NGKās shutdown of its NAS sodiumāsulfur batteries is a wakeāup call for longāduration storage. Hereās what it means for lithium rivals, LDES economics and AIādriven green tech.

Most companies planning large-scale energy storage in 2026 still build models assuming lithium-ion is the only serious option on the table. Yet sodiumāsulfur (NAS) batteries quietly racked up more than 5GWh of deployments and became the worldās secondāmostāused grid battery technology. Now NGK Insulators, the pioneer behind NAS, has decided to shut the product line down.
That decision, triggered after partner BASF exited the joint business, is more than a corporate reshuffle. Itās a warning light for anyone betting on alternative chemistries, and a reality check for how we finance longāduration energy storage in the broader green technology ecosystem.
This matters because grid storage is the backbone of clean energy: without reliable, affordable storage, solar and wind stall out, and decarbonisation targets slip further away. The NAS story shows where the risks really sit ā and how smart use of AI, better project design and sharper commercial discipline can keep green technology projects bankable.
NGKās NAS batteries: a quiet giant steps off the stage
NGK Insulatorsā decision is clear: the company has stopped manufacturing and selling sodiumāsulfur NAS batteries and will no longer accept new orders. For a technology first deployed on the grid in 2003, thatās the end of a 20āplusāyear run.
Hereās why thatās a big deal:
- NAS is the longestāserving gridāconnected battery technology in commercial operation.
- More than 5GWh of NAS systems were deployed worldwide, mainly for utility and industrial storage.
- By deployed capacity, NAS was second only to lithiumāion for gridāscale batteries.
- For medium- to longāduration energy storage (LDES), NAS was the most deployed electrochemical option after pumped hydro.
NGKās NAS systems carved out a niche: 4ā8 hour duration, highātemperature operation, long calendar life, and the ability to sit in harsh environments where lithium-ion needed more protection or more complex fireāsafety engineering.
So why shut down now? The company hasnāt given a blowābyāblow public postāmortem, but one factor stands out: BASFās exit from the partnership removed both a commercial channel and a source of strategic support, forcing NGK to reassess the growth potential versus risk.
And hereās the uncomfortable truth: if a mature, fieldāproven green technology with 5GWh deployed still canāt sustain a profitable growth path, the bar for newer āalternativeā batteries is even higher.
What this tells us about the economics of longāduration storage
The NAS story underlines a point a lot of investors quietly agree on: technical success doesnāt guarantee commercial viability for longāduration energy storage.
Why longāduration is hard to finance
LDES ā systems that store energy for 4ā24+ hours ā is essential for highārenewables grids. But it runs into brutal economic headwinds:
-
Value is complex to price
Longāduration storage earns money from multiple value streams:- Arbitrage (charge when power is cheap, discharge when expensive)
- Capacity and resource adequacy payments
- Grid services (frequency support, voltage control)
- Congestion management and curtailment reduction
Most markets still donāt pay accurately for that stack, especially beyond 4 hours.
-
Capex is high and payback is slow
NAS and similar technologies often cost more per kWh upfront than mainstream lithium-ion. Whether they win depends on:- Longer life (more cycles)
- Higher usable energy (deeper discharge)
- Lower O&M If regulators and offtakers donāt lock in contracts that reflect those advantages, the financial model breaks.
-
Policy and market rules lag technology
Many power markets are built around thermal plants, not flexible storage. When rules donāt allow storage to fully participate ā or treat it like a generator one minute and a consumer the next ā projects struggle to capture their full value.
From what Iāve seen, most LDES failures arenāt really about chemistry. Theyāre about misaligned revenue models, fragmented incentives, and underāmodelled risk.
NGKās NAS exit reinforces that: even a proven technology with two decades of field data canāt thrive if the market doesnāt pay fairly for what longāduration storage delivers.
Lithium-ion vs alternatives: does NASās exit mean āwinner takes allā?
The short answer: no ā but the bar just moved higher for nonālithium technologies.
Lithiumāion dominates grid storage for good reasons:
- A massive supply chain built by the EV industry
- Falling costs per kWh and per kW
- Wellāunderstood performance and degradation patterns
- Bankability: lenders know how to price the risks
NAS, by contrast, offered:
- Higher operating temperature tolerance and no need for complex HVAC in some climates
- Long cycle life and good performance for 6ā8 hour storage windows
- Better fit for some industrial and remote applications
But when BASF pulled back, NGK was left with a technology that was:
- Competing against everācheaper lithiumāion
- Operating in markets that still rarely pay a premium for longer duration
- Carrying the manufacturing and R&D burden essentially alone
For other alternative chemistries ā sodiumāion, flow batteries, zincābased systems, thermal and mechanical storage ā the message is blunt:
A āgreenā or āsaferā technology isnāt enough. You need a clear economic edge in a specific use case, and you need to prove it with hard data.
From a green technology strategy standpoint, that means:
- Donāt chase generic āgrid storageā with a new chemistry. Own a narrow segment: e.g., 8ā12 hour storage for weak grids, or ultraāhigh cycling for industrial customers.
- Design standardised products and contracts that investors can understand and repeat.
- Use AIādriven modelling to show, with evidence, where your technology wins over 10ā20 years of operation.
Where AI fits: making green storage bankable, not just possible
Hereās the thing about AI in green technology: itās rarely about inventing the physics. Itās about making complex systems financeable, dispatchable, and optimised in real time.
The NAS chapter closing doesnāt mean longāduration storage has failed. It means the industry has to get sharper at proving value. AI is one of the most useful tools for that.
1. Smarter project design and siting
AI models can analyse years of:
- Historical load and price data
- Renewable generation shapes
- Network constraints
ā¦and then recommend optimal storage duration, sizing and siting. Instead of āwe think 8 hours might be useful,ā you can say:
- āAt this substation, a 6āhour system increases renewable utilisation by 18% and reduces curtailment by 40%.ā
- āUnder current tariffs and ancillaries, IRR improves from 8% to 13% if we extend duration from 4 to 6 hours.ā
That level of specificity is what turns an interesting technology into a bankable green infrastructure asset.
2. Predictive performance and degradation modelling
Degradation was one of the concerns often raised about highātemperature systems like NAS, and itās a critical point for any storage asset.
AI can:
- Predict capacity fade and efficiency loss for different operating strategies
- Optimise charge/discharge profiles to extend useful life
- Flag earlyāstage anomalies that indicate safety or performance issues
For alternative chemistries trying to gain trust, being able to show transparent, AIābacked performance projections over 10ā20 years dramatically reduces perceived risk.
3. Monetising the full value stack in real time
Storage value is dynamic: prices change by the minute, policies update annually, and system needs evolve as more renewables connect.
AIādriven dispatch systems can:
- Arbitrage dayāahead and realātime markets
- Prioritise the most lucrative combination of grid services each hour
- Adapt to new market products (for example, new flexibility or resource adequacy contracts)
For businesses deploying green technology, thatās crucial. The chemistry is the foundation, but software turns it into cash flow.
Practical guidance for developers, utilities and investors
If youāre planning or funding storage projects in 2026ā2027, NGKās NAS decision should change your filter, not your ambition.
For project developers
Focus on three disciplines:
- Chemistryāuseācase fit: Donāt default to lithium-ion or any alternative without mapping:
- Required duration and cycling
- Ambient conditions and safety constraints
- Local market products and tariffs
- Bankability from day one: Bring lenders and insurers into the conversation early. Their concerns around technology risk, warranty robustness and revenue certainty should shape your design.
- Dataāfirst pitching: Use AIāsupported modelling to show how your design performs across scenarios ā price shocks, policy changes, extreme weather.
For utilities and grid operators
- Treat storage as infrastructure, not a gadget. Lock in longāterm contracts that properly value flexibility and longāduration capability.
- Run system planning scenarios that compare:
- 4āhour lithiumāion vs 8āhour alternatives
- Storage vs new transmission vs flexible demand
- Use AI tools to surface the cheapest path to reliability and decarbonisation, not just the cheapest capex.
For investors and corporate buyers
- Be wary of chemistries that only sell a story. Look for:
- Multiāyear field data
- Clear costāperādeliveredāMWh logic, not just costāperāinstalledākWh
- Transparent warranty and service structures
- Back teams that understand both electrochemistry and energy markets. One without the other is how you end up with technically sound, commercially stranded assets.
What NGKās decision means for the future of green technology
NGK pulling the plug on NAS doesnāt mean longāduration storage has failed. It means the market has passed judgment on one particular mix of chemistry, cost structure and commercial strategy.
For the broader green technology space, three things are clear:
- Green isnāt enough ā technologies have to win on total lifetime value, not just sustainability credentials.
- AI is now a core part of storage competitiveness ā in designing, operating and financing projects.
- Diversification still matters ā relying purely on one battery chemistry is risky for grids aiming for deep decarbonisation.
If your organisation is planning storage, the better question isnāt āIs lithiumāion the winner?ā but āWhere does each technology ā backed by smart software ā deliver the best economics and resilience?ā
The companies that get this right wonāt be the ones chasing every new chemistry. Theyāll be the ones that treat grid storage as a system problem, use AI ruthlessly to quantify value, and pick technologies that fit specific, highāvalue roles in a decarbonised energy mix.
Thatās where green technology stops being a cost centre and starts behaving like a growth engine.