Field-measured performance of four full-scale cylindrical stratified chilled-water thermal storage tanks
Results are presented for controlled flow rate tests in four full-scale cylindrical chilled-water storage tanks. The tanks range in volume from 1.15 to 5.18 million gallons (4.35 to 19.61 million liters) and have water depths of 40 to 65 ft (12.2 to 19.8 m). Water is introduced into and withdrawn from two of these tanks using radial parallel plate diffusers, while the remaining two tanks utilize octagonal slotted pipe diffuser designs. Thermal performance is quantified for full cycles in terms of Figure of Merit, for single charge and discharge processes as half-cycle Figure of Merit, and for incomplete charge and discharge processes as Lost Capacity. Results show that the thermal performance of all four tanks is excellent, with less than 4% of theoretical cooling capacity lost to inlet mixing and other degradation mechanisms for flow rates less than or equal to design. Based on these results, the appropriateness of current design guidance is discussed. Operational issues that affect implementation of controlled flow rate full-scale tests are also identified, and measurement issues are addressed.
- Research Organization:
- National Inst. of Standards and Technology, Gaithersburg, MD (US)
- OSTI ID:
- 20085618
- Resource Relation:
- Conference: ASHRAE Annual Meeting, Seattle, WA (US), 06/18/1999--06/23/1999; Other Information: PBD: 1999; Related Information: In: ASHRAE Transactions: Technical and symposium papers presented at the 1999 annual meeting in Seattle, Washington of the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.; Volume 105, Part 2, by Geshwiler, M.; Harrell, D.; Roberson, T. [eds.], 1360 pages.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Evolution of temperature distributions in a full-scale stratified chilled-water storage tank with radial diffusers
Identification of mixing effects in stratified chilled-water storage tanks by analysis of time series temperature data