Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F18%3APU130489" target="_blank" >RIV/00216305:26210/18:PU130489 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3303/CET1870059" target="_blank" >http://dx.doi.org/10.3303/CET1870059</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3303/CET1870059" target="_blank" >10.3303/CET1870059</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank

Popis výsledku v původním jazyce

Prerequisite for an efficient cooling energy system is the knowledge and the optimal combination of different operating conditions of individual compression and free cooling chillers. The performance of cooling systems depends on its part load performance and its condensing temperature, which are often unknown. Recorded energy data remains unused and manufacturers' data significantly differs from the real performance. For this purpose, manufacturer and real data are combined and continuously adapted to form partial load curve models. This study applied a predictive optimization algorithm to calculate the optimal operating conditions of multiple chillers. A sprinkler tank offers the opportunity to store cold-water for later utilisation. This potential is used to show the load shifting potential of the cooling system by using a variable electricity price as an input parameter of the optimisation. The set points from the optimisation have been continuously validated by a dynamic simulation. Finally, a case study of a plastic processing company evaluated different scenarios against the status quo. Applying an optimal chiller loading and charging strategy of a sprinkler tank increased the energy efficiency of up to 40 % during colder and around 17% during warmer periods. The total energy savings highly depended on the weather conditions. For the consider fluctuations, the electricity price had only a minor effect.

Název v anglickém jazyce

Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank

Popis výsledku anglicky

Prerequisite for an efficient cooling energy system is the knowledge and the optimal combination of different operating conditions of individual compression and free cooling chillers. The performance of cooling systems depends on its part load performance and its condensing temperature, which are often unknown. Recorded energy data remains unused and manufacturers' data significantly differs from the real performance. For this purpose, manufacturer and real data are combined and continuously adapted to form partial load curve models. This study applied a predictive optimization algorithm to calculate the optimal operating conditions of multiple chillers. A sprinkler tank offers the opportunity to store cold-water for later utilisation. This potential is used to show the load shifting potential of the cooling system by using a variable electricity price as an input parameter of the optimisation. The set points from the optimisation have been continuously validated by a dynamic simulation. Finally, a case study of a plastic processing company evaluated different scenarios against the status quo. Applying an optimal chiller loading and charging strategy of a sprinkler tank increased the energy efficiency of up to 40 % during colder and around 17% during warmer periods. The total energy savings highly depended on the weather conditions. For the consider fluctuations, the electricity price had only a minor effect.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20402 - Chemical process engineering

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Chemical Engineering Transactions

ISBN

978-88-95608-67-9

ISSN

2283-9216

e-ISSN

—

Počet stran výsledku

6

Strana od-do

349-354

Název nakladatele

Italian Association of Chemical Engineering - AIDIC

Místo vydání

Neuveden

Místo konání akce

Prague

Datum konání akce

25. 8. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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