BibTex format
@inproceedings{Santamaria:2018,
author = {Santamaria, FL and Macchietto, S},
pages = {50--57},
title = {Optimal cleaning scheduling and control of heat exchanger networks: An industrial case study},
year = {2018}
}
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Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - Fouling in heat exchangers of refinery applications has a high impact on operations as it reduces the thermal and hydraulic performance of the units. Fouling mitigation is required to keep the operation closer to the optimal point of low energy consumption, high throughput, and high safety standards. Two fouling mitigation alternatives are commonly used in the operation of large networks: periodic cleanings and flow rate control. The first one can remove the deposit but requires units to be taken out of service, while the second one allows a continued operation, but it just reduces the deposition rate. These two strategies have strong interactions that define the performance of the preheat train. Here we analyze the simultaneous solution of the optimal cleaning scheduling and optimal flow distribution for an industrial case study of the hot end of the preheat train. The problem is formulated as a large scale nonlinear mathematical programming problem with binary variables, which is solved efficiently using complementarity constraints. The optimal simultaneous solution of both problems has an economic benefit over the actual operation of the preheat train (based on past data) of $ 3.2 M over an operation horizon of 4 years.
AU - Santamaria,FL
AU - Macchietto,S
EP - 57
PY - 2018///
SP - 50
TI - Optimal cleaning scheduling and control of heat exchanger networks: An industrial case study
ER -