Powering Reliable Energy Storage Infrastructure with Expandable Edge AI Workstations

KCO-3000 Series Expandable Edge AI Workstation supporting industrial computing for battery energy storage systems


Overview 

As utilities, renewable developers, and independent power producers scale battery energy storage systems, dependable industrial computing has become essential for monitoring, control, and long term site reliability. A large Canadian energy storage solutions provider needed an industrial grade computing platform that could support wall mount deployment, flexible display connectivity, and responsive technical collaboration across BESS applications. Premio helped by delivering Premio’s Expandable Edge AI Workstations for reliable energy storage infrastructure, supported by fast engineering communication and practical deployment guidance.  

Challenges 

  • Need dependable Intel Core processing for continuous energy storage monitoring and control workloads  
  • Requirement for industrial grade hardware that can support long lifecycle BESS deployments  
  • Need for flexible display support across DP, HDMI, DVI, and VGA service environments  
  • Wall mount deployment required for clean integration into energy storage control infrastructure  
  • Need for UL certified industrial systems that align with utility scale reliability expectations  

Solution 

  • Premio’s Expandable Edge AI Workstations (KCO-3000 Series)  
  • Industrial grade chassis for dependable energy storage deployments  
  • Intel Core i3 configuration with 16GB DDR4 memory  
  • 4x DP++ display outputs for modern and legacy display interface needs  
  • Windows 10 IoT with dedicated OS and storage drives  

Benefits 

  • Reliable BESS computing foundation  
  • Flexible display connectivity  
  • Responsive engineering support  


Company Overview 

A Canadian energy storage solutions provider delivers fully integrated battery energy storage systems, control software, commissioning, monitoring, and system management services for utility scale projects. The organization excels at combining deep battery expertise, safety focused engineering, and customer support to help accelerate cleaner and more resilient energy infrastructure. Its future direction centers on scalable storage systems that strengthen grid flexibility, renewable integration, and long term energy reliability.  


The Challenges

KCO-3000 Series Expandable Edge AI Workstation supporting industrial computing for battery energy storage systems

Dependable Processing For Energy Storage Operations

Battery energy storage systems rely on stable computing resources to support monitoring, coordination, and site level control workflows. The customer needed a system that could run continuous operational tasks without depending on commercial grade hardware that may not be suited for industrial deployments. A dependable Intel Core based platform helped create the processing foundation needed for long term energy storage infrastructure.

Industrial Hardware For Long Lifecycle Deployments

Energy storage projects are designed for long service life, making hardware durability and consistency especially important. The customer needed an industrial grade computing platform that could be purchased and deployed over time without creating unnecessary redesigns. Standardizing on the KCO-3000 Series helped support repeatable system integration across multiple deployments.

Flexible Display Support For Field Service Needs

Energy storage sites often involve a mix of modern digital displays and legacy service workflows. The customer needed flexible display support to simplify setup, maintenance, and troubleshooting across different site environments. The KCO-3000 Series supports 4x DP++ independent displays, enabling DP connectivity while supporting HDMI, DVI, and VGA based needs through compatible adapters.

Wall Mount Integration For Energy Infrastructure

Battery energy storage environments require organized installation near control systems, communications equipment, and electrical infrastructure. The customer needed a computer that could support wall mount deployment while maintaining an industrial grade mechanical design. This helped field teams create cleaner installations that were easier to access, service, and repeat across energy storage sites.

UL Certified Industrial Reliability

Utility scale energy infrastructure requires professionally engineered systems that align with safety and reliability expectations. The customer needed industrial computing hardware with certifications appropriate for demanding operational environments. The KCO-3000 Series is listed with UL 62368 Ed. 3, FCC, and CE certifications, helping support confidence in mission critical deployments.


The Solution 

Premio’s KCO-3000 Series Expandable Edge AI Workstation 



Industrial Wall Mount Edge Computer 

The KCO-3000 Series was selected as the industrial computing platform for battery energy storage infrastructure. Its wall mount deployment flexibility allowed the customer to integrate computing into organized control environments where access, consistency, and reliability matter. For energy storage teams deploying systems across multiple sites, this created a repeatable hardware foundation. 

Industrial Grade Chassis 

The customer’s configuration uses an industrial grade chassis designed for demanding deployment conditions. In practical use, this helps support installation near control equipment, communications systems, and other BESS infrastructure. The rugged chassis design helps protect the system in environments where serviceability and dependable operation are essential. 

Intel Core Configuration With 16GB DDR4 Memory 

The deployed configuration uses an Intel Core processor with 16GB DDR4 memory. This balance gives the customer a practical computing profile for monitoring, control, and site level application workloads. It also helps avoid unnecessary system complexity while still supporting the dependable performance required in energy storage operations. 

Flexible Display Connectivity 

The KCO-3000 Series provides 4x DP++ display outputs to support multi display deployment needs. This gives the customer flexibility for digital DP connections while supporting HDMI, DVI, and VGA based service requirements through compatible interfaces and adapters. For energy storage teams managing both newer systems and legacy field workflows, this display flexibility helps simplify setup, maintenance, and service access.  

Windows 10 IoT With Dedicated Storage 

The current system includes one 128GB drive for the operating system and one 256GB drive for storage, running Windows 10 IoT. This separation supports a cleaner deployment structure by keeping the operating environment distinct from stored application data. For fielded energy systems, that approach can simplify maintenance and improve operational organization. 


The Benefits 

Reliable BESS Computing Foundation 

The KCO-3000 Series gave the customer an industrial computing platform suited for demanding energy storage deployments. Its industrial design helps support operational continuity across BESS infrastructure. 

Flexible Display Connectivity 

The 4x DP++ display outputs support modern digital displays while allowing compatibility with HDMI, DVI, and VGA service needs through the right adapters. This helps field teams work across both new and legacy service environments. 

Responsive Engineering Support 

Premio’s team provided quick answers to power consumption questions and other technical requirements. With support available from Premio’s Los Angeles area team, the customer gained a responsive partner for ongoing deployment needs. 


Conclusion 

As battery energy storage deployments continue to scale, reliable industrial computing becomes a critical part of site level infrastructure. By standardizing on the KCO-3000 Series, a large Canadian energy storage solutions provider gained an industrial grade wall mount computing platform with flexible display support and responsive technical collaboration. The result is a practical computing foundation for the evolving demands of grid scale energy storage. 



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