Water Network Optimization in Region L Texas
Abstract
The objective of this research is to develop an MINLP model to optimally reconfigure water resources in the Region L Planning Area in South Central Texas containing all or parts of 21 counties. Water scarcity is a major concern as we head towards a time where natural water sources will be extremely limited and the usage will become incredibly high due to the increasing population and development activities.
The proposed MINLP model is based on a source-interceptor-sink superstructure that takes into account the various flows of water from a source, its treatment and subsequent blending with other treated streams to finally deliver water that meets quality standards to the sinks. The aim is to optimally treat and distribute water by treatment method selection based on the economics, the ability for the technology to bring the quality to reusable levels, capacity bounds and minimization of the distribution costs involved. The model was developed and solved in GAMS modeling environment for multiple scenarios by varying the percentage of demand fulfilled by wastewater and the year for which the planning has to be done. The optimal solution details the number, type, capacity and location of treatment units within the macroscopic network along with the treatment and distribution costs associated. This literature also compiles a body of review literature that will aid in the development of water networks that connect the supply chain, reuse, and/or recycle of water systems.
Citation
Bhojwani, Sumay (2018). Water Network Optimization in Region L Texas. Master's thesis, Texas A & M University. Available electronically from https : / /hdl .handle .net /1969 .1 /173890.