A new analysis commissioned by Danfoss reveals that an ambitious but realistic roll out of demand-side flexibility technology in the EU and UK can save 40 million tons of CO2 emissions each year by 2030, more than Denmark’s domestic climate footprint. In the U.S., demand-side flexibility, combined with optimized efficiency and the adoption of electric power sources, could save over $100 billion in energy costs and lower carbon emissions from buildings by over 90 percent by 2050.
Rolling out demand-side flexibility technologies can make the grid more resilient and create substantial economic benefits for societies and households. Managing our energy more effectively and lowering demand in peak periods can reduce the risk of potential outages by lowering the strain on the grid. Consumers will see savings on their utility bills, as the cost of electricity is lower during non-peak periods.
Kim Fausing, President and CEO, Danfoss says: “We are leaving the fossil fuel era, but we haven’t prepared our energy system for the future because we are neglecting energy efficiency as one of the main tools to lower emissions. The grid is not ready to use all the renewable energy we are making rapid progress to produce. We must take steps to utilize energy efficiency solutions – such as demand-side flexibility technologies – that not only help us to use less energy, but to use the right energy at the right time. We have the solutions, but we need action.
Demand-side flexibility refers to the levelling out of energy consumption to prevent periods of simultaneous high demand and low supply, which is especially important for an energy system based on renewables. The deployment of demand-side flexibility technologies can lower demand during expensive peak hours and reduce the amount of fossil fuels in the energy mix.
In buildings, for example, AI-driven technologies can save up to 20 percent in a building’s energy costs by combining building, weather, and user data to predict heating and ventilation demand. Observations on 100,000 flats equipped with this technology, based mainly in Finland, show that the maximum power usage was reduced by 10-30 percent. Meanwhile, load-shifting can also be automated to cool supermarket freezers down to a much lower temperature than required outside the peak demand hours with the freezers effectively operating like a battery storing energy. This ‘supercooling’ technique means refrigerators can be switched off during the peak hours of energy demand, both lowering stress on the grid and saving money for the supermarket.
Renewables need to make up 70 percent of the energy mix by 2050 if the goals of the Paris Agreement are to be reached. However, the energy system is not yet prepared to manage the natural peaks and troughs of renewable energy supply.
The new whitepaper from Danfoss, “Energy Efficiency 2.0: Engineering the Future Energy System”, presents the most cost-efficient way to prepare for the future energy system. It focuses on the deployment of a full-scale electrification of society, demand-side flexibility measures, wise use of hydrogen and storage and maximizing the use of excess heat.
Key whitepaper takeaways:
- By transitioning from a fossil energy system to a fully electrified one, it is possible to cut up to 40 percent of final energy consumption. Electrification is itself a form of energy efficiency.
- Through demand-side flexibility, the EU and UK can annually save 40 million tons of CO2 emissions and achieve annual societal cost savings of €10.5 billion by 2030. Similarly, households can save on average 7 percent on their electricity bills. In 2050, households are estimated to save 10 percent on electricity bills and €15.5 billion annual societal costs.
- In the US, optimizing efficiency, demand flexibility, and electrification in buildings can save up to $107 billion in annual power system cost savings alongside a 91 percent reduction in carbon emissions from buildings by 2050.
- In 2030, up to 53 percent of the global energy input will be wasted as excess heat. However, much of this heat can be captured and reused to heat buildings and water through deeper sector integration.
- On a global scale it is theoretically possible by 2050 to recover 1.228 TWh of excess heat from hydrogen produced through electrolysis – this is equivalent to almost two thirds of today’s global heat generation from coal, the largest source of heat.
Kim Fausing adds: “Electrification, demand-side flexibility, conversion, storage, and sector integration must take center stage in a future energy system enabling an energy grid powered by renewables. Seeing is believing, and, often, decision makers simply don’t know that we already have the solutions we need to not only reduce carbon emissions, but also to deliver substantial economic savings both at a societal and customer level. It’s about time for decision makers at all levels to prioritize energy efficiency and set the right regulatory and economic framework to reach net zero by 2050.”
Professor Nick Eyre, Professor of Energy and Climate Policy at University of Oxford & Senior Research Fellow in Energy at the Environmental Change Institute, says: “We need to rethink energy efficiency and place it at the center of the race towards full decarbonization. This means enabling the electrification of end-uses not previously served by electricity. It also means creating a highly flexible energy system to avoid carbon-intensive demand peaks. Historically, energy efficiency has delivered the largest share of greenhouse gas mitigation and reinventing it for the era of renewables will enable us to continue this trend and achieve net zero by 2050.”
Toby Morgan, Senior Manager, Built Environment at Climate Group, says: “As we electrify everything we can and build a flexible grid fit for the future, we cannot forget energy efficiency. The greenest form of energy is saving energy, and efficiency means we need fewer wind farms and fewer battery facilities. AI can help turbocharge progress on energy efficiency, optimizing electricity usage for any given time of day. Yet AI’s role in connecting up climate-smart technologies in one integrated, energy efficient building is where it gets really exciting. AI can optimize the use of rooftop solar when it’s sunny, make decisions on when to draw on the building’s battery storage, or the batteries of EVs plugged into its charging points when it’s not, plus choose an optimum time to sell renewable electricity back to the grid when demand is high.”
