Damao Technology Proposes E-AIDC Energy-Driven Intelligent Computing Center New Paradigm at CPE 2026
At CPE 2026, Damao Technology proposed the E-AIDC (energy-driven intelligent computing center) new paradigm, advocating that an energy brain define computing-power-electricity synergy, breaking away from the net electricity value game, and seeking optimization through the integration of four markets: electricity energy, flexibility, capacity, and carbon. Simulation of a project in a western province shows that its energy large model completed calculations for 12,000 scenarios, uncovering a comprehensive value space of more than 3 cents, with investor IRR increasing by about 20% and user delivered electricity prices falling by 10%.
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Being the "bridge builder" between energy and computing power: Damo Technology defines compute-power-electricity synergy with an energy brain | CPE 2026
Friends of QuantumBit 2026-10-27 15:44:41
Source: QuantumBit
Breaking the deadlock in the implementation of green power direct-connection projects
On October 26, the 2026 International Compute-Power-Electricity Synergy Industry Chain Exhibition (CPE 2026) opened at the Shanghai World Expo Exhibition and Convention Center. Damo Technology appeared with its full-stack compute-power-electricity synergy technology product system, presenting in panorama its AI energy large model and agent cluster applications, the Compute-Power-Electricity Synergy 2.0 platform, the forecasting-dispatching-trading core function engine, and the intelligent operation and maintenance integrated management platform.
Damo Technology CEO Jian Yumin was invited to attend the main forum and delivered a keynote speech titled "Defining Compute-Power-Electricity Synergy with an Energy Brain, Building a New Paradigm for the Integration of AI Computing Power and Green Energy," pointing out that the key to breaking the deadlock in green power direct connection lies not in the zero-sum game over net electricity energy value, but in multi-market integrated arbitrage, and offering a systematic solution path through energy AI; Damo also took the lead in proposing the new E-AIDC energy-driven intelligent computing center paradigm, demonstrating the cognitive height and problem-solving capability of a core enterprise in the compute-power-electricity synergy industry chain.
Being the "bridge builder" between energy and computing power, breaking the deadlock in the implementation of green power direct-connection projects
Green power direct connection is a typical implementation scenario of compute-power-electricity synergy, yet it has long been stuck at the contract-signing stage. Hundreds of green power direct-connection projects have been approved nationwide, but only a minority have actually broken ground and been implemented.
In his speech, Jian Yumin pointed out that the core crux is that power generators and computing power parties only haggle over net electricity energy value, deadlocking for half a year over whether the electricity price should be 0.26 yuan or 0.28 yuan; in addition, the periods of large self-generated green power output coincide with low-price market periods, and capacity electricity fees are difficult to reduce, so the two sides can never agree based solely on net electricity volume, and a price gap of a few cents or a few thousandths of a yuan plunges the project into a zero-sum game.
Damo Technology's solution is to step outside the game over net electricity energy value and seek optimization through the integration of four markets—electric energy, regulation, capacity, and carbon—first making the pie bigger and then distributing it reasonably.
For example: in the electric energy price-spread space, beyond the base electricity volume that accounts for 50% to 60% of electricity fees, AI real-time arbitrage among energy storage peak shaving and valley filling, self-generated green power, and market-based power purchases lowers electricity volume costs; capacity electricity fees are rising with regulatory cycle reforms, and in the capacity transmission and distribution space, AI management of load-side capacity occupation can significantly reduce transmission and distribution costs while easing capacity occupation of the power grid; in the regulation and carbon revenue space, data center loads can participate in demand response and ancillary services to obtain relatively high one-time revenues, and through power quality management and green power consumption, obtain incentive subsidies and carbon asset appreciation.
In a project in a western province, Damo Technology used its energy large model to conduct simulations based on real data, completing calculations of 12,000 scenarios and 20 open boundaries (equivalent to 2 billion traditional static scenario calculations), uncovering a comprehensive value space of more than 3 cents, which not only bridged the 2-cent cognitive price gap between the two sides but also left room for optimization, ultimately achieving an IRR increase of about 20% for the investor and a 10% reduction in the user's delivered electricity price.
Behind this solution is the dual support of Damo's full-stack compute-power-electricity synergy technology product system and its integrated operation and maintenance service capability.
Relying on the dual engines of "fusion inference intelligence + coordinated game intelligence" built from its self-developed vertical-domain energy large model, atomic agents, and scenario-based agent clusters, it achieves prediction and trend perception of multi-source spatiotemporal and multi-market data such as load, power generation, and electricity prices, as well as global coordination and multi-objective optimal strategy solving across the multiple markets of electric energy, regulation, capacity, and carbon, building a closed loop of full-chain energy operation capability for intelligent computing centers; looking to the future, in response to the uncertainty of frequent iterations in electricity market policies, atomic agents use general, flexibly orchestrated capabilities to adapt to differences in local rules, achieving "one system implemented, one service delivered," and can be smoothly reused across various scenarios. From IDC to AIDC, and then to E-AIDC, "energy" defines the next-generation intelligent computing center
Gartner predicts for 2026 that in the Agentic era, the token consumption per task of agents can reach 5-30 times that of standard GenAI, computing power demand will climb exponentially, and GW-level intelligent computing centers will become widespread.
80% green power consumption has become the compliance threshold for new data centers at national hub nodes, and energy consumption indicators and grid connection conditions have become the realistic prerequisites for project implementation. Compute-power-electricity synergy has shifted from an optional item for cost optimization to a mandatory item for safe implementation, and the energy issue has become the core constraint on computing power expansion.
Under this trend, the form of data centers is undergoing a third-level evolution: traditional IDCs were built with the infrastructure mindset of wind, thermal, water, and electricity; AIDCs shifted to computing-power-driven; and E-AIDCs return to the origin of "energy efficiency"—the new-generation Token factory is first and foremost an "energy engineering" project, and only secondarily a "data center engineering" project.
Damo Technology took the lead in proposing the E-AIDC (Energy-driven AI Data Center) industry concept and provided a framework from three dimensions: Energy, energy operations, replacing the one-time construction mindset with full-lifecycle operations; Eco, low-carbon and efficient, reconstructing energy efficiency and carbon efficiency through integrated electricity and computing and coordinated source-grid-load-storage; Electricity, green power direct connection, making green power consumption a compliance prerequisite for project implementation and a long-term competitiveness for the new-generation Token factory to ride out cycles.
Its core is to turn data centers into self-optimizing systems that actively interact with and actively regulate the power grid, achieving predictability, adjustability, optimizability, and value appreciation, and releasing value by participating in whole-market trading through regulatory resources.
This is precisely how Damo Technology defines compute-power-electricity synergy with an energy brain, building a long-term stable energy core competitiveness for the new-generation Token factory.
CPE 2026 is in full swing, with the exhibition running until 14:00 on October 28. Damo Technology awaits visitors from all sectors at Booth E1010, Hall H3, Shanghai World Expo Exhibition and Convention Center, to explore together the compute-power-electricity synergy opportunities in the E-AIDC era.
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