Abstract
Global warming and continuous fossil fuel
depletion are worldwide phenomena that pose challenges such as
the reduction of greenhouse gas emissions and the further
exploitation of renewable energy sources. Nevertheless, the
transition from fossil fuels to a renewable-energy-based economy
demands more innovative solutions and developments such as the
Power-to-Gas-to-Power (PtoGtoP) idea. Hydrogen is considered
one of the clean energy carriers in the concept of PtoGtoP.
However, this strategy still suffers from several challenges, like
intermittent inflows of energy, high costs, and rather low energy
efficiency due to the losses during conversion and storage. The
goal of the Digi-HyPro (Digitalized Hydrogen Process Chain for
the Energy Transition) project is to develop an efficient and
modular PtoGtoP system. The concept of this modular system,
called Smart-Energy-Transform-Unit (SET-Unit), aims to design
a decentralized and scalable system for clean energy demands
spreading across different locations. The SET-Unit serves to
optimize the connections between renewable sources and the
current power and gas grid demand. Applying this concept,
hydrogen generated by an electrolyzer can be stored compactly
and safely in a metal hydride storage system or fed into the
natural gas grid. On-demand, hydrogen can also be taken from
the intermediate storage facility or the gas grid by applying gas
separation techniques and can be delivered (i) to an integrated
fuel cell to produce power or (ii) to a metal hydride compressor
to provide hydrogen for the mobility sector (trucks, cars, trains,
etc.). Component and system level simulations are performed to
design, develop and optimize the individual and overall
integrated system. These digital models draw critical data from
experiments and are validated using prototype setups. For this
purpose, experimental setups on a laboratory scale of 10 kWel,
and an intermediate scale of 50 kWel are part of the Digi-HyPro
project’s plan. This multidisciplinary investigation involves the
optimization of the digital SET-Unit system with experimental
demonstrations in kWel ranges. Final scalability studies in the
industrially relevant MWel range can pave the way to an
efficiently networked green energy system.