A multi-objective interactive approach to assess economic-energy-environment trade-offs in Brazil

Ariovaldo Lopes de Carvalho, Carlos Henggeler Antunes, Fausto Freire and Carla Henriques

Renewable and Sustainable Energy Reviews, 2016, vol. 54, issue C, 1429-1442

Abstract: An interactive method devoted to multi-objective linear programming (MOLP) models is used to assess the trade-offs between economic, energy and environmental (E3) objectives in the Brazilian economic system. The MOLP model is based on a hybrid input–output (IO) framework, with monetary (R$) and physical (tons of oil equivalent) units, developed from the Brazilian IO table and the National Energy Balance. This framework is extended to assess different Greenhouse Gas (GHG) emissions, which are then aggregated into a single indicator (CO2eq). The model includes 444 variables, 597 constraints and 3 objective functions: maximization of Gross Domestic Product (GDP), minimization of energy consumption and minimization of GHG emissions. The interactive decision support tool enables a progressive and selective search of non-dominated solutions making the most of graphical displays, namely the parametric diagram associated with the objective function “weights”, to provide insightful information to the Decision Maker. A representative sample of non-dominated solutions has been computed in the interactive process, allowing to identify three main regions corresponding to solutions with different characteristics, i.e. different patterns of trade-offs between the conflicting objective functions. Illustrative results indicate that the maximization of GDP leads to an increase of both energy consumption and GHG emissions, while the minimization of either GHG emissions or energy consumption cause negative impacts on GDP.

Keywords: Greenhouse gas (GHG); Input–output (IO) analysis; Multi-objective linear programming (MOLP); Multi-sectoral economy–energy–environment models; Interactive methods (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.rser.2015.10.064

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