engineering science at the auckland university
TRANSCRIPT
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April 18, 2023
Engineering Science at
the
University of Auckland
Mike O’Sullivan,
University of Auckland, New Zealand
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Outline of the presentation
General background on Engineering Science
Graduate degrees
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Engineering Science
One of five departments in the Faculty of Engineering (also Civil, Mechanical, Electrical, Chemical and Materials)
Faculty enrolls ~650 new undergraduate students each year
Engineering Science runs two degree programs – Engineering Science and Biomedical Engineering
Engineering Science ~35 students per year
Biomedical Engineering ~25 students per year
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Engineering Science People
Academic staff - 31
Research fellows - 7
PhDs – 18
Master of Engineering – 8
Master of Energy – 8
Master of Operations Research – 1
Postgraduate Certificate in Geothermal Energy - 22
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Teaching profile – for all engineers
Mathematical modelling
Computer methods
Chemistry and Biology for engineers (part)
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Teaching profile – for Engineering Science
Mathematical modelling
Computational techniques
Design
Continuum mechanics
Operations Research
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Teaching profile – additional for Biomedical Eng.
Instrumentation
Bioengineering
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Research interests
Operations research
Continuum mechanics
Bioengineering
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Research spin-off groups
Bioengineering – Auckland Bioengineering Institute
Operations Research – Optima
Geothermal – Geothermal Modelling Group
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Research degrees
PhD – 3 or 4 years
Master of Engineering – 1 year
Engineering – 4 year BE + 1 year ME
Science – 3 year BSc + 2 year MSc
or 4 year BSc(hons) + 1 year MSc
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Master of Energy
Cross-faculty degree (Engineering, Science, Business and Economics)
Just started in 2011
Organised by Engineering Science
Several themes including geothermal and wind
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Master of Energy- structure
Two compulsory courses (25%) - Energy Resources and Energy Technology
Three elective courses (37.5%) – From Engineering, Science or Business and Economics
Industry-focused research project (37.5%)
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Master of Operations Research
A one year, all research degree
Targeted at students with BScs in mathematics, statistics or computer science or with BComs in economics
Engineering Science students interested in OR can take an ME
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Postgraduate certificate in geothermal energy technology
One semester program (mid-July to mid-November)
Organised by Engineering Science (the Geothermal Institute is being re-established and may take over this role)
25-30 students per year, ~25% from Indonesia, ~25% from the Philippines, the rest from many countries
New Zealand Government is providing scholarships
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PGCert - structure
Two compulsory courses – one on geothermal engineering and one on geothermal geoscience (50%)
One elective paper on either geothermal engineering or geothermal geoscience (25%)
An industry-based research project (25%)
Two one-week field trips to the Taupo volcanic zone – Rotorua, Wairakei etc
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PGCert – field trip
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PGCert – field trip
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Engineering Science - Research themes
Bioengineering Research
Electric Power Optimization
Fluid Dynamics,
Solid Mechanics,
Geothermal and Oil and Gas Reservoir Engineering
Network Design and Simulation
Scheduling and Rostering
Stochastic programming and multicriteria optimization.
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Geothermal Reservoir Engineering Research
Simulation of the Wairakei-Tauhara, Mokai, Ohaaki and Ngawha reservoirs.
Modeling of supercritical geothermal flows.
MCMC methods for model calibration.
Large-scale geothermal convection.
Subsidence in geothermal fields
Automated model calibration
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Geothermal Engineering Research
Two-phase flow in geothermal pipelines.
Two-phase orifice plates.
Power station design and optimisation.
Automated analysis of geothermal well tests.
Direct use of geothermal energy.
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Other related research
Environmental fluids modelling Tidal flow modelling. Simulation of pollutant dispersal in rivers,
estuaries and coastal environments. Simulation of fish egg/larvae dispersal.
Petroleum reservoir engineering
Coal bed methane (CBM) production
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Big picture for geothermal modelling research
I want to be able to run bigger and better models of Wairakei-Tauhara (and other fields) more quickly.I would like to have much more automation in the calibration process.My ultimate aim is to start my model running, go to the beach for a week or two and return to find:
• A well calibrated model• Future predictions of system behaviour (with full
statistics e.g. 95% confidence bounds on MWe output, etc)
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The beach
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The other end of the beach
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Far north New Zealand