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

1
Dep. Umweltgerechte Produkte und Prozesse, Universität Kassel, Kurt-Wolters-Straße 3, 34125 Kassel, Germany
2
Bayernwerk Natur GmbH, Carl-von-Linde-Straße 38, 85716 Unterschleißheim, Germany
3
Sustainable Process Integration Laboratory–SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology-VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic
4
Energy Research Centre, School of Engineering, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand
*
Author to whom correspondence should be addressed.
Energies 2019, 12(5), 930; https://doi.org/10.3390/en12050930
Received: 31 January 2019 / Revised: 26 February 2019 / Accepted: 27 February 2019 / Published: 10 March 2019
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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. View Full-Text
Keywords: total site heat integration; heat recovery loop (HRL); heat storage; Monte Carlo (MC) simulation; data farming total site heat integration; heat recovery loop (HRL); heat storage; Monte Carlo (MC) simulation; data farming
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Schlosser, F.; Peesel, R.-H.; Meschede, H.; Philipp, M.; Walmsley, T.G.; Walmsley, M.R.W.; Atkins, M.J. Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation. Energies 2019, 12, 930.

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