Solar & Wind Energy Management
Solar & Wind Energy Management
SWEM is a mission-critical platform designed for the real-time monitoring and management of large-scale solar and wind power plants.
Project Overview
// section.overview
A Unified Command Center for National Renewable Energy
SWEM is a mission-critical platform designed for the real-time monitoring and management of large-scale solar and wind power plants. The system provides a unified interface for operators to track performance, manage maintenance schedules, and analyze energy production data — all in one place.
Project Problem
// section.problem
Manual processes were costing time, efficiency ,and operational stability.
Stakeholder Needs
// section.stakeholder.needs
Real-time Monitoring
Granular visibility into energy output across all assets.
Storage Optimization
Intelligent control over battery capacity and energy reserves
Data Scalability
Robust infrastructure capable of managing hundreds of sites
Performance
Optimized data rendering for near-instant dashboard responsiveness
Customer Needs
// section.customer.needs
Design Process
// section.design.process
RESEARCH
Analyzing operator workflows to identify bottlenecks
Information Architectur
Restructuring data hierarchies to reduce time-to-insight
Wireframing
Low-fi sketches, information architecture, user flows
Prebilud Custom Design System
Creating a proprietary UI/Tokens library for consistency
UX/UI Design
High-fidelity mockups, design system, component library
Testing
Usability testing with real technicians and owners
Handoff
Developer specs, annotation, interactive prototypes
The Solution
// section.solution
Centralized Control
[01]Unified disparate site data into one actionable command center.
Performance Boost
[02]Reduced main dashboard load time by 70%
UX Transformation
[03]Transformed complex tables into interactive, easy-to-read charts
Design System
[04]Created a comprehensive design system that ensures consistency and scalability across all products.
Key Screens
// section.key.screens
Learning & Reflections
// section.learning.reflections
Data-Driven Design Requires Domain Expertise
Visualizing energy output from dozens of power plants isn't just a data visualization challenge — it requires understanding what operators actually care about at 2am when an alert fires. Deep collaboration with engineers and site operators was what made the charts meaningful rather than just accurate.
Predictive Alerting Changes Operator Behavior
When operators are flooded with notifications, they start ignoring them. I learned that reducing alert noise — surfacing only what's actionable and urgent — was more valuable than adding more monitoring capabilities. Intelligent filtering is a UX problem, not just a technical one.
Scalability Must Be Designed In, Not Added Later
With hundreds of power plant sites potentially being added over time, components that looked fine for 10 sites broke down visually and functionally at 50. Building modular, scalable components from day one was one of the most important structural decisions of this project.
Real-World Testing Revealed Unexpected Workflows
Operators had developed their own unofficial workarounds inside the old system — habits we never would have discovered without observing them directly. Those workarounds became design requirements. Without field observation, we would have built a cleaner version of the wrong thing.
Next Project
Milani Oil Change
Product Designer
Let's Talk
Ready to build something great together?
I'm currently available for new opportunities and exciting projects.
Feel free to reach out — I usually reply within 24 hours.
