AI-VPP
Virtual power plant optimisation, industrial load flexibility, demand response, predictive dispatch and grid services.
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The clean industrial energy stack.
Six integrated technology layers, orchestrated as one operating system for heavy industry.
In one paragraph
What is the GGSN technology stack?
Six clean-industrial technology layers — AI-VPP, BESS, low-carbon hydrogen, digital twins, grid flexibility and carbon intelligence — running on one data model. Together they let heavy industry lower energy cost, unlock grid revenues, meet CBAM MRV obligations and finance decarbonisation with a single set of assumptions.
BESS
Peak shaving, grid revenue stacking, industrial resilience and clean power integration.
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Low-carbon hydrogen production, industrial heat, green steel pathways, LCHA / CfD relevance and electrolyser integration.
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Industrial energy simulation, emissions modelling, project-finance assumptions, asset performance and scenario planning.
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Ancillary services, capacity market, flexibility revenues, network innovation and Ofgem SIF relevance.
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Embedded emissions, CBAM readiness, supply-chain traceability, product-level data and carbon cost modelling.
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Technology — frequently asked questions
- What is an AI-VPP (AI virtual power plant)?
- An AI virtual power plant aggregates and optimises distributed industrial loads, on-site generation and battery storage as a single grid-facing asset. GGSN's AI-VPP layer runs predictive dispatch, demand response and ancillary-service bidding to lower energy cost and unlock flexibility revenues.
- How does BESS create value for heavy industry?
- Battery energy storage systems stack multiple revenue streams — peak shaving, grid ancillary services, capacity market payments and integration of on-site renewables — while providing industrial resilience against price spikes and interruptions.
- Why is low-carbon hydrogen strategic for green steel?
- Hydrogen replaces coking coal in Direct Reduced Iron (DRI) routes, cutting steelmaking emissions by around 90%. GGSN's hydrogen layer aligns production and offtake with the UK Low Carbon Hydrogen Agreement (LCHA), Contracts for Difference and green-steel demand.
- What does a digital twin do in an industrial decarbonisation context?
- A digital twin simulates energy flows, embedded emissions, asset performance and project-finance assumptions before capital is committed, so operators can test CBAM, hydrogen and BESS scenarios against real plant data.
- How does the carbon intelligence layer support CBAM compliance?
- It captures product-level embedded emissions, verifies data against MRV rules and traces supply-chain carbon, so operators can report to CBAM authorities and defend the carbon content of exports to the EU.
- Do these technologies work independently or as one stack?
- They are engineered to run as one orchestrated stack. AI-VPP, BESS, hydrogen, grid flexibility, digital twins and carbon intelligence share the same data model, so a change in one layer updates emissions, revenues and capital cases everywhere.