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Harvard
Björk, A. och Schou Kongstad, C. (2016) 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. Göteborg : Chalmers University of Technology (Examensarbete - Institutionen för bygg- och miljöteknik, Chalmers tekniska högskola, nr: BOMX02-16-43).
BibTeX
@mastersthesis{
Björk2016,
author={Björk, Adam and Schou Kongstad, Christoffer},
title={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},
abstract={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.
},
publisher={Institutionen för bygg- och miljöteknik, Installationsteknik , Chalmers tekniska högskola},
place={Göteborg},
year={2016},
series={Examensarbete - Institutionen för bygg- och miljöteknik, Chalmers tekniska högskola, no: BOMX02-16-43},
keywords={Energy efficiency, Thermal energy storage, Model predictive control, Refrigeration,},
note={86},
}
RefWorks
RT Generic
SR Electronic
ID 240267
A1 Björk, Adam
A1 Schou Kongstad, Christoffer
T1 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
YR 2016
AB 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.
PB Institutionen för bygg- och miljöteknik, Installationsteknik , Chalmers tekniska högskola,PB Institutionen för signaler och system, Chalmers tekniska högskola,
T3 Examensarbete - Institutionen för bygg- och miljöteknik, Chalmers tekniska högskola, no: BOMX02-16-43
LA eng
LK http://publications.lib.chalmers.se/records/fulltext/240267/240267.pdf
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