Optimizing the performance of Ice-storage Systems in Electricity Load Management through a credit mechanism. An analytical work for Jiangsu, China
Abstract
Ice-storage air-conditioning is a technique that uses ice for thermal energy storage. Replacing existing air conditioning systems with ice storage has the advantage of shifting the load from on-peak times to off-peak times that often have excess generation. However, increasing the use of ice-storage faces significant challenges in China. One major barrier is the inefficiency in the current electricity tariff structure. There is a lack of effective incentive mechanism that induces ice-storage systems from achieving optimal load-shifting results. This study presents an analysis that compares the potential impacts of ice-storage systems on load-shifting under a new credit-based incentive scheme and the existing incentive arrangement in Jiangsu, China. The study indicates that by changing how ice-storage systems are incentivized in Jiangsu, load-shifting results can be improved.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Bruce Power, Ontario (Canada)
- Arizona State Univ., Tempe, AZ (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1207938
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Energy Procedia (Online)
- Additional Journal Information:
- Journal Volume: 61; Journal Issue: C; Journal ID: ISSN 1876-6102
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE; ice-storage air-conditioning; thermal energy storage; electricity credit; load management; demand response
Citation Formats
Han, Yafeng, Shen, Bo, Hu, Huajin, and Fan, Fei. Optimizing the performance of Ice-storage Systems in Electricity Load Management through a credit mechanism. An analytical work for Jiangsu, China. United States: N. p., 2015.
Web. doi:10.1016/j.egypro.2014.12.327.
Han, Yafeng, Shen, Bo, Hu, Huajin, & Fan, Fei. Optimizing the performance of Ice-storage Systems in Electricity Load Management through a credit mechanism. An analytical work for Jiangsu, China. United States. https://doi.org/10.1016/j.egypro.2014.12.327
Han, Yafeng, Shen, Bo, Hu, Huajin, and Fan, Fei. 2015.
"Optimizing the performance of Ice-storage Systems in Electricity Load Management through a credit mechanism. An analytical work for Jiangsu, China". United States. https://doi.org/10.1016/j.egypro.2014.12.327. https://www.osti.gov/servlets/purl/1207938.
@article{osti_1207938,
title = {Optimizing the performance of Ice-storage Systems in Electricity Load Management through a credit mechanism. An analytical work for Jiangsu, China},
author = {Han, Yafeng and Shen, Bo and Hu, Huajin and Fan, Fei},
abstractNote = {Ice-storage air-conditioning is a technique that uses ice for thermal energy storage. Replacing existing air conditioning systems with ice storage has the advantage of shifting the load from on-peak times to off-peak times that often have excess generation. However, increasing the use of ice-storage faces significant challenges in China. One major barrier is the inefficiency in the current electricity tariff structure. There is a lack of effective incentive mechanism that induces ice-storage systems from achieving optimal load-shifting results. This study presents an analysis that compares the potential impacts of ice-storage systems on load-shifting under a new credit-based incentive scheme and the existing incentive arrangement in Jiangsu, China. The study indicates that by changing how ice-storage systems are incentivized in Jiangsu, load-shifting results can be improved.},
doi = {10.1016/j.egypro.2014.12.327},
url = {https://www.osti.gov/biblio/1207938},
journal = {Energy Procedia (Online)},
issn = {1876-6102},
number = C,
volume = 61,
place = {United States},
year = {Mon Jan 12 00:00:00 EST 2015},
month = {Mon Jan 12 00:00:00 EST 2015}
}
Web of Science
Works referencing / citing this record:
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journal, January 2016
- Xu, Yongfeng; Li, Ming; Hassanien, Reda Hassanien Emam
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