View source for Projects:2020s1-2274 Economic Optimisation of Water Distribution Pumping Systems with Integrated Renewable Power Generation

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2018s1|106]]
At present, up to 80% of costs surrounding water distribution are attributed to energy expenses from pumping. This power is purchased from the National Electricity Market with volatile prices that can cause variations of up to half a million dollars in pumping expenses. Water distribution companies are now seeking to eliminate this issue by integrating renewable power generation into their systems with the aim of having zero net electricity costs. Doing so gives rise to questions such as: What should we be doing with this power? When should we be buying, storing or selling power? And what is the most economical way to pump while satisfying water demand?

The project aims to apply model predictive control as an approach to solving this problem for a case study of the Sellicks Hill pipeline in South Australia.

== Introduction ==
Project description here

=== Project team ===
==== Project students ====
* Daniel Mignanelli
* Adam Kitto
* Zhiyuan Ren
==== Supervisors ====
* Professor Lang White
* Professor Angus Simpson

=== Objectives ===
Set of objectives

== Background ==
=== Topic 1 ===

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...