Showing papers by "Soteris A. Kalogirou published in 2005"
TL;DR: In this article, the authors present a review of various systems that use renewable energy sources for desalination, including solar collectors, photovoltaics, solar ponds and geothermal energy.
949 citations
TL;DR: In this article, a solar cooling system that has been designed for Malaysia and similar tropical regions using evacuated tube solar collectors and LiBr absorption unit is carried out with TRNSYS program, the typical meteorological year file containing the weather parameters for Malaysia is used to simulate the system.
272 citations
TL;DR: In this article, an energy analysis of a single-effect lithium bromide/water absorption system for cooling and heating applications is presented, and a simulation program is written and used for the determination of the coefficient of performance (COP) and exergetic efficiency of the absorption system under different operating conditions.
187 citations
TL;DR: In this paper, a new approach using artificial neural networks (ANN) to determine the thermodynamic properties of two alternative refrigerant/absorbent couples (LiCl−H2O and LiBr−LiNO3+LiI+LiCl+H 2O) was presented, which can be used in absorption heat pump systems.
69 citations
01 Jan 2005
TL;DR: In this paper, a 50m deep U-tube in the ground equipped with thermocouples at various depths was installed to study the fluctuations of the ground temperature with depth, and the measured temperatures indicated that the short-period temperature variations are prominent to a depth of approximately 0.5 m.
Abstract: The earth temperature beyond a depth of 1 meter is usually insensitive to the diurnal cycle of air temperature and solar radiation and the annual fluctuation of the earth temperature extends to a depth of about 10 meters. In order to study the fluctuations of the ground temperature with depth we have installed a 50m deep U-tube in the ground equipped with thermocouples at various depths. The measured temperatures indicate that the short-period temperature variations are prominent to a depth of approximately 0.5 m. Because of the high thermal inertia of the soil, the temperature fluctuations at the surface of the ground are diminished as the depth of the ground increases. The annual temperature variation of the ground at a depth of 3m is between 15 to 25°C while at a depth of 25m is negligible and the temperature remains constant at about 22°C. The temperature measurements are compared to the calculated values resulting from simulations performed with TRNSYS.
64 citations
TL;DR: In this paper, applications of solar collectors with colored absorbers in a large hot water system suitable for multi-flat residential or office buildings, a house heating system, and an industrial process heat system are presented.
44 citations
TL;DR: The objective of this work is to use artificial intelligence methods for the optimal design of solar energy systems by optimisation of a large hot water system, using the lifecycle savings of the system as the optimisation parameter.
Abstract: The objective of this work is to use artificial intelligence methods for the optimal design of solar energy systems. The lifecycle savings of the system is used as the optimisation parameter. The variable parameters in this optimisation are the collector area, slope and mass flow rate and the volume of the storage tank. An artificial neural network is trained, using the results of a small number of simulations carried out with TRNSYS program, to learn the correlation of the above variable parameters on the auxiliary energy required by the system from which the lifecycle savings can be estimated. Subsequently, a genetic algorithm is employed to estimate the optimum size of the variable parameters, which maximises lifecycle savings. As an example, the optimisation of a large hot water system is presented. The optimum solution obtained from the present methodology is achieved very quickly as compared to the time required to obtain the same solution by the traditional trial and error method, which would require thousands of runs of TRNSYS to cover all possible combinations considered by the genetic algorithm.
7 citations