Integrated decision support tool for nested, spatially-scaled urban recycled water infrastructure planning
Abstract/Contents
- Abstract
- Globally, the main drivers for expansion of water reuse are: 1) Increasing water demand to support industrial and population growth; 2) Water scarcity and droughts, particularly in arid and semi-arid regions; and 3) Environmental protection and enhancement. Development of water reuse systems that can address these various drivers is complex. Here, we introduce an integrated decision-support software tool for planning of water reuse infrastructure using multiple weighted criteria. The main contributions of this research are: 1. A high level decision methodology that selects the combination of centralized and satellite resource (water/energy) recovery and reuse systems that best balances monetary and non-monetary criteria. A case study for the Palo Alto wastewater catchment is used to demonstrate the methodology. 2. Development and implementation of decision support software components: 1) a Locator for satellite treatment and wastewater scalping facilities, 2) a Calculator for water and organic mass balances, 3) a Calculator for recycled water and sewer costs and incentive, and 4) a pipeline Designer. The designer is used to identify near-minimum-cost pipeline routes for multiple users, and accounts for existing configurations, environmental or social constraints, and trade-offs in pipeline length, construction methods, and traffic congestion during construction. In addition, the designer optimizes pipe diameters, pipe pressure classes, pump station locations, and pumping energy and includes the theoretical additional capacity of each pipe, facilitating future expansion. To illustrate the utility of the designer, a case study was conducted for the City of Palo Alto, CA. 3. An Integrator that combines the above software components and adds capability for wastewater treatment process selection to enable nested, spatially-scaled, urban recycled water reuse system design. This decision support tool is applied to a case study of Golden, CO.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Lee, Eun Jung |
|---|---|
| Associated with | Stanford University, Department of Civil and Environmental Engineering. |
| Primary advisor | Criddle, Craig |
| Primary advisor | Freyberg, David L |
| Thesis advisor | Criddle, Craig |
| Thesis advisor | Freyberg, David L |
| Thesis advisor | Cath, Tzahi Y |
| Thesis advisor | Fischer, Martin, 1960 July 11- |
| Advisor | Cath, Tzahi Y |
| Advisor | Fischer, Martin, 1960 July 11- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Eun Jung Lee. |
|---|---|
| Note | Submitted to the Department of Civil and Environmental Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Eun Jung Lee
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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