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  • 1. Candia, R. A. R.
    et al.
    Ramos, J. A. A.
    Subieta, S. L. B.
    Pena Balderrama, J. Gabriela
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis. Energy Research Center, Universidad Mayor de San Simón, Jordan Street, Cochabamba, Bolivia.
    Miquélez, V. S.
    Florero, H. J.
    Quoilin, S.
    Techno-economic assessment of high variable renewable energy penetration in the bolivian interconnected electric system2019In: International Journal of Sustainable Energy Planning and Management, ISSN 2246-2929, E-ISSN 2246-2929, Vol. 22, p. 17-38Article in journal (Refereed)
    Abstract [en]

    Bolivia plans significant investments in conventional and renewable energy projects before 2025. Deployment of large hydro-power, wind and solar projects are foreseen in the investment agenda. However, and despite the large renewable potential in the country non-conventional renewable technologies are not yet expected to be a main source in the supply chain. The aim of this article is to evaluate the flexibility of the Bolivian power generation system in terms of energy balancing, electricity generation costs and power plants scheduling in a scenario that considers large solar and wind energy technology deployment. This is done using an open source unit commitment and optimal dispatch model (Dispa-SET) developed by the Joint Research Center of the European Commission. National data for existing infrastructure, committed and planned energy projects are used to assess the case of Bolivia. The base scenario consider all techno-economic data of the Bolivian power system up to 2016. A harmonized dataset is gathered and released as open data to allow other researchers to run and re-use the model. This model is then used to simulate scenarios with different levels of solar and wind energy deployment. Results from the analysis show that an energy mix with participation of solar and wind technology with values lower than 30% is technically feasible and indicates that further grid reinforcements are required.

  • 2.
    Gardumi, Francesco
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Shivakumar, Abhishek
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Morrison, Robbie
    Schillerstr 85, D-10627 Berlin, Germany..
    Taliotis, Constantinos
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Broad, Oliver
    UCL, Inst Sustainable Resources, London, England..
    Beltramo, Agnese
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Sridharan, Vignesh
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Howells, Mark I.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Hoersch, Jonas
    Frankfurt Inst Adv Studies, Frankfurt, Germany..
    Niet, Taco
    British Columbia Inst Technol, Burnaby, BC, Canada..
    Almulla, Youssef
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Ramos, Eunice
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
    Burandt, Thorsten
    Tech Univ Berlin, Workgrp Econ & Infrastruct Policy WIP, Berlin, Germany..
    Pena Balderrama, J. Gabriela
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Pinto de Moura, Gustavo Nikolaus
    Univ Fed Ouro Preto, Ouro Preto, MG, Brazil..
    Zepeda, Eduardo
    United Nations Dept Econ & Social Affairs, Dev Policy & Anal Div, New York, NY USA..
    Alfstad, Thomas
    United Nations Dept Econ & Social Affairs, Dev Policy & Anal Div, New York, NY USA..
    From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS2018In: Energy Strategy Reviews, ISSN 2211-467X, E-ISSN 2211-4688, Vol. 20, p. 209-228Article in journal (Refereed)
    Abstract [en]

    In the last decades, energy modelling has supported energy planning by offering insights into the dynamics between energy access, resource use, and sustainable development. Especially in recent years, there has been an attempt to strengthen the science-policy interface and increase the involvement of society in energy planning processes. This has, both in the EU and worldwide, led to the development of open-source and transparent energy modelling practices. This paper describes the role of an open-source energy modelling tool in the energy planning process and highlights its importance for society. Specifically, it describes the existence and characteristics of the relationship between developing an open-source, freely available tool and its application, dissemination and use for policy making. Using the example of the Open Source energy Modelling System (OSeMOSYS), this work focuses on practices that were established within the community and that made the framework's development and application both relevant and scientifically grounded.

  • 3.
    Pena Balderrama, J. Gabriela
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Alfstad, Thomas
    United Nations Div Social & Econ Affairs, New York, NY 10001 USA..
    Taliotis, Constantinos
    Cyprus Inst, CY-2121 Nicosia, Cyprus..
    Hesamzadeh, Mohammad Reza
    KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.
    Howells, Mark I.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    A Sketch of Bolivia's Potential Low-Carbon Power System Configurations. The Case of Applying Carbon Taxation and Lowering Financing Costs2018In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 11, no 10, article id 2738Article in journal (Refereed)
    Abstract [en]

    This paper considers hypothetical options for the transformation of the Bolivian power generation system to one that emits less carbon dioxide. Specifically, it evaluates the influence of the weighted average cost of capital (WACC) on marginal abatement cost curves (MACC) when applying carbon taxation to the power sector. The study is illustrated with a bottom-up least-cost optimization model. Projections of key parameters influence the shape of MACCs and the underlying technology configurations. These are reported. Results from our study (and the set of assumptions on which they are based) are country-specific. Nonetheless, the methodology can be replicated to other case studies to provide insights into the role carbon taxes and lowering finance costs might play in reducing emissions.

  • 4.
    Pena Balderrama, J. Gabriela
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis. UMSS, Bolivia.
    Broad, Oliver
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Sevillano, R. Carlos
    Alejo, Lucio
    Howells, Mark
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
    Techno-economic demand projections and scenarios for the Bolivian energy system2017In: Energy Strategy Reviews, ISSN 2211-467X, E-ISSN 2211-4688, Vol. 16, p. 96-109Article in journal (Refereed)
    Abstract [en]

    Increasing energy access in emerging economies has played an important role to maintain or achieve desirable social and economic development targets. As a consequence, the growing energy requirements need policy instruments to ensure energy supply for future generations. The literature reports many studies with different approaches to model and test policy measures in the energy sector, however few energy-related studies for Bolivia are available. This paper addresses this knowledge gap, representing the first national level energy demand model and projections for Bolivia. The model use demographic, economic, technology and policy trends with a pragmatic model structure that combines bottom-up and top-down modelling. The scenario analysis has a particular focus on alternatives for energy savings, energy mix diversification and air quality. Three scenarios were analysed: Energy Savings, Fuel Substitution and the aggregate effects in a Combined scenario. The reference scenario results show the overall energy consumption grows 134% in 2035 compared to 2012 with an annual average growth of 3.8%. The final energy demand in the energy savings scenario is 8.5% lower than the Reference scenario, 1.5% lower in the fuel substitution scenario and 9.4% lower in the combined Scenario. The aggregate impact of both energy savings and fuel substitution measures leads to potential avoided emissions of 25.84 million Tons of CO2 equivalent in the model horizon 2012-2035.

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