Determinants of Energy Consumption in the Dairy Industry: A Case Study in Poland

Author:

Wojdalski Janusz12,Ligenza Przemysław1,Postuła Marta3,Dróżdż Bogdan4,Niżnikowski Roman15

Affiliation:

1. National Fund for Environmental Protection and Water Management , ul. Konstruktorska 3A , Warsaw , Poland

2. “Energy and Environment in the Dairy Industry” Scientific and Technical Association , ul. Michała Oczapowskiego 7 , Olsztyn , Poland

3. University of Warsaw , Faculty of Management, Department of Finance and Accounting , ul. Szturmowa 1/3 , Warsaw , Poland

4. Warsaw University of Life Sciences , Institute of Mechanical Engineering, Department of Production Engineering , ul. Nowoursynowska 164 , Warsaw , Poland

5. Warsaw University of Life Sciences , Institute of Animal Sciences, Department of Animal Breeding Ciszewskiego 8 , Warsaw , Poland

Abstract

Abstract The correlations between two groups of factors and energy consumption were analysed in four types of dairy plants with different production profiles. Groups of dairy plants with a similar production profile, as well as individual plants, were compared. Energy consumption was most strongly correlated with technical equipment (r = 0.88 – 0.99); this observation can be used by designers to promote better energy conservation measures during plant operation. Energy consumption was highest in plants producing milk powder. Plants specializing in milk powder may also produce up to 8 other dairy products; however, engineering and production factors can significantly contribute to reducing energy consumption, which suggests that energy is being consumed for non-production purposes at these plants. The variation in energy consumption per unit of end-product was best-explained in small dairy plants producing up to 4 products. In analyses of individual plants, energy consumption per unit of end-product was strongly correlated with both the milk-processing output and the production profile. The equations developed in this study, in particular the regression coefficients, can be used to generate additional information for detailed analyses. The structure and level of detail of the independent variables also means that the presented equations can be applied to reducing power consumption of the operated equipment, and for optimizing overall production profiles. The results of the study can be used to model energy consumption in different types of dairy plants and to evaluate their environmental performance. The international literature was reviewed, and the results of research studies analysing the correlations between energy consumption in dairy plants and their environmental impact were cited in the paper.

Publisher

Walter de Gruyter GmbH

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