In English

Conditions for Design and Control of Refrigeration Systems in Fish Processing Plants. Requirements in the fish processing industry, conditions for efficient refrigeration and an energy optimisation case study using model predictive control

Adam Björk ; Christoffer Schou Kongstad
Göteborg : Chalmers tekniska högskola, 2016. 86 s. Examensarbete - Institutionen för bygg- och miljöteknik, Chalmers tekniska högskola; BOMX02-16-43, 2016.
[Examensarbete på avancerad nivå]

Energy efficiency is today becoming more and more important due to increasing energy prices and a higher awareness of climate changes. This project focus is on the fish processing industry as it is energy intensive and has large potential for improvements. The study focus is on improving the efficiency of a specific plant where the refrigeration system was designed around 1999 and is fairly typical in the industry. The study also evaluates if thermal energy storage can be used in combination with model predictive control to take advantage of the variations in electricity prices. The existing system is evaluated through study visits to the site and interviews with its personnel, as well as visits and comparison to other refrigeration plants in Sweden. A thorough literature study is also done to gain knowledge about refrigeration technology, control and fish processing. After this the requirements of the industry are specified and possible technological solutions are evaluated. Finally a redesigned system is created and evaluated. The redesigned system yields savings of 40% compared to the reference plant by utilising a thermal energy storage and model predictive control to run the compressors optimally as well as constructing a cascade system instead of the former ammonia system to improve the efficiency of the compressors. The study does however not show any large savings through the use of medium size thermal energy storage to counter the variations in electricity prices.

Nyckelord: Energy efficiency, Thermal energy storage, Model predictive control, Refrigeration,

Publikationen registrerades 2016-08-15. Den ändrades senast 2016-08-15

CPL ID: 240267

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