Can Coskun

Prediction of Daily Average Global Solar Radiation and Parabolic Monthly Irradiation Model Parameters for Turkey

The amount of solar radiation falling on the surface of the earth is a very important data for engineers and scientists to model the solar energy systems and to design and carry out a performance analysis. Solar global radiation values can be estimated practically by employing parabolic monthly irradiation models (PMIMs). Following the establishing of the model parameters, average hourly global solar radiation values per month can be obtained for any given place. In this chapter, PMIM parameters are calculated for 34 cities in Turkey. Also, daily average global solar radiation values are determined by employing the measured data of 70 cities in Turkey and given in a parabolic function. The predictions are compared with the solar data available in literature for Turkey. According to annual average global solar radiation values, Turkey is divided into four regions, and a new comparison factor is introduced and called the global radiation comparison rate. This model can be applied to any specific location, where meteorological data are measured in the world. Thus, the calculation time will be reduced. It is expected that this study will be useful for designers and scientists working on solar energy systems.

New Parameters for Reduction of Heating Based Greenhouse Gas Emissions: A Case Study

In this study, the effect of indoor temperature for heating on reduction of carbon dioxide emissions in Turkey is studied under various conditions. Two new parameters are introduced, namely, carbon dioxide emission reduction effect (CO2 RE) and carbon dioxide emission reduction rate (CO2RR). The potential heating degree-hour values for Turkey are used in conjunction with the potential average outdoor temperature distribution of the country to calculate/arrive at values for the two new parameters. The average outdoor temperature distributions for Turkey are calculated using this approach. In order to estimate the potential average outdoor temperature distributions and the respective heating degree-hour values, the effects of population and outdoor temperature distribution for each city are considered and included here for comparison purposes. The results show that heating-based carbon dioxide emissions may be decreased by 111 % and 5.6 % for 18 °C and 28 °C indoor design temperatures, respectively. It is considered that these two potential parameters may prove valuable tools for local authorities in identifying cities with significant potential for reductions in carbon dioxide emissions caused by residential heating applications.