Next Article in Journal
A Review of Modeling Bioelectrochemical Systems: Engineering and Statistical Aspects
Previous Article in Journal
Feasibility Assessment of Using Power Plant Waste Heat in Large Scale Horticulture Facility Energy Supply Systems
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Energies 2016, 9(2), 113; doi:10.3390/en9020113

Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study

1,2,†
,
1,†
and
3,*
1
Institute of Electrical and Control Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
2
Department of Engineering and Maintenance, Chang Gung Memorial Hospital, Kaosiung 83301, Taiwan
3
Institute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, Taiwan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Susan Krumdieck
Received: 13 November 2015 / Revised: 28 January 2016 / Accepted: 28 January 2016 / Published: 18 February 2016
View Full-Text   |   Download PDF [2426 KB, uploaded 18 February 2016]   |  

Abstract

This paper presents an optimal dispatch model of an ice storage air-conditioning system for participants to quickly and accurately perform energy saving and demand response, and to avoid the over contact with electricity price peak. The schedule planning for an ice storage air-conditioning system of demand response is mainly to transfer energy consumption from the peak load to the partial-peak or off-peak load. Least Squares Regression (LSR) is used to obtain the polynomial function for the cooling capacity and the cost of power consumption with a real ice storage air-conditioning system. Based on the dynamic electricity pricing, the requirements of cooling loads, and all technical constraints, the dispatch model of the ice-storage air-conditioning system is formulated to minimize the operation cost. The Improved Ripple Bee Swarm Optimization (IRBSO) algorithm is proposed to solve the dispatch model of the ice storage air-conditioning system in a daily schedule on summer. Simulation results indicate that reasonable solutions provide a practical and flexible framework allowing the demand response of ice storage air-conditioning systems to demonstrate the optimization of its energy savings and operational efficiency and offering greater energy efficiency. View Full-Text
Keywords: ice storage system; air-conditioning system; dynamic electricity price; demand response; bee swarm optimization ice storage system; air-conditioning system; dynamic electricity price; demand response; bee swarm optimization
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lo, C.-C.; Tsai, S.-H.; Lin, B.-S. Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study. Energies 2016, 9, 113.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top