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Can Ertekin

Bio: Can Ertekin is an academic researcher from Akdeniz University. The author has contributed to research in topics: Exergy & Airflow. The author has an hindex of 22, co-authored 72 publications receiving 3103 citations. Previous affiliations of Can Ertekin include General Directorate of Mineral Research and Exploration & United States Department of Agriculture.


Papers
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Journal ArticleDOI
TL;DR: In this article, the effects of drying air temperature and velocity on the model constants and coefficients were evaluated by a multiple regression technique, and the results showed that, increasing the drying air temperatures and velocities causes shorter drying times.

697 citations

Journal ArticleDOI
01 May 2001-Energy
TL;DR: In this article, an indirect forced convection solar dryer consisting of a solar air heater and a drying cabinet was used in the experiments for Sultana grapes (cv. Thompson seedless) grown in Antalya, Turkey.

631 citations

Journal ArticleDOI
TL;DR: In this paper, a laboratory dryer was used for thin layer apple drying process and moisture ratio at any drying time were compared by Newton, Page, Modified Page, Henderson and Pabis.

219 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared three different types of flat-plate solar air heaters, two having fins (Type II and Type III) and the other without fin (Type I), one of the heater with a fin had single glass cover (Type III), and the others had double glass covers (type I and Type II).

212 citations

Journal ArticleDOI
TL;DR: This study gives a comprehensive review of more than 100 different semitheoretical and empirical thin-layer drying models used in agricultural products and evaluates the statistical criteria for the determination of appropriate model.
Abstract: Drying is one of the widely used methods of grain, fruit, and vegetable preservation. The important aim of drying is to reduce the moisture content and thereby increase the lifetime of products by limiting enzymatic and oxidative degradation. In addition, by reducing the amount of water, drying reduces the crop losses, improves the quality of dried products, and facilitates its transportation, handling, and storage requirements. Drying is a process comprising simultaneous heat and mass transfer within the material, and between the surface of the material and the surrounding media. Many models have been used to describe the drying process for different agricultural products. These models are used to estimate drying time of several products under different drying conditions, and how to increase the drying process efficiency and also to generalize drying curves, for the design and operation of dryers. Several investigators have proposed numerous mathematical models for thin-layer drying of many agricultural products. This study gives a comprehensive review of more than 100 different semitheoretical and empirical thin-layer drying models used in agricultural products and evaluates the statistical criteria for the determination of appropriate model.

145 citations


Cited by
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01 Jan 2016

1,633 citations

Journal Article

1,306 citations

Journal ArticleDOI
TL;DR: In this article, a new empirical model for single layer drying process, which was verified with selected experimental data, was presented and compared with other single-layer drying models available in the literature, using laboratory and field data from literature.
Abstract: This paper presents a new empirical model for single layer drying process, which was verified with selected experimental data. The present model is also compared with other single layer drying models available in the literature, using laboratory as well as field data from literature.

1,244 citations

Proceedings Article
27 Aug 1984

954 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assessed the non-combustion based renewable electricity generation technologies against a range of sustainability indicators and using data obtained from the literature, they found that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal.
Abstract: The non-combustion based renewable electricity generation technologies were assessed against a range of sustainability indicators and using data obtained from the literature. The indicators used to assess each technology were price of generated electricity, greenhouse gas emissions during full life cycle of the technology, availability of renewable sources, efficiency of energy conversion, land requirements, water consumption and social impacts. The cost of electricity, greenhouse gas emissions and the efficiency of electricity generation were found to have a very wide range for each technology, mainly due to variations in technological options as well as geographical dependence of each renewable energy source. The social impacts were assessed qualitatively based on the major individual impacts discussed in literature. Renewable energy technologies were then ranked against each indicator assuming that indicators have equal importance for sustainable development. It was found that wind power is the most sustainable, followed by hydropower, photovoltaic and then geothermal. Wind power was identified with the lowest relative greenhouse gas emissions, the least water consumption demands and with the most favourable social impacts comparing to other technologies, but requires larger land and has high relative capital costs.

896 citations