Data generation of dynamic large-scale green hydrogen production at the Hydrogen Lab Bremerhaven

With the Renewable Energy Directive (RED) the EU is setting targets in the production of renewable transport fuels. RED and the respective national implementations such as the 37. BImSchV in Germany prescribe a greenhouse gas reduction quota of up to 25 % in 2030 [1]. Electric vehicles or alternative fuels can be counted towards the quota by companies that produce fossil fuels and have to fulfil the reduction quota year after year. One part of the alternative fuels is defined as renewable fuels of non-biological origin (RFNBO) that are based on green hydrogen production. The requirements for the production of green hydrogen are clearly described in REDIII, published in 2023. All written options have in common that it´s unavoidable and becomes even more crucial with the additional temporal correlation in 2030 to operate electrolysers dynamically according to profiles of renewable energy generation. The lack of experience in the implementation of the REDIII and in availability of data for dynamic operation of MW electrolysers creates a major risk in financial planning for hydrogen projects that can be recognized in the market nowadays. To minimize these risks, ensure the production of green hydrogen according to REDIII and accelerate the hydrogen market, the use of models validated with reliable data from large-scale tests of electrolysers under dynamic conditions is essential. The Hydrogen Lab Bremerhaven (HLB) is a test infrastructure to test and validate hydrogen systems in a MW range. Within the first months of operation of a 1 MW PEM and a 1.3 MW alkaline electrolyser, data from dynamic and continuous operation of electrolysers have been collected and the testing possibilities enable research along the entire green hydrogen supply chain.