Digitalni repozitorijum
Univerziteta u Kragujevcu
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Mapiranje i iskorišćenje otpadne toplote u prehrambenoj industriji
Josijević, Mladen, 1988-, 24122471
Šušteršič, Vanja, 1967-, 13551975
Gordić, Dušan, 1970-, 13546599
Končalović, Davor, 1979-, 24112743
Nikolić, Danijela, 1971-, 17674599
Stojiljković, Mirko M., 1980-, 9736807
Vukašinović, Vladimir, 1986-, 24120679
Food and beverage industry, as an important global branch of industry, consume considerable amounts of energy. This sector predominantly uses energy for the recuperation of thermal processes in which the significant amounts of energy are irreversibly wasted as waste heat. The identification of potential sources of waste heat and the estimations for their possible utilization can be an extremely challenging undertaking. Also, the relatively small share of energy costs with respect to total production costs, in addition to high initial investments, are the main reason for the low implementation of a waste heat utilization technology. In this regard, the doctoral dissertation aims at defining the methodology for determining waste heat potentials in food industry and for the selection of an optimal technology for its utilization based on desired goal functions. The dissertation develops a new methodology that is based upon the comprehensive energy audit of production facility and the application of mathematical optimization in the selection of an optimal technology for waste heat utilization. The audit follows the ISO 50002 standard and is conducted aiming at the collection of data on energy and raw material flows in a facility and at mapping waste heat sources and their potentials. The mathematical model applied here is originally developed for the purposes of this dissertation and it completely based on multivariate mixed integer nonlinear programming. The mathematical model incorporates the equations of the most commonly used technologies for waste heat utilization that are suitable for the temperature levels of waste heat sources in food industry. The equations describe the economic and ecological indicators of investment justification. The maximization or minimization of any among these indicators most commonly represents a goal function. The methodology developed here is tested on a case study, a facility operating within the milk and dairy production sector. According to the results obtained in this study, in both basic scenarios and with multiple different goal functions, the best way to use waste heat is its direct utilization whenever possible. Also, the most beneficial scenario for the analyzed dairy, in addition to the direct utilization of process heat, is the implementation of a mechanical compression heat pump for the utilization of waste heat from the condensers of refrigeration equipment.
srpski
2020
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Creative Commons CC BY-ND 2.0 AT - Creative Commons Autorstvo - Bez prerada 2.0 Austria License.
CC BY-ND 2.0 AT
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