Published April 5, 2015 | Version v1
Journal article

Optimisation processes of energy efficiency for a drying plant: A case of study for Turkey

Creators

Description

This study presents the optimisation processes of energy efficiency for a drying plant. The scope of this study was to find the optimum energy and exergy efficiencies for the drying plant (production of bulgur). First, mass and energy data were obtained from tests at drying plants. The exergy was analysed based on these data using the first and second laws of thermodynamics. These results were optimised by the changing mass and energy (temperature etc.) balance based on food guidance processes. This paper showed that the optimisation of the mass and energy balance increased the current energy and exergy efficiencies. Uncertainty analysis was also used for the data accuracy. In conclusion, the current drying process energy and exergy efficiencies were 24.95% and 44.05%, and the optimised drying process energy and exergy efficiencies were 35.40% and 63.20%. Therefore, the optimised process is more efficient than the current process. A techno-economic analysis was also researched for this study. - Highlights: • The energy efficiency of a drying plant depends more on mass than humidity. • Energy and exergy analyses are a proper tool to optimise the drying process. • The results show the optimisation of drying plant's construction and set a new isolation system. • Uncertainty analysis shows the data accuracy. • Techno-economic analysis performs the efficiency of the drying plant's optimisation

Availability note (English)

Available from http://dx.doi.org/10.1016/j.applthermaleng.2015.01.076

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2015.01.076;
PII
S1359-4311(15)00105-2;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
80
Journal Page Range
p. 247-260
ISSN
1359-4311
CODEN
ATENFT

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47015233
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
BALANCES; DATA COVARIANCES; DRYING; ECONOMIC ANALYSIS; ENERGY BALANCE; ENERGY EFFICIENCY; EXERGY; HUMIDITY; MASS; OPTIMIZATION; THERMODYNAMICS; TURKEY
Descriptors DEC
ASIA; DEVELOPING COUNTRIES; ECONOMICS; EFFICIENCY; ENERGY; MEASURING INSTRUMENTS; MIDDLE EAST; MOISTURE; WEIGHT INDICATORS

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.