CPI – Centre for Process Integration
Submitting Institution
University of ManchesterUnit of Assessment
Aeronautical, Mechanical, Chemical and Manufacturing EngineeringSummary Impact Type
TechnologicalResearch Subject Area(s)
Mathematical Sciences: Applied Mathematics
Engineering: Chemical Engineering, Interdisciplinary Engineering
Summary of the impact
The field of conceptual chemical process design as practiced industrially
has been influenced significantly by the outputs from the Centre for
Process Integration (CPI) at Manchester. Process Integration Ltd (PIL) was
spun-out from Manchester and currently employs over 50 staff globally, who
have conducted projects that have resulted in annual cost savings of
hundreds of millions of US dollars. The application of CPI technology has
led to significant reductions in both energy costs and emissions of
greenhouse gases. Since 2008 ca. US$350m of savings have been realized
through the exploitation of CPI technology with US$1.4m generated from
software sales.
Underpinning research
The impact is based on research that took place in Manchester between
1993-date by key researchers:-
- Robin Smith (Professor, 1984-date)
- X X (Frank) Zhu, (Senior Lecturer/Reader, 1993-2006)
- Gavin Towler (Lecturer, 1994-2002)
- Megan Jobson (Lecturer/Senior Lecturer, 1996-date)
- Nan Zhang (PhD Student/Lecturer, 1996-date)
- Simon Perry (Senior Teaching Fellow, 1986-date)
- Nii Asante (PhD Student/PDRA, 1993-1998)
Joao Alves (PhD Student, 1996-1999), MiMi Saine Aye (PhD Student,
2000-2003), Lu Chen (PhD Student, 2005-2009), Petar Varbanov, (PhD
Student, 2001-2004), Yogesh Makwana, (PhD Student, 1994-1997), Fang Liu
(PhD Student, 1998-2002).
Four areas of CPI's research activities that have generated significant
impact will be discussed:-
1. Heat recovery systems
New approaches to heat exchanger design and retrofit were researched and
developed that combine mathematical modelling with thermodynamic analysis.
The approach has been proven to be particularly well-suited to the
retrofit of existing heat recovery systems by allowing more cost effective
improvement of existing processes. A fundamental understanding of the
principles that underpin the limitations of existing heat exchanger
networks has provided a much more systematic and practical insight [1]. In
addition, the approaches developed for the design and retrofit of heat
recovery systems have been able to be combined effectively with process
models to allow much better improvements in profitability than when the
heat recovery system is tackled alone [4].
2. Utility systems
Underpinning research conducted at Manchester has developed new and much
more effective methods for the design and optimisation of complex utility
systems. Such utility systems are a common feature of all chemical
processing and are huge energy consumers. This has required an approach to
modelling such systems that accounts for the part-load performance of
equipment and at the same time allows more effective optimisation of the
total system. The modelling environment developed has been implemented for
system design and retrofit or for the operational improvement of an
existing system with no capital expenditure [2].
3. Refinery hydrogen networks
Research at Manchester has developed systematic methods for improving
refinery hydrogen networks — a critical feature of the design and
operation of petroleum refineries. Various processes produce fresh
hydrogen, produce waste hydrogen and consume hydrogen at different
conditions. Effective integration of these processes is critical to
profitable operation. The methods developed provided for the first time
insights into the complex interactions that take place. Graphical methods
[3] have been developed, together with mathematical optimisation methods
[5]. The methods set the minimum hydrogen supply required by the hydrogen
network and allow systematic screening of purification processes for
integration within the network. Prior to this work, no methods were
available for the systematic analysis of refinery hydrogen networks.
4. Petroleum refinery molecular modelling
Petroleum refineries have conventionally modelled refinery streams and
processes using only bulk properties, such as density, boiling point, etc.
The composition of the streams has traditionally been considered to be too
complex to allow a more fundamental approach. Research at Manchester has
developed a way of modelling refinery streams and processes on a molecular
basis. Critical to this is the ability to relate bulk properties to
molecular make-up [6]. The molecular modelling approach can be used for
the first time to manage the flow of specific molecular species through
the refinery to allow better exploitation of the crude oil resource and
increase profitability.
References to the research
The research was published in leading chemical engineering journals,
including Chemical Engineering Research and Design, Chemical
Engineering Science and Industrial & Engineering Chemistry
Research. The research has had a considerable influence on the
development of the field, as evidenced by the large number of citations
(Google Scholar).
Key Publications
1. X X Zhu, N D K Asante "Diagnosis and Optimization Approach for Heat
Exchanger Network Retrofit", AIChE Journal, 45(7): 1488-1503 (1999). (34
citations) DOI: 10.1002/aic.690450712
2. P Varbanov, S Perry, Y Makwana, XX. Zhu and R Smith, "Top-Level
Analysis of Site Utility Systems", Chemical Engineering Research and
Design, 82(A6): 784-795 (2004). (28 citations)
DOI:
10.1205/026387604774196064
3. Joao J Alves, Gavin P Towler, "Analysis of Refinery Hydrogen
Distribution Systems", Industry Eng. Chem. Res., 41: 5759-5769 (2002).
(168 citations) DOI: 10.1021/ie010558v
Other Relevant publications
4. Smith R, Jobson M, Chen L, Recent Developments in the Retrofit of Heat
Exchanger Networks, Applied Thermal Engineering, 30(16): 2281-2289 (2010).
(20 citations) DOI:
10.1016/j.applthermaleng.2010.06.006
5. Liu F and Zhang N, "Strategy of Purifier Selection And Integration In
Hydrogen Networks", Chemical Engineering Research and Design, 82(A10):
1315-1330 (2004). (74 citations) DOI:
10.1205/cerd.82.10.1315.46739
6. Mi Mi Saine Aye, N Zhang "A novel methodology in transforming bulk
properties of refining streams into molecular information" Chemical
Engineering Science, 60(23): 6702-6717 (2005). (20 citations) http://dx.doi.org/10.1016/j.ces.2005.05.033
Details of the impact
Context
The considerable supply of energy required by industrial production has
focused attention on the more sustainable use of energy. Also, it is
imperative that process efficiencies are improved to meet stringent
regulations and environmental legalisation. Process Integration Technology
(Pinch Technology) pioneered at Manchester was developed to address such
issues and has been extensively used by the process industry worldwide.
Pathways to Impact
Manchester's CPI is a recognised centre of excellence and has maintained
close links with industry through the Process Integration Research
Consortium (PIRC). The computer software developed in CPI has enabled
effective technology transfer and commercial exploitation of our
underpinning research outputs by the thirteen companies comprising PIRC.
In total, six software packages have been developed for heat recovery
systems, utility systems, distillation systems cryogenic systems, water
integration and refinery modelling & optimisation. Process Integration
Ltd (PIL) was spun-out from Manchester in 2007 to provide an effective
route to market. The software has been further developed to commercial
standards and licensed by PIL, which currently employs over 50 people in
Manchester, Beijing and Houston, for either sale to industry (14 copies,
US$100k per copy) or for internal use by PIL on consultancy projects (35
major projects) [C1].
Reach and Significance of Impact
Heat Recovery Systems
Despite the cost saving and environmental benefits associated with reduced
consumption of finite non-renewable energy resources, it is difficult to
justify capital investment on retrofit for energy saving of an existing
process.
The new methods developed in CPI have allowed more cost-effective
retrofit of heat recovery systems and simultaneous heat recovery and
process optimisation. To date, three software licences have been sold and
sixteen commercial studies have been carried out on various process units
from refining to petrochemicals. Savings related directly to the use of
these CPI methods can be considerable [C2, C3], for example Sinopec has,
since 2009, saved 15 MW of energy worth approximately US$25m, and savings
will continue at a rate of ca. US$5m/year [C4]. BP envisages savings worth
approximately US$4.4m/year per typical major refinery [C3].
Utility systems
Most processes operate in the context of an existing site in which a
number of processes are linked to the same steam and power system. Such
utility systems are the largest energy consumers on most processing sites
and therefore offer the opportunity of substantial savings.
Manchester has developed improved methods for the simulation and
operational optimisation of utility systems that have enable without
capital expenditure substantial reductions in fuel consumption, fuel
costs, increased power production and lower CO2 emissions.
Eleven commercial studies have been undertaken on utility systems for
Sinopec resulting in energy savings of US$250m since 2009 and these
savings will continue at a rate of ca. US$50m/year [C4]. In addition,
revenue has been generated by licencing eight copies of the software to
PCITC and LPEC in China.
Refinery hydrogen networks
After the cost of purchasing crude oil and the cost of energy to run a
refinery, the next biggest cost is that of hydrogen. Changes in
environmental regulations and increased use of heavy crude oil have
increased the demand for hydrogen in refineries significantly. This has
necessitated more efficient use of hydrogen and significant investment in
hydrogen generation and purification, which consumes a significant amount
of energy.
Manchester's systematic methods have for the first time provided
petroleum companies with insight into how to improve the refinery hydrogen
networks. Industrial process engineers have the benefit of not only
powerful mathematical tools, but also the insights that simple graphical
methods present.
Three software licences have been sold to Sinopec and PetroChina in
China. Also, eight commercial studies have been undertaken on refinery
hydrogen networks for Sinopec that have saved the company US$50M, since
2009, comprising savings in natural gas and additional revenue generated
from the recovery of light hydrocarbons. These savings will continue at a
rate of ca. US$10m/year. [C4]. In addition, a major study has also been
carried out for Shell Deutschland, but the results are commercial in
confidence.
Petroleum refinery molecular modelling
The demand for higher quality products in conjunction with more stringent
environmental regulations has caused the refining industry to move towards
better characterisation of the composition of refinery streams.
The methodology developed at Manchester allows more effective molecular
management in refining through better modelling and optimisation.
Three commercial studies have been carried out on refinery optimisation
for Sinopec that have saved US$25m, since 2009, in increased product value
and on-going savings of ca. US$5m/year. More recently, PIL and Sinopec
established a joint venture that has developed a new software system based
on a research output from CPI. The software has the potential to make
significant improvements in the efficiency of exploitation of crude oil.
To date, the software has been validated on two Chinese refineries of
Sinopec, two trial software licences have been issued for evaluation and
is currently being launched commercially. The sales price of the software
will be around US$225k per copy [C1].
Sources to corroborate the impact
C1. Letter from Process Integration Ltd — Software licensing and
technology exploitation.
C2. Letter from ExxonMobil (USA) — Heat recovery Systems
C3. Letter from BP International — Heat recovery systems
C4. Letter from Sinopec — Heat recovery systems, Utility systems,
Refinery hydrogen networks, and Petroleum refinery molecular modelling.