Does storage of electricity or hydrogen reduce methanol production cost?
Time-variable electricity cost or availability thus motivates flexible operation. However, it is unclear if each unit of the process should be operated flexibly, and if storage of electricity or hydrogen reduces the methanol production cost. To answer these questions, we modeled a Power-to-Methanol plant with batteries and hydrogen storage.
How much does methanol cost to store?
Its storage cost is therefore negligible. As its storage is straightforward, the methanol can be stored for long term, without losses, and it can be used as a pure fuel in engines and other combustion processes. 4.5.
Can storage technologies reduce the production cost of methanol?
Storage technologies, e.g., batteries and tanks for intermediates, in support of Power-to-Methanol plants could therefore contribute to reducing the production cost of methanol.
Does methanol production cost flexibly?
The major energy input and cost driver for such a process is the electricity for hydrogen production. Time-variable electricity cost or availability thus motivates flexible operation. However, it is unclear if each unit of the process should be operated flexibly, and if storage of electricity or hydrogen reduces the methanol production cost.
How is methanol synthesis cost estimated?
The CAPEX of the main equipment units of the methanol synthesis plant (Fig. A.3), i.e., compressors, reactor, heat exchangers, flashes, and distillation column, was estimated by using the cost models proposed by Biegler et al. . The cost of the membrane was estimated according to Ramírez-Santos et al.’s model .
Should methanol synthesis units be operated flexibly?
Therefore, it is not clear whether batteries and hydrogen storage are always beneficial from an economic perspective, especially in grid-connected plants, and if and to what extent the methanol synthesis unit should be operated flexibly even in their presence.
To answer these questions, we modeled a Power-to-Methanol plant with batteries and hydrogen storage. Using this model, we solved a combined design and scheduling optimization problem, which provides the optimal size of the units of the plant and their optimal (quasi-stationary) operation.
To answer these questions, we modeled a Power-to-Methanol plant with batteries and hydrogen storage. Using this model, we solved a combined design and scheduling optimization problem, which provides the optimal size of the units of the plant and their optimal (quasi-stationary) operation.
For larger amounts of energy (up to 100 TWh) and longer-term storage (weeks), electricity can be stored through the production of fuels, by the power-to-X technique, where “X” represents gas (Power-to-Gas, PtG) or liquid (Power-to-L, PtL), commonly called Power-to-Fuel (PtF); or chemicals for the
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