EnergyVol. 16(1)
Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 28%
Ammonia Synthesis and Nitrogen Reduction
0.96
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