Workshops Archive

CAMEO: A Co-design Architecture for Multi-objective Energy System Optimization

Workshop: WORKS 2025: 20th Workshop on Workflows in Support of Large-Scale Science

Authors: Rounak Meyur, Sam Donald, Tonya Martin, Thiagarajan Ramachandran, and Sumit Purohit (Pacific Northwest National Laboratory (PNNL))

Abstract: Complex energy system co-design optimization requires sophisticated computational workflows that orchestrate multiple interdependent components and scale across high-performance computing environments. Traditional approaches rely on specialized, monolithic solutions that limit reusability and scalability when addressing heterogeneous co-design problems. We introduce CAMEO (Co-design Architecture for Multi-objective Energy System Optimization), a modular workflow management framework that abstracts co-design problems as directed acyclic graphs with standardized input-output interfaces. The framework employs JSON-based specifications enabling systematic decomposition of optimization problems into reusable components like data loaders, scenario generators, and optimization solvers. CAMEO's architecture supports multiple optimization paradigms through containerized execution and seamlessly integrates with high-performance computing via Nextflow orchestration. We demonstrate CAMEO's versatility through three use cases: power grid expansion for data center integration (27 problems), optimal battery design for variable generation (3,200 problems), and distribution network generation for Virginia counties (133 problems), showcasing scalable execution across diverse computing environments.

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