Detail publikace

Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation

Schlosser, F. Peesel, R.H. Meschede, H. Philipp, M. Walmsley, T.G. Walmsley, M.R.W. Atkins, M.J.

Anglický název

Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

en

Originální abstrakt

For increased total site heat integration, the optimal sizing and robust operation of a heat recovery loop (HRL) are prerequisites for economic efficiency. However, sizing based on one representative time series, not considering the variability of process streams due to their discontinuous operation, often leads to oversizing. The sensitive evaluation of the performance of an HRL by Monte Carlo (MC) simulation requires sufficient historical data and performance models. Stochastic time series are generated by distribution functions of measured data. With these inputs, one can then model and reliably assess the benefits of installing a new HRL. A key element of the HRL is a stratified heat storage tank. Validation tests of a stratified tank (ST) showed sufficient accuracy with acceptable simulation time for the variable layer height (VLH) multi-node (MN) modelling approach. The results of the MC simulation of the HRL system show only minor yield losses in terms of heat recovery rate (HRR) for smaller tanks. In this way, costs due to oversizing equipment can be reduced by better understanding the energy-capital trade-off.

Anglický abstrakt

For increased total site heat integration, the optimal sizing and robust operation of a heat recovery loop (HRL) are prerequisites for economic efficiency. However, sizing based on one representative time series, not considering the variability of process streams due to their discontinuous operation, often leads to oversizing. The sensitive evaluation of the performance of an HRL by Monte Carlo (MC) simulation requires sufficient historical data and performance models. Stochastic time series are generated by distribution functions of measured data. With these inputs, one can then model and reliably assess the benefits of installing a new HRL. A key element of the HRL is a stratified heat storage tank. Validation tests of a stratified tank (ST) showed sufficient accuracy with acceptable simulation time for the variable layer height (VLH) multi-node (MN) modelling approach. The results of the MC simulation of the HRL system show only minor yield losses in terms of heat recovery rate (HRR) for smaller tanks. In this way, costs due to oversizing equipment can be reduced by better understanding the energy-capital trade-off.

Klíčová slova anglicky

Data farming; Heat recovery loop (HRL; )Heat storage; Monte Carlo (MC) simulation; Total site heat integration; Digital storage; Distribution functions; Economic and social effects; Intelligent systems; Stochastic models; Stochastic systems; Tanks (containers); Time series; Waste heat; Discontinuous operation; Economic efficiency; Heat integration; Heat storage tanks; Performance Model; Robust operation; Stochastic time series; Monte Carlo methods

Vydáno

01.03.2019

Nakladatel

MDPI AG

ISSN

1996-1073

Ročník

5

Číslo

12

Strany od–do

930–940

Počet stran

10

BIBTEX


@article{BUT160783,
  author="Timothy Gordon {Walmsley},
  title="Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation",
  year="2019",
  volume="5",
  number="12",
  month="March",
  pages="930--940",
  publisher="MDPI AG",
  issn="1996-1073"
}