Optimization of four models flatbread bakery machines in Iran: An experimental investigation aided by energy and exergy analysis

Abstract

Purpose

The purpose of this study is to reduce energy consumption in bakeries. Due to fulfill this demand, quite a few parameters such as energy and exergy efficiency, energy waste and fuel consumption by different traditional flatbreads bakeries (Sangak, Barbari, Taftun and Lavash should be monitored and their roles should not be neglected.

Design/methodology/approach

In the present study, experimental measurements and mathematical modeling are used to scrutinize and investigate the effects of the aforementioned parameters on energy consumption by bakeries.

Findings

The results show that by doing reported methods in this paper, the wasted energy of the walls can be decreased by about 65 per cent; and also, by controlling the combustion reaction to perform with 5 per cent excess air, the wasted energy of excess air declines by about 90 per cent. And finally, the energy and exergy efficiency of bakeries is increased, and as a result, the annual energy consumption of Sangak, Barbari, Taftun and Lavash bakeries diminish about 71, 59, 57 and 40 per cent, respectively.

Originality/value

As evidenced by the literature review, it can be observed that neither numerical studies nor experimental investigations have been conducted about energy and exergy analyses of Iranian machinery traditional flatbread bakeries. It is clear that due to a high preference of Iranians to use the traditional bread and also the popularity of baking this kind of bread in Iran, if it is possible to enhance the traditional oven conditions to decrease the loss of natural gas instead of industrializing the bread baking, the energy consumption in the country can be optimized.

Citation

Sadripour, S., Estajloo, M., Hashemi, S.A., Chamkha, A.J. and Abbaszadeh, M. (2020), "Optimization of four models flatbread bakery machines in Iran: An experimental investigation aided by energy and exergy analysis", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 6, pp. 3399-3434. https://doi.org/10.1108/HFF-11-2018-0636