The MIIS Eprints Archive: No conditions. Results ordered -Date Deposited. 2019-02-21T15:47:23ZEPrintshttp://www.maths-in-industry.org/images/sitelogo.gifhttp://www.maths-in-industry.org/miis/2009-02-18Z2015-05-29T19:49:24Zhttp://www.maths-in-industry.org/miis/id/eprint/207This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2072009-02-18ZOptimal Hedging Strategies for Australian Electricity RetailersJeff DewynnePam Davy2009-02-18Z2015-05-29T19:49:25Zhttp://www.maths-in-industry.org/miis/id/eprint/208This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2082009-02-18ZAnnealing steel coilsCold rolled steel in the form of coiled sheets requires heat treatment (annealing) in order to release stresses and reform the crystalline structure. During this process the whole coil must be heated to the required temperature and then maintained at this temperature for a period of time.

At New Zealand Steel the process takes place inside a batch annealing furnace. The MISG group considered the problem of where the cold point lies within the steel coils, i.e. what is the last part of the coil to reach the required temperature, and how long does it take to reach this temperature? Challenges include deciding what the boundary conditions are on a coil, and dealing with the nonlinearity and anisotropy caused by height-dependent gaps within coils.Mark McGuinnessWinston SweatmanDuangkamon BaowanSteve Barry2009-02-18Z2015-05-29T19:49:27Zhttp://www.maths-in-industry.org/miis/id/eprint/209This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2092009-02-18ZThe shelf life of wineThe aim of this project was to investigate and develop models for the shelf life of bottled wine and, in particular, the effects of elevated temperatures to the ageing process. The problem was divided into three sub-problems. First, calculations were made to describe the temperature of wine in a single bottle when subjected to an elevated external temperature, and then this was extended to pallets of cartons of wine. Second, equations were derived for the gas flow through the cork when a wine bottle is subject to oscillatory external temperatures, as is common in a domestic storage situation. Third, the temperature dependent reaction rates of the wine ageing process were considered and calculations performed on how elevated decrease shelf life. Suggestions were made as to relatively simple experiments that can be performed to test the models presented here.Geoff MercerAndy WilkinsJonathan CrookSteve BarryAndrew Fowler2009-02-18Z2015-05-29T19:49:28Zhttp://www.maths-in-industry.org/miis/id/eprint/210This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2102009-02-18ZThe response of power systems to autonomous ``grid friendly'' devicesThe aim of this study was to examine whether so-called ``grid friendly'' devices can have undesirable effects on the power grid, and what design of grid friendly device is best suited to providing additional protection to the grid. This report first develops a simplified model for a power grid, looks at the conditions for stable operation of grid friendly devices, examines alternative designs, and makes recommendations for the design of grid friendly devices.Bill WhitenGlenn FulfordRoslyn HicksonGeoff Pritchard2009-01-27Z2015-05-29T19:49:21Zhttp://www.maths-in-industry.org/miis/id/eprint/204This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2042009-01-27ZTable builder problem - confidentiality for linked tablesThe aim of this project is to investigate solutions to the problem of improving access to detailed survey data, while ensuring no person or organisation is likely to be identified, or otherwise put at risk of having their data disclosed, and to link general findings back to the ABS Table Builder problem.

We focussed on making contributions in two main areas, namely:

1. Identification of sensitive cells in a table, 2. Maximizing data utility and minimising information loss - ensuring the table provides useful information.Christine M. O'KeefeStephen HaslettDavid SteelRay Chambers2009-01-27Z2015-05-29T19:49:22Zhttp://www.maths-in-industry.org/miis/id/eprint/205This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/2052009-01-27ZTsunami risk modelling for Australia: understanding the impact of dataModelling the impacts from tsunami events is a complex task. A simplification is obtained by taking a hybrid approach where two different models are combined: relatively simple and fast models are used for simulating the tsunami event and the wave propagation through open water. The impact from tsunami inundation is simulated with another type of model which is suitable for resolving the details of the run-up process and the resulting inundation. The inundation modelling is conducted using the ANUGA model which is a result of collaboration between the Australian National University and Geoscience Australia. It solves the 2D nonlinear shallow water wave equations using a finite volume method.

One of the critical requirements for reliable inundation modelling is an accurate model of the earth's surface that extends from the open ocean through the inter-tidal zone into the onshore areas to be studied. Production of a sufficiently accurate elevation model is a complex and difficult process made more difficult because the available elevation data inevitably will come from a number of different sources and will have a range of vintages, resolutions and reliability.

There are two questions that arise when data is requested. The first deals with the true variability of the topography. Obviously, a flat surface neednâ€™t be sampled nearly as finely as a highly convoluted surface. The second question relates to sensitivity; how are error bars derived for the impact results if the error bars on each elevation point is known? ANUGA solves the 2D nonlinear shallow water wave equations using a finite volume method and typical models can take days of computational time, so proper sensitivity analyses are often prohibitively expensive in terms of computational resources.

The main aim of this project was therefore to understand the uncertainties in the outputs of the inundation model based on possible uncertainty in the input data.Graeme HockingJohn JakemanJane SextonMatt Wand