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pro vyhledávání: '"T. Agami Reddy"'
Publikováno v:
Heating and Cooling of Buildings ISBN: 9781315374567
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::184326f3733ef8d12fb3e33ad8149faa
https://doi.org/10.1201/9781315374567-14
https://doi.org/10.1201/9781315374567-14
Autor:
Vivek Ramesh, T. Agami Reddy
Publikováno v:
Volume 6A: Energy.
This paper reports on the results of analyzing yearlong monitored 15 min data from the cooling plant of a large university campus consisting of multiple chillers and multiple chilled water Thermal Energy Storage (TES) tanks. The objective of the anal
Autor:
T. Agami Reddy
Publikováno v:
HVAC&R Research. 13:711-729
A previous paper (Reddy 2007) suggested a generic approach for evaluating the performance of fault detection and diagnosis (FDD) methods and proposed general expressions normalized to an ideal FDD method. These expressions were then tailored to large
Autor:
T. Agami Reddy, Yongzhong Jia
Publikováno v:
Journal of Solar Energy Engineering. 127:47-52
Capacity control in most commercial centrifugal chillers is achieved by inlet guide vanes, which are activated by the leaving chilled water temperature sensor. Due to mechanical reasons, vane control is done discretely, and not continuously. The cont
Publikováno v:
HVAC&R Research. 9:365-384
Monitoring and verification (M&V) of energy savings in installed systems as well as non-intrusive automated model-based fault detection and diagnosis (FDD) of HVAC&R systems both rely on the ability to identify model parameter estimates from monitore
Publikováno v:
HVAC&R Research. 9:385-414
This paper presents the research results of comparing the suitability of four different chiller performance models to be used for on-line automated fault detection and diagnosis (FDD) of vapor-compression chillers. The models were limited to steady-s
Autor:
Yongzhong Jia, T. Agami Reddy
Publikováno v:
Journal of Solar Energy Engineering. 125:258-265
Model-based fault detection and diagnosis approaches based on statistical models for fault-free performance concurrently require a fault classifier database for diagnosis. On the other hand, a model with physical parameters would directly provide suc
Autor:
T. Agami Reddy, Itzhak Maor
Publikováno v:
ASME 2009 3rd International Conference on Energy Sustainability, Volume 2.
There is increasing interest in using Combined Heat and Power (CHP) systems to supply the energy needs in commercial/institutional buildings. However, due to the large diurnal and seasonal variability in building thermal and electric loads, such syst
Autor:
T. Agami Reddy
Publikováno v:
ASME 2008 2nd International Conference on Energy Sustainability, Volume 1.
Research has been ongoing during the last several years on developing robust automated fault detecting and diagnosing (FDD) methods applicable for process faults in chillers used in commercial buildings. These FDD methods involve using sensor data fr
Autor:
Yongzhong Jia, T. Agami Reddy
Publikováno v:
Advanced Energy Systems.
Model-based fault detection and diagnosis approaches based on statistical models for fault-free performance concurrently require a fault classifier database for diagnosis. On the other hand, a model with physical parameters would directly provide suc