Decision support toolkit for integrated analysis and design of reclaimed water infrastructure.

Planning of water reuse systems is a complex endeavor. We have developed a software toolkit, IRIPT (Integrated Urban Reclaimed Water Infrastructure Planning Toolkit) that facilitates planning and design of reclaimed water infrastructure for both centralized and hybrid configurations that incorporate satellite treatment plants (STPs). The toolkit includes a Pipeline Designer (PRODOT) that optimizes routing and sizing of pipelines for wastewater capture and reclaimed water distribution, a Selector (SelWTP) that assembles and optimizes wastewater treatment trains, and a Calculator (CalcBenefit) that estimates fees, revenues, and subsidies of alternative designs. For hybrid configurations, a Locator (LocSTP) optimizes siting of STPs and associated wastewater diversions by identifying manhole locations where the flowrates are sufficient to ensure that wastewater extracted and treated at an adjacent STP can generate the revenue needed to pay for treatment and delivery to customers. Practical local constraints are also applied to screen and identify STP locations. Once suitable sites are selected, System Integrator (ToolIntegrator) identifies a set of centralized and hybrid configurations that: (1) maximize reclaimed water supply, (2) maximize reclaimed water supply while also ensuring a financial benefit for the system, and (3) maximize the net financial benefit for the system. The resulting configurations are then evaluated by an Analyst (SANNA) that uses monetary and non-monetary criteria, with weights assigned to appropriate metrics by a decision-maker, to identify a preferred configuration. To illustrate the structure, assumptions, and use of IRIPT, we apply it to a case study for the city of Golden, CO. The criteria weightings provided by a local decision-maker lead to a preference for a centralized configuration in this case. The Golden case study demonstrates that IRIPT can efficiently analyze centralized and hybrid water reuse configurations and rank them according to decision-makers' preferences.

[1]  Jörg E. Drewes,et al.  Coalbed methane produced water screening tool for treatment technology and beneficial use , 2014 .

[2]  Eun Jung Lee,et al.  Assessing the scale of resource recovery for centralized and satellite wastewater treatment. , 2013, Environmental science & technology.

[3]  Dragan Savic,et al.  Development and Validation of System Design Principles for Water Reuse Systems , 2008 .

[4]  Igor Linkov,et al.  Strategic Management of Marine Ecosystems , 2005 .

[5]  Lazaros G. Papageorgiou,et al.  Optimal planning of water and wastewater management infrastructure for insular areas: The role of water reuse , 2015 .

[6]  Tianjiao Guo,et al.  Principles for scaling of distributed direct potable water reuse systems: a modeling study. , 2015, Water research.

[7]  Daniel A. Okun,et al.  Guidelines for water reuse. , 1992 .

[8]  N. Diffenbaugh,et al.  Anthropogenic warming has increased drought risk in California , 2015, Proceedings of the National Academy of Sciences.

[9]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[10]  Kevin E Lansey,et al.  Centralized versus decentralized wastewater reclamation in the Houghton area of Tucson, Arizona. , 2013 .

[11]  Bernard Roy,et al.  Classement et choix en présence de points de vue multiples , 1968 .

[12]  Eun Jung Lee,et al.  An integrated planning tool for design of recycled water distribution networks , 2016, Environ. Model. Softw..