The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Modeling Partial Charging and Discharging of Area-Constrained Ice Storage Tanks
Abstract
Although several models have been developed and validated for predicting the performance of indirect, area-constrained, ice-on-pipe storage tanks, none have fully considered operation involving partial charging or discharging. In this case, multiple layers of ice and water may coexist around the heat exchanger tubes. This paper presents two models for predicting the behavior of tanks with partial charging and discharging processes. One model is based upon physical principles and is useful for studying design and control issues through simulation. The second model involves the use of an empirical correlation and is useful for simulating an existing design or could be appropriate for on-line control. Both models were validated using experimental results for a range of charging and discharging scenarios.
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In the citing paper
“For instance, consecutive days with high nighttime outdoor temperatures deteriorate the cooling capacity of TES systems significantly [165].”
From Resilient cooling strategies – A critical review and qualitative assessment (2021) · cites this paper as [165]
In the citing paper
“Kuczyn ´ski & Staszczuk [166] indicated that the cooling effect and efficiency of increased thermal mass do not change during the heatwaves and remain independent of the duration and distribution of heatwaves.”
From Resilient cooling strategies – A critical review and qualitative assessment (2021) · cites this paper as [166]
In the citing paper
“TES cooling performance under extreme conditions is highly sensitive to the temperature gradient between cyclic cold (e.g., night) and warm (e.g., day) periods.”
From Resilient cooling strategies – A critical review and qualitative assessment (2021) · cites this paper as [165]
Citations
Cites
Development and Evaluation of a Rule-Based Control Strategy for Ice Storage Systems
Drees, K. H., & Braun, J. E. (1996) · Science and Technology for the Built Environment · doi:10.1080/10789669.1996.10391352 · Cited by 61
Self-citationModeling of Area-Constrained Ice Storage Tanks
Drees, K. H., & Braun, J. E. (1995) · Science and Technology for the Built Environment · doi:10.1080/10789669.1995.10391315 · Cited by 38
Self-citationDeterministic model for an internal melt ice-on-coil thermal storage tank
Neto, J. H. M., & Krarti, M. (1997) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 20
Development of direct and indirect ice-storage models for energy analysis calculations
Strand, R. K., PEDERSEN, C. O., & Coleman, G. N. (1994) · ASHRAE winter conference papers · Cited by 16
Experimental validation of a numerical model for an internal melt ice-on-coil thermal storage tank
Neto, J. H. M., & Krarti, M. (1997) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 13
Validation of the algorithm for ice-on-pipe brine thermal storage systems
Nelson, D. J., Vick, B., & Yu, X. (1996) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 10
Research works printed but not linked: 3
- Jekel , T. B. , Mitchell , J. W. and Klein , S. A. 1993 . Modeling of Ice Storage Tanks . ASHRAE Transactions , 99 ( 1 ) : 1016 – 1023 .
- Vick , B. , Nelson , D. J. and Yu , X. 1996 . Model of an Ice-on-Pipe Brine Thermal Storage Component . ASH-RAE Transactions , 102 ( 1 ) : 45 – 54 .
- West , J. D. 1997 . Evaluation of Methods for Controlling Ice Storage Systems , M.S. thesis W. Lafayette, IN : Purdue University. .
Cited by
Sorted by citations
Review of building energy modeling for control and operation
Li, X., & Wen, J. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.05.056 · Cited by 632
Resilient cooling strategies – A critical review and qualitative assessment
Zhang, C., Kazanci, O. B., Levinson, R., Heiselberg, P., Olesen, B. W., Chiesa, G., Sodagar, B., Ai, Z., Selkowitz, S., Zinzi, M., et al. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111312 · Cited by 180
Model-based predictive control of an ice storage device in a building cooling system
Candanedo, J. A., Dehkordi, V. R., & Stylianou, M. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.05.081 · Cited by 142
Economic feasibility of thermal energy storage systems
Habeebullah, B. A. (2006) · Energy and Buildings · doi:10.1016/j.enbuild.2006.07.006 · Cited by 94
Olsthoorn, D., Haghighat, F., Moreau, A., & Lacroix, G. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.03.029 · Cited by 83
Metadata
- Authors
- West, J., & Braun, J. E.
- Affiliations
- Johnson Controls (United States) (US)
- Purdue University West Lafayette (US)
- Venue
- HVAC&R Research
- Publisher
- Informa UK Limited
- Published
- 1999-07
- Volume
- 5
- Issue
- 3
- Pages
- 209-228
- ISSN
- 1078-9669 (ISSN-L)
- 1938-5587
- OpenAlex
- W2038978788
- Cited by
- 33
- References
- 6
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 3 · 2014: 1 · 2013: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science and Technology for the Built Environment (publishedVersion)
- Funders
- Electric Power Research Institute
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Phase Change Materials Research
- Physical Sciences › Engineering › Mechanical Engineering › Adsorption and Cooling Systems
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Keywords
- ice storage tank, partial charging, empirical correlations, thermal energy storage, online control
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