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Progressive decline in world energy resources, rising costs, on behalf of the various studies has led businesses to use energy resources efficiently. This work is at the top of the exergy analysis. In this study, using data from Eregli Sugar Factory 2010–2011 campaign year for sugar production processes, the first law of thermodynamics (energy analysis) and analysis of these condlaw (exergy analysis) were conducted. Depending on there sults of this analysis of the sugar production process yields the first and these cond law is calculated. Obtained in the light of the secalculation stoin crease theen ergy efficiency of the plant, was tetoprovide energy to gainth embackand give direction to the development of new technologies Eregli Sugar Factory recommendations were made.

A recent study conducted to determine the potential of wind power in Nigde which used 35 year wind data, has shown that global warming may also affect the potential of wind power negatively. The wind data were collected on 10 min time intervals at 10 m mast height. The missing data were 3.9%. When the results are closely examined it is observed that the potential of wind power has decreased dramatically throughout the years. The 35 yearly data has shown a decrease of wind power density from 48.14 W/m² to 13.25 W/m². These results are of extreme importance because of various reasons given below.

The first problem we may see is that it is possible to observe an area which was once regarded as a highly suitable region for wind energy generation is now not as sustainable as it was assumed to be. Thus it may stand as a hidden but great risk for certain wind farm investments. Therefore, the calculation of wind power potential is a really serious matter to deal with. Moreover, if the loss of the wind power potential is observed consistently and continually as a result of global warming, the only reasonable solution to this problem may be the relocation of the whole power-plant.

Knowledge of the local solar radiation is important for many applications of solar energy systems. The global solar radiation on horizontal surface at the location of interest is the most critical input parameter employed in the design and prediction of the performance of solar energy systems. In this study, 3 empirical sunshine based models are compared correlating the monthly mean daily global solar radiation on a horizontal surface with monthly mean sunshine records for Nigde, Turkey. Models are compared using coefficient of determination (R²), the root mean square error (RMSE), the mean bias error (MBE) and the t-statistic. According to our results, all the models fitted the data adequately and can be used to estimate the specific monthly global solar radiation. The t-statistic was used as the best indicator; this indicator depends on both, and is more effective for determining the model performance. The agreement between the estimated and the measured data were remarkable and the method was recommended for use in Nigde, Turkey.