Abstract
This article composes a systematic design methodology to obtain optimal parameters of the Tesla turbine, which is applicable in water distribution systems, faced with the need to supply power for wireless sensors and other components used in smart water networks and the challenges associated with the feasibility of Tesla turbine in a small scale. The optimal geometric model is sought by using a theoretical model relating turbine physical properties and flow conditions to power output by solving Navier–Stokes equations for steady laminar incompressible flow between adjacent disks. The model shows that the proposed design with dimensions and flow conditions relevant to water pipe networks can achieve a power output of 1.55 mW using a 2.5-cm diameter turbine given a pressure difference of 140 Pa. At 70 Pa using a 1-cm diameter turbine, a power output of 0.17 mW can be obtained. This study shows a great potential in application of Tesla turbine for energy harvesting in water distribution systems.
Issue Section:
Energy Systems Analysis
Keywords:
renewable energy
Topics:
Energy harvesting,
Turbines,
Water distribution,
Design,
Disks,
Pressure,
Nozzles,
Flow (Dynamics),
Water
References
1.
Zhou
, B.
, Liu
, A.
, Wang
, X.
, She
, Y.
, and Lau
, V.
, 2018
, “Compressive Sensing-Based Multiple-Leak Identification for Smart Water Supply Systems
,” IEEE Internet Things J.
, 5
(2
), pp. 1228
–1241
. 10.1109/JIOT.2018.28121632.
Quadflieg
, T.
, Goldfeld
, Y.
, Dittel
, G.
, and Gries
, T.
, 2018
, “New Age Advanced Smart Water Pipe Systems Using Textile Reinforced Concrete
,” Procedia Manuf.
, 21
, pp. 376
–383
. 10.1016/j.promfg.2018.02.1343.
Radhakrishnan
, V.
, and Wu
, W.
, 2018
, “IoT Technology for Smart Water System
,” 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
, Exeter, UK
, June 28–30
. https://dx.doi.org/ 10.1109/HPCC/SmartCity/DSS.2018.002464.
Bragalli
, C.
, Neri
, M.
, and Toth
, E.
, 2019
, “Effectiveness of Smart Meter-Based Urban Water Loss Assessment in a Real Network With Synchronous and Incomplete Readings
,” Environ. Modell. Software
, 112
, pp. 128
–142
. 10.1016/j.envsoft.2018.10.0105.
Mounce
, S. R.
, Khan
, A.
, Wood
, A.
, Day
, A.
, Widdop
, P.
, and Machell
, J.
, 2003
, “Sensor-Fusion of Hydraulic Data for Burst Detection and Location in a Treated Water Distribution System
,” Inform. Fusion
, 4
(3
), pp. 217
–229
. 10.1016/S1566-2535(03)00034-46.
Buchberger
, S. G.
, and Nadimpalli
, G.
, 2004
, “Leak Estimation in Water Distribution Systems by Statistical Analysis of Flow Readings
,” J. Water Resour. Plan. Manag.
, 130
(4
), pp. 321
–329
. 10.1061/(ASCE)0733-9496(2004)130:4(321)7.
Khan
, A.
, Widdop
, P. D.
, Day
, A. J.
, Wood
, A. S.
, Mounce
, S. R.
, and Machell
, J.
, 2005
, “Performance Assessment of Leak Detection Failure Sensors Used in a Water Distribution System
,” J. Water Supply Res. Technol. AQUA
, 54
(1
), pp. 25
–36
. 10.2166/aqua.2005.00038.
Traum
, M. J.
, 2011
, “Harvesting Built Environments for Accessible Energy Audit Training
,” Proceedings of the 2nd International Conference on the Constructed Environment
, Chicago, IL
, Oct. 29–30
.9.
Ye
, G.
, and Soga
, K.
, 2012
, “Energy Harvesting From Water Distribution Systems
,” J. Energy Eng.
, 138
(1
), pp. 7
–17
. 10.1061/(ASCE)EY.1943-7897.000005710.
Sadeghioon
, A. M.
, Metje
, N.
, Chapman
, D. N.
, and Anthony
, C. J.
, 2014
, “SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines
,” J. Sens. Actuator Netw.
, 3
(1
), pp. 64
–78
. 10.3390/jsan301006411.
Metje
, N.
, Chapman
, D. N.
, Cheneler
, D.
, Ward
, M.
, and Thomas
, A. M.
, 2011
, “Smart Pipes—Instrumented Water Pipes, Can This Be Made a Reality?
,” Sensors
, 11
(8
), pp. 7455
–7475
. 10.3390/s11080745512.
Prauzek
, M.
, Konecny
, J.
, Borova
, M.
, Janosova
, K.
, Hlavica
, J.
, and Musilek
, P.
, 2018
, “Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review
,” Sensors
, 18
(8
), p. 2446
. 10.3390/s1808244613.
Zhou
, G.
, Huang
, L.
, Li
, W.
, and Zhu
, Z.
, 2014
, “Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey
,” J. Sensors
, 2014
, pp. 1
–20
. 10.1155/2014/81546714.
Raghunathan
, V. K. A.
, Hsu
, J.
, Friedman
, J.
, and Srivastava
, M.
, 2005
, “Design Considerations for Solar Energy Harvesting Wireless Embedded Systems
,” Proceedings of the 4th International Symposium on Information Processing in Sensor Networks
, Boise, ID
, Apr. 15
. http://dx.doi.org/10.1109/IPSN.2005.144097315.
Glynne-Jones
, P.
, Tudor
, M.
, Beeby
, S. P.
, and White
, N. M.
, 2004
, “An Electromagnetic, Vibration-Powered Generator for Intelligent Sensor Systems
,” Sens. Actuators, A
, 110
(1–3
), pp. 344
–349
. 10.1016/j.sna.2003.09.04516.
Beeby
, S. P.
, Torah
, R. N.
, Tudor
, M. J.
, Glynne-Jones
, P.
, O'Donnell
, T.
, Saha
, C. R.
, and Roy
, S.
, 2007
, “A Micro Electromagnetic Generator for Vibration Energy Harvesting
,” J. Micromech. Microeng.
, 17
(7
), pp. 1257
–1265
. 10.1088/0960-1317/17/7/00717.
Cunefare
, K. A.
, Skow
, E. A.
, Erturk
, A.
, Savor
, J.
, Verma
, N.
, and Cacan
, M. R.
, 2013
, “Energy Harvesting From Hydraulic Pressure Fluctuations
,” Smart Materials Structures
, 22
(2
), p. 025036
. 10.1088/0964-1726/22/2/02503618.
Zhang
, X.
, 2019
, Design and Optimization of an mhd Energy Harvester for Intelligent Pipe Systems
, MIT
, Boston, MA
.19.
Derakhshan
, S.
, and Kasaeian
, N.
, 2014
, “Optimization, Numerical, and Experimental Study of a Propeller Pump as Turbine
,” ASME J. Energy Resour. Technol.
, 136
(1
), p. 012005
. 10.1115/1.402631220.
Tesla
, N.
, 1913
, U.S. Patent 1,061,206
.21.
Boyd
, K. E.
, and Rice
, W.
, 1968
, “Laminar Inward Flow of an Incompressible Fluid Between Rotating Disks, With Full Peripheral Admission
,” ASME J. Appl. Mech.
, 35
(2
), pp. 229
–237
. 10.1115/1.360118522.
Rice
, W.
, 1965
, “An Analytical and Experimental Investigation of Multiple-Disk Turbines
,” J. Eng. Power
, 87
(1
), pp. 29
–35
. 10.1115/1.367813423.
Matsch
, L.
, and Rice
, W.
, 1968
, “An Asymptotic Solution for Laminar Flow of an Incompressible Fluid Between Rotating Disks
,” ASME J. Appl. Mech.
, 35
(1
), pp. 155
–159
. 10.1115/1.360113024.
Lawn
, M. L.
, and Rice
, W.
, 1974
, “Calculated Design Data for the Multiple-Disk Turbine Using Incompressible Fluid
,” ASME J. Fluid. Eng.
, 96
(3
), pp. 252
–258
. 10.1115/1.344714825.
Truman
, C. R.
, Rice
, W.
, and Jankowski
, D. F.
, 1978
, “Laminar Throughflow of Varying-Quality Steam Between Corotating Disks
,” ASME J. Fluid. Eng.
, 100
(2
), pp. 194
–200
. 10.1115/1.344862926.
Hoya
, G. P.
, and Guha
, A.
, 2009
, “Design of a Test Rig and Study of the Performance and Efficiency of a Tesla Disc Turbine
,” J. Power Energy
, 223
(4
), pp. 451
–465
. 10.1243/09576509JPE66427.
Guha
, A.
, and Sengupta
, S.
, 2014
, “Similitude and Scaling Laws for the Rotating Flow Between Concentric Discs
,” J. Power Energy
, 228
(4
), pp. 429
–439
. 10.1177/095765091452394728.
Deng
, Q.
, Qi
, W.
, and Feng
, Z.
, 2013
, “Improvement of a Theoretical Analysis Method for Tesla Turbines
,” Proceedings of ASME Turbo Expo 2013
, San Antonio, TX
, June 3–7
, Paper No. GT2013-95425, p. V06CT40A012; pp. 1
–14
. https://doi.org/10.1115/GT2013-9542529.
Qi
, W.
, Deng
, Q.
, Feng
, Z.
, and Yuan
, Q.
, 2016
, “Influence of Disc Spacing Distance on the Aerodynamic Performance and Flow Field of Tesla Turbines
,” Proceedings of ASME Turbo Expo 2016
, Seoul, South Korea
, June 13–17
, Paper No. GT2016-57971, p. V008T23A035; 1–10. https://doi.org/10.1115/GT2016-5797130.
Guha
, A.
, and Sengupta
, S.
, 2014
, “The Fluid Dynamics of Work Transfer in the Non-Uniform Viscous Rotating Flow Within a Tesla Disc Turbomachine
,” Phys. Fluids
, 26
(3
), p. 033601
. 10.1063/1.486626331.
Yang
, Z.
, Weiss
, H. L.
, and Traum
, M. J.
, 2013
, “Gas Turbine Dynamic Dynamometry: A New Energy Engineering Laboratory Module
,” Proceedings of the 2013 American Society for Engineering Education (ASEE) North Midwest Section Conference
, Fargo, ND
, Oct. 17–18
, ASEE-NMWSC2013-0023.32.
Usman
, M.
, Khan
, S.
, Ali
, E.
, Maqsood
, M. I.
, and Nawaz
, H.
, 2013
, “Modern Improved and Effective Design of Boundary Layer Turbine for Robust Control and Efficient Production of Green Energy
,” J. Physics: Conference Series
, 439
(1
), p. 012043
. 10.1088/1742-6596/439/1/01204333.
Alrabie
, M. S.
, Altamimi
, F. N.
, Altarrgemy
, M. H.
, Hadi
, F.
, Akbar
, M. K.
, and Traum
, M. J.
, 2017
, “Method to Design a Hydro Tesla Turbine for Sensitivity to Varying Laminar Reynolds Number Modulated by Changing Working Fluid Viscosity
,” Proceedings of 2017 ASME Power and Energy Conference
, Charlotte, NC
, June 26–30
, Paper No. ES2017-3442, V001T07A004; 1–10https://doi.org/10.1115/ES2017-3442.34.
Traum
, M.
, and Weiss
, H.
, 2019
, “Tiny Tesla Turbine Analytical Performance Validation Via Dynamic Dynamometry
,” Proceedings of the SUPEHR19 SUstainable PolyEnergy Generation and HaRvesting (SUPEHR’19)
, Savona, Italy
, Article No. 03024, pp. 1
–8
, Energy Micropolygeneration and Harvesting. https://doi.org/10.1051/e3sconf/20191130302435.
Emran
, T.
, Alexander
, R.
, Stallings
, C.
, DeMay
, M.
, and Traum
, M.
, 2010
, “Method to Accurately Estimate Tesla Turbine Stall Torque for Dynamometer or Generator Load Selection
,” ASME Early Career Tech. J.
, 10
, pp. 158
–164
.36.
Rice
, W.
, 1991
, “Tesla Turbomachinery
,” Proceedings of 4th International Tesla Symposium
, Belgrade, Yugoslavia
, Sept. 22–25
, Serbian Academy of Sciences and Arts.37.
Gupta
, H. E.
, and Kodali
, S. P.
, 2013
, “Design and Operation of Tesla Turbo Machine—A State of the Art Review
,” Int. J. Adv. Transport Phenomena
, 2
(1
), pp. 7
–14
.38.
Romanin
, V. D.
, Krishnan
, V. G.
, Maharbiz
, M. M.
, and Carey
, V. P.
, 2012
, “Experimental and Analytical Study of Sub-Watt Scale Tesla Turbine Performance
,” Proceedings of ASME 2012 International Mechanical Engineering Congress and Exposition
, Houston, TX
, Nov. 9–15
, pp. 1005
–1014
.39.
Pandey
, R. J.
, Pudasaini
, S.
, Dhakal
, S.
, Uprety
, R. B.
, and Neopane
, H. P.
, 2014
, “Design and Computational Analysis of 1kW Tesla Turbine
,” Int. J. Sci. Res. Pub.
, 4
(11
), pp. 314
–318
.40.
Hasan
, A.
, and Benzamia
, A.
, 2014
, “Investigating the Impact of Air Temperature on the Performance of a Tesla Turbine Using CFD Modeling
,” Int. J. Eng. Innovation Res.
, 3
(6
), pp. 794
–802
.41.
Lampart
, P.
, and Jędrzejewski
, L.
, 2011
, “Investigation of Aerodynamics of Tesla Bladeless Microturbines
,” J. Theoretical Appl. Mech.
, 49
(2
), pp. 477
–499
.42.
Choon
, T. W.
, Rahman
, A. A.
, Jer
, F. S.
, and Lim
, E. A.
, 2011
, “Optimization of Tesla Turbine Using Computational Fluid Dynamics Approach
,” Proceedings of 2011 IEEE Symposium on Industrial Electronics and Applications (ISIEA)
, Langkawi, Malaysia
, Sept. 25–28
http://dx.doi.org/10.1109/ISIEA.2011.6108756.43.
Fenzhu Jia
, B. Y.
, Zhoua
, Y.
, Dub
, F.
, Zhuc
, H.
, Zhaob
, S.
, Lib
, G.
, Zhud
, X.
, and Ding
, S.
, 2019
, “Investigation on Performance and Implementation of Tesla Turbine in Engine Waste Heat Recovery
,” Energy Conservation Manage.
, 179
, pp. 326
–338
. 10.1016/j.enconman.2018.10.07144.
Placco
, G. M.
, and Guimarães
, L. N. F.
, 2020
, “Power Analysis on a 70-mm Rotor Tesla Turbine
,” ASME J. Energy Resour. Technol.
, 142
(3
), p. 031202
. 10.1115/1.404456945.
Carey
, V. P.
, 2010
, “Assessment of Tesla Turbine Performance for Small Scale Solar Rankine Combined Heat and Power Systems
,” ASME J. Eng. Gas Turbines Power
, 132
(12
), p. 122301
10.1115/1.400135646.
Ho-Yan
, B. P.
, 2011
, “Tesla Turbine for Pico Hydro Applications
,” Guelph Eng. J.
, pp. 1
–8
.47.
Liu
, S.
, Yin
, H.
, Xiong
, Y.
, and Xiao
, X.
, 2017
, “A Comparative Analysis of Single Nozzle and Multiple Nozzles Arrangements for Syngas Combustion in Heavy Duty Gas Turbine
,” ASME J. Energy Resour. Technol.
, 139
(2
), p. 022004
. 10.1115/1.403423248.
Traum
, M. J.
, Hadi
, F.
, and Akbar
, M. K.
, 2018
, “Extending “Assessment of Tesla Turbine Performance Model for Sensitivity-Focused Experimental Design
,” ASME J. Energy Resour. Technol.
, 140
(3
), p. 032005
. 10.1115/1.403796749.
The Engineering ToolBox
, 2003
, “Maximum Flow Velocities in Water Systems
,” https://www.engineeringtoolbox.com/flow-velocity-water-pipes-d_385.html, Accessed January 20, 2020.50.
Council
, N. R.
, 2006
, Drinking Water Distribution Systems: Assessing and Reducing Risks
, The National Academies Press
, Washington, DC
.51.
Krishnan
, V.
, 2015
, “Design and Fabrication of cm-Scale Tesla Turbines
,” UC Berkeley Electronic Theses and Dissertations
, University of California, Berkeley
, Berkeley, CA
.52.
Romanin
, V. D.
, 2012
, “Theory and Performance of Tesla Turbines
,” UC Berkeley Electronic Theses and Dissertations
, University of California, Berkeley
, Berkeley, CA
.53.
Williamson
, S. J.
, Stark
, B. H.
, and Booker
, J. D.
, 2014
, “Low Head Pico Hydro Turbine Selection Using a Multicriteria Analysis
,” Renewable Energy
, 61
, pp. 43
–50
. https://doi.org/10.1016/j.renene.2012.06.02054.
Razak
, J. A.
, Yusoff
, A. B.
, Alghoul
, M.
, Zainol
, M. S. Z. A.
, and Sopian
, K.
, 2010
, “Application of Crossflow Turbine in off-Grid Pico Hydro Renewable Energy System
,” Recent Adv. Appl. Math.
, pp. 519
–526
.Copyright © 2020 by ASME
You do not currently have access to this content.
