0
Research Papers: Energy Systems Analysis

Impact of Air Quality and Site Selection on Gas Turbine Engine Performance

[+] Author and Article Information
David W. MacPhee

Department of Mechanical Engineering,
The University of Alabama,
Tuscaloosa, AL 35487
e-mail: dwmacphee@ua.edu

Asfaw Beyene

Department of Mechanical Engineering,
San Diego State University,
San Diego, CA 92182
e-mail: abeyene@mail.sdsu.edu

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received January 30, 2017; final manuscript received September 26, 2017; published online October 17, 2017. Assoc. Editor: George Tsatsaronis.

J. Energy Resour. Technol 140(2), 020903 (Oct 17, 2017) (7 pages) Paper No: JERT-17-1049; doi: 10.1115/1.4038118 History: Received January 30, 2017; Revised September 26, 2017

Air pollution can have detrimental effects on gas turbine performance leading to blade fouling, which reduces power output and requires frequent cleanings. This issue is a fairly well-known phenomenon in the power industry. However, site selection for gas turbine installation on the basis of air quality is rarely part of the decision-making process, mainly due to lack of geographical options especially in an urban environment or perhaps due to a simple assumption that air quality at a local micro-level has no impact on the performance of the engine. In this paper, we perform a computational fluid dynamics (CFD) study on an area surrounding a combined heat and power (CHP) facility to assess the impact of local wind distribution on air quality and the performance of a gas turbine engine. Several aerodynamic properties are suggested as possible indicators of air quality and/or high airborne particulate concentration. These indicators are then compared to data collected at various points in and around the site. The results suggest that through post-processing of a simplified CFD simulation analyzing the adjacent terrain, a continuous map of field variables can be obtained and help designers locate future CHP or gas turbine power plants in regions of lower particulate concentrations. This, in turn, would greatly increase efficiency and cost-effectiveness of the proposed power plant.

FIGURES IN THIS ARTICLE
<>
Copyright © 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Li, X.-X. , Liu, C.-H. , Leung, D. Y. , and Lam, K. , 2006, “ Recent Progress in CFD Modelling of Wind Field and Pollutant Transport in Street Canyons,” Atmos. Environ., 40(29), pp. 5640–5658. [CrossRef]
Yamartino, R. J. , and Wiegand, G. , 1986, “ Development and Evaluation of Simple Models for the Flow, Turbulence and Pollutant Concentration Fields Within an Urban Street Canyon,” Atmos. Environ. (1967), 20(11), pp. 2137–2156. [CrossRef]
Chan, T. , Dong, G. , Leung, C. , Cheung, C. , and Hung, W. , 2002, “ Validation of a Two-Dimensional Pollutant Dispersion Model in an Isolated Street Canyon,” Atmos. Environ., 36(5), pp. 861–872. [CrossRef]
Berkowicz, R. , 2000, “ OSPM—A Parameterised Street Pollution Model,” Urban Air Quality: Measurement, Modelling and Management, Springer, Dordrecht, The Netherlands, pp. 323–331. [CrossRef]
Tominaga, Y. , and Stathopoulos, T. , 2011, “ CFD Modeling of Pollution Dispersion in a Street Canyon: Comparison Between LES and RANS,” J. Wind Eng. Ind. Aerodyn., 99(4), pp. 340–348. [CrossRef]
Lee, I. , and Park, H. , 1994, “ Parameterization of the Pollutant Transport and Dispersion in Urban Street Canyons,” Atmos. Environ., 28(14), pp. 2343–2349. [CrossRef]
DeMasi-Marcin, J. T. , and Gupta, D. K. , 1994, “ Protective Coatings in the Gas Turbine Engine,” Surf. Coat. Technol., 68–69, pp. 1–9. [CrossRef]
Meher-Homji, C. B. , Chaker, M. , and Motiwalla, H. , 2001, “ Gas Turbine Performance Deterioration,” 30th Turbomachinery Symposium, Houston, TX, Sept. 17–20, pp. 139–175.
Diakunchak, I. S. , 1992, “ Performance Deterioration in Industrial Gas Turbines,” ASME J. Eng. Gas Turbines Power, 114(2), pp. 161–168. [CrossRef]
Kurz, R. , and Brun, K. , 2001, “ Degradation in Gas Turbine Systems,” ASME J. Eng. Gas Turbines Power, 123(1), pp. 70–77. [CrossRef]
Hyvärinen, A. , and Segalini, A. , 2017, “ Effects From Complex Terrain on Wind-Turbine Performance,” ASME J. Energy Resour. Technol., 139(5), p. 051205. [CrossRef]
Blocken, B. B. , Tominaga, Y. , and Stathopoulos, T. , 2013, “ CFD Simulation of Micro-Scale Pollutant Dispersion in the Built Environment,” Build. Environ., 64, pp. 225–230. [CrossRef]
Forthofer, J. M. , 2007, “ Modeling Wind in Complex Terrain for use in Fire Spread Prediction,” Ph.D. thesis, Colorado State University, Fort Collins, CO.
Franco, J. A. , Jauregui, J. C. , and Toledano-Ayala, M. , 2015, “ Optimizing Wind Turbine Efficiency by Deformable Structures in Smart Blades,” ASME J. Energy Resour. Technol., 137(5), p. 051206. [CrossRef]
Jackson, R. S. , and Amano, R. , 2017, “ Experimental Study and Simulation of a Small-Scale Horizontal-Axis Wind Turbine,” ASME J. Energy Resour. Technol., 139(5), p. 051207. [CrossRef]
Wilcox, D. C. , 2010, Turbulence Modeling for CFD, 3rd ed., DCW Industries, La Cañada, CA. [PubMed] [PubMed]
Blocken, B. , Carmeliet, J. , and Stathopoulos, T. , 2007, “ CFD Evaluation of Wind Speed Conditions in Passages Between Parallel Buildings-Effect of Wall-Function Roughness Modifications for the Atmospheric Boundary Layer Flow,” J. Wind Eng. Ind. Aerodyn., 95(9), pp. 941–962. [CrossRef]
Meroney, R. N. , Leitl, B. M. , Rafailidis, S. , and Schatzmann, M. , 1999, “ Wind-Tunnel and Numerical Modeling of Flow and Dispersion About Several Building Shapes,” J. Wind Eng. Ind. Aerodyn., 81(1), pp. 333–345. [CrossRef]
Jasak, H. , Jemcov, A. , and Tukovic, Z. , 2007, “ Openfoam: A C++ Library for Complex Physics Simulations,” International Workshop on Coupled Methods in Numerical Dynamics, Dubrovnik, Croatia, Sept. 19–21, pp. 1–20.
Google, 2017, “ Google Earth,” Google, Mountain View, CA, accessed Oct. 11, 2017, http://earth.google.com
NREL, 2017, “ National Renewable Energy Laboratory: California—Average Annual Wind Speed at 80 m,” National Renewable Energy Laboratory, Golden, CO, accessed Oct. 11, 2017, https://windexchange.energy.gov/maps-data/12
Google, 2017, “ Google Maps,” Google, Mountain View, CA, accessed Oct. 11, 2017, http://maps.google.com

Figures

Grahic Jump Location
Fig. 1

Performance data for the two 5.2 MW turbines over a calendar year. Large jumps in performance indicate turbine cleansing events.

Grahic Jump Location
Fig. 2

Simplified computational domain

Grahic Jump Location
Fig. 3

Terrain under investigation, with simulation area shown in box. Circle indicates position of gas turbines. Adapted from Google Earth [20].

Grahic Jump Location
Fig. 4

Results of mesh size independence tests. Note: vertical axis shown in log scale.

Grahic Jump Location
Fig. 5

Discretized domain, showing (a) entire domain, (b) elevation, (c) elevation contours, and (d) ground grid spacing

Grahic Jump Location
Fig. 6

Pressure at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 7

Pressure gradient magnitude at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 8

Velocity magnitude at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 9

Turbulence kinetic energy at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 10

Turbulence dissipation at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 11

Wall shear stress magnitude at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 12

Inverse of wall shear stress magnitude at various specified heights above ground as compared to particle concentration

Grahic Jump Location
Fig. 13

Wall shear traction magnitude (top) and pressure (bottom) at the ground

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In