(31e) Industrial Experience in Handling Cleaning of Crude Refinery Preheat Trains | AIChE

(31e) Industrial Experience in Handling Cleaning of Crude Refinery Preheat Trains

Authors 



Industrial
Experience in Handling Cleaning of Crude Refinery Preheat Trains

1,2Ishiyama E.M., 1Pugh S.J. and 2Wilson D.I.

1IHS
ESDU, Houndsditch, London EC3A 7BX, UK

2Department
of Chemical Engineering and Biotechnology, University of Cambridge, New Museums
Site, Cambridge CB2 3RA, UK

Abstract

Oil refineries are a major part of the national economy: in the UK
alone, there are nine major refineries, processing over 1.8 million barrels of
crude oil per day (Watson and Vandervell, 2006), consuming energy at the rate
of gigawatts (~ 7.9 GW: Marsh-Patrick, 2006). Heat exchangers (HEXs) play a
major role on refineries in saving energy. Distillation is the main consumer of
energy on a refinery, and networks of HEXs are connected together in a preheat
train to reduce the duty on furnaces. These units all suffer from fouling. Based
on
the world crude oil consumption of ~ 88 MM bbl per day (in 2009 ? 2010), around
36 MM tonnes per year of extra CO2 is estimated to be emitted
due to fouling (IHS ESDU, 2011). Handling fouling is
a major challenge, and to-date, total elimination of fouling has not been
achieved. Hence, cleaning of refinery exchangers is considered a practical
solution. Since the original work done by Georgiadia and Papageorgiou (2000)
and Smaïli et al. (2001),
optimizing scheduling in a practical perspective has taken broader attention (e.g.
Ishiyama et al., 2010). In this paper
we discuss practical industrial concerns on scheduling cleaning in crude
refinery exchangers and demonstrate a novel heat exchanger network simulation
tool, smartPM, used to mitigate fouling in a techno-economic perspective.

Georgiadis M.C. and Papageorgiou L.G. (2000). Optimal energy and
cleaning management in heat exchanger networks under fouling, Trans IChemE, 78, 168-179.

IHS ESDU Energy, Emissions, and
Efficiency: How to address heat exchanger fouling to reduce energy and
maintenance costs while improving plant performance
, Penn Energy Webcast,
31st March, 2011

Ishiyama
E.M., Paterson W.R., Wilson D.I., Heins, A.V. and Spinelli L. (2010). Scheduling
cleaning in a crude oil preheat train subject to fouling: incorporating
desalter control, Applied Thermal
Engineering
, 30(13), 1852-1862.

Marsh-Patrick, A. (2006). EU emissions trading scheme
phase II: review of new entrants' benchmarks ? refineries. Entec UK Limited Final report. 3-4.

Smaïli, F and Vassiliadis, VS and Wilson, DI (2001) Mitigation
of Fouling in Refinery Heat Exchanger Networks by Optimal Management of
Cleaning
.
Energy & Fuels,
15 (5). pp. 1028-1056. ISSN 0887-0624

Watson, M. and Vandervell, N. (2006). Meeting our energy
needs: The future of UK oil refining. UKPIA
Final report
, 13-24.

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