Comparison of two methodologies for calculating greenhouse gas emissions for vehicles in Costa Rica, 2014

Main Article Content

Priscila Picado-Valenzuela
Javier Rodríguez-Yánez
José Pablo Sibaja-Brenes

Abstract

Having reliable methods to estimate anthropogenic emissions of Greenhouse Gases (GHG) is of vital importance to design efficient strategies to mitigate the effects of climate change. One of these methods is the MOVES (Motor Vehicle Emission Simulator) software designed by the United States Environmental Protection Agency (EPA). Another methodology is the one implemented by the National Meteorological Institute (NMI) of Costa Rica, which is based on the guidelines of the Intergovernmental Panel on Climate Change (IPCC). The objective of this paper is to determine the feasibility of using MOVES in the Costa Rican context to obtain local factors that improve GHG emission estimates for vehicular mobile sources in Costa Rica in 2014. For these there were evaluated two scenarios of estimated GHG emissions calculated using the MOVES modeling software and the calculation methodology implemented by the NMI. Information was collected from different official sources to supply data to both methodologies and perform the analysis. Likewise, a quantitative comparison was made with a Likert scale to determine the reliability of the two methods. As a result, MOVES calculate higher GHG emission values than the IMN methodology. The analysis with the Likert scale showed that the reliability of the data used for MOVES methodology for Costa Rica is lower than that data used by the IMN. In conclusion, the methodology for calculating GHG emissions by MOVES and by the IMN provide an upper and lower range for the calculation of GHG emissions. Likewise, both methodologies propose complementary approaches to the study of GHG emissions.

Article Details

How to Cite
Picado-Valenzuela, P., Rodríguez-Yánez, J., & Sibaja-Brenes, J. P. (2024). Comparison of two methodologies for calculating greenhouse gas emissions for vehicles in Costa Rica, 2014. Tecnología En Marcha Journal, 37(4), Pág. 89–99. https://doi.org/10.18845/tm.v37i4.6921
Section
Artículo científico

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