A flexibility-integrated dual-layer multi-objective optimization framework for building air conditioning systems

doi:10.1016/j.applthermaleng.2025.127487

A flexibility-integrated dual-layer multi-objective optimization framework for building air conditioning systems

2025-07-11

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DOI：10.1016/j.applthermaleng.2025.127487

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• A dual-layer model coordinates day-ahead and daytime scheduling of AC systems. • Flexibility is considered in a multi-objective Entropy-TOPSIS decision-making method. • Quantification indicators are proposed for demand response measures of AC systems. • AES control strategy shows the highest power flexibility, followed by TR, then PES.

Keywords:

dual-layer model

demand response

power flexibility

Entropy-TOPSIS

AC systems

A flexibility-integrated dual-layer multi-objective optimization framework for building air conditioning systems

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