Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
ECONOMIC OPTIMIZATION OF A POLYGENERATION SYSTEM FOR A MILK PROCESSING PLANT
Submission Author:
Victor Hugo Lobo Correia , PB
Co-Authors:
Victor Hugo Lobo Correia, Renata Portela de Abreu, monica carvalho
Presenter: Victor Hugo Lobo Correia
doi://10.26678/ABCM.ENCIT2020.CIT20-0164
Abstract
The food and beverage industry presents the highest rate of electricity consumption in the industrial sector and dairy processing is considered one of the most energy-intensive sectors within the food industry. Dairy industries are good candidates for polygeneration systems because of their high energy demands and also their need for reliable and flexible energy supply systems. The optimal configuration of polygeneration systems is a complex problem because of the wide variety of available energy conversion technologies, fuel sources, and fluctuations in tariffs and energy demands. This study optimizes a polygeneration system for a dairy industry located in João Pessoa, Northeast Brazil. The energy demands are heat (steam and hot water), electricity, and chiller water. The solution of a mixed integer linear programming model that incorporated local economic conditions determined the optimal configuration and operation of the energy system throughout an entire representative year. The objective function focuses on the minimization of annual costs. The optimal economic solution includes natural gas and diesel cogeneration modules, a natural gas boiler, and a mechanical chiller. Although the optimal system presented higher capital costs, the total annual costs were 25.38% lower than the reference system.
Keywords
Dairy, energy, food industry, mixed integer linear programming, synthesis
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