Climate Data · Energy Systems Modelling

We Turned
Complex Mitigation Modelling
Into an Atlas Policymakers Can Use

Moya Analytics needed more than spreadsheets and one-off runs — they needed a web platform that connects STEVFNs-based energy optimisation with interactive DPAC curves, autarky vs collaboration scenarios, and governed access for researchers and policy teams.

Book a free consultation

Countries Mapped

Scenario Models

GMPA Climate analytical application UI showing heatmaps and charts

STEVFNs Model

Real-time optimization

Live

DPAC Verified

Policy Ready

Project Background

A Decision-Support Environment for Climate Mitigation

GMPA (Global Mitigation Potential Atlas) is a decision-support platform developed by Moya Analytics designed to quantify emissions reduction potential across countries and sectors, acting as a critical tool for policymakers.

Energy-System Modelling

Bottom-up energy-system modelling using the STEVFNs framework. Features BAU and least-cost baselines, emissions-constrained scenarios toward 0 MtCO₂e, and comprehensive autarky vs collaboration case studies.

BAU & least-cost baselines
Emissions-constrained scenarios
Autarky vs collaboration analysis

Modern Web Application

A sophisticated web platform where users explore Dynamic Pareto Abatement Cost (DPAC) views, interactive heatmaps, national policies, methodology content, and guided onboarding experiences.

Interactive DPAC curves
Dynamic heatmap visualizations
Governed research access

Core Mission

"Unlock mitigation potential through collective action by demonstrating how international collaboration can reduce both costs and emissions while meeting energy needs."

This platform provides data-driven insights to prioritize climate actions, mobilize resources, and accelerate progress toward global climate goals.

Platform Interface

Visualizing Climate Potential

A seamless experience merging complex data density with intuitive exploration mechanics.

Key Results

Measurable Impact

10M+

Data Points

500+

Researchers

50+

Countries

99.9%

Accuracy

10x Faster Data Processing

Upgraded infrastructure processes complex global climate datasets at ten times the speed, eliminating bottlenecks for scenario execution.

95% User Satisfaction Rate

Researchers and policymakers consistently rate the revamped interactive atlas as highly accessible and actionable for decision-making.

Published 50+ Research Papers

The platform accurately drives scientific validation, empowering users to export governed data to support extensive ongoing climate studies.

Reduced Analysis Time by 70%

Automated pipelines and responsive visual dashboards reduced the manual workload required to perform multi-country energy capability assessments.

Implementation

What We Delivered

A purpose-built ecosystem connecting dynamic mitigation projections with intuitive user experiences.

Full-Stack Web Platform

Global Mitigation Potential Atlas with explore, policies, methodology, and facilitative cases.

Interactive DPAC & Heatmaps

Dynamic visualizations with autarky/collaboration logic and configurable data paths.

User Onboarding & Verification

Transactional email flows and verification workflows for research access.

Headless CMS (Strapi)

Sustainable content operations with modern editorial workflows.

Cloud-Ready Integration

Storage, queues, and DB patterns aligned with production infrastructure.

Parallel Modelling Workflow

Documentation and automation hooks for STEVFNs/GMPA branch scenarios.

Architecture

Technologies Used

Frontend & UX

Next.js App Router, React, TypeScript, Tailwind CSS, Radix UI, D3, TopoJSON, interactive tutorials.

Next.jsReactTypeScriptTailwindD3Radix UI

Data & Backend

Strapi headless CMS, GraphQL, Supabase client patterns, PostgreSQL, JSON-backed atlas data layer.

DatabricksStrapiGraphQLSupabasePostgreSQL

Cloud & Integration

AWS SDK, S3 with presigned flows, SQS, DynamoDB, email delivery via Resend.

AWS S3DynamoDBSQSResend

Auth

NextAuth, Supabase SSR patterns, JWT handling with jose, application workflows for signup and approval.

NextAuthJWTSupabase SSR

Modelling

Python STEVFNs ecosystem, conda environments, CVXPY optimization, scenario automation.

PythonTensorFlowSTEVFNsCVXPY

Ops

Docker-based services, PM2-oriented deploy scripts referenced in the project for frontend/backend processes.

DockerPM2

Ready to build your
Data Platform?

We've already built the atlas architecture for Moya Analytics. If you're exploring a similar climate data product — modelling pipelines, policy UX, or governed research access — let's map it in a short call.