RESULTS & DOWNLOADS
Last modified: February 3rd, 2014 13:50 CET
The continuous expansion of urban areas is associated with increased water demand,
both for domestic and non-domestic uses. To cover this additional demand, centralised
infrastructure, such as water supply and distribution networks tend to become more
and more complicated and are eventually over-extended with adverse effects on their
reliability. To address this, there exist two main strategies: (a) Tools and
algorithms are employed to optimise the operation of the external water supply
system, in an effort to minimise risk of failure to cover the demand (either due to
the limited availability of water resources or due to the limited capacity of the
transmission system and treatment plants) and (b) demand management is employed to
reduce the water demand per capita. Dedicated tools do exist to support the
implementation of these two strategies separately. However, there is currently no
tool capable of handling the complete urban water system, from source to tap,
allowing for an investigation of these two strategies at the same time and thus
exploring synergies between the two. This paper presents a new version of the UWOT
model, which adopts a metabolism modelling approach and is now capable of simulating
the complete urban water cycle from source to tap and back again: the tool simulates
the whole water supply network from the generation of demand at the household level
to the water reservoirs and tracks wastewater generation from the household through
the wastewater system and the treatment plants to the water bodies. UWOT
functionality is demonstrated in the case of the water system of Athens and outputs
are compared against the current operational tool used by the Water Company of
Athens. Results are presented and discussed: The discussion highlights the conditions
under which a single source-to-tap model is more advantageous than dedicated
subsystem models. Open access repository: http://hdl.handle.net/10251/34794
Download: Source to Tap Urban Water Cycle Modelling (PDF, 1.21 MB)
Main related item: No main related item
Other related items: No additional related items
Target audience: None
Categories: None