Xinan Intelligence Technology · 2026-10-05

Engineering data and integration brief

Connect energy resources, edge controllers and dispatch platforms through aggregation, gateways and custom equipment.

Original AI-generated concept scene; not a real customer, device or project result.

Data and collection definitions

Collect equipment, load history, points, SOC, solar/weather, charging tasks and contracts. Record intervals, timezone, units, quality and missingness; validate baselines, availability and market rights locally rather than using generic web data.

Interfaces and integration

Cover devices, gateways, EMS, metering, dispatch and settlement. Separate read/control rights; commands carry expiry, constraints and receipts with local protection. Test protocol, security and measurement in lab and field stages.

Operations and handover

Deliver site roles, policies, inventories, replay and alarms. Exercise outages, data drift, unavailable devices, opt-out and revoked dispatch; coordinate with operators within safety roles, without replacing electrical protection.

What we can develop

Aggregation and dispatch for storage, solar, charging, buildings and flexible loads.
Custom gateways, controllers, metering interfaces and device protocols.
Energy forecasting, constrained optimization and DCP compute-energy integration.
Pilot integration, event replay, dispatch audits and operations platforms.
Commercial storage, distributed solar, charging and building energy management.
Coordination studies for campuses, factories, data centers and flexible compute.
Metering, edge EMS, remote operations and alarms.
Demand-response pilots, resource inventories and settlement-data APIs.

From requirements to handover

Requirements and authorization: define the problem, owners, data and interface rights.
Plan and baseline: agree scope, risks, budget, deliverables and acceptance.
Prototype and pilot: validate critical flows and recovery in controlled environments.
Integration and acceptance: review test evidence, not demonstrations alone.
Handover and maintenance: deliver docs, training, access, backups and iteration plans.

Scenario and solution studies

Concept studies illustrate design and acceptance, not completed customer projects.

Campus solar-storage-charging pilot

Project context: Solar, storage and chargers operate separately.

Solution approach: Define constraints and metering baselines, monitor first, then test authorized dispatch.

Acceptance focus: Check response deviation, SOC limits, logs and offline protection.

DCP flexible compute-load coordination

Project context: Flexible jobs can shift, but critical services cannot.

Solution approach: Classify workloads and service levels; shift noncritical jobs during energy events and record compute costs.

Acceptance focus: Assess energy response, completion and service quality together, not energy savings alone.

Industrial load monitoring and flexibility

Project context: A factory has flexible loads but prioritizes production and safety.

Solution approach: Assess timing and process limits; baseline data before staged authorized control.

Acceptance focus: Verify process constraints, baselines, delay and recovery without forcing all loads.

Urban charging energy coordination

Project context: Multiple charging sites need monitoring and capacity limits.

Solution approach: Integrate metering and authorized control with user needs and local protection.

Acceptance focus: Check power caps, completion, communication failures and user impact.

Data and acceptance measures

Measures guide project testing. Except for cited industry definitions, they are not achieved Xinan results or performance promises.

Flexibility: separate kW/MW, duration and availability windows.
Response: measure command deviation, latency and recovery with metering quality and baselines.
Industry scenario: DOE's 2025 material discusses 80–160GW by 2030, not installed capacity or Xinan scale.
Separate energy (kWh/MWh) from power (kW/MW); do not mix units.
Event availability = qualifying events / required events; agree exclusions in advance.
Data quality: disclose sampling, clock synchronization, missingness and calibration.

Sources and industry references

Third-party material is technical reference, not a partnership or endorsement. Checked: 2026-10-05.

DOE Virtual Power Plants 2025 Update

Source for the 2030 deployment scenario and consumer resource aggregation; not guaranteed outcomes.

DOE Project Hestia / VPP projects

Public case: Project Hestia covers residential solar, storage and VPP-ready software; not a Xinan project.

Before we start, tell us

Location, resources, protocols, metering, dispatch rights, market conditions and pilot sites.

Delivery and usage boundaries

Dispatch, interconnection and trading require local compliance; no revenue guarantee or claim that concepts have operating authorization.