Battery Asset Management Agenda

Merging the SOC accuracy and stranded capacity conversation: how inaccurate battery data flows from monitoring through to trading performance.

• SOC can be off by up to 15%, where does that inaccuracy originate, and who is responsible for fixing it?
• What does 'useful' imbalance data look like from an asset manager's perspective versus an OEM's?
• How much capacity is routinely left stranded by OEM-mandated buffers, and how is that number changing as analytics improve?
• What level of SOC precision and failure prediction would meaningfully change how trading desks size their positions?
• How do degradation and cell imbalance interact over the asset lifecycle and when does a technical monitoring problem become a revenue problem?
• Can third-party analytics close the gap, or does unlocking stranded capacity ultimately require working directly with the OEM?
• Should SOC accuracy be a contractual obligation, and if so, who holds the risk?

Getting an asset to COD is one challenge. Making sure the team running it has everything they need from day one is another.

• Which assets perform best in year one, and what did their handover look like?
• How do you keep an accurate record of what was designed, what was built, and what's actually running?
• What does a good OEM relationship look like at the point of handover, and what should operations teams make sure they have before the construction team leaves site?
• How do you structure accountability across developer, operator, and OEM when things aren't tracking?

Warranty structures, LTSA obligations, and what asset owners are failing to negotiate before it is too late.

• What is the practical difference between a warranty claim and a plant underperformance claim, and why does that distinction cost asset owners millions?
• How should asset owners structure back-to-back warranties between offtakers, themselves, and OEMs- and what happens when a counterparty fails?
• Round-trip efficiency has no agreed definition, so what should the contractual standard be, and who should bear the measurement risk?
• How big is the gap between lab-tested and field-tested performance, who absorbs the cost when it shows up?
• Regarding data access rights in LTSAs, what clauses are asset owners routinely failing to negotiate?
• When a vendor goes bankrupt mid-contract, what options does an asset owner have, and what should they have secured at procurement?

Inaccurate State of Charge (SOC) data, as communicated by the OEM-provided BMS, is a revenue leak worth over $1M per GWh annually.  Drawing on real customer cases from live BESS projects, this session unpacks how inaccurate SOC and SOC imbalances erode state-of-energy accuracy, what that costs traders, and how you mitigate it.

How operators are structuring revenue across market types, and where the stack is under pressure.

• How do tolling and capacity agreements with utilities differ from private market arrangements, and what are the trade-offs?
• At what point does merchant exposure become unacceptable, and how do operators hedge without giving up the upside?
• How is the revenue picture changing as more BESS capacity comes online and margins compress?
• What role can ancillary services play as a stable floor, and which markets make this easiest to access?

• What is the current status quo in BESS end-of-life management?
• What EOL management steps and cost calculation framework are being proposed?
• What considerations apply to lithium-ion, sodium-ion, and flow batteries specifically?
• How are regulators and insurers beginning to treat battery end-of-life risk, and what disclosure standards are emerging?
• A live demo EverBESS involving the audience (~10 mins), main focus of the presentation and lead-up to questions and feedback

Participate in intimate, small-group discussions focused on topics selected by you and your fellow delegates. With only four roundtable sessions available and a total of 40 places, these highly interactive discussions will be allocated on a first-come, first-served basis to ensure every participant secures their preferred topic.

How purpose-built operators balance battery health against trading revenue, and where the model breaks down.

• How do you decide when to prioritize battery health versus maximizing short-term trading revenue, and who in the organization makes that call?
• What does it mean to absorb merchant risk as an operator, and how is that risk managed on a day-to-day basis?
• What do operators rely on to catch performance degradation before it becomes a revenue event, and what do they routinely miss?
• How do you communicate real-time asset health constraints to trading desks without killing their upside or destroying the commercial relationship?
• Forward curves, analyst consistency, and financing assumptions versus operational reality.
• Why are some revenue forecasts wrong, and what that costs the industry.