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The full Low-carbon Expansion Generation Optimization (LEGO) model.

Sonja Wogrin, Diego A Tejada-Arango, Udo Bachhiesl

|February 8, 2022

Summary

The Low-carbon Expansion Generation Optimization (LEGO) model is a flexible, modular tool for energy sector analysis. It enables diverse studies from unit commitment to expansion planning, offering valuable insights for researchers.

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Area of Science:

Energy Systems Modeling
Optimization Theory
Computational Economics

Background:

The energy sector requires versatile tools for analyzing complex low-carbon expansion scenarios.
Existing models often lack the flexibility to address diverse research questions across different time scales.

Approach:

Introduction of the Low-carbon Expansion Generation Optimization (LEGO) model, a freely available, open-source tool.
LEGO is a mixed-integer quadratically constrained optimization problem designed for modularity and flexibility.
The model supports various temporal structures (e.g., chronological, representative periods) and includes optional modules for specific analyses.

Key Points:

LEGO integrates unit commitment, DC/AC optimal power flow, battery degradation, inertia constraints, demand-side management, and hydrogen sector modules.
Its unique temporal structure and modular design allow for adaptable application to short-term and long-term energy planning.
The model provides extensive primal and dual outputs for comprehensive technical and economic assessments.

Conclusions:

LEGO offers an unprecedented combination of features for energy system research, addressing a gap in current modeling capabilities.
Its open-source availability democratizes advanced energy system analysis for the scientific community.
The model's flexibility and comprehensive outputs facilitate in-depth study of low-carbon energy transitions.