Enhanced Operation of Ice Storage System for Peak Load Management in Shopping Malls across Diverse Climate Zones

Fanghan Su, Zhiyuan Wang, Yue Yuan, Chengcheng Song, Kejun Zeng, Yixing Chen () and Rongpeng Zhang ()
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Fanghan Su: College of Civil Engineering, Hunan University, Changsha 410082, China
Zhiyuan Wang: College of Civil Engineering, Hunan University, Changsha 410082, China
Yue Yuan: College of Civil Engineering, Hunan University, Changsha 410082, China
Chengcheng Song: College of Civil Engineering, Hunan University, Changsha 410082, China
Kejun Zeng: College of Civil Engineering, Hunan University, Changsha 410082, China
Yixing Chen: College of Civil Engineering, Hunan University, Changsha 410082, China
Rongpeng Zhang: Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education, Hunan University, Changsha 410082, China

Sustainability, 2023, vol. 15, issue 20, 1-23

Abstract: There exists a notable research gap concerning the application of ice storage systems in shopping mall settings at the urban scale. The characteristics of large pedestrian flow, high energy consumption, and high peak loads in shopping malls make their advantages in energy conservation. This study researches sustainable cooling solutions by undertaking an economic analysis of the ice storage systems within shopping malls across 11 distinct cities, each system operating under varied electricity pricing frameworks. The methodology begins with creating baseline mall models using AutoBPS and refining them with OpenStudio. Before starting to adjust the model, measured data were used to verify the accuracy of the baseline model, the coefficient of variation of the root mean square error (CVRMSE) and normalized mean bias error (NMBE) metrics were calculated for the model energy consumption, with CVRMSE values of 8.6% and NMBE values of 1.57% for the electricity consumption, while the metrics for the gas consumption were 12.9% and 1.24%, respectively. The study extends its inquiry to encompass comprehensive economic evaluations based on the unique electricity pricing of each city. This rigorous assessment discerns the relationship between capacity, operational strategies, and economic performance. Particularly striking are the so-called peak-shaving and valley-filling effects verified in regions characterized by lower latitudes and substantial cooling loads. The interaction between ice storage capacity and operational schedules significantly influences both economic viability and cooling efficiency. Based on the temporal dynamics of time-of-use (TOU) power pricing, a finely calibrated operational schedule for the ice storage system is proposed. This operational strategy entails charging during periods of reduced electricity pricing to undertake cooling loads during peak electricity pricing intervals, culminating in substantial reductions in electricity charges of buildings. Moreover, the strategic reallocation of energy, characterized by a reduced chiller capacity and a corresponding elevation in ice storage system capacity, augments cooling efficiency and diminishes cooling-related electricity expenses. This study offers valuable insights for optimizing and deploying ice storage systems in diverse climatic regions, particularly for shopping malls. As a guiding reference, this paper provides stakeholders with a framework to reasonably apply and adjust ice storage systems, ushering in an era of energy-efficient and environmentally conscious cooling solutions tailored to shopping mall environments.

Keywords: ice storage system; shopping malls; system operation; scheme optimization; peak shaving; building simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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