IDEAS home Printed from https://ideas.repec.org/p/ris/iisecd/2014_008.html
   My bibliography  Save this paper

Energy-Mix Scenarios for Bolivia

Author

Listed:
  • Aliaga Lordemann, Javier

    (IISEC, Universidad Católica Boliviana)

  • Herrerra Jiménez, Alejandro

    (IISEC, Universidad Católica Boliviana)

Abstract

Nowadays the Bolivian energy-mix is misbalanced due to the primary production of energy, which is focused in gaseous hydrocarbons, whereas the consumption is intensive in liquid hydrocarbons. At the same time the Bolivian electric system is mainly thermo, while the country present high hydro potential. In this framework this document makes reference to the trending evolution of the Bolivian energy-mix and proposes a mitigation scenarios based on the a) reduction of liquid hydrocarbons consumption; b) and introduction of renewable energies an energy efficiency measures in the electric system. Methodologically, the construction of such scenarios is developed by a bottom-up simulation for the time span 2007-2025. We based our estimations on previous results we obtained in the project Renewable Energies Generation in South America (REGSA), founded by the European Union. Instituto de Investigaciones Socio - Económicas; IISEC

Suggested Citation

  • Aliaga Lordemann, Javier & Herrerra Jiménez, Alejandro, 2014. "Energy-Mix Scenarios for Bolivia," Documentos de trabajo 8/2014, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    • Handle: RePEc:ris:iisecd:2014_008
    as

    Download full text from publisher

    File URL: http://www.iisec.ucb.edu.bo/assets/publicacion/n22_a05.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ackerman, Frank & de Almeida, Paulo Eduardo Fernandes, 1990. "Iron and charcoal the industrial fuelwood crisis in Minas Gerais," Energy Policy, Elsevier, vol. 18(7), pages 661-668, September.
    2. Polenske, Karen R. & McMichael, Francis C., 2002. "A Chinese cokemaking process-flow model for energy and environmental analyses," Energy Policy, Elsevier, vol. 30(10), pages 865-883, August.
    3. Rath-Nagel, St. & Voss, A., 1981. "Energy models for planning and policy assessment," European Journal of Operational Research, Elsevier, vol. 8(2), pages 99-114, October.
    4. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard & Claude Thonet, 2000. "Endogenous learning in world post-Kyoto scenarios: application of the POLES model under adaptive expectations," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 222-248.
    5. Samouilidis, J. Emmanuel & Berahas, A., 1983. "Energy policy modelling in developing and industrializing countries," European Journal of Operational Research, Elsevier, vol. 13(1), pages 2-11, May.
    6. Pilati, David A. & Sparrow, F.T., 1980. "The Brookhaven process optimization models," Energy, Elsevier, vol. 5(5), pages 417-428.
    7. Mercado, Alejandro F. & Aliaga, F. Javier, 2009. "Short-Run Oil Price Drivers: South America's Energy Integration," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 12, pages 219-239, Octubre.
    8. Ulph, Alistair M., 1980. "World energy models--a survey and critique," Energy Economics, Elsevier, vol. 2(1), pages 46-59, January.
    9. Xie, Zhijun & Kuby, Michael, 1997. "Supply-side--demand-side optimization and cost--environment tradeoffs for China's coal and electricity system," Energy Policy, Elsevier, vol. 25(3), pages 313-326, February.
    10. Neubauer, Franklin & Westman, Erik & Ford, Andrew, 1997. "Applying planning models to study new competition : Analysis for the Bonneville Power Administration," Energy Policy, Elsevier, vol. 25(3), pages 273-280, February.
    11. Soloveitchik, David & Ben-Aderet, Nissim & Grinman, Mira & Lotov, Alexander, 2002. "Multiobjective optimization and marginal pollution abatement cost in the electricity sector - An Israeli case study," European Journal of Operational Research, Elsevier, vol. 140(3), pages 571-583, August.
    12. Hidalgo, Ignacio & Szabo, Laszlo & Carlos Ciscar, Juan & Soria, Antonio, 2005. "Technological prospects and CO2 emission trading analyses in the iron and steel industry: A global model," Energy, Elsevier, vol. 30(5), pages 583-610.
    13. Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
    14. Newton, J. K., 1985. "Modelling energy consumption in manufacturing industry," European Journal of Operational Research, Elsevier, vol. 19(2), pages 163-169, February.
    15. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    16. Hoster, Frank, 1998. "Impact of a nuclear phase-out in Germany: results from a simulation model of the European Power Systems," Energy Policy, Elsevier, vol. 26(6), pages 507-518, May.
    17. Kavrakoglu, Ibrahim, 1982. "OR and energy: Problems of modelling," European Journal of Operational Research, Elsevier, vol. 11(3), pages 285-294, November.
    18. Aliaga, Javier & Capríles, Alejandro, 2011. "Análisis de la sustitución de fuentes energéticas en Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 16, pages 57-80, Noviembre.
    19. Anandalingam, G. & Bhattacharya, D., 1985. "Process modelling and industrial energy use in developing countries--The steel industry in India," Omega, Elsevier, vol. 13(4), pages 295-306.
    20. Pandey, Rahul, 2002. "Energy policy modelling: agenda for developing countries," Energy Policy, Elsevier, vol. 30(2), pages 97-106, January.
    21. Amagai, Hisashi, 1991. "Environmental implications of fuel substitution and thermal efficiency : A case study of Japan's electricity sector," Energy Policy, Elsevier, vol. 19(1), pages 57-62.
    22. Samouilidis, J. -Emmanuel & Mitropoulos, Costas S., 1982. "Energy-economy models: A survey," European Journal of Operational Research, Elsevier, vol. 11(3), pages 222-232, November.
    23. Viguier, Laurent L. & Babiker, Mustafa H. & Reilly, John M., 2003. "The costs of the Kyoto Protocol in the European Union," Energy Policy, Elsevier, vol. 31(5), pages 459-481, April.
    24. Aliaga Lordemann, Javier & Villegas Quino, Horacio, 2011. "Articulación del Mercado de las Energías Renovables en Bolivia," Documentos de trabajo 11/2011, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aliaga Lordemann, Javier & Herrera Jiménez, Alejandro, 2014. "Escenarios de la matriz energética para Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 22, pages 135-160, Noviembre.
    2. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    3. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
    4. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    5. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    6. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    7. Liu, Zhen & Shi, Yuren & Yan, Jianming & Ou, Xunmin & Lieu, Jenny, 2012. "Research on the decomposition model for China’s National Renewable Energy total target," Energy Policy, Elsevier, vol. 51(C), pages 110-120.
    8. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    9. Lohwasser, Richard & Madlener, Reinhard, 2013. "Relating R&D and investment policies to CCS market diffusion through two-factor learning," Energy Policy, Elsevier, vol. 52(C), pages 439-452.
    10. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    11. Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
    12. Ek, Kristina & Söderholm, Patrik, 2010. "Technology learning in the presence of public R&D: The case of European wind power," Ecological Economics, Elsevier, vol. 69(12), pages 2356-2362, October.
    13. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
    14. Tobias Wiesnethal & Arnaud Mercier & Burkhard Schade & H. Petric & Lazlo Szabo, 2010. "Quantitative Assessment of the Impact of the Strategic Energy Technology Plan on the European Power Sector," JRC Research Reports JRC61065, Joint Research Centre.
    15. Wang, Peng & Li, Wen & Kara, Sami, 2017. "Cradle-to-cradle modeling of the future steel flow in China," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 45-57.
    16. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    17. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    18. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    19. Odam, Neil & de Vries, Frans P., 2020. "Innovation modelling and multi-factor learning in wind energy technology," Energy Economics, Elsevier, vol. 85(C).
    20. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.

    More about this item

    Keywords

    LEAP; renewable energy; energy mix; hydrocarbons and electricity; Instituto de Investigaciones Socio - Económicas; IISEC;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:iisecd:2014_008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tirza Aguilar (email available below). General contact details of provider: https://edirc.repec.org/data/iisecbo.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.