Identification of key challenges associated with the implementation of renovation & modernization (r & m) projects in India using factor analysis

  • Authors

    • Purnima Bajpai
    • Prof. K. Chandrashekhar Iyer
    • Shubham Bansal
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.25078
  • Renovation & Modernization (R & M), Factor Analysis, Challenges and Implementation.

  • The Renovation & modernization (R&M) of coal fired thermal power plants deals with making the power plants units well equipped with the latest technology and systems with an aim of improving their overall performance in terms of output and availability as compared to the original design values, reduce the maintenance cost and enhanced efficiency. The aim of this study was to identify the key challenges associated with implementation of R & M Projects in India. An exploratory study of 42 variables was conducted through factor analysis using the data obtained through a questionnaire survey approach The results obtained 6 key challenges , namely Contractual risks, funding risks, planning risks, regulatory risks, market related risks and management risks which hamper the rate of implementation of R & M Projects in India.

     

     

  • References

    1. [1] National Perspective Plan for Renovation, Modernization and Life Extension of Thermal Power stations (up to 2016-2017), Central Electricity Authority, December 2009.

      [2] Quarterly Review Report on Renovation, Modernization and Life Extension of Thermal Power Stations, Central Electricity Authority, 1st Quarter of 2012-13, (April – June; 2012) during 12th Plan.

      [3] Presentation on “Renovation &Modernization and Life Extension of Thermal Power Stations In Indiaâ€, Mr. Bhai Lal, Central Electricity Authority, October 2011.

      [4] Report on “Guidelines for Renovation and Modernization/Life Extension Works of Coal/Lignite Based Thermal Power Stationsâ€, Central Electricity Authority, October 2009.

      [5] Project Document on “India: Coal Fired Generation Rehabilitation Projectâ€, Global Environment Facility, April 2009.

      [6] Presentation on “Constraints to Acceleration of Renovation and Modernization (R&M) of Coal fired Power Generation Units in Indiaâ€, Mikul Bhatia, Energy Specialist, World Bank, Indo-German Symposium on Energy Efficiency, May 2008.

      [7] Presentation on “Renovation and Modernization (R&M)/Life Extension (LE) of power plants and financingâ€, Mr. Naveen Kumar, Executive Director, Power Finance Corporation Ltd., Conference on Renovation & Modernization of Power Plants: New Delhi, October, 2011.

      [8] Report on “Strengthening Operations and Maintenance Practices In State-Sector Coal-Fired Power Generation Plants in Indiaâ€, Sustainable Development Network, South Asia Region, Energy Sector Management Assistance Program (ESMAP), March 2009.

      [9] Shanmugam, K.R., and Praveen Kulshreshtha. 2005. Efficiency Analysis of Coal-Based Thermal Power Generation in India during Post-Reform Era. International Journal of Global Energy Issues 23(1): 15–28.

      [10] Singh, Anoop. 2006. Power Sector Reform in India: Current Issues and Prospects. Energy Policy 34(16): 2480–90.

      [11] Singh, Joga. 1991. Plant Size and Technical Efficiency in the Indian Thermal Power Industry. Indian Economic Review 26(2): 239–52.

      [12] Thakur, Tripta, S.G. Deshmukh, and S.C. Kaushik. 2006. Efficiency Evaluation of the State Owned Electric Utilities in India. Energy Policy 34(17): 2788–804.

      [13] The Energy and Resources Institute. 2009. TERI Energy Data Directory and Yearbook. New Delhi, India: The Energy and Resources Institute.

      [14] Tongia, R. 2003. The Political Economy of Indian Power Sector Reforms. Program on Energy and Sustainable Development working paper no. 4. Stanford University.

      [15] Cooper, W.W., Seiford, L.M. and Tone, K., 2007, Data envelopment analysis: a comprehensive text with models, applications, Springer Science + Business Media LLC, New York, USA.

      [16] Emrouznejad, A., Parker B and Tavares G., 2008, “Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEAâ€, Journal of Socio-Economics Planning Science, vol. 42, no. 3, pp. 151-157.

      [17] Zhou, P., Ang, B.W. and Poh, K.L., 2008, “A survey of Data Envelopment Analysis in energy and environmental studiesâ€, European Journal of Operational Research, vol. 189, no. 1, pp. 1-18.

      [18] Chitkara, P., 1999, “A data envelopment analysis approach to evaluation of operational in efficiencies in power generating units: A case study of Indian power plantsâ€, IEEE Transactions on Power Systems, vol. 14, no. 2, pp 419-425.

      [19] Akintoye, A. (2000) Analysis of factors influencing project cost estimating practice. Construction Management and Economics, 18(1), 77-89.

      [20] CCTA (1993) Introduction to the Management of Risk. CCTA Library, Norwich. P.2.

      [21] Bennett, J. and Ormedo, R.N. (1984) Simulation applied to construction projects, Construction Management and Economics, 2 (3), 225-63.

      [22] Vinzi, V.E., L. Trinchera and S. Amato, 2010. 23. Creedy, G., 2005. Risk factors leading to cost overrun.

  • Downloads

  • How to Cite

    Bajpai, P., K. Chandrashekhar Iyer, P., & Bansal, S. (2018). Identification of key challenges associated with the implementation of renovation & modernization (r & m) projects in India using factor analysis. International Journal of Engineering & Technology, 7(4.5), 767-771. https://doi.org/10.14419/ijet.v7i4.5.25078