Renewable Energy Community Optimizer
Deploys a fleet of 14 specialized AI agents that work collaboratively through an enterprise-grade orchestration pipeline. The system ingests member data, validates inputs, performs multi-objective genetic algorithm optimization across 1,200+ scenarios, and generates comprehensive feasibility reports with regulatory compliance packages.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Energy Community Design Optimizer - System architecture overview with 5 specialized agents for REC optimization workflow
AI Orchestration Engine - Real-time execution flow showing agent coordination with system metrics and performance indicators
Optimization Pipeline Progress - Sequential agent workflow from data ingestion through compliance verification and quality assessment
Analysis Complete Dashboard - Comprehensive project summary with financial metrics, optimal configuration results, and technical specifications
AI Agents
Specialized autonomous agents working in coordination
Master Orchestrator
Complex multi-agent workflows require coordinated task delegation, error recovery, and saga coordination to ensure reliable end-to-end execution without data loss or processing failures.
Core Logic
Coordinates all agents using enterprise patterns including workflow management, agent routing, error recovery with circuit breakers, and saga coordination. Powered by Claude 3 Opus with 256MB memory allocation for complex reasoning tasks.
Data Ingestion Agent
Energy community data comes from multiple formats and sources requiring normalization, schema inference, and standardization before analysis can begin.
Core Logic
Ingests and normalizes data from CSV files, API integrations, and manual inputs. Performs automatic schema inference, data normalization to SI units, and preparation for downstream processing. Uses 128MB memory for efficient batch processing.
Validation Agent
Poor data quality leads to incorrect optimization results and financial projections. Anomalies, missing values, and inconsistencies must be detected early in the pipeline.
Core Logic
Validates data quality using schema validation, anomaly detection with isolation forest algorithms, data cleansing, and quality scoring. Powered by Claude 3 Haiku for fast validation with 64MB memory footprint.
AI Reasoning Agent
Energy community design requires complex reasoning about technical feasibility, financial viability, and regulatory compliance that spans multiple knowledge domains.
Core Logic
Performs complex reasoning using RAG retrieval from regulatory databases, chain-of-thought analysis, hypothesis generation, and context synthesis. Uses Claude 3 Opus with 512MB memory and tracks token usage for cost optimization.
Optimization Agent
Finding the optimal REC configuration requires evaluating thousands of scenarios across multiple competing objectives (NPV, payback, self-consumption) with technical and budget constraints.
Core Logic
Runs genetic algorithms and multi-objective Pareto optimization across 1,200+ scenarios. Performs Monte Carlo simulations for risk assessment and sensitivity analysis. Requires 1024MB memory for computation-intensive operations.
Compliance Agent
RECs must comply with complex regulatory frameworks including proximity requirements, capacity limits, and benefit distribution rules that vary by jurisdiction.
Core Logic
Validates regulatory compliance against Italian Decree 199/2021 requirements including member proximity within 2km, capacity under 1MW limit, and benefit distribution formulas. Generates permit identification and compliance documentation. Uses Claude 3 Sonnet.
Report Generator Agent
Stakeholders require different report formats: executives need summaries, installers need technical specs, investors need financial models, and regulators need compliance packages.
Core Logic
Generates professional reports tailored to different audiences including PDF executive summaries, Excel financial models, PowerPoint investor presentations, and regulatory compliance packages. Uses template customization with Claude 3 Sonnet.
Quality Assurance Agent
Optimization outputs and financial calculations must be verified for accuracy before presenting to stakeholders to prevent costly errors in investment decisions.
Core Logic
Reviews all outputs through calculation verification, cross-checking against baseline assumptions, and error detection. Uses Claude 3 Opus for high-accuracy validation with 256MB memory.
ESG Analyst Agent
Energy communities need to demonstrate ESG compliance, EU Taxonomy alignment, and SDG contributions for green financing and investor requirements.
Core Logic
Analyzes ESG compliance using scoring algorithms, EU Taxonomy alignment checking, SDG mapping to relevant goals, sustainability reporting, and green bond eligibility assessment. Uses Claude 3.5 Sonnet with 384MB memory.
Market Intelligence Agent
Energy prices fluctuate significantly and optimal REC design depends on accurate price forecasting, arbitrage opportunity identification, and demand response participation.
Core Logic
Provides real-time energy market analysis including price forecasting using ML models, arbitrage detection for battery storage, demand response optimization, and volatility assessment. Uses Claude 3.5 Sonnet with 512MB memory.
Weather & Climate Agent
Solar PV production depends heavily on weather conditions, and long-term climate risks can affect asset performance and financing requirements.
Core Logic
Performs weather forecasting for production estimates, solar irradiance prediction using satellite data, climate risk assessment for asset planning, seasonal analysis for financial projections, and production impact calculations. Uses Claude 3 Haiku.
Smart Grid Agent
RECs interface with the electricity grid and require optimization of load balancing, battery dispatch, and grid services to maximize community benefits.
Core Logic
Manages digital twin simulations of the REC, optimizes load balancing between members, coordinates grid services participation, battery charging/discharging schedules, and energy flow analysis. Uses Claude 3.5 Sonnet with 768MB memory.
Carbon Tracker Agent
RECs generate carbon savings that must be accurately quantified across Scope 1, 2, and 3 emissions for reporting, carbon credit certification, and net-zero pathway planning.
Core Logic
Performs carbon accounting with scope-based emissions tracking, carbon credit management and certification support, net-zero pathway planning with milestone tracking, and intensity benchmarking. Uses Claude 3.5 Sonnet with 320MB memory.
Predictive Analytics Agent
Long-term REC viability depends on accurate forecasting of energy production degradation, financial returns, equipment maintenance needs, and market trends.
Core Logic
Provides ML-based production forecasting with degradation curves, financial projections with sensitivity analysis, predictive maintenance scheduling for PV and battery systems, scenario simulations, and trend analysis. Uses Claude 3 Opus with 1024MB memory.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
4 technologies
Architecture Diagram
System flow visualization