Joel Ducoste

Professor

  • 919-515-8150
  • Mann Hall 431E
  • View CV

Dr. Ducoste is a Professor in the Civil, Construction, and Environmental Engineering Department at North Carolina State University. He has over 20 years of modeling experience in a number of environmental and engineering applications. He is a Board Certified Environmental Engineering member of the American Academy of Environmental Engineers and Scientists (AAEES).

Dr. Ducoste is a recognized expert in modeling water and wastewater treatment processes using Computational Fluid Dynamics (CFD).  His current research interests include physico-chemical processes in water treatment, computational fluid dynamics modeling, water/wastewater process optimization, wastewater sewer collection system sustainability, energy recovery from waste streams, plant biosystems engineering, and solid waste process modeling.  Dr. Ducoste currently serves as a board member of the U.S. Environmental Protection Agency Chartered Science Advisory Board, board of directors for Association of Environmental Engineering and Science Professors (AEESP), board member of the International ultraviolet association (IUVA), International Association of Plumbing and Mechanical Officials (IAPMO) standards committee, IWA CFD Working Group, and board member of the North Carolina Fulbright Association.  He also serves as the ENE program representative for NCSU with AEESP. Dr. Ducoste is a member of AWWA, WEF, AEESP, IUVA, and a member of AAEES. Dr. Ducoste has served on advisory committees such EPA SAB Drinking Water Committee, EPA SAB Science Technology Awards Committee, EPA SAB Hydraulic Fracturing Committee, North Carolina House of Representative Offshore Energy Exploration Study Committee, WEF FOG Collection Systems Committee, Exploris Middle School Educational Excellence Committee, and Editorial Board Member: Journal of Environment Engineering ASCE.

Before his appointment at the university, Dr. Ducoste was a senior process engineer at CH2M HILL’s Water Business Group. He continues to participate as a senior consultant with nationally and internationally recognized firms in water and wastewater projects related to the application of CFD for analyzing designs and troubleshooting treatment problems. Dr. Ducoste also has experience in the design and construction of manufacturing processes for Fortune 100 companies.

Education

Ph.D. 1996

Civil and Environmental Engineering

University of Illinois, Urbana-Champaign

M.Eng 1989

Mechanical Engineering

Rensselaer Polytechnic Institute

B.S. 1988

Mechanical Engineering

Rensselaer Polytechnic Institute

Research Description

Dr. Ducoste is interested in the operation, design, and optimization of drinking water and wastewater treatment processes. He achieves these goals by incorporating novel experimental techniques and validated numerical models in the analysis of unit processes. He has research experience in the operation and design of chemical mixing, flocculation, sedimentation, and chemical and UV disinfection processes in drinking water treatment. Dr. Ducoste is an expert in modeling water and wastewater treatment process fluid mechanics using Computational Fluid Dynamics (CFD). He has developed CFD models for analysis of chemical and UV disinfection reactors, rapid mix chambers, flocculation basins, filtration systems, wastewater activated sludge systems, waste stabilization ponds, secondary clarifiers, and food waste systems. Dr Ducoste is also interested in modeling cellular regulatory and metabolic pathways and interfacing product formation to produce bioreactor models using CFD.

Publications

Assessing the impact of the 4CL enzyme complex on the robustness of monolignol biosynthesis using metabolic pathway analysis
Naik, P. and Wang, J. P. and Sederoff, R. and Chiang, V. and Williams, C. and Ducoste, J. J. (2018), PLoS One, 13(3), .
Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis
Wang, J. P. and Matthews, M. L. and Williams, C. M. and Shi, R. and Yang, C. M. and Tunlaya-Anukit, S. and Chen, H. C. and Li, Q. Z. and Liu, J. and Lin, C. Y. and Naik, P. and Sun, Y. H. and Loziuk, P. L. and Yeh, T. F. and Kim, H. and Gjersing, E. and Shollenberger, T. and Shuford, C. M. (2018), Nature Communications, 9(), .
Another grand challenge: Diversity in environmental engineering
Blaney, L. and Perlinger, J. A. and Bartelt-Hunt, S. L. and Kandiah, R. and Ducoste, J. J. (2017), Environmental Engineering Science, (), .
Attenuated total reflectance fourier transform infrared spectroscopy for determination of long chain free fatty acid concentration in oily wastewater using the double wavenumber extrapolation technique
Hao, Z. S. and Malyala, D. and Dean, L. and Ducoste, J. (2017), Talanta, 165(), 526-532.
Construction and setup of a bench-scale algal photosynthetic bioreactor with temperature, light, and ph monitoring for kinetic growth tests
Karam, A. L. and McMillan, C. C. and Lai, Y. C. and Reyes, F. L. and Sederoff, H. W. and Grunden, A. M. and Ranjithan, R. S. and Levis, J. W. and Ducoste, J. J. (2017), Jove-Journal of Visualized Experiments, (124), .
Heat generation and accumulation in municipal solid waste landfills
Hao, Z. S. and Sun, M. and Ducoste, J. J. and Benson, C. H. and Luettich, S. and Castaldi, M. J. and Barlaz, M. A. (2017), Environmental Science & Technology, 51(21), 12434-12442.
Modeling fats, oil and grease deposit formation and accumulation in sewer collection systems
Yousefelahiyeh, R. and Dominic, C. C. S. and Ducoste, J. (2017), Journal of Hydroinformatics, 19(3), 443-455.
A critical review of fat, oil, and grease (FOG) in sewer collection systems: Challenges and control
He, X. and Reyes, F. L. and Ducoste, J. J. (2017), Critical Reviews in Environmental Science and Technology, 47(13), 1191-1217.
A model to describe heat generation and accumulation at municipal solid waste landfills
Hao, Z. S. and Sun, M. and Ducoste, J. and Barlaz, M. (2017), Geotechnical Special Publication, (276), 281-288.
CFD for wastewater treatment: An overview
Samstag, R. W. and Ducoste, J. J. and Griborio, A. and Nopens, I. and Batstone, D. J. and Wicks, J. D. and Saunders, S. and Wicklein, E. A. and Kenny, G. and Laurent, J. (2016), Water Science and Technology, 74(3), 549-563.
Good modelling practice in applying computational fluid dynamics for WWTP modelling
Wicklein, E. and Batstone, D. J. and Ducoste, J. and Laurent, J. and Griborio, A. and Wicks, J. and Saunders, S. and Samstag, R. and Potier, O. and Nopens, I. (2016), Water Science and Technology, 73(5), 969-982.
Quantifying fat, oil, and grease deposit formation kinetics
Iasmin, M. and Dean, L. O. and Ducoste, J. J. (2016), Water Research, 88(), 786-795.
Structural characteristics and development of the cake layer in a dynamic membrane bioreactor
Xiong, J. L. and Fu, D. F. and Singh, R. P. and Ducoste, J. J. (2016), Separation and Purification Technology, 167(), 88-96.
Trends in population and demographics of US environmental engineering students and faculty from 2005 to 2013
Blaney, L. and Kandiah, R. and Ducoste, J. J. and Perlinger, J. A. and Bartelt-Hunt, S. L. (2016), Environmental Engineering Science, 33(8), 578-590.
Clustering and differential alignment algorithm: Identification of early stage regulators in the Arabidopsis thaliana iron deficiency response
Koryachko, A. and Matthiadis, A. and Muhammad, D. and Foret, J. and Brady, S. M. and Ducoste, J. J. and Tuck, J. and Long, T. A. and Williams, C. (2015), PLoS One, 10(8), .
Computational fluid dynamics modeling alternatives for UV-initiated advanced oxidation processes
Ducoste, J. J. and Alpert, S. M. (2015), Water Quality Research Journal of Canada, 50(1), 4-20.
Heuristic optimization of a continuous flow point-of-use UV-LED disinfection reactor using computational fluid dynamics
Jenny, R. M. and Jasper, M. N. and Simmons, O. D. and Shatalov, M. and Ducoste, J. J. (2015), Water Research, 83(), 310-318.
Population balance models: a useful complementary modelling framework for future WWTP modelling
Nopens, I. and Torfs, E. and Ducoste, J. and Vanrolleghem, P. A. and Gernaey, K. V. (2015), Water Science and Technology, 71(2), 159-167.
Enhanced nitrogen removal by rice husk amended dynamic membrane bioreactors
Fu, D. F. and Kai, H. and Singh, R. P. and Ducoste, J. J. (2014), Journal of Environmental Engineering (New York, N.Y.), 140(11), .
Factors that influence properties of FOG deposits and their formation in sewer collection systems
Iasmin, M. and Dean, L. O. and Lappi, S. E. and Ducoste, J. J. (2014), Water Research, 49(), 92-102.
Modeling a continuous flow ultraviolet Light Emitting Diode reactor using computational fluid dynamics
Jenny, R. M. and Simmons, O. D. and Shatalov, M. and Ducoste, J. J. (2014), Chemical Engineering Science, 116(), 524-535.
Systems biology of lignin biosynthesis in Populus trichocarpa: Heteromeric 4-Coumaric zcid: Coenzyme A ligase protein complex formation, regulation, and numerical modeling
Chen, H. C. and Song, J. and Wang, J. P. and Lin, Y. C. and Ducoste, J. and Shuford, C. M. and Liu, J. and Li, Q. Z. and Shi, R. and Nepomuceno, A. and Isik, F. and Muddiman, D. C. and Williams, C. and Sederoff, R. R. and Chiang, V. L. (2014), Plant Cell, 26(3), 876-893.
A protocol for the use of computational fluid dynamics as a supportive tool for wastewater treatment plant modelling
Laurent, J. and Samstag, R. W. and Ducoste, J. M. and Griborio, A. and Nopens, I. and Batstone, D. J. and Wicks, J. D. and Saunders, S. and Potier, O. (2014), Water Science and Technology, 70(10), 1575-1584.
Mechanisms of fat, oil and grease (FOG) deposit formation in sewer lines
He, X. and Reyes, F. L. and Leming, M. L. and Dean, L. O. and Lappi, S. E. and Ducoste, J. J. (2013), Water Research, 47(13), 4451-4459.
Monolignol pathway 4-coumaric acid: Coenzyme a ligases in Populus trichocarpa: Novel specificity, metabolic regulation, and simulation of coenzyme a ligation fluxes
Chen, H. C. and Song, J. N. and Williams, C. M. and Shuford, C. M. and Liu, J. and Wang, J. P. and Li, Q. Z. and Shi, R. and Gokce, E. and Ducoste, J. and Muddiman, D. C. and Sederoff, R. R. and Chiang, V. L. (2013), Plant Physiology, 161(3), 1501-1516.
Understanding the spatial formation and accumulation of fats, oils and grease deposits in the sewer collection system
Dominic, C. C. S. and Szakasits, M. and Dean, L. O. and Ducoste, J. J. (2013), Water Science and Technology, 68(8), 1830-1836.
Anaerobic co-digestion of fat, oil, and grease (FOG): A review of gas production and process limitations
Long, J. H. and Aziz, T. N. and Reyes, F. L. and Ducoste, J. J. (2012), Process Safety and Environmental Protection, 90(3), 231-245.
Field characterization of external grease abatement devices
Aziz, T. N. and Holt, L. M. and Keener, K. M. and Groninger, J. W. and Ducoste, J. J. (2012), Water Environment Research, 84(3), 237-246.
Evidence for fat, oil, and grease (fog) deposit formation mechanisms in sewer lines
He, X. and Iasmin, M. and Dean, L. O. and Lappi, S. E. and Ducoste, J. J. and Reyes, F. L. (2011), Environmental Science & Technology, 45(10), 4385-4391.
Microbial UV fluence-response assessment using a novel UV-LED collimated beam system
Bowker, C. and Sain, A. and Shatalov, M. and Ducoste, J. (2011), Water Research, 45(5), 2011-2019.
Modeling tortuosity in thin fibrous porous media using computational fluid dynamics
Vallabh, R. and Ducoste, J. and Seyam, A. F. and Banks-Leel, P. (2011), Journal of Porous Media, 14(9), 791-804.
Optimization of waste stabilization pond design for developing nations using computational fluid dynamics
Olukanni, D. O. and Ducoste, J. J. (2011), Ecological Engineering, 37(11), 1878-1888.
Performance of grease abatement devices for removal of fat, oil, and grease
Aziz, T. N. and Holt, L. M. and Keener, K. M. and Groninger, J. W. and Ducoste, J. J. (2011), Journal of Environmental Engineering (New York, N.Y.), 137(1), 84-92.
Modeling hydroxyl radical distribution and trialkyl phosphates oxidation in UV-H2O2 photoreactors using computational fluid dynamics
Santoro, D. and Raisee, M. and Moghaddami, M. and Ducoste, J. and Sasges, M. and Liberti, L. and Notarnicola, M. (2010), Environmental Science & Technology, 44(16), 6233-6241.
Modeling the UV/hydrogen peroxide advanced oxidation process using computational fluid dynamics
Alpert, S. M. and Knappe, D. R. U. and Ducoste, J. J. (2010), Water Research, 44(6), 1797-1808.
Assessing the impact of upstream hydraulics on the dose distribution of ultraviolet reactors using fluorescence microspheres and computational fluid dynamics
Zhao, X. and Alpert, S. M. and Ducoste, J. J. (2009), Environmental Engineering Science, 26(5), 947-959.
Celebrating a milestone in population balance modeling
Nopens, I. and Briesen, H. and Ducoste, J. (2009), Chemical Engineering Science, 64(4), 627-627.
Application of non-biological surrogates for analysis of sequential disinfection continuous flow systems
Richards, B. and Ducoste, J. (2008), Aqua (London, England), 57(4), 225-238.
Properties influencing fat, oil, and grease deposit formation
Keener, K. M. and Ducoste, J. J. and Holt, L. M. (2008), Water Environment Research, 80(12), 2241-2246.
Numerical simulation of UV disinfection reactors: Evaluation of alternative turbulence models
Liu, D. and Wu, C. and Linden, K. and Ducoste, J. (2007), Applied Mathematical Modelling, 31(9), 1753-1769.
Simulation of flocculation in stirred vessels - Lagrangian versus Eulerian
Prat, O. P. and Ducoste, J. J. (2007), Chemical Engineering Research & Design, 85(A2), 207-219.
Comparative inactivation of Bacillus subtilis spores and MS-2 coliphage in a UV reactor: Implications for validation
Bohrerova, Z. and Mamane, H. and Ducoste, J. J. and Linden, K. G. (2006), Journal of Environmental Engineering (New York, N.Y.), 132(12), 1554-1561.
Effect of particles on ultraviolet light penetration in natural and engineered systems
Mamane, H. and Ducoste, J. J. and Linden, K. G. (2006), Applied Optics, 45(8), 1844-1856.
Impact of turbulent mixing on the performance of a CFD chloramine model
Liu, Y. J. and Ducoste, J. J. (2006), Environmental Engineering Science, 23(2), 341-356.
Modeling spatial distribution of floc size in turbulent processes using the quadrature method of moment and computational fluid dynamics
Prat, O. P. and Ducoste, J. J. (2006), Chemical Engineering Science, 61(1), 75-86.
Numerical simulation of chloramines formation in turbulent flow using a multi-fluid micromixing model
Liu, Y. J. and Ducoste, J. (2006), Environmental Modelling Review & Software: With Environmental Data News, 21(8), 1198-1213.
Alternative approaches to modeling fluence distribution and microbial inactivation in ultraviolet reactors: Lagrangian versus Eulerian
Ducoste, J. J. and Liu, D. and Linden, K. (2005), Journal of Environmental Engineering (New York, N.Y.), 131(10), 1393-1403.
Assessment of reduction equivalent fluence bias using computational fluid dynamics
Ducoste, J. and Linden, K. and Rokjer, D. and Liu, D. (2005), Environmental Engineering Science, 22(5), 615-628.
Determination of ultraviolet sensor location for sensor set-point monitoring using computational fluid dynamics
Ducoste, J. and Linden, K. (2005), Journal of Environmental Engineering and Science, 4(), S33-43.
Experimental measurements of fluence distribution in a UV reactor using fluorescent microspheres
Bohrerova, Z. and Bohrer, G. and Mohanraj, S. M. and Ducoste, J. and Linden, K. G. (2005), Environmental Science & Technology, 39(22), 8925-8930.
Impact of lamp shadowing and reflection on the fluence rate distribution in a multiple low-pressure UV lamp array
Jin, S. S. and Linden, K. G. and Ducoste, J. and Liu, D. (2005), Water Research, 39(12), 2711-2721.
UV disinfection of chlorinated water: impact on chlorine concentration and UV dose delivery
Ormeci, B. and Ducoste, J. J. and Linden, K. G. (2005), Aqua (London, England), 54(3), 189-199.
Evaluation of alternative fluence rate distribution models
Liu, D. and Ducoste, J. and Jin, S. and Linden, K. (2004), Aqua (London, England), 53(6), 391-408.
Modeling low-energy mixers for chemical dispersion in water treatment
Ortiz, V. and Ducoste, J. J. (2004), Environmental Engineering Science, 21(2), 241-261.
A non-biological surrogate for sequential disinfection processes
Baeza, C. and Ducoste, J. (2004), Water Research, 38(14-15), 3400-3410.
Characterizing flocculation under heterogeneous turbulence
Hopkins, D. C. and Ducoste, J. J. (2003), Journal of Colloid and Interface Science, 264(1), 184-194.
Modeling nitrogen transport in duckweed pond for secondary treatment of swine wastewater
Chaiprapat, S. and Cheng, J. Y. and Classen, J. J. and Ducoste, J. J. and Liehr, S. K. (2003), Journal of Environmental Engineering (New York, N.Y.), 129(8), 731-739.
Modeling of disinfection contactor hydraulics under uncertainty
Peplinski, D. K. and Ducoste, J. J. (2002), Journal of Environmental Engineering (New York, N.Y.), 128(11), 1056-1067.
Optimization of activated sludge designs using genetic algorithms
Doby, T. A. and Loughlin, D. H. and De Los Reyes, F. L. and Ducoste, J. J. (2002), Water Science and Technology, 45(6), 187-198.
A two-scale PBM for modeling turbulent flocculation in water treatment processes
Ducoste, J. J. (2002), Chemical Engineering Science, 57(12), 2157-2168.
The integrated disinfection design framework approach to reactor hydraulics characterization
Ducoste, J. and Carlson, K. and Bellamy, W. (2001), Aqua (London, England), 50(4), 245-261.
Determining disinfection needs
Bellamy, W. and Carlson, K. and Pier, D. and Ducoste, J. and Carlson, M. (2000), Journal (American Water Works Association), 92(5), 44-52.
Turbulence in flocculators: Comparison of measurements and CFD simulations
Ducoste, J. J. and Clark, M. M. (1999), AIChE Journal, 45(2), 432-436.
The influence of tank size and impeller geometry on turbulent flocculation: I. Experimental
Ducoste, J. J. and Clark, M. M. (1998), Environmental Engineering Science, 15(4), 215-224.
The influence of tank size and impeller geometry on turbulent flocculation: II. Model
Ducoste, J. J. and Clark, M. M. (1998), Environmental Engineering Science, 15(3), 225-235.

View all publications via NC State Libraries

Grants

LSAMP BD: North Carolina State University Preparing Researchers of the Future (PROF) NC-LSAMP
National Science Foundation (NSF)(7/01/18 - 6/30/20)
Using Microbial Ecology Theory to Understand Microbial Community Dynamics and Improve Function of Anaerobic Bioreactors
National Science Foundation (NSF)(8/01/18 - 7/31/21)
Collaborative Research: Modeling the regulatory network of InsP6 signaling in plants.
National Science Foundation (NSF)(8/15/16 - 1/31/19)
Evaluation of Alternative Binder Material to Reduce Sewer Collection system Infrastructure Maintenance and Enhance Sustainability
NCSU Water Resources Research Institute(3/01/16 - 6/30/19)
Quantifying the Grease Interceptor Effluent Fatty Acid concentration and Profile: Impact of Pump out Frequency
Emerson Electric Company(8/01/14 - 5/15/16)
Inducing Aerobic Granulation in Continuous-Flow Reactors using Shear Variability
National Science Foundation (NSF)(8/15/13 - 5/31/18)
EFRI-PSBR:Closing the Loop- Towards a PSBR Design Framework for Self-Sustained Marine Microalgal-Based Fuel Production
National Science Foundation (NSF)(9/01/13 - 8/31/19)
CREATIV Dynamic Regulatory Modeling of the Iron Deficiency Response in Arabidopsis thaliana
National Science Foundation (NSF)(8/15/12 - 7/31/19)
Assessment of Alternative Herbicides for Roots Intrusion Treatment
RootX Corp.(1/01/11 - 12/31/12)
Modeling of Cellulose, Hemicellulose and Lignin-Carbohydrate Complex Formation and Regulation to Understand Plant Cell Wall Structure
US Dept. of Energy (DOE)(9/01/11 - 11/30/17)