4.7 Article

Optimal chiller loading in dual-temperature chilled water plants for energy saving

Journal

ENERGY AND BUILDINGS
Volume 252, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2021.111425

Keywords

Building energy; Dual-temperature chilled water plant; Optimal control; Optimal chiller loading

Funding

  1. China National Key Research and Development Program [2018YFC0705203]
  2. Tianjin Science and Technology Commission [18Z-XAQSF00070]
  3. China Scholarship Council [201806250235]

Ask authors/readers for more resources

Buildings consume nearly 40% of global energy, and optimizing the operation of chiller plants can save energy. This paper proposes two control strategies for dual-temperature chilled water plants and achieved energy savings.
Buildings account for almost 40% of global energy consumption. Due to the high energy consumption of chilled water plants, various studies have optimized chiller loading in plants with multiple chillers for energy conservation. However, few studies have optimized dual-temperature chiller plants, even though better energy efficiency could be achieved than that of typical single-temperature chiller plants. This paper proposes two optimal control strategies for dual-temperature chilled water plants, strategy B and strategy C. Strategy B optimizes the cooling load distribution of the chillers in each group by adjust-ing the cooling load ratio of each chiller. Under this strategy, the energy consumption of the chiller plant for the entire cooling season was reduced by 10.1%. Meanwhile, strategy C optimizes the cooling load dis-tribution among chillers in the same chiller group and between two chiller groups, by simultaneously adjusting the temperature setpoint of the air leaving the primary cooling coils and the partial load ratio of each chiller. By considering both the impact of the chilled water loop and the air handling process, strategy C achieved greater energy saving (16.4%) for the entire cooling season. In hot summer months, the energy savings arise mainly from optimization of the cooling load distribution among chillers in each chiller group, as this optimization accounts for 63-68% of the total savings. In moderate months, optimiz-ing the cooling load distribution among chillers in the same group and optimizing the distribution between two chiller groups account for nearly the same proportion of the total energy savings. (c) 2021 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available