


[](LICENSE)
[](https://python.org)
[](https://developer.nvidia.com/cuda-zone)
[](https://nature.com/articles)
[](#roadmap)
π― Mission: Creating the worldβs first comprehensive, open-source benchmarking platform for Home Energy Management Systems (HEMS), enabling transparent comparison and optimization of distributed energy resources across global markets.
π Market Context & Opportunity
The distributed energy resources market is experiencing unprecedented growth, creating urgent need for standardized evaluation frameworks.
π Explosive Market Growth
Key Market Drivers:
- Solar PV: Projected to be the largest renewable source by 2030 (~80% of capacity growth) [IEA]

- Residential BESS: Growing from 3 GWh (2020) to 122 GWh (2030) in Europe alone [McKinsey & Company]

- Investment Surge: Falling costs + rising electricity prices + government incentives
π The Three Challenge
Current HEMS evaluation suffers from fragmentation across three distinct domains:

ποΈ Framework Architecture
π Complete Lifecycle Optimization
Our platform addresses the entire DER lifecycle through three integrated optimization phases:
Phase |
Time Horizon |
Key Decisions |
Optimization Focus |
π Location & Sizing |
1-15 years |
Installation location, capacity |
Cost reduction, backup power |
π HEMS Evaluation |
1 day |
Charging/discharging behavior |
Self-consumption, comfort |
β‘ Grid Support |
1 year |
VPP capacity allocation |
Additional revenue streams |
π€ Systematic Modeling Framework

Advanced Capabilities:
- π― Uncertainty Quantification: PV generation, load forecasting, price volatility
- π§ AI Integration: Machine learning-based optimization algorithms
- π Multi-Objective: Cost, reliability, comfort, environmental impact
- β‘ Real-Time Control: Adaptive strategies for dynamic conditions
π Preliminary Results
πΊπΈ United States
Comprehensive evaluation across all US counties with complete utility mapping and policy scenario analysis.
Non-Export Setting

NEM Setting

π©πͺ Germany

πΊπΈ Time-of-Use (US Case)
Configuration: 10kWp PV + 10kWh ESS + TOU

π¬π§ Dynamic Tariff (UK Case)
Configuration: 10kWp PV + 20kWh ESS + Octopus Dynamic Tariff

π©πͺ Dynamic Tariff (Germany Case)
Configuration: 10kWp PV + 10kWh ESS + Dynamic Tariff


Our platform provides seamless integration through five key stages:
- π Benchmark Topology: System configuration definition
- βοΈ Benchmark Configuration: Parameter optimization setup
- π Predicted Data: Day-ahead forecasting integration
- π§ HEMS Algorithms: Multi-algorithm testing framework
- π Ranking & Analysis: Performance evaluation and comparison
π Topology

π Configuration

π HMES Algorithms Comparison

Supported Algorithms:
- Baseline: Grid-only, Grid+PV, Self-consumption
- Advanced: AI-TOU, Battery health-aware, MPC, Robust-X
Sensitivity Analysis:

- PV capacity optimization
- ESS capacity optimization
- Load consumption scaling
- Grid export limit configuration
π HEMS Ranking (illustration)


π¬ PhyLFlex HEMS Benchmarking Suite

π Three-Tier Validation Strategy
Benchmark Type |
Question |
Focus |
Validation Method |
π¬ Research |
What could be possible? |
Algorithms & forecasts |
Laboratory emulation |
βοΈ Regulatory |
What should be possible? |
Compliance & grid stability |
iMSys integration |
π Real-World |
What is currently possible? |
Interoperability & claims |
Field demonstrations |
The research benchmark

The iMySys benchmark

The real-world benchmark

πΊοΈ Roadmap & Collaboration

π License & Legal
This project is licensed under the MIT License - see the LICENSE file for details.
## π Ready to Transform Energy Management?
**Join the global movement toward transparent, standardized HEMS benchmarking!**
[](#quick-start-guide)
[](https://demo.hemsbenchmark.org)
[](https://discord.gg/hemsbenchmark)
**π Explore, Contribute, and Innovate with HEMS Benchmarking!**
Last updated: September 2025