2025/12/18 by Manuel R. Arahal, Arahal, Manuel R., Manuel G. Satué +3 · 1 citation
Engineering · #Building Energy and Comfort Optimization #FOS: Electrical engineering #Process Optimization and Integration #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · doi:10.48550/arxiv.2512.16356
openalex publication_date 2025/12/18 · openalex created_date 2025/12/21 · openalex updated_date 2026/07/28
Scheduling and loading of chillers in a multi-chiller plant is considered. A new framework is introduced considering an extended set of independent variables for the optimization problem of energy consumption. In this way the number of decision variables is increased, providing extra degrees of freedom to optimize cooling plant operation. The dynamic effects due to transients arising from switching on and off of units are usually not considered in the literature dealing with Optimal Chiller Loading/Sequencing which is restricted to the static case. In this paper, these effects are treated in a way that results in a manageable optimization problem. A Simultaneous Perturbation Stochastic Approximation solution is deployed for the problem and the proposed method is compared with a similar but static approach showing the benefits in terms of reduced energy consumption.