Investment planning in energy considering economic and environmental objectives

Abstract This work proposes a linear disjunctive multiperiod optimization model for planning investments in energy sources considering two objectives, one economical (maximization of the net present value), and the other environmental (minimization of greenhouse gas emissions – GHG). The general goal of this approach is to provide an analysis tool for energy decision makers in planning investment considering different scenarios in GHG emanation. The decision variables of the model are the investment needs in money, capacity and time in order to satisfy 100% of the energy market for Argentina in the period 2010–2030. Two models are proposed, the first one considers the total amount of GHG released in the horizon time; and the other contemplates the amount of GHG year by year. Twenty scenarios are evaluated with both models. The results obtained are presented, which show the trade-offs between both objectives.

[1]  T. V. D. Heidt,et al.  Transport energy futures: Exploring the geopolitical dimension , 2011 .

[2]  Christodoulos A. Floudas,et al.  Hybrid and single feedstock energy processes for liquid transportation fuels: A critical review , 2012, Comput. Chem. Eng..

[3]  M. Curran,et al.  A review of assessments conducted on bio-ethanol as a transportation fuel from a net energy, greenhouse gas, and environmental life cycle perspective , 2007 .

[4]  Rolf Wüstenhagen,et al.  Strategic choices for renewable energy investment: Conceptual framework and opportunities for further research , 2012 .

[5]  Efstratios N. Pistikopoulos,et al.  Advances in Energy Systems Engineering , 2011 .

[6]  Maria Saxe,et al.  Strategies for a road transport system based on renewable resources – The case of an import-independent Sweden in 2025 , 2010 .

[7]  François Maréchal,et al.  Methods for multi-objective investment and operating optimization of complex energy systems , 2012 .

[8]  Claudiu Cicea,et al.  Environmental efficiency of investments in renewable energy: Comparative analysis at macroeconomic level , 2014 .

[9]  Nicola Chiara,et al.  Financing renewable energy infrastructure: Formulation, pricing and impact of a carbon revenue bond , 2012 .

[10]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[11]  Fabrizio Bezzo,et al.  Spatially Explicit Multiobjective Optimization for the Strategic Design of First and Second Generation Biorefineries Including Carbon and Water Footprints , 2013 .

[12]  Aie,et al.  World Energy Outlook 2013 , 2013 .

[13]  Brian Vad Mathiesen,et al.  The feasibility of synthetic fuels in renewable energy systems , 2013 .

[14]  Martín M. Acreche,et al.  Greenhouse gasses emissions and energy balances of a non-vertically integrated sugar and ethanol supply chain: A case study in Argentina , 2013 .

[15]  Lukas H. Meyer,et al.  Summary for Policymakers , 2022, The Ocean and Cryosphere in a Changing Climate.

[16]  C. Genesi,et al.  Generation Expansion Planning in the Age of Green Economy , 2011 .

[17]  F. Bezzo,et al.  Optimizing the economics and the carbon and water footprints of bioethanol supply chains , 2012 .

[18]  Gonzalo Guillén-Gosálbez,et al.  Optimal design and planning of sustainable chemical supply chains under uncertainty , 2009 .

[19]  Fabrizio Bezzo,et al.  Spatially explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries , 2011, Comput. Chem. Eng..