Detail publikace

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

Peesel, R.H. Schlosser, F. Schaumburg, C. Meschede, H. Dunkelberg, H. Walmsley, T.G.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Cooling; Energy conservation; Energy efficiency; Manufacture; Optimization; Tanks (containers); Thermoelectric equipment; Charging strategies; Condensing temperature; Different operating conditions; Optimal chiller loading; Optimal combination; Optimal operating conditions; Optimization algorithms; Predictive simulations; Cooling systems

Autoři

Peesel, R.H.; Schlosser, F.; Schaumburg, C.; Meschede, H.; Dunkelberg, H.; Walmsley, T.G.

Vydáno

1. 8. 2018

Nakladatel

Italian Association of Chemical Engineering - AIDIC

ISSN

2283-9216

Periodikum

Chemical Engineering Transactions

Číslo

70

Stát

Italská republika

Strany od

349

Strany do

354

Strany počet

6

BibTex

@inproceedings{BUT153235,
  author="Peesel, R.H. and Schlosser, F. and Schaumburg, C. and Meschede, H. and Dunkelberg, H. and Walmsley, T.G.",
  title="Predictive Simulation-based Optimisation of Cooling System Including a Sprinkler Tank",
  booktitle="Chemical Engineering Transactions",
  year="2018",
  journal="Chemical Engineering Transactions",
  number="70",
  pages="349--354",
  publisher="Italian Association of Chemical Engineering - AIDIC",
  doi="10.3303/CET1870059",
  issn="2283-9216"
}