EconPapers    
Economics at your fingertips  
 

Optimal Energy Reduction Schedules for Ice Storage Air-Conditioning Systems

Whei-Min Lin, Chia-Sheng Tu, Ming-Tang Tsai and Chi-Chun Lo
Additional contact information
Whei-Min Lin: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80724, Taiwan
Chia-Sheng Tu: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80724, Taiwan
Ming-Tang Tsai: Department of Electrical Engineering, Cheng-Shiu University, Kaohsiung 83342, Taiwan
Chi-Chun Lo: Department of Engineering and Maintenance, ChangCung Memorial Hospital, Kaohsiung 83341, Taiwan

Energies, 2015, vol. 8, issue 9, 1-18

Abstract: This paper proposes a hybrid algorithm to solve the optimal energy dispatch of an ice storage air-conditioning system. Based on a real air-conditioning system, the data, including the return temperature of chilled water, the supply temperature of chilled water, the return temperature of ice storage water, and the supply temperature of ice storage water, are measured. The least-squares regression (LSR) is used to obtain the input-output (I/O) curve for the cooling load and power consumption of chillers and ice storage tank. The objective is to minimize overall cost in a daily schedule while satisfying all constraints, including cooling loading under the time-of-use (TOU) rate. Based on the Radial Basis Function Network (RBFN) and Ant Colony Optimization, an Ant-Based Radial Basis Function Network (ARBFN) is constructed in the searching process. Simulation results indicate that reasonable solutions provide a practical and flexible framework allowing the economic dispatch of ice storage air-conditioning systems, and offering greater energy efficiency in dispatching chillers.

Keywords: ice storage air-conditioning system; radial basis function network; ant colony optimization; chiller; economic dispatch (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1996-1073/8/9/10504/pdf (application/pdf)
https://www.mdpi.com/1996-1073/8/9/10504/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:9:p:10504-10521:d:56183

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:10504-10521:d:56183