Publication detail

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.

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

1. 3. 2019

Publisher

MDPI AG

ISBN

1996-1073

Periodical

ENERGIES

Year of study

5

Number

12

State

Swiss Confederation

Pages from

930

Pages to

940

Pages count

10

URL

https://www.mdpi.com/1996-1073/12/5/930

BibTex

@article{BUT160783,
  author="Schlosser, F. and Peesel, R.H. and Meschede, H. and Philipp, M. and Walmsley, T.G. and Walmsley, M.R.W. and Atkins, M.J.",
  title="Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation",
  journal="ENERGIES",
  year="2019",
  volume="5",
  number="12",
  pages="930--940",
  doi="10.3390/en12050930",
  issn="1996-1073",
  url="https://www.mdpi.com/1996-1073/12/5/930"
}