Citi in its latest “Disrutive Innovations” series, a section previewing on Big Data and the energy industry projects that the combination of near zero-variable cost energy sources such as solar and wind, along with smart analytics and “big data”, may deliver what the nuclear industry promised nearly half a century ago – free energy.
When those claims were made about nuclear fusion, the technology was in the embryonic stage, and it turned out nuclear energy wasn’t free at all, but incredibly expensive, and getting more so by the year.
“The notion of free energy came to prominence in the 1960s, as nuclear fusion was touted as a way to provide free energy,” Citi writes in its report.
But wind and solar, along with demand and storage optimisation, may finally deliver on that promise, Citi says.
“Big Data and advanced analytics are developing rapidly to improve forecasting, automation, customisation, and the democratisation of energy,” says the report.
But Australia is already well down the path to this transformation, given its high level of rooftop solar and the fact that it is considered to be the world-leading market for household battery storage, and smart software.
Already, it has more than 1.5 million households and businesses with rooftop solar, totalling more than 5GW, and many will soon add battery storage. Smart software will allow households and businesses to pool their resources, and trade with each other – if regulators allow.
Citi says this “democratisation” of energy could see renewables and distributed energy resources (DERs) proliferate at the local level, and that will mean fewer new power plants.
Consumers could eventually “trade” energy with others, in the form of “transactive energy” – a concept that is already being trialled by utilities and community energy groups in Australia.
This, of course, has profound implications for current energy industry business models. Instead of investing in large fixed assets, as they have done for the best part of a century, Citi suggests the utilities of the future will become distribution service platform providers.
Citi says New York’s remarkable REV (Reforming the Energy Vision) program is one of the most ambitious regulations put forth by a regulatory agency in changing the business models of utilities. The focus is entirely on distributed energy, creating the right regulations and rules for the appropriate platform and operations, as well as system integration and operation.
“The end result is that we are producing more energy with fewer resources ….. the goal of dramatically lowering energy costs for all, with the possibility of free energy in some corners, may finally come to fruition.”
South Australia is now the focus of that debate, and the push-back against wind and solar by conservatives and, of course, vested interests, seeking to protect their sunk assets is striking.
In the distributed, decentralised world, particularly in the electricity space where the supply and demand of electricity has to match instantly, ensuring a smooth and optimal operation of the grid necessarily requires advanced analytics to process the vast amount of data generated.
“Technology companies could provide energy network optimising software or even operate platforms and energy companies that transition to providing services could become asset-light, as they could control how energy is routed and optimised,” Citi suggests.
“Third-parties or homeowners would become energy providers through Distributed Energy and auto companies would become service and energy providers (e.g. through their battery technology).”
Citi says the fundamental technologies of solar panels, wind turbines, converters, and energy storage have been around for years, but having nearly half or more of total electricity supplied by wind or solar was previously thought to be impossible due to grid integration issues.
But Big Data and advanced analytics are helping the electric grid to function more seamlessly, enabling wind and solar utilization and penetration rates to rise more sharply, and integrating more distributed generation.
A lot of this comes down to predictive software. “Having more precise estimates of renewable generation allows the grid to schedule in the appropriate amount of backup generation and deploy other measures, such as demand-side management.”
One example is the creation of “virtual power plants”, which pool the output and resources of numerous solar and storage arrays that could be located in households, businesses, or CBD buildings or factories.
The software can bring these devices together and operate them as if they were a single power plant. Citi says these are critical because they negate the traditional response to rising demand in an area by building a new centralised power plant or adding new infrastructure.
“This is a story of how software will transform a hardware-dominated sector; it is the kind of creative destruction that demands fundamental changes in an entire sector.”