Smarter Together: How Demand Flexibility and Battery Storage Complement Each Other
Smart demand shifting and battery storage aren't rivals β they're partners working toward the same goal: a stable, affordable, low-carbon grid. Sometimes smart switches can reduce the need for batteries. Often both are needed. Here's how they work together.
Two Tools, One Shared Goal
Every electricity grid faces the same daily challenge: demand spikes in the morning when people wake up and in the evening when they return home. At peak moments, the grid must produce β or import β electricity that may cost 5β10Γ the overnight price. Grid operators and households alike can help solve this in two complementary ways.
The first is supply-side: battery storage farms that charge overnight and discharge during peaks. The second is demand-side: moving consumption itself to off-peak hours so the peak is smaller. This article looks at both β their real costs, efficiency, and COβ impact β and shows how they work together toward a cleaner, more stable grid.
The key insight
A water heater, an EV charger, and an electric radiator don't care what time they run β as long as they finish by morning. Shifting their runtime to cheap hours handles daily peak shaving at a fraction of the cost of a battery. But batteries provide instant discharge for any load, at any time. Both technologies are needed, and the best grids use both.
Working toward the same target
Grid-scale batteries and smart demand shifting share the same mission: reduce peak stress, lower costs, and enable more renewable energy. They excel in different areas. Batteries handle fast-response services and industrial needs. Smart home devices handle the predictable daily peaks at near-zero cost. Together, they're far more effective than either alone β and widespread smart home adoption reduces how much battery storage the grid needs to build.
Grid-Scale Battery Investment in the Region
Since the Baltic states synchronized to Continental Europe in February 2025, grid-scale battery storage has become a strategic priority. Here is the current state of BESS deployment across the four countries that Elewatt serves.
Estonia
Latvia
Lithuania
Finland
Total
| Country | Operational | Pipeline | Reference cost (installed) |
|---|---|---|---|
| Estonia | ~227 MW / ~453 MWh | +100 MW (Hertz 2, end 2026) | β¬370β428/kWh |
| Latvia | ~90 MW / ~180 MWh | Additional projects in planning | ~β¬150β200/kWh est. |
| Lithuania | ~500 MW | 800 MWh tender launched 2025 | β¬200β350/kWh est. |
| Finland | >1,000 MW | ~300 MW within 2 years | β¬180β250/kWh est. |
| Total | ~1,817 MW | ~1,200 MW+ in planning | β |
Sources: ess-news, energy-storage.news, Fingrid, Elering, EBRD. Costs are all-in project costs including grid connection.
What Does It Cost to Move 20 MW?
The 10,000 homes in the Elewatt example can collectively shift approximately 20 MW of load β comparable to one medium-sized industrial customer, and about 1.25% of Estonia's peak demand. How much would it cost to achieve the same 20 MW of peak relief through battery storage?
A standard 4-hour battery system at 20 MW needs 80 MWh of storage. Using actual costs from Baltic projects and European averages, the capital cost is consistently in the tens of millions.
BESS: 20 MW / 80 MWh
β¬14β28M
Capital cost (β¬180β350/kWh installed)
Smart relay DR: 20 MW
~β¬250K
10,000 Γ Shelly Plug S Gen3 at β¬25 each
Cost ratio
36β72Γ
More expensive to build equivalent BESS capacity
This is not perfectly like-for-like: a battery can discharge at any time for any duration, while demand response requires time-flexible loads. For frequency regulation, industrial backup, or 24/7 dispatchability, batteries remain essential. But for peak shaving β reducing consumption during predictable morning and evening peaks β smart demand shifting is functionally equivalent and dramatically cheaper. In practice, the strongest grids use both: batteries for fast-response services, smart devices for the daily peaks. Widespread smart home adoption can significantly reduce how much grid-scale battery storage needs to be built.
The Hidden Efficiency Tax
Every time energy flows through a battery, some is lost to heat in the cells, inverters, and cooling systems. Modern lithium-ion battery storage achieves 88β92% AC round-trip efficiency. That means for every 100 kWh charged overnight, only 88β92 kWh is available to discharge at peak. The 8β12 kWh gap is wasted.
Demand shifting has no such loss. A water heater that runs at 2am instead of 7am uses exactly the same energy β heating the same water to the same temperature. The only "loss" is a small amount of additional standby heat from the tank over those extra hours: typically 1β3% for a well-insulated boiler.
88β92% efficient
Wastes 8β12% of energy
~99% efficient
Wastes ~1% (tank standby heat)
At scale, this matters. A 20 MW battery farm cycling daily at 90% RTE wastes 8 MWh per cycle. At Estonia's average grid carbon intensity (417 gCOβ/kWh in 2024), that is an additional 3.3 tonnes of COβ per day β just from charging losses.
COβ Impact: When Shifting Consumption Actually Helps
Demand shifting does not reduce total energy consumption β it reschedules it. Whether that saves COβ depends entirely on what type of generator is running during peak versus off-peak hours.
In Estonia, the answer is clear: winter morning peaks are often served by oil shale or gas plants, while nights increasingly run on wind. Peak COβ intensity can reach 600β900 gCOβ/kWh versus 50β150 gCOβ/kWh at night. Shifting 80 MWh from a high-carbon peak to a low-carbon off-peak saves roughly 36 tonnes of COβ per event β about 7,200 tonnes per year at 200 events.
Estonia
Latvia
Lithuania
Finland
| Country | Annual avg (2024) | Peak marginal est. | COβ benefit of shifting |
|---|---|---|---|
| Estonia | 417 gCOβ/kWh | 600β900 gCOβ/kWh | High β oil shale / gas peak |
| Latvia | 170 gCOβ/kWh | 300β450 gCOβ/kWh | Moderate β imports at peak |
| Lithuania | 139 gCOβ/kWh | 350β500 gCOβ/kWh | Moderate β Polish coal imports |
| Finland | 83 gCOβ/kWh | 350β450 gCOβ/kWh | Moderate β gas at peak |
In hydro-dominated grids like Norway or Sweden, demand shifting has little COβ benefit because off-peak generation is also near-zero carbon. The Baltics and Finland are different β peak periods pull fossil-fuel generation, making demand shifting meaningfully greener.
The Gigacorn Challenge: 1 Gigatonne COβ/yr
One gigatonne of COβ saved per year is what climate tech investors call 'gigacorn' territory β the threshold where a solution starts bending global emissions curves. In direct terms: demand shifting saves 200β600 g COβ per kWh moved from peak to off-peak hours. Estonia's oil-shale peakers sit at the upper end of that range; Finland's cleaner mix at the lower.
To save 1 GT directly through demand shifting alone requires 2,000β5,000 TWh shifted annually β 7β17% of all global electricity. Our Baltic + Finland region could contribute up to 3 million tonnes per year at full participation. But the bigger lever is indirect: flattening demand peaks removes the economic justification for new fossil peakers, enabling deeper renewable penetration. Each additional 1% of global renewable electricity eliminates roughly 150β250 Mt COβ per year β meaning demand flexibility that unlocks 5β7% more global renewables is a credible path to 1 GT of indirect annual savings.
Direct shift required for 1 GT
2,000β5,000 TWh
per year globally (7β17% of all electricity)
Baltic + Finland potential
~3 Mt COβ/yr
at full smart-home participation
Indirect path to 1 GT
+5β7% renewables
enabled by demand flexibility β ~1 GT/yr indirect savings
Elewatt's Path to 1 GT: A Scaling Roadmap
Baltic Launch
Regional (Baltics + FI)
Northern Europe
Pan-European
Global (direct only)
Global + grid enabling
| Milestone | Smart homes | EVs connected | Direct COβ/yr |
|---|---|---|---|
| Baltic Launch | 50,000 | β | ~14 kt |
| Regional (Baltics + FI) | 500,000 | 20,000 | ~175 kt |
| Northern Europe | 5M | 500K | ~2.2 Mt |
| Pan-European | 50M | 5M | ~22 Mt |
| Global (direct only) | 200M | 30M | ~107 Mt |
| Global + grid enabling | 200M | 30M | β₯1 GT |
Assumptions: 3 kWh/day shifted per household Γ 250 g COβ/kWh saved; 12 kWh/day per EV Γ 400 g COβ/kWh saved.
The multiplier: enabling renewables
At scale, demand flexibility changes what the grid can economically support. Flat demand curves remove the financial case for new gas peakers, allow deeper solar and wind integration, and reduce renewable curtailment. The IEA estimates global demand flexibility could reduce power sector emissions by over 1 GT per year through this enabling effect alone β before counting the direct household savings above. Elewatt's platform, aggregating millions of devices into a virtual power plant, is exactly the infrastructure this shift requires.
Scaling Up: Four Countries, One Shared Grid
How a β¬25 Smart Plug Can Do What β¬3 Billion in Batteries Cannot Fully Replace
Where do the 10,000 homes and 20 MW come from? Estonia alone has 230,000+ households without district heating that rely on electric water heaters and radiators. If just 10,000 of them connect a Shelly device to Elewatt and set a simple overnight filter, that already aggregates 20 MW of controllable load β equivalent to one medium industrial customer and 1.25% of Estonia's peak demand. Scale that across all four countries and the numbers become remarkable.
Each country in the Elewatt network has a large pool of households with shiftable electrical loads β water heaters, EV chargers, electric radiators β that currently run whenever is convenient, not when electricity is cheapest. The table below shows what full penetration would look like.
Estonia
Finland
Latvia
Lithuania
Total
| Country | Addressable households | Shiftable load | Annual savings | % of national peak |
|---|---|---|---|---|
| Estonia | 230,000 | 460 MW | ~β¬46M/yr | 29% of 1,595 MW |
| Finland | 600,000 | 1,200 MW | ~β¬120M/yr | 8% of 14,804 MW |
| Latvia | 200,000 | 400 MW | ~β¬40M/yr | 31% of ~1,300 MW |
| Lithuania | 240,000 | 480 MW | ~β¬48M/yr | 20% of 2,375 MW |
| Total | 1,270,000 | ~2,540 MW | ~β¬254M/yr | β |
Assumes 2 kW average shiftable load per household (water heater or radiator at ~2 kW, EV trickle charger at 2.3 kW). Finland estimate based on ~900K electrically heated homes at ~65% penetration. Latvia/Lithuania based on ~25% of households without district heating. Savings at ~β¬200/household/year. Peak demand sources: Elering, Fingrid, Litgrid.
Addressable households
1.27M
Four countries, without district heating
Demand response potential
~2,540 MW
1.27M homes Γ 2 kW average shiftable load
Annual money savings
~β¬254M/yr
At ~β¬200 per household per year (conservative)
2,540 MW of flexible residential load exceeds the combined installed BESS capacity of Estonia and Latvia today (~317 MW combined) β and approaches the total battery storage installed across all four countries (~1,817 MW). This demand response potential is achieved without a single battery, without construction permits, and without the 18β36 months every large storage project requires.
For perspective: replacing 2,540 MW of demand response with equivalent battery storage at 4-hour duration (10,160 MWh) would cost approximately β¬2.5β3 billion in capital investment. The device hardware for 1.27 million households β one Shelly Plug S Gen3 each β costs roughly β¬32 million. That is a 100:1 cost difference, before accounting for the battery's 10% energy losses and the COβ emitted charging them.
The grids of Estonia, Latvia, Lithuania, and Finland are interconnected. Nord Pool prices are shared across borders. A cold January morning that pushes Estonian spot prices to β¬500/MWh also drives up prices in Finland and Latvia. Coordinated demand response across borders is a multiplier β reducing price spikes for everyone simultaneously.
How Elewatt Enables This
Elewatt is the aggregation layer that turns individual Shelly devices into coordinated demand response. Set a filter once β "run my water heater for 3 hours between 23:00 and 07:00" β and Elewatt identifies the cheapest window using real all-in prices including network fees, state taxes, and VAT.
- 1Connect your Shelly device to Elewatt (takes about 5 minutes)
- 2Set a duration filter β specify how many hours you need and the allowed time window
- 3Elewatt downloads the next day's optimal schedule to your device each afternoon
- 4Your device runs autonomously at the cheapest hours β no cloud connection needed overnight
Start shifting your consumption today
Join the households already saving β¬150β300 per year by moving their electricity use to the cheapest hours. Free to use.
Data sources: Elering, Fingrid, ess-news.com, energy-storage.news, EBRD, Ember Climate, Nowtricity.com, IEA, Eurostat, JRC. COβ intensities are 2024 annual averages. Battery costs reflect actual announced project costs. Demand response potential estimates based on JRC EU Member States study.
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