Energy Software · Industrial IoT · Edge & Cloud

Software for modern
energy systems.

We build the software layer connecting energy hardware with control systems, cloud platforms, and data infrastructure — from BESS and PCUs to edge gateways and enterprise EMS.

0+Years Systems Engineering
0+Signals Normalized
0%Data Loss Across Outages
array@dynamic: ~/energy-layer
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SYSTEM ARCHITECTURE

The Bridge Between Hardware & Intelligence

Array Dynamic engineers the software layer connecting physical energy equipment to edge automation, high-throughput cloud pipelines, and operator applications.

Physical Layer

Connected Energy Assets & Industrial Hardware

Battery Energy Storage Systems (BESS), Power Control Units (PCU), Power Conversion Systems (PCS), Battery Management Systems (BMS), Solar Inverters, Energy Meters, EV Chargers, and Industrial Controllers.

BESSBattery Storage
PCUPower Control Units
PCSInverters & Converters
BMSBattery Management
SolarPV Inverters
MetersGrid Meters
EV ChargersCharging Hubs
ControllersPLC & Sensors
Industrial Fieldbuses:
Modbus TCP / RTUCAN BusRS485 / SerialDry ContactsIndustrial Ethernet
Array Dynamic Software Layer

Edge Gateway & Protocol Normalization Engine

Hardware driver adapters, canonical signal mapping (~677 signals), offline-resilient store-and-forward local ring buffering, command interfaces, and deterministic protocol translation.

Protocol Drivers

Modbus TCP/RTU, CAN & MQTT adapters mapping raw device registers into typed data structures.

Signal Normalization

Canonical ~677 point dictionary with SunSpec semantic overlay, standardizing multi-vendor BESS & PCUs.

Store-and-Forward Buffer

Decoupled sampling loop writing to local SQLite ring buffer. 0% telemetry loss during LTE/WAN outages.

Local Autonomous Logic

Deterministic local failovers, peak shaving control modes, and RevPi Linux edge execution.

Application & Intelligence Layer

Edge, Cloud & Operations Platforms

Central EMS platforms, high-throughput time-series data pipelines (IoTDB/Timescale), remote setpoint control, automated fault handling, energy intelligence, and operator dashboards.

Central EMS Platform

Multi-site supervisory dispatch, setpoint controls, and automated alarm handling.

Time-Series Pipelines

Scalable ingestion into IoTDB & TimescaleDB for continuous high-frequency storage.

AI & Energy Intelligence

Generation & load forecasting, anomaly detection, and predictive degradation insights.

Operator Dashboards & APIs

Real-time web consoles, role-based access control (RBAC), and REST/WebSocket APIs.

Core Capabilities

What we engineer

Specialized software architectures built for manufacturers, EPCs, and energy operators requiring extreme reliability, deterministic control, and zero data loss.

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Energy Management Systems (EMS)

Design and development of custom EMS platforms for BESS, solar, hybrid generation, EV charging, and commercial/industrial sites. Features real-time telemetry, remote setpoint dispatch, multi-mode scheduling, automated fault handling, and asset lifecycle analytics.

BESSSolar & HybridSchedulingDispatch ModesFault Matrix
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Proven Engineering

Real-World Industrial Case Studies

Real engineering deployments demonstrating our hardware integration, edge resilience, and protocol engineering.

BESS & EMS Architecture
677+Normalized Signals

Powers2Go BESS Platform

The Challenge

A multi-subsystem BESS deployment spanning PCS, battery racks, HVAC, fire suppression, metering and STS subsystems had no shared vocabulary. Every vendor named the same measurement differently, device IDs were duplicated between MQTT topics and JSON bodies, and inconsistent topic depth broke wildcard subscriptions.

The Engineering Solution

Built a canonical signal architecture across a registry of ~677 signals — snake_case in MySQL, SunSpec-aligned paths in IoTDB, versioned MQTT topics — with SunSpec used as a trimmed semantic overlay rather than a strict compliance target. Plus ems-edge, a Python edge agent on Kunbus RevPi that normalises heterogeneous device telemetry before publish, significantly reducing bandwidth overhead.

Edge Firmware & Telemetry
0%Data Loss (LTE Outages)

Zynxpower Power Control Unit (PCU)

The Challenge

An energy storage OEM needed reliable telemetry from power control units running on constrained hardware over unstable cellular connections, where standard QoS 1 MQTT publishes were backing up and dropping data during outages.

The Engineering Solution

Implemented a store-and-forward telemetry firmware architecture. We decoupled the sampling loop from the publish loop, writing a 498-signal catalogue to a local SQLite ring buffer. When the cellular modem drops, the agent batches historical data and replays it sequentially upon reconnection, successfully eliminating data loss across LTE dropouts.

Discuss Hardware Integration & Case Studies
Target Ecosystem

Who We Work With

We engineer the software layer for equipment manufacturers, EPC contractors, and system integrators deploying connected energy assets.

BESS & Battery OEMs

Containerized storage software, battery rack telemetry, BMS/PCS orchestration, and cloud monitoring.

Inverter & PCU Manufacturers

Embedded gateway software, driver adapters, Modbus/CAN protocol translation, and secure cloud connectivity.

Solar + Storage EPCs & Integrators

Plant-level supervisory control, hybrid dispatch scheduling, grid compliance telemetry, and multi-site operations.

EV Charging & Microgrids

Dynamic load management, charging hub telemetry, and autonomous microgrid control with seamless islanding.

Connected Hardware & Industrial Tech

End-to-end IoT software stacks for manufacturers bringing complex physical machines and telemetry devices online.

Beyond Energy

Software Engineering Capabilities

The same rigorous engineering discipline we bring to mission-critical energy hardware powers advanced custom software platforms for companies across industries.

Custom Web Applications & SaaS

Scalable web applications, customer portals, and SaaS platforms engineered with modern TypeScript, React, and Next.js for high concurrency and clean user experiences.

Cloud-Native Backends & APIs

Robust microservice architectures, high-throughput distributed backends, REST/GraphQL APIs, and resilient data storage built on modern cloud infrastructure.

Enterprise Tools & Dashboards

Internal operations tooling, real-time command consoles, data aggregation dashboards, and workflow automation systems built for business efficiency.

AI-Enabled Business Platforms

Intelligent data pipelines, document processing, forecasting models, and AI capabilities integrated into core operational workflows.

Proprietary Platform

Requify.tech

Our proprietary SaaS platform built with the same architecture, performance standards, and care we bring to client engagements.

SYSTEM ACTIVE // PCU-BESS TELEMETRY

Precision Edge Telemetry & Hardware Control

Real-time state monitoring, setpoint control, and store-and-forward edge buffering designed for continuous operation under unstable network conditions.

Initialize Telemetry Stream
Visualisation of energy flow across an optimised industrial power grid
GRID_STATUS
Nominal // 99.8% Sync

Live Edge Telemetry & Buffer Stream

Status: Live Telemetry
PCU Integration Core
v2.4.1 [RevPi / Linux]
> Probing Modbus TCP/RTU & CAN buses... OK
> Ingesting SunSpec BESS telemetry (677 signals)... OK
> Local SQLite ring buffer: 0 uncommitted frames
> LTE connection stable // QoS 1 broker handshake: SUCCESS
> Active power setpoint: 450.0 kW (Grid sync confirmed)
Load & Demand Optimization
Past Load (kW)Predicted Demand (kW)
Power Conversion & Flow
BESS Rack 01 (SoC: 84%)84%
Grid Export Setpoint450.0 kW
Edge Gateway Synchronization
Edge-to-Cloud Latency
1.8ms
Telemetry Availability
100% (0% Loss)
FAQ

Frequently Asked Questions

Array Dynamic specializes in Energy Software, Industrial IoT, Energy Management Systems (EMS), Edge Computing, and Cloud Data Platforms. We build the software layer that connects industrial and energy hardware (BESS, PCUs, PCS, BMS, inverters, meters, EV chargers) with control systems, cloud pipelines, and customer applications.

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