The aim of the work was the energetic and exergetic analysis of a production plant for meat products. Based on the model calculations, plant optimizations are to be proposed. For this purpose, a methodology was developed to enable the developement of a model, despite partially insufficient and missing data. This was achieved by simplifying physical relationships, which, reduce the degree of accuracy of the model. However, modeling the plant would not have been possible without these assumptions. The methodology was prepared in such a way that it can be used as a blueprint for solving comparable problems. According to the model provided, the overall energy efficiency of the model is 29% in summer and 39% in winter. The plant uses one heat pump and three chillers, and it has a heat recovery system that feeds the waste heat from the chillers into the plant's heat network. The largest exergy consumers are the deep and normal refrigerated warehouses for the meat products. The exergy efficiency is lower due to the higher cooling demand in summer. The share of exergy destruction in the total exergy losses is 72% in summer and 90% in winter. Consequently, the exergy waste is 28% in summer and 10% in winter and occurs mainly in the condensers of the large chillers of the plant. The calculation results are thus with small deviation in the range of comparable plants, where values of 40 to 48 % are given for meat product factories according to the literature research carried out. The developed methodology, due to its simplicity, is universally applicable and represents a tool for creating models of production plants. The method requires almost no measurement of mass flows and significantly reduces the effort required to collect the measurement data. However, it must be considered that the numerous assumptions that must be made negatively affect the accuracy. If sufficient measurement data are available to calculate energy and exergy balances, it is not necessary to apply the methodology developed in this thesis. However, this is not always the case and time-consuming and sometimes costly measurement systems have to be installed.