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To meet the United Nations and Paris Agreement targets of limiting global temperature rise to below 1.5 °C, transitioning to a net zero global economy is imperative. In this context, renewable electricity and hydrogen play vital roles and are expected to account for nearly three quarters of the world’s final energy consumption by 2050. At the same time, rapidly growing electricity demand from energy intensive consumers such as data centers increases the need for reliable renewable power supply solutions.

Green hydrogen, also known as renewable hydrogen, is produced through water electrolysis using renewable electricity sources such as solar photovoltaic and wind power. It is a crucial component of the energy transition, offering an effective pathway for decarbonizing sectors that are difficult or infeasible to electrify directly. In addition, green hydrogen provides flexibility to renewable electricity generation systems by enabling energy storage, sector coupling, and balancing of variable power production.

The dynamic operation of electrolyzer plants is constrained by multiple factors, including temperature, pressure, impurities, stray currents, stack design, start up and shutdown procedures, and electrolyzer technology. These challenges are further compounded by the intermittency of renewable electricity generation, variable hydrogen demand, fluctuating electricity prices, and reliability requirements associated with continuous loads such as data centers. Together, these factors make the control, sizing, and integration of plant components a complex task.

The optimal installed capacity of each plant component and the operational control strategy are strongly interdependent. Consequently, achieving cost‑optimal plant design and minimizing both electricity generation and hydrogen production costs require the simultaneous optimization of system dimensioning and control.
 
XOptimal implements advanced computational methods that enable detailed techno‑economic analysis, support the provision of baseload renewable electricity supply to data centers, facilitate the balancing of renewable electricity production, and enable risk analysis related to system performance, market uncertainty, and investment decisions.
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Goals

  • Develop proof-of-concept for a cloud‑based software platform enabling integrated optimization, control, and dimensioning of sector‑coupled energy systems, including renewable electricity generation, green hydrogen production, energy storage, and flexible electricity consumers.
    • Analyze the technical feasibility for the commercialization of the software.
    • Study the modularity, flexibility and scalability to implement software functionalities for any customer needs.  
    • Validate and demonstrate capabilities of the software.
  • Study the future commercialization paths of the software tool (proof-of-relevance).  
    • Analyze different business models.
    • Contact potential customers and business partners.
    • Identify new customer requirements and needs to implement into the software.
An Introduction to H2Optimal: XOptimal applied to hydrogen plants
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Power to X

Renewable electricity generation and storage

Our research focuses on renewable electricity generation and storage as well as efficient use and smart control of electrical energy.