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pro vyhledávání: '"T. Agami Reddy"'
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
The data from which performance models are identified may originate either from planned experiments or from non-intrusive (or observational) data gathered while the system is in normal operation. A large body of well accepted practices is available f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bd107051265efaa821bd130f1e8b894
https://doi.org/10.1007/978-1-4419-9613-8_6
https://doi.org/10.1007/978-1-4419-9613-8_6
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b036c19e93bd9fdca53aaa82b340f908
https://doi.org/10.1007/978-1-4419-9613-8_13
https://doi.org/10.1007/978-1-4419-9613-8_13
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter starts by presenting some basic notions and characteristics of different types of data collection systems and types of sensors. Next, simple ways of validating and assessing the accuracy of the data collected are addressed. Subsequently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29feb2e7dbdb0184dec940d04d672d2e
https://doi.org/10.1007/978-1-4419-9613-8_3
https://doi.org/10.1007/978-1-4419-9613-8_3
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter reviews basic notions of probability (or “stochastic variability”) which is the formal study of the laws of chance, i.e., where the ambiguity in outcome is inherent in the nature of the process itself. Both the primary views of proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89cbda964958b98155f8aa4830f1be3c
https://doi.org/10.1007/978-1-4419-9613-8_2
https://doi.org/10.1007/978-1-4419-9613-8_2
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter covers topics related to estimation of model parameters and to model identification of univariate and multivariate problems not covered in earlier chapters. First, the fundamental notion of estimability of a model is introduced which inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e8bfc5e2c21a92420ff2c796afd6d41
https://doi.org/10.1007/978-1-4419-9613-8_10
https://doi.org/10.1007/978-1-4419-9613-8_10
Autor:
T. Agami Reddy
Publikováno v:
Applied Data Analysis and Modeling for Energy Engineers and Scientists ISBN: 9781441996121
This chapter starts by introducing the benefits of applied data analysis and modeling methods through a case study example pertinent to energy use in buildings. Next, it reviews fundamental notions of mathematical models illustrates them in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7d865886eb3dd4f64c73af722d7387
https://doi.org/10.1007/978-1-4419-9613-8_1
https://doi.org/10.1007/978-1-4419-9613-8_1
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.
From the last two decades, the development of robust automated fault detection and diagnosis (FDD) methods applicable to HVAC&R equipment has been an area of active research, and several papers have been written on this issue. However, the use of the
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
Publikováno v:
Solar Energy.
This paper reports on preliminary experimental results on using nanofluids to enhance the thermal performance of heat pipes. Our experience with preparing copper oxide (CuO) nanofluids is described. Contrary to earlier studies which report infinite s