Sensitivity analysis of municipal drinking water distribution system energy use to system properties

Municipal Drinking Water Distribution Systems (MDWDSs) consume a significant quantity of energy to transport water, thereby exacerbating greenhouse gas emissions and global climate change. The current study is a sensitivity analysis that uses a network solver to quantify energy savings due to the alteration of three system properties—system-wide water demand, storage tank parameters (maximum water level, diameter, elevation), and pumping stations (horsepower, number of boosters, and their locations) of seven diverse MDWDSs. It was found that a 50% reduction in water demand, main pump horsepower, and booster horsepower resulted in an average energy savings of 47, 41, and 9.5% respectively, for the seven systems analyzed. Other properties examined showed insignificant savings. Even though an individual system analysis is more conclusive, this sensitivity analysis can guide optimization studies to focus on the most sensitive properties.

[1]  Jerome B. Wolff,et al.  Peak Demands in Residential Areas , 1961 .

[2]  J. E. Flanagan,et al.  Water Supply and Pollution Control. , 1964, Science.

[3]  Joseph B. Franzini,et al.  Fluid Mechanics with Engineering Applications. 6th Ed. By R. L.DAUGHERTY and J. B. FRANZINI. McGraw-Hill. 1965. 574 pp. $9.95 or 80s. Fluid Dynamics. By J. W. DAILY and D. R. F. HARLEMAN. Addison Wesley. 1966. 454 pp. $12.50 or 94s. , 1967, Journal of Fluid Mechanics.

[4]  C. Crowe,et al.  Engineering fluid mechanics , 1975 .

[5]  H. Ellis NEW CONSIDERATIONS FOR MUNICIPAL WATER SYSTEM PLANNING , 1978 .

[6]  Thomas M. Walski,et al.  Energy efficiency through pipe design , 1983 .

[7]  J. Bertin Engineering fluid mechanics , 1984 .

[8]  Warren Viessman,et al.  Water supply and pollution control , 1985 .

[9]  Anthony J. Tarquin,et al.  Optimal Pump Operation in Water Distribution , 1989 .

[10]  Larry W. Mays,et al.  Methodology for Optimal Operation of Pumping Stations in Water Distribution Systems , 1991 .

[11]  Thomas M. Walski Tips for Saving Energy in Pumping Operations , 1993 .

[12]  Kevin E Lansey,et al.  Optimal Pump Operations Considering Pump Switches , 1994 .

[13]  G. Yu,et al.  Optimized pump scheduling in water distribution systems , 1994 .

[14]  Shahram Pezeshk,et al.  Adaptive Search Optimization in Reducing Pump Operating Costs , 1996 .

[15]  Dragan Savic,et al.  Genetic Algorithms for Least-Cost Design of Water Distribution Networks , 1997 .

[16]  Mark W. LeChevallier,et al.  Energy management opportunities , 1998 .

[17]  Roger W. Meier,et al.  Sampling Design for Network Model Calibration Using Genetic Algorithms , 2000 .

[18]  S. Postel Entering an era of water scarcity: the challenges ahead. , 2000 .

[19]  Maria da Conceição Cunha,et al.  Hydraulic infrastructures design using simulated annealing , 2001 .

[20]  Winston Harrington,et al.  U.S. drinking water challenges in the twenty-first century. , 2002, Environmental health perspectives.

[21]  Dragan Savic,et al.  CHAPTER FIVE Whole Life Cost Accounting Framework Implementation , 2002 .

[22]  Maarten A. Siebel,et al.  Improving eco-efficiency of Amsterdam water supply: A LCA approach , 2002 .

[23]  B. Weinhold East or West, Cardiac Arrest: Air Pollution Effects Similar Worldwide , 2002 .

[24]  Bryan W. Karney,et al.  Energy and Costs of Leaky Pipes: Toward Comprehensive Picture , 2002 .

[25]  R. Cohen Handbook of Water Use and Conservation , 2002 .

[26]  D. V. Chase,et al.  Advanced Water Distribution Modeling and Management , 2003 .

[27]  Bryan W. Karney,et al.  Sources of error in network modeling: A question of perspective , 2003 .

[28]  Bryan W. Karney,et al.  Life-cycle energy analysis of a water distribution system , 2004 .

[29]  Dragan Savic,et al.  The Simultaneous Multi-Objective Optimization of Anytown Pipe Rehabilitation, Tank Sizing, Tank Siting, and Pump Operation Schedules , 2004 .

[30]  Dragan Savic,et al.  Trade-off between Total Cost and Reliability for Anytown Water Distribution Network , 2005 .

[31]  Angela Arpke,et al.  Operational life-cycle assessment and life-cycle cost analysis for water use in multioccupant buildings , 2005 .

[32]  Bryan W. Karney,et al.  Linking Health Concepts in the Assessment and Evaluation of Water Distribution Systems , 2005 .

[33]  Bogumil Ulanicki,et al.  Dynamic Optimization Approach for Solving an Optimal Scheduling Problem in Water Distribution Systems , 2007 .

[34]  Angus R. Simpson,et al.  Ant Colony Optimization Applied to Water Distribution System Design: Comparative Study of Five Algorithms , 2007 .

[35]  Zoran Kapelan,et al.  Robust Least-Cost Design of Water Distribution Networks Using Redundancy and Integration-Based Methodologies , 2007 .

[36]  Brian D. Barkdoll,et al.  Effect of Demand on Energy Use in Municipal Water Distribution Systems , 2008 .

[37]  Santosh R. Ghimire The effect of demand, tank parameters, and pumping stations on energy use in municipal drinking water distribution systems , 2008 .

[38]  Avi Ostfeld,et al.  The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms , 2008 .

[39]  Sanjay Gaur,et al.  Water conservation made legal: Water budgets and California law , 2009 .

[40]  Brian D. Barkdoll,et al.  Impact of Storage Tanks on Energy Consumption in Municipal Water Distribution Systems , 2009 .