When it comes to deploying these fuels of the future for data centres, there are a lot of factors and variables that have to be considered. The four key ones are:
1. Emissions – targets and regulations
The industry has made significant commitments to reduce and ultimately eliminate emissions, primarily CO2, and this is now regulated via national and transnational laws, such as the EED. But with rising power demand from AI, industry emissions have started to rise sharply. Power demand will continue to rise for the foreseeable future, and this is driving major investment in new energy sources. The question is what priority do operators (and their customers in the case of colocation) place on emissions reduction when the lack of grid capacity means emissions targets are undermining the industry’s capacity to expand? And also how far will regulators hold them to account during this transitional period? Another variable is government-driven. For instance, many politicians oppose high levels of investment in new nuclear infrastructure which will take 10-15 years to complete, potentially replacing greener infrastructure investments in the run-up to 2050. The way this debate plays out in different markets will inevitably have a knock-on effect on new fuels for primary data centre power.
2. Applications – standby or baseload?
Different fuels suit different use cases. If you’re running for a shorter period of time, you can have on-site storage. Liquid fuels like diesel or its renewable substitute HVO (if you have engines that can run on it) are very popular for standby, as they are easy to replenish, dense (take up less space) and liquid fuel combustion engines start up fast. But hydrogen cells also work well here.
Then, if there isn’t a grid connection, you would look at a prime fuel application. Liquid fuel is not ideal for this because of the need for storage and the size of the storage tanks. When things are running constantly, you need a permanent supply that is going to fuel these systems. At the moment, without a grid connection, natural gas is used across every generation technology, whether it’s a fuel cell or a reciprocating engine or a gas turbine. However, those fuels could potentially change, and you need flexibility built into your power delivery technologies in case this happens. Medium-speed engines work well for prime power, where they are going to power long-term base load, and the same is true for turbines.
3. Geography – urban or greenfield?
We don’t know the future anatomy of AI at the moment. Will it be predominantly hyperscale, or will it be more of a mix of hyperscale and smaller, more urban facilities?
This impacts fuel selection a great deal. For example, fuel cells may be most suitable in busier locations, like cities where there are tighter restrictions around emissions, and more limited space. However, cells currently have a limit of 10 to 15 megawatts. Also, their power density is a lot less than reciprocating engines. Each little fuel cell block is 100 kilowatts, so when you start to look at the scale of land that’s needed in a busy city area where land is expensive, once you require 15 or 20 megawatts, you’re putting a more expensive asset in that’s actually taking up more land. This may not be so tempting for operators. There are always going to be special local considerations. For instance, we have a customer currently that needs high speed standby, but because the facility is in a Marine Conservation Area, liquid fuel is not an option due to the risk of spillage. So in those circumstances, gas is the correct choice.
4. Commercial factors – cost and time to market
Commercial volume and cost-efficiency is still a major factor. Gas prices in Europe have fluctuated hugely in recent years for geopolitical reasons. For new fuels, the commercialisation process takes time and requires a solid market to scale effectively. Until hydrogen or fuel cell technology gets truly taken up in a major industry, where it’s mass produced, prices will generally not be driven down. For instance we’ve seen that with battery storage, prices were extremely high, but they have now decreased significantly, partly due to the demand from the automotive industry.
Availability and speed to market are also key. The ethanol production process, for instance, is complex and requires advanced technology, and the infrastructure for distributing and storing cellulosic ethanol is not yet fully developed, which can limit its accessibility.