- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 291 to 300 of 362 (0.008 seconds)| 291 |
The development of a unique algorithm for the solution of HVAC system design optimisation problemsLambert, Geoffrey C. January 1992 (has links)
No description available.
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| 292 |
The design of lighting installations for obstructed interiorsBougdah, Hocine January 1991 (has links)
No description available.
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| 293 |
An investigation of fresh air ventilation requirements for air-conditioned buildings in SingaporeHaque, Mohammed Ansarul January 2000 (has links)
No description available.
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| 294 |
Single and multiple boiler control for efficiencyTank, Prabhulal M. January 1994 (has links)
No description available.
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| 295 |
Dynamic mathematical modelling of refrigeration systems and heat pumpsJames, K. A. January 1988 (has links)
No description available.
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| 296 |
An investigation into improved room air movement and velocity distribution within meat chilling roomsAmraie, Mehdi January 1993 (has links)
No description available.
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| 297 |
An evaluation of computational fluid dynamics for modelling buoyancy-driven displacement ventilationCook, Malcolm J. January 1998 (has links)
No description available.
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| 298 |
Daylight simulation : validation, sky models and daylight coefficientsMardaljevic, John January 1999 (has links)
No description available.
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| 299 |
Factors affecting the environmental performance of a naturally ventilated lecture theatreClancy, Eoin M. January 2000 (has links)
No description available.
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| 300 |
Markov modelling of HVAC systemsDil, Anton J. January 1993 (has links)
Dynamic simulations have been successfully applied to the modelling of building heating, ventilating and air-conditioning (HVAC) plant operation. These simulations are generally driven using time-series data as input. Whilst time-series simulations are effective, they tend to be expensive in terms of computer execution time. A possible method for reducing simulation time is to develop a probabilistic picture of the model, by characterising the model as being in one of several states. By determining the probability for being in each model state, predictions of long-term values of quantities of interest can then be obtained using ensemble averages. This study aims to investigate the applicability of the Markov modelling method for the above stated purpose in the simulation of HVAC systems. In addition, the questions of the degree of accuracy which can be expected, and the amount of time-savings which are possible are investigated. The investigation has found that the Markov modelling technique can be successfully applied to simulations of HVAC systems, but that assumptions commonly made concerning the independence of driving variables may often not be appropriate. An alternative approach to implementing the Markov method, taking into Z): account dependencies between driving variables is suggested, but requires further development to be fully effective. The accuracy of results has been found to be related to the sizes of the partial derivatives of the calculated quantity with respect to each of the variables on which it depends, the sizes of the variables' ranges, and the number of states assigned to each variable in developing the probabilistic picture of the model's state. A deterministic error bound for results from Markov simulations is also developed, based on these findings.
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