Energy Saving in Building Air-Conditioning Systems Based on Hippopotamus Optimization Algorithm for Optimizing Cooling Water Temperature DOI Creative Commons
Yu Zheng,

Yaping Gao,

Jianwen Gao

и другие.

Energies, Год журнала: 2025, Номер 18(10), С. 2476 - 2476

Опубликована: Май 12, 2025

When traditional HVAC (heating, ventilation, and air-conditioning) systems are in operation, they often run according to the designed operating conditions. In fact, operate under part-load conditions for more than 90% of time, resulting energy waste. Therefore, studying optimization regulation their during operation is necessary. Given that control set point cooling tower outlet water temperature differentially impacts chiller consumption system this parameter becomes essential. study focuses on optimizing central air-conditioning systems. We propose Hippopotamus Optimization Algorithm (HOA), a novel population-based approach, optimize points minimization. This achieved through coupled computational methodology integrating building envelope dynamics with performance. The was analyzed varying points, differences between three strategies were compared. results showed HOA strategy successfully identifies an optimized point, achieving lowest combined both tower. performance better compared other algorithms process. fitness value minimal, function converges after five iterations completes single time step when MATLAB only 1.96 s. Compared conventional non-optimized conditions, yields significant savings: peak daily savings reach 4.5%, average total reduction 3.2%. conclusion, paper takes full account mutual coupling system, providing feasible method simulation system.

Язык: Английский

Energy Saving in Building Air-Conditioning Systems Based on Hippopotamus Optimization Algorithm for Optimizing Cooling Water Temperature DOI Creative Commons
Yu Zheng,

Yaping Gao,

Jianwen Gao

и другие.

Energies, Год журнала: 2025, Номер 18(10), С. 2476 - 2476

Опубликована: Май 12, 2025

When traditional HVAC (heating, ventilation, and air-conditioning) systems are in operation, they often run according to the designed operating conditions. In fact, operate under part-load conditions for more than 90% of time, resulting energy waste. Therefore, studying optimization regulation their during operation is necessary. Given that control set point cooling tower outlet water temperature differentially impacts chiller consumption system this parameter becomes essential. study focuses on optimizing central air-conditioning systems. We propose Hippopotamus Optimization Algorithm (HOA), a novel population-based approach, optimize points minimization. This achieved through coupled computational methodology integrating building envelope dynamics with performance. The was analyzed varying points, differences between three strategies were compared. results showed HOA strategy successfully identifies an optimized point, achieving lowest combined both tower. performance better compared other algorithms process. fitness value minimal, function converges after five iterations completes single time step when MATLAB only 1.96 s. Compared conventional non-optimized conditions, yields significant savings: peak daily savings reach 4.5%, average total reduction 3.2%. conclusion, paper takes full account mutual coupling system, providing feasible method simulation system.

Язык: Английский

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