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Enhancing Web-Spatial DSS interactivity with parallel computing: The case of bio-energy economic assessment in Greece

Author

Listed:
  • Dimitris Kremmydas

    (Agricultural Economics and Rural Development Department, Agricultural University of Athens)

  • M.I. Haque

    (Agricultural Economics and Rural Development Department, Agricultural University of Athens)

  • Stelios Rozakis

    (Agricultural Economics and Rural Development Department, Agricultural University of Athens)

Abstract

A web based Spatial Decision Support System (web SDSS) has been implemented in Thessaly, the most significant arable cropping region in Greece, in order to evaluate selected energy crop supply. The web SDSS uses an optimization module to support the decision process, incorporating user input from the web user interface then launching mathematical programming profit maximizing farm models. Energy to biomass raw material cost is provided in supply curve form incorporating physical land suitability for crops, farm structure and Common Agricultural Policy (CAP) scenarios. In order to generate biomass supply curves the optimization problem is parametrically solved for a number of steps within a price range determined by the user. The more advanced technique used to solve the MP model, the higher the delay of response to the user. We are examining how effectively we can reduce the web SDSS response time to the user requests using parallel solving of the corresponding optimization problem. The results are encouraging, as the total solution time drops significantly as the problem’s size is increased, improving the users’ experience.

Suggested Citation

  • Dimitris Kremmydas & M.I. Haque & Stelios Rozakis, 2011. "Enhancing Web-Spatial DSS interactivity with parallel computing: The case of bio-energy economic assessment in Greece," Working Papers 2011-2, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2011-2
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    References listed on IDEAS

    as
    1. van der Hilst, F. & Dornburg, V. & Sanders, J.P.M. & Elbersen, B. & Graves, A. & Turkenburg, W.C. & Elbersen, H.W. & van Dam, J.M.C. & Faaij, A.P.C., 2010. "Potential, spatial distribution and economic performance of regional biomass chains: The North of the Netherlands as example," Agricultural Systems, Elsevier, vol. 103(7), pages 403-417, September.
    2. Robert Fourer & Jun Ma & Kipp Martin, 2010. "Optimization Services: A Framework for Distributed Optimization," Operations Research, INFORMS, vol. 58(6), pages 1624-1636, December.
    3. Michael Creel & William Goffe, 2008. "Multi-core CPUs, Clusters, and Grid Computing: A Tutorial," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 353-382, November.
    4. Rozakis, Stelios, 2011. "Impacts of flatter rates and environmental top-ups in Greece: A novel mathematical modeling approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(2).
    5. Michael R. Bussieck & Michael C. Ferris & Alexander Meeraus, 2009. "Grid-Enabled Optimization with GAMS," INFORMS Journal on Computing, INFORMS, vol. 21(3), pages 349-362, August.
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    Citations

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    Cited by:

    1. Zafeiriou, Eleni & Petridis, Konstantinos & Karelakis, Christos & Arabatzis, Garyfallos, 2016. "Optimal combination of energy crops under different policy scenarios; The case of Northern Greece," Energy Policy, Elsevier, vol. 96(C), pages 607-616.

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    More about this item

    Keywords

    Web Spatial Decision Support System; Parallel Computing; Mathematical Programming; Energy Crop Supply;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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