CAMEO:A Co-design Architecture for Multi-objective Energy System Optimization
Rounak Meyur, Tonya Martin, Sumit Purohit

TL;DR
CAMEO introduces a modular, automated co-design architecture that enhances multi-objective energy system optimization by improving scalability, usability, and exploration efficiency for complex, interconnected energy systems.
Contribution
The paper presents CAMEO, a novel cloud-based co-design architecture that streamlines multi-objective energy system optimization through automation and flexible workflow management.
Findings
Enables efficient exploration of diverse energy system designs.
Improves scalability and usability for complex system modeling.
Accelerates design validation cycles.
Abstract
Co-design plays a pivotal role in energy system planning as it allows for the holistic optimization of interconnected components, fostering efficiency, resilience, and sustainability by addressing complex interdependencies and trade-offs within the system. This leads to reduced operational costs and improved financial performance through optimized system design, resource allocation, and system-wide synergies. In addition, system planners must consider multiple probable scenarios to plan for potential variations in operating conditions, uncertainties, and future demands, ensuring robust and adaptable solutions that can effectively address the needs and challenges of various systems. This research introduces Co-design Architecture for Multi-objective Energy System Optimization (CAMEO), which facilitates design space exploration of the co-design problem via a modular and automated workflow…
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Taxonomy
TopicsIntegrated Energy Systems Optimization · Process Optimization and Integration
