Predictive modelling of seabed sediment parameters using multibeam acoustic data: a case study on the Carnarvon Shelf, Western Australia

2012 ◽  
Vol 26 (2) ◽  
pp. 283-307 ◽  
Author(s):  
Zhi Huang ◽  
Scott L. Nichol ◽  
Justy P.W. Siwabessy ◽  
James Daniell ◽  
Brendan P. Brooke
Keyword(s):  
Western Australia ◽  
Predictive Modelling ◽  
Seabed Sediment ◽  
Acoustic Data

Sugar factory audits, debottlenecking and efficiency improvement

2020 ◽  
pp. 607-612
Author(s):  
Bernard Coûteaux
Keyword(s):  
Evaluation Method ◽  
Predictive Modelling ◽  
Cane Sugar ◽  
Sugar Factory ◽  
Low Energy Consumption ◽  
Process Simulations ◽  
Capital Efficiency ◽  
Potential Improvement ◽  
Primary Focus

This paper elaborates on the key solutions offered by De Smet Engineers & Contractors (DSEC) to optimize the efficiency of cane sugar producing and processing facilities. In order to meet customer needs, DSEC offers proprietary predictive models built using the latest versions of specialized software. These models allow factory managers to envision the whole picture of increased operational and capital efficiency before it becomes reality. An integrated energy model and the CAPEX/OPEX evaluation method are discussed as ways to estimate and optimize costs, both for new greenfield projects and revamping of existing factories. The models demonstrate that factory capacities can be successfully increased using equipment that is already available. Special attention is paid to crystallization and centrifugation process simulations and the potential improvement of the global energy balance. One case study shows the transformation of a beet sugar factory into a refinery to process raw cane sugar after beet crop season and the second case shows the integration of a refinery into a cane sugar factory. The primary focus of the article is optimization of the technological process through predictive modelling. DSEC’s suggested solutions, which lead to great improvements in a plant’s efficiency and its ability to obtain very low energy consumption, are discussed.

Predictive modelling of multiperiod geoarchaeological resources at a river confluence: a case study from the Trent–Soar, UK

2006 ◽  
Vol 13 (4) ◽  
pp. 241-250 ◽  
Author(s):  
Chris J. Carey ◽  
Tony G. Brown ◽  
Keith C. Challis ◽  
Andy J. Howard ◽  
Lynden Cooper
Keyword(s):  
Predictive Modelling ◽  
River Confluence

A Linear-based Model for Multi-Microgrid Energy Sharing- A Western Australia Case Study

2021 ◽  
Author(s):  
Ali Azizivahed ◽  
S. Ehsan Razavi ◽  
Ali Arefi ◽  
Christopher Lund
Keyword(s):  
Western Australia ◽  
Energy Sharing

scholarly journals Drivers of Productivity: a Case Study of the Australian Construction Industry

2015 ◽  
Vol 15 (3) ◽  
pp. 85-97 ◽  
Author(s):  
Will Chancellor
Keyword(s):  
Research And Development ◽  
Construction Industry ◽  
Western Australia ◽  
Productivity Growth ◽  
New South ◽  
Safety Regulation ◽  
Construction Productivity ◽  
South Wales ◽  
Construction Activity

Australian construction productivity has grown slowly since 1985 and remains arguably stagnant. The importance of this study is therefore to examine several factors through to be drivers of construction productivity and to understand possible avenues for improvement. The drivers tested are research and development, apprentices, wage growth, unionisation and safety regulation. Expenditure on research and development and the number of apprentices were found to be drivers of productivity growth in Victoria, New South Wales and Western Australia. These findings are important because collectively, these three states account for a majority of construction activity in Australia.

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