Methodology for the design and comparison of optimal production configurations of first and first and second generation ethanol with power Rami Bechara a, , Adrien Gomez a , Valérie Saint-Antonin b , Jean-Marc Schweitzer a , François Maréchal c a Process Modeling and Design, IFPEN, Insitut Français du Pétrole et des Energies Nouvelles, Rond Point de l’Echangeur de Solaize, Lyon, France b Economics and Information Watch and Management, IFPEN, 1-4 Avenue du Bois Préau, 92852 Rueil-Malmaison, France c Industrial Process and Energy Systems Engineering, Ecole Polytechnique Fédérale de Lausanne, EPFL Valais Wallis, Rue de l’Industrie 17, CH-1951 Sion, Switzerland highlights 1st generation (1G) ethanol and power vs. 1G and 2G ethanol and power processes. Application of simulation-optimiza tion-selection method for optimal process design. Optimization results have efficiencies, costs and utilities better than literature. 2G ethanol competitive only for 2G ethanol prices 2–4 times higher than normal. Similar design for two processes saves evaporation, utilities, hydrolysis and drying. graphical abstract article info Article history: Received 16 March 2016 Received in revised form 25 August 2016 Accepted 26 September 2016 Keywords: Optimal process design methodology Process modeling Second generation vs. power production Multi-objective optimization NPV maximization Minimum cellulosic ethanol selling price abstract This article applies a systematic methodology to the optimization and comparison of two sugarcane con- version processes of great potential: the production of first generation ethanol and electricity in an inte- grated distillery and cogeneration plant (1G+COGEN), and the production of first and second generation ethanol and electricity in an integrated distillery, hydrolysis and cogeneration plant (1G+2G+COGEN). The employed method consisted of rigorous process simulation, heat integration, thermo-economic eval- uation, bi-objective, exergy efficiency vs. capital cost, optimization and selection via profitability maxi- mization. The exergy efficiency of optimal 1G+COGEN and 1G+2G+COGEN configurations ranged from 37.5% to 41.7% and from 41.8% and 44.42% respectively. Fixed capital increased with exergy efficiency from USD 155 million to USD 209 million and from USD 252 million to USD 393 million respectively. Ethanol production rate averaged at 81.4 L/ton cane (TC) for 1G+COGEN configurations whereas it increased with exergy efficiency to 106 L/TC for 1G+2G+COGEN schemes. Electricity production increased for the first from 122 to 188 kW h/TC and decreased for the second from 180 kW h/TC to 92 kW h/TC. 1G +COGEN schemes presented higher NPV values with a minimum difference of $45 million than 1G+2G +COGEN schemes, with the maximum at an exergy efficiency of 40.65%. Equal profitability was obtained when second generation ethanol selling prices were set at values two to four times greater than the stan- dard, with the most profitable 1G+2G+COGEN configuration having the greater efficiency at 44.4%. A comparison of the two schemes displayed key similarities relating to vapor bleeding, heat integration, http://dx.doi.org/10.1016/j.apenergy.2016.09.100 0306-2619/Ó 2016 Elsevier Ltd. All rights reserved. Corresponding author. E-mail addresses: rami.bechara@etu.univ-lyon1.fr (R. Bechara), adrien.gomez@ ifpen.fr (A. Gomez), valerie.saint-antonin@ifpen.fr (V. Saint-Antonin), jean-marc. schweitzer@ifpen.fr (J.-M. Schweitzer), francois.marechal@epfl.ch (F. Maréchal). Applied Energy 184 (2016) 247–265 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy