Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector

McPherson, Madeleine; Karney, Bryan W.

doi:10.1016/j.enpol.2014.01.028

Cited by 145 publications

(51 citation statements)

References 16 publications

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“…LEAP is a scenario-based energy-environment modelling tool for energy policy analysis and climate change mitigation assessment. LEAP can be used to track energy consumption, production and resource extraction in all sectors of an economy as well as account for greenhouse gas (GHG) emissions from energy demand and conversion (Bautista, 2012;Shin et al, 2005;McPherson and Karney, 2014). The model was developed by the Stockholm Environment Institute (SEI-US), based in Boston, Massachusetts 3 .…”

Section: Methodsmentioning

confidence: 99%

Prospects for bioenergy use in Ghana using Long-range Energy Alternatives Planning model

Kemausuor

Nygaard

Mackenzie

2015

Energy

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As Ghana's economy grows, the choice of future energy paths and policies in the coming years will have a significant influence on its energy security. A Renewable Energy Act approved in 2011 seeks to encourage the influx of renewable energy sources in Ghana's energy mix. The new legal framework combined with increasing demand for energy has created an opportunity for dramatic changes in the way energy is generated in Ghana. However, the impending changes and their implication remain uncertain. This paper examines the extent to which future energy scenarios in Ghana could rely on energy from biomass sources, through the production of biogas, liquid biofuels and electricity. Analysis was based on moderate and high use of bioenergy for transportation, electricity generation and residential fuel using the LEAP model. Results obtained indicate that introducing bioenergy to the energy mix could reduce GHG emissions by about 6 million tonnes CO2e by 2030, equivalent to a 14% reduction in a businessas-usual scenario. This paper advocates the use of second generation ethanol for transport, to the extent that it is economically exploitable. Resorting to first generation ethanol would require the allocation of over 580,000 ha of agricultural land for ethanol production.

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Section: Methodsmentioning

confidence: 99%

Prospects for bioenergy use in Ghana using Long-range Energy Alternatives Planning model

Kemausuor

Nygaard

Mackenzie

2015

Energy

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“…For example, Huang et al (2011) utilize LEAP to simulate several scenarios for Taiwan's energy demand but the only issue being modeled for developing countries is the presence of the agriculture sector in the model. Similarly, McPherson and Karney (2014), comparing the scenario-based projections of Panama's electricity supply, use LEAP because of its simplicity and ready-to-use characteristics.…”

Section: Bottom-up Energy Modelingmentioning

confidence: 99%

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

et al. 2017

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Renewable energy planners in developing countries should be cautious in using analytical tools formulated in developed countries. Traditional energy consumption, economic and demography transitions, high-income inequality, and informal economy are some characteristics of developing countries that may contradict the assumptions of mainstream, widely used analytical tools. In this study, we synthesize the debate in previous review studies on energy models for developing countries and then extend the scope of the previous studies by highlighting emerging methods of system thinking, life cycle thinking, and decision support analysis. We then discuss how these tools have been used for renewable energy analysis in developing countries and found out that not all studies are aware of the emerging critical issues in developing countries. We offer here a guidance to select the most appropriate analytical tool, mainly when dealing with energy modeling and analysis for developing countries. We also suggest potential future improvements to the analytical tool for renewable energy modeling and analysis in the developing countries.

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“…Its versatility for modelling different energy systems supports, in a single model, a wide range of modelling methodologies for both the demand and the supply side, including bottom-up [35], top-down macroeconomic modelling and also hybrid model possibilities [29]. In addition, the modelling framework can be scaled from regional [36], national [37], [38], and city perspectives [39], [40], and can address electricity demand-supply analyses [41], [42], [43], costbenefit studies [44], emission mitigation assessments [45], [46] and other specific sectorial analyses including e.g. transport [47], [48] or landfill gas [49] in developed and developing countries.…”

Section: Leapmentioning

confidence: 99%

Techno-economic demand projections and scenarios for the Bolivian energy system

Balderrama

Broad

Sevillano³

et al. 2017

Energy Strategy Reviews

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Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector

Cited by 145 publications

References 16 publications

Prospects for bioenergy use in Ghana using Long-range Energy Alternatives Planning model

Prospects for bioenergy use in Ghana using Long-range Energy Alternatives Planning model

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

Techno-economic demand projections and scenarios for the Bolivian energy system

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