An Approach to Optimum Route and Site Selection of a Steam Gathering System for Geothermal Power Plants Using Multiple Weight Distance Transform

Abstract:

This article proposes a new approach to select the location for separators and routes for two phase flow pipelines in a geothermal steam gathering system. Multiple weight distance transform is presented and used to find the optimum location of site for a steam separator based on the flow capacity of geothermal wells. The routes are monotonic and the incline is slight in order to minimize the pressure drop and the slug flow conditions in the pipeline. A map with weighted distance for five wells shows the accessible area and the route from each well is calculated. The optimum site location reduces the total pipe length from all wells by 9%.

• Periodical: Applied Mechanics and Materials (Volumes 799-800)
• Pages: 1386-1392
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.799-800.1386
• Online since: October 2015
• Authors: Magnus Thor Jonsson*
• Keywords: Distance Transform, Geothermal, Route, Site Selection, Two Phase Flow

References

[1] Gopalakrishnan, T., and Sooda, K.: Comparison of genetic algorithm and simulated annealing techniquse for optimal path selection in network routing. National Conference on VLSI and Networks, (bls. 47-53). Chennai, (2009).

[2] Yavuz, K.: Multi-objective mission route planning using particle swarm optimization. Air Force Institute of Technology, (2004).

[3] Geem, Z., Lee, K., and Park, Y.: Application of harmony search to vehicle routing. American Journal of Applied Sciences 2 (12) (bls. 1552-1557). Science Publications, (2005).

DOI: 10.3844/ajassp.2005.1552.1557

[4] Bell, J., and McMullen, P.: Ant colony optimization techniques for the vehicle routing problem. Advanced Engineering Informatics 18 (bls. 41-48). Elsevier, (2004).

DOI: 10.1016/j.aei.2004.07.001

[5] Delavar, M. R. and Naghibi, F.: Pipeline Routing Using Geospatial Information System Analysis, Dept. of Surveying and Geomatic Engineering, University of Tehran, (2002).

[6] Douglas, D.H.: Least Cost Path in GIS Using Accumulated Cost Surface and Slope Lines, Cartographica, 31(3), pp.37-51, (1994).

DOI: 10.3138/d327-0323-2jut-016m

[7] Rosenfeld, A., & Pfaltz, J.: Distance functions on digital pictures. Pattern Recognition, Vol 1 , 33-61, (1968).

DOI: 10.1016/0031-3203(68)90013-7

[8] Butt, M., & Maragos, P.: Optimal design of chamfer distance transforms. Atlanta, GA: Georgia Institute of Technology, (1996).

[9] Smith, M. J.: Distance transforms as a new tool in spatial analysis, urban planning and GIS, Environment and Planning B: Planning and Design, 31(1) pp.85-104, (2005).

DOI: 10.1068/b29123

[10] Smith, M. J.: Determination of gradient and curvature constrained optimal paths. Centre for Advanced Spatial Analysis, University College London, (2004).

[11] Hlynur Kristinsson, Magnus T. Jonsson and Fjóla Jónsdóttir, Pipe Route Design using Variable Topography Distance Transforms, Proceedings of DETC'05, ASME Design Engineering Technical Conferences, Long Beach, California, USA, September 24-28, (2005).

DOI: 10.1115/detc2005-85342

[12] Kjaernested, S.N. Jonsson, M. T, Palsson, H.: A methodology for optimal geothermal pipeline route selection with regards to visual effects using distance transform algorithms. Proceedings, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 - February 2, (2011).

DOI: 10.1115/detc2011-47766

[13] Kjaernested, S.N. Jonsson, M. T, Palsson, H.: Methodology for pipeline route selection using the NSGA II and distance transform algorithms. Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE August 29-31, Washington, DC, USA, (2011).

DOI: 10.1115/detc2011-47766