Modelling the performance of wind-hydrogen energy systems: Case study the Hydrogen Office in Scotland/UK

L. Valverde-Isorna, D. Ali, D. Hogg, M. Abdel-Wahab

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

The "Hydrogen Office building (HO)" presents a wind-hydrogen energy system, located in Fife/Scotland, which has been set-up to demonstrate the role of hydrogen in reducing the impact of wind intermittency in a grid-tied microgrid. The main components of the system are a wind turbine, alkaline electrolyser, hydrogen storage and a PEM fuel cell. The building demand is met by the wind turbine, while the fuel cell provides back-up power to the ground floor when wind power is unable to meet the demand. Accurate modelling of wind-hydrogen systems allows their successful implementation and operation, however, most of the currently available simulation tools do not provide consistent methods to represent the dynamic behaviour of such systems which is essential for their precise design, control, performance optimisation and economic study. Previous research lacks global methodologies for a whole-system scope simulation. Moreover, experimental validation is missing in most of these models and no guidelines are given for parameter estimation, which are essential for replicability. This paper presents a comprehensive methodology for the modelling, simulation and performance evaluation of wind-hydrogen systems, while including experimental validation and guidelines for parameters estimation. The developed model encompasses usability, adaptability, dominant dynamics accuracy and reliability that makes it able to assess different systems prior and after their installation. The proposed model has succeeded to depict the HO dynamic behaviour accurately with an error of less than 2% in average. The model has also been successfully utilised to evaluate the HO system performance. Evaluation criteria includes: average energy production, stand-alone operation and round-trip efficiency among others. Quantitative analysis has showed how this methodology can contribute to improve the design and performance of such systems.

Original languageEnglish
Pages (from-to)1313-1332
Number of pages20
JournalRenewable and Sustainable Energy Reviews
Volume53
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • Dynamic modelling
  • Experimental validation
  • Fuel cells
  • Renewable energy grid integration
  • Simulation
  • Wind-hydrogen

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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