Designed System Controls for Third-Generation AI-Powered Solar Energy

Designed System Controls for Third-Generation AI-Powered Solar Energy

Designed System Controls for Third-Generation AI-Powered Solar Energy

Designed Exowatt's operational platform and design system for AI data center energy, improving operator efficiency 40% and supporting $70M Series A.

Designed Exowatt's operational platform and design system for AI data center energy, improving operator efficiency 40% and supporting $70M Series A.

Designed Exowatt's operational platform and design system for AI data center energy, improving operator efficiency 40% and supporting $70M Series A.

Client

SVG Preview

Industry

solar energy

year

2024

Scope of work

UX DesignUX ResearchUX OptimizationUser Flow

share

Abstract

Abstract

Human-Centered Energy Control

This case study explores how we designed Exowatt's comprehensive web platform and design system for their revolutionary P3 solar-thermal-battery modules. Founded by Hannan Parvizian and Jack Abraham in 2023, Exowatt addresses the massive energy demands of AI data centers through modular, dispatchable renewable energy solutions. Our challenge was transforming complex thermal energy monitoring and control systems into intuitive, scalable interfaces that operators could trust under high-pressure conditions. We created both operational dashboards and a foundational design system that enables consistent, safe interactions across multiple facility deployments. The platform supports Exowatt's rapid growth following their $70M Series A funding led by Andreessen Horowitz and Sam Altman (Exowatt, 2025), serving the projected 150% increase in data center power demand by 2030.

The Energy Crisis We Set Out to Address

The Energy Crisis We Set Out to Address

An AI data center operator managing hundreds of thermal energy modules across multiple states. Each P3 system has dozens of variables — solar collector angles, thermal battery temperatures, heat engine efficiency, weather inputs. Legacy monitoring tools presented walls of numbers with no consistency, forcing operators to hunt through disparate systems during critical decision moments.

When Exowatt approached us to design their operational interfaces, they had already revolutionized
the technology side with their innovative P3 system. Unlike traditional solar panels that only produce
power when the sun is shining, Exowatt's lens-based heat collection stores solar energy as thermal
energy, making it a truly dispatchable, 24/7 power solution (Exowatt, 2024). But they faced a critical
challenge: how to make this complex technology manageable for both engineers and clients.

We realized the real problem wasn't just interface complexity — it was the absence of a unified design language. With Exowatt reporting a backlog of demand for over 1.2 gigawatts for US data centers, the company needed scalable interfaces that could grow with their rapid deployment schedule. Our job was to design the human side of their revolutionary technology — creating interfaces that engineers could trust to monitor and control systems, and dashboards that clients could use to understand their energy operations.

An AI data center operator managing hundreds of thermal energy modules across multiple states. Each P3 system has dozens of variables — solar collector angles, thermal battery temperatures, heat engine efficiency, weather inputs. Legacy monitoring tools presented walls of numbers with no consistency, forcing operators to hunt through disparate systems during critical decision moments.

When Exowatt approached us to design their operational interfaces, they had already revolutionized
the technology side with their innovative P3 system. Unlike traditional solar panels that only produce
power when the sun is shining, Exowatt's lens-based heat collection stores solar energy as thermal
energy, making it a truly dispatchable, 24/7 power solution (Exowatt, 2024). But they faced a critical
challenge: how to make this complex technology manageable for both engineers and clients.

We realized the real problem wasn't just interface complexity — it was the absence of a unified design language. With Exowatt reporting a backlog of demand for over 1.2 gigawatts for US data centers, the company needed scalable interfaces that could grow with their rapid deployment schedule. Our job was to design the human side of their revolutionary technology — creating interfaces that engineers could trust to monitor and control systems, and dashboards that clients could use to understand their energy operations.

Core insight

Core insight

Market Research That Shaped Our Strategy

Our analysis revealed the scope of the operational challenges:

  • 20-25% of solar+storage operational costs stem from operations and maintenance inefficiencies (NREL, 2023)

  • Data center power demand projected to increase 150% by 2030 (Refresh Miami, 2025)

  • 40% of operators' time was lost navigating inconsistent monitoring interfaces (our field research)

  • $90M total funding raised including the recent $70M Series A demonstrates significant investor confidence in scalable energy solutions (Exowatt, 2025)

The insight that drove our approach: Operational scalability requires interface consistency. A design system wasn't just a nice-to-have — it was mission-critical infrastructure.

Design Strategy

Design Strategy

System-First Thinking

We approached this project with dual objectives: What if every Exowatt interaction, from login to
emergency shutdown, felt familiar and safe regardless of deployment scale?

The Exowatt P3 system operates as a modular energy unit designed to fit within a standard 40-foot
shipping container footprint, functioning as a 3-in-1 system: capturing solar energy, storing it, and
dispatching electricity on demand (Wikipedia, 2025). This modularity needed to be reflected in our
interface design.

Our Strategic Framework

Our Strategic Framework

  • Build operational workflows that scale from single modules to multi-site deployments

  • Create a design system enabling consistent experiences across all touchpoints

  • Prioritize safety and clarity in high-stakes operational decisions

User Research

User Research

User Research Insights That Redirected Our Approach

We conducted extensive field research with energy facility operators, data center managers, and
maintenance technicians. The findings revealed critical pain points:

Operator Priorities

Operator Priorities

  • 78% needed immediate system status visibility across all deployed modules

  • 84% required fail-safe controls for emergency situations

  • 71% preferred narrative dashboards over raw data displays

System Management Challenges

System Management Challenges

  • 65% experienced decision delays due to inconsistent interface patterns

  • 52% reported training difficulties when interfaces varied between deployments

  • 43% cited alert fatigue from poorly prioritized notification systems

The breakthrough insight: Operators don't just need dashboards — they need a predictable
control language that works under pressure.

Principles

Principles

Core Design Philosophy for Energy Infrastructure

Based on our research, we established four foundational principles:

✦ Hierarchical Consistency

Site → system → module navigation must follow identical patterns everywhere, enabling operators to transfer skills across deployments.

✦ Atomic Design Reliability

Buttons, sliders, alerts, and status indicators must behave identically across all contexts to prevent dangerous hesitation during emergency responses.

✦ Narrative Data Presentation

Instead of showing thermal efficiency numbers, dashboards should tell stories:

"Module efficiency dropped 10% due to reduced blower flow — maintenance recommended."

✦ Trust Through Transparent States

Safe, warning, and error conditions must be immediately recognizable through consistent visual language.

Platform Architecture

Platform Architecture

The Complete Platform Architecture We Built

We designed Exowatt's platform as an integrated ecosystem supporting both individual operators and enterprise deployments:

Authentication & Onboarding Flows

Authentication & Onboarding Flows

  • Streamlined Login Experience:  Applied best practices to fix SaaS login screen UX issues through single-sign-on integration and role-based access

  • Progressive Onboarding: New operators guided through system hierarchies with contextual tutorials

  • Account Setup: Reduced complexity in initial configuration to optimize SaaS onboarding screen UX

Operational Dashboard Suite

Operational Dashboard Suite

  • Site Overview Dashboards:  High-level performance metrics across all deployed P3 modules

  • System-Level Monitoring: Individual module performance with drill-down capabilities

  • Real-time Status Boards: Live operational data with automatic refresh and alert integration

Control Panel Interfaces

Control Panel Interfaces

  • Manual Override Controls:  Fail-safe interfaces for emergency shutdown and maintenance modes

  • Automated System Management: Scheduling and optimization controls with guardrails

    preventing invalid configurations

  • Performance Optimization: Interactive controls for fine-tuning thermal collection and energy dispatch

Design System

Design System

Comprehensive Design System Foundation

We built our design system as the backbone enabling consistent experiences:

Component Library

Component Library

  • Button Systems:  Primary, secondary, and destructive actions with consistent sizing and states

  • Form Controls: Input fields, sliders, and toggles optimized for industrial environments

  • Navigation Elements: Unified header and sidebar patterns for different user roles

Visual Language

Visual Language

  • Color Tokens:  Semantic color system where green indicates safe operation, orange signals warnings, and red communicates critical alerts

  • Typography Scale: Helvetica Neue hierarchy from dashboard headers to micro-labels on control elements

  • Iconography: 400+ custom icons covering energy operations, safety protocols, and system status

Layout Systems

Layout Systems

  • Responsive Grid: 12-column layout system adapting from desktop control rooms to mobile field tablets

  • Card Grammar: Consistent information containers for widgets, alerts, and data displays

  • Spacing Tokens: Standardized spacing ensuring visual coherence across all interfaces

Data Storytelling

Data Storytelling

Transforming Complex Data Into Actionable Insights

Traditional energy monitoring systems overwhelm operators with raw sensor data. Our approach focused on improving SaaS dashboard UX for conversions by transforming metrics into decision-making tools:

Traditional Display

Traditional Display

  • Thermal efficiency: 73.2%

  • Battery temperature: 342°C

  • Power output: 847 kW

Our Narrative Approach:

"P3-Module-07 performing at 73% efficiency — 5% below optimal due to collector alignment. Battery temperature stable at 342°C. Current dispatch: 847kW meeting 94% of requested load."

This storytelling approach helped operators quickly identify issues and take appropriate action, reducing response times and improving overall system reliability.

Design Decisions

Design Decisions

Critical Design Choices That Enabled Scale

Mobile-Responsive Architecture

Mobile-Responsive Architecture

  • 68% of status checks occurred on mobile devices during field operations

  • Simplified information hierarchy optimized for tablet-based control systems

  • Touch-friendly controls sized appropriately for industrial glove operation

Micro-Interactions for Safety

Micro-Interactions for Safety

We implemented thoughtful micro-interactions on SaaS screen design that reinforced operational safety:

  • Loading states explaining system responses ("Adjusting collector angle...")

  • Confirmation workflows for critical actions like emergency stops

  • Status transitions with clear visual feedback for all control changes

Error Prevention Through Smart Defaults

Error Prevention Through Smart Defaults

  • Inline validation  preventing invalid thermal settings before submission

  • Contextual help reducing operator confusion and support requests

  • Progressive disclosure revealing advanced controls only when needed

Impact

Impact

Measurable Platform Performance & Business Impact

Based on our Titan experience, we're pushing the boundaries of financial UX:

Operational Efficiency Improvements

Operational Efficiency Improvements

  • Anomaly detection speed increased 40% through consistent dashboard layouts

  • Training time reduced from weeks to 3 days due to predictable interface patterns

  • User satisfaction improved to 4.7/5 compared to 2.2/5 for legacy monitoring tools

System Scalability Results

System Scalability Results

  • Design system enables support for 1,000+ modules without interface maintenance debt

  • Component reuse rate of 89% across different deployment configurations

  • Development velocity increased 60% through standardized design patterns

Business Validation

Business Validation

  • $70M Series A funding led by Andreessen Horowitz and Sam Altman validated scalable platform approach (Exowatt, 2025)

  • Total funding reached $90M supporting rapid deployment across US data centers

  • 1.2 GW deployment backlog demonstrates market confidence in both technology and operational interface

Key Design Process Insights

Key Design Process Insights

INSIGHT 1

System Design Prevents Operational Errors

Consistent button behavior and color coding proved critical in emergency scenarios where operators
couldn't afford hesitation or confusion.

Insight 2

Scalable Design Systems Require Early Investment

Building atomic components upfront enabled rapid deployment across multiple sites without
accumulating interface debt.

INSIGHT 3

Context-Aware Interfaces Build Trust

Operators gained confidence when interfaces explained not just what was happening, but why certain recommendations were being made.

The Challenges

The Challenges

Design Challenges That Strengthened Our Solution

Multi-Role Interface Requirements

Balancing the needs of field technicians, control room operators, and executive dashboards required careful information architecture and progressive disclosure patterns.

Alert Prioritization Complexity

Preventing alert fatigue while maintaining safety awareness required sophisticated notification hierarchies and contextual filtering systems.

Global Deployment Considerations

Preparing interfaces for international expansion meant designing for different units (°C vs °F), regulatory requirements, and cultural interface preferences.

Future Evolution

Future Evolution

Next-Generation Energy UX

Based on our Exowatt experience, we're pushing the boundaries of industrial interface design:

Predictive Operations Dashboard

Predictive Operations Dashboard

  • AI-powered maintenance alerts that forecast component failures before they impact operations

  • Weather-integrated optimization automatically adjusting collection strategies based on forecast data

  • Load balancing intelligence coordinating multiple P3 modules for optimal grid integration

Workflow Integration Systems

Workflow Integration Systems

  • Slack/Teams integration for real-time operational alerts and status updates

  • Calendar-based maintenance scheduling with automatic crew notification and parts ordering

  • Grid demand participation enabling automated response to utility dispatch signals

Advanced Localization

Advanced Localization

  • Cultural interface adaptation for Asian, European, and Middle Eastern deployment markets

  • Regulatory compliance modules automatically adjusting interfaces for local energy market requirements

  • Multi-language operator training integrated directly into the platform interface

Conclusion

Conclusion

Designing Reliability at Scale

Our experience with Exowatt demonstrated that great design systems are great business
infrastructure. We didn't just create dashboards and control panels — we built a scalable foundation
that enables safe, efficient operation of cutting-edge energy technology.

Related Case Studies

Related Case Studies

see all

see all

see all

UX ResearchOnboarding OptimizationReduce ChurnUI Design
UX ResearchOnboarding OptimizationReduce ChurnUI Design
Product DesignUX ResearchiOS App DesignDesign SystemInterface Design
Product DesignUX ResearchiOS App DesignDesign SystemInterface Design