PRISMA Statement: Comparison
Please note this is a comparison between Version 2 by Rita Xu and Version 1 by Judit Oláh.

The bioethanol sector is an extremely complex set of actors, technologies and market

structures, influenced simultaneously by di erent natural, economic, social and political processes.

That is why it lends itself to the application of system dynamics modelling. In last five years a

relatively high level of experience and knowledge has accumulated related to the application of

computer-aided system modelling for the analysis and forecasting of the bioethanol sector. The goal of

the current paper is to o er a systematic review of the application of system dynamics models in order

to better understand the structure, conduct and performance of the bioethanol sector. Our method

has been the preferred reporting items for systematic reviews and meta-analyses (PRISMA), based on

English-language materials published between 2015 and 2020. The results highlight that system

dynamic models have become more and more complex, but as a consequence of the improvement in

information technology and statistical systems, as well as the increasing experience gained they o er

an ecient tool for decision makers in the business and political spheres. In the future, the combination

of traditional system dynamics modelling and agent-based models will o er new perspectives for the

preparation of more sophisticated description and forecasting.

The bioethanol sector is an extremely complex set of actors, technologies and market structures, influenced simultaneously by di erent natural, economic, social and political processes. That is why it lends itself to the application of system dynamics modelling. In last five years a relatively high level of experience and knowledge has accumulated related to the application of computer-aided system modelling for the analysis and forecasting of the bioethanol sector. The goal of the current paper is to o er a systematic review of the application of system dynamics models in order to better understand the structure, conduct and performance of the bioethanol sector. Our method has been the preferred reporting items for systematic reviews and meta-analyses (PRISMA), based on English-language materials published between 2015 and 2020. The results highlight that system dynamic models have become more and more complex, but as a consequence of the improvement in information technology and statistical systems, as well as the increasing experience gained they o er an ecient tool for decision makers in the business and political spheres. In the future, the combination of traditional system dynamics modelling and agent-based models will o er new perspectives for the preparation of more sophisticated description and forecasting.

  • PRISMA statement
  • bioethanol
  • biofuel
  • review
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References

  1. Mustafa Balat; Havva Balat; Cahide Öz; Progress in bioethanol processing. Progress in Energy and Combustion Science 2008, 34, 551-573, 10.1016/j.pecs.2007.11.001.
  2. José Goldemberg; Patricia Guardabassi; The potential for first-generation ethanol production from sugarcane. Biofuels, Bioproducts and Biorefining 2010, 4, 17-24, 10.1002/bbb.186.
  3. M. Balat; An Overview of Biofuels and Policies in the European Union. Energy Sources, Part B: Economics, Planning, and Policy 2007, 2, 167-181, 10.1080/15567240500402701.
  4. André Demczuk; Antonio Domingos Padula; Using system dynamics modeling to evaluate the feasibility of ethanol supply chain in Brazil: The role of sugarcane yield, gasoline prices and sales tax rates. Biomass and Bioenergy 2017, 97, 186-211, 10.1016/j.biombioe.2016.12.021.
  5. John Sterman; Rogelio. Oliva; Kevin Linderman; Elliot Bendoly; System dynamics perspectives and modeling opportunities for research in operations management. Journal of Operations Management 2015, 39, 1-12, 10.1016/j.jom.2015.07.001.
  6. Ehsan Shafiei; Brynhildur Davíðsdóttir; Jonathan Leaver; Hlynur Stefansson; Eyjolfur Ingi Asgeirsson; Simulation of Alternative Fuel Markets using Integrated System Dynamics Model of Energy System. Procedia Computer Science 2015, 51, 513-521, 10.1016/j.procs.2015.05.277.
  7. Jonker, W.; Brent, A.C.; Musango, J.K. Modelling the production of biofuel within the Western Cape Province, South Africa. In Proceedings of the 24th International Conference of the International Association for Management of Technology (IAMOT 2015): Technology, Innovation and Management for Sustainable Growth, Cape Town, South Africa, 8–11 June 2015; Pretorius, L.E.A., Ed.; International Association for Management of Technology (IAMOT): Cape Town, South Africa, 2015; pp. 501–519.
  8. Ansah, I. Biofuel and Food Security: Insights from a System Dynamics Model. The Case of Ghana; The University of Bergen: Bergen, Norway, 2014.
  9. Jiménez, L.M.; Loaiza, M.; Lambis, E. Collateral effect of the introduction of ethanol in the sugar economy by system dynamics. Int. J. Appl. Eng. Res. 2018, 13, 11379–11386.
  10. Nigatu, A. Large-Scale Sugarcane Ethanol Production and Its Implications to Ethiopia; University of Bergen: Bergen, Norway, 2017.
  11. Renata Benda-Prokeinová; Kamil Dobeš; Ladislav Mura; Jan Buleca; Renata Benda-Prokeinov?; Kamil Dobe?; Engel’s approach as a tool for estimating consumer behaviour. E+M Ekonomie a Management 2017, 20, 15-29, 10.15240/tul/001/2017-2-002.
  12. Miguel A. Rendon-Sagardi; Cuauhtemoc Sanchez; Guillermo Cortes-Robles; Giner Alor-Hernández; Miguel G. Cedillo-Campos; Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico. Applied Energy 2014, 123, 358-367, 10.1016/j.apenergy.2014.01.023.
  13. Science Moderator; r/Science; Science Discussion Series: What should and shouldn't be done with your personal genetic data? Who should benefit? We are researchers and advocates who are working on new models for DNA research. Let's discuss!. The Winnower 2019, 8, 1-22, 10.15200/winn.157011.10655.
  14. Popp, J.; Oláh, J.; Kiss, A.; Lakner, Z; Food security perspectives in Sub-Saharan Africa. Amfiteatru Econ. 2019, 21, 358–367.
  15. Papachristos, G.; Adamides, E. System dynamics modeling for assessing promotion strategiess of biofuels used in land transportation. In Proceedings of the 30th International Conference of the System Dynamics Society, St. Gallen, Switzerland, 22–26 July 2012.
  16. Willem Jonker; Alan Colin Brent; Josephine Kaviti Musango; Imke De Kock; Implications of biofuel production in the Western Cape province, South Africa: A system dynamics modelling approach of South Africa: A system dynamics modelling approach. Journal of Energy in Southern Africa 2017, 28, 1-12, 10.17159/2413-3051/2017/v28i1a1457.
  17. Franco, C.; Ochoa, M.C.; Flórez, A.M. A system dynamics approach to biofuels in Colombia. In Proceedings of the 27th International Conference of the System Dynamics Society, Albuquerque, NM, USA, 26–30 July 2009; pp. 1–11.
  18. Santos, E.R. Modelling Ethanol Supply, Demand and Price in the Brazilian Macro Economy; The University of Bergen: Bergen, Switzerland, 2012.
  19. Natanya Meyer; Meyer D F; A comparative analysis of developmental progression: The case of Poland and South Africa. Administratie si Management Public 2019, 33, 147-164, 10.24818/amp/2019.33-09.
  20. Kliestikova, J.; Krizanova, A.; Corejova, T.; Kral, P.; Spuchlakova, E. Subsidies to increase remote pollution? Sci. Eng. Ethics 2018, 24, 755–767.
  21. Črtomir Rozman; Miroljub Kljajić; Karmen Pažek; Sugar Beet Production: A System Dynamics Model and Economic Analysis. Organizacija 2015, 48, 145-154, 10.1515/orga-2015-0017.
  22. Laura J. Vimmerstedt; Brian Bush; Dave D. Hsu; Daniel Inman; Steven O. Peterson; Maturation of biomass-to-biofuels conversion technology pathways for rapid expansion of biofuels production: a system dynamics perspective. Biofuels, Bioproducts and Biorefining 2015, 9, 158-176, 10.1002/bbb.1515.
  23. Kibira, D.; Shao, G.; Nowak, S. System Dynamics Modeling of Corn Ethanol as a Bio Transportation Fuel in the United States. Available online: https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1207&context=usdeptcommercepub (accessed on 20 February 2020).
  24. Mihaela Simionescu; Lucian-Liviu Albu; Monica Răileanu Szeles; Yuriy Bilan; The impact of biofuels utilisation in transport on the sustainable development in the European Union. Technological and Economic Development of Economy 2017, 23, 667-686, 10.3846/20294913.2017.1323318.
  25. Robert Magda; Norbert Bozsik; Natanya Meyer; An evaluation of gross inland energy consumption of six Central European countries. Journal of Eastern European and Central Asian Research (JEECAR) 2019, 6, 270-281, 10.15549/jeecar.v6i2.291.
  26. Guevara, A.J.D.H.; Silva, O.R.D.; Hasegawa, H.L.; Venanzi, D. Avaliação de sustentabilidade da produção de etanol no Brasil: um modelo em dinâmica de sistemas. BBR Braz. Bus. Rev. 2017, 14, 435–447.
  27. Danny Ibarra Vega; Modeling waste management in a bioethanol supply chain: A system dynamics approach. DYNA 2016, 83, 99-104, 10.15446/dyna.v83n195.47514.
  28. Silva, O.; Guevara, A.; Palmisano, A.; Rosini, A. Dynamic model for evaluation of sustainability of Brazilian ethanol production: elements for modeling. In Proceedings of the 5th International Workshop, Advances in Cleaner Production-Academic Work, Sao Paulo, Brazil, 20–22 May 2015; pp. 1–10.
  29. Trujillo-Mata, A.; Cortés-Robles, G.; Sánchez-Ramírez, C.; Alor-Hernández, G.; García-Alcaraz, J. A system dynamics approach for estimating the water footprint of the bioethanol supply chain in the region of Orizaba in the State of Veracruz, Mexico. In WIT Transactions on Ecology and the Environment; WIT Press: Southampton, UK, 2016; Volume 203, pp. 171–182.
  30. Mantas Svazas; Valentinas Navickas; Emilia Krajnakova; Joanna Nakonieczny; Sustainable supply chain of the biomass cluster as a factor for preservation and enhancement of forests. Journal of International Studies 2019, 12, 309-321, 10.14254/2071-8330.2019/12-2/20.
  31. Avenhaus, W.; Haase, D. A conceptual approach tackling the question: Can “bio”-fuels become a synonym for social progress in remote areas in Brazil? In Proceedings of the 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, 1–5 July 2012.
  32. Hodbod, J. The Impacts of Biofuel Expansion on the Resilience of Social-Ecological Systems in Ethiopia; University of East Anglia: Norwich, UK, 2013.
  33. Zenebe, G.; Alemu, M.; Tadele, F.; Gunnar, K. Profitability of Biofuels Production: The Case of Ethiopia; Swedish International Development Cooperation Agency: Stockholm, Sweden, 2014.
  34. Cristian Patrascioiu; Bogdan Doicin; Grigore Stamatescu; Optimal blending study for the commercial gasoline. Software Architectures and Tools for Computer Aided Process Engineering 2015, 37, 215-220, 10.1016/b978-0-444-63578-5.50031-1.
  35. Hsien H. Khoo; Review of bio-conversion pathways of lignocellulose-to-ethanol: Sustainability assessment based on land footprint projections. Renewable and Sustainable Energy Reviews 2015, 46, 100-119, 10.1016/j.rser.2015.02.027.
  36. West, T.; Dunphy-Guzman, K.; Sun, A.; Malczunski, L.; Reichmuth, D.; Larson, R.; Ellison, J.; Taylor, R.; Tidwell, V.; Klebanoff, L. Feasibility, Economics, and Environmental Impact of Producing 90 Billion Gallons of Ethanol per Year by 2030; USA Department of Energy: Washington, DC, USA, 2009; pp. 1–32.
  37. Fritz, M.; Rickert, U.; Schiefer, G. System dynamics and innovation in food networks 2010. In Proceedings of the 4th International European Forum on System Dynamics and Innovation in Food Networks, Bonn/Berlin, Germany, 8–12 February 2010.
  38. József Popp; Sebastian Kot; Zoltan Lakner; Judit Oláh; BIOFUEL USE: PECULIARITIES AND IMPLICATIONS. Journal of Security and Sustainability Issues 2018, 7, 477–493, 10.9770/jssi.2018.7.3(9).
  39. Gnansounou, E.; Panichelli, L. Modelling Land-Use Change in Biofuels Production: State of the Art. Speech presented at Workshop on Land-Use Change and Bioenergy Oak Ridge National Laboratory-US Department of Energy in TN; National Laboratory-USA Department of Energy: Vonore, TN, USA, 2009.
  40. Jürgen Scheffran; Todd K. Bendor; Bioenergy and land use: a spatial-agent dynamic model of energy crop production in Illinois. International Journal of Environment and Pollution 2009, 39, 4-27, 10.1504/ijep.2009.027140.
  41. Jay Sterling Gregg; Simon Bolwig; Teis Hansen; Ola Solér; Sara Ben Amer; Júlia Pladevall Viladecans; Antje Klitkou; Arne Fevolden; Value Chain Structures that Define European Cellulosic Ethanol Production. Sustainability 2017, 9, 118, 10.3390/su9010118.
  42. Ethan Warner; Daniel Inman; Benjamin Kunstman; Brian Bush; Laura Vimmerstedt; Steve Peterson; Jordan Macknick; Yimin Zhang; Modeling biofuel expansion effects on land use change dynamics. Environmental Research Letters 2013, 8, 1-10, 10.1088/1748-9326/8/1/015003.
  43. Musango, J.K. Technology Assessment of Renewable Energy Sustainability in South Africa; University of Stellenbosch: Stellenbosch, South Africa, 2012.
  44. Newes, E. Bioproducts Transition System Dynamics; Bioenergy Technology Office (BETO) Analysis Platform: Washington, DC, USA, 2017; pp. 1–23.
  45. Vimmerstedt, L.J.; Newes, E.K. Effect of Additional Incentives for Aviation Biofuels: Results from the Biomass Scenario Model; The California Air Resources Board Public Working Meeting; National Renewable Energy Laboratory (NREL): Sacramento, CA, USA, 2017.
  46. Hassan Qudrat-Ullah; Modelling and Simulation in Service of Energy Policy. Energy Procedia 2015, 75, 2819-2825, 10.1016/j.egypro.2015.07.558.
  47. Qudrat-Ullah, H. Modeling and simulation in service of energy policy: The challenges. In The Physics of Stocks and Flows of Energy Systems; Springer: Berlin/Heidelberg, Germany, 2016; pp. 7–12.
  48. Carlos Miret; Ludovic Montastruc; Stéphane Négny; Serge Domenech; Environmental, Societal and Economical optimization of a bioethanol supply chain. Software Architectures and Tools for Computer Aided Process Engineering 2015, 37, 2513-2518, 10.1016/b978-0-444-63576-1.50113-8.
  49. Adriana M. Ignaciuk; F. Vöhringer; A. Ruijs; E.C. Van Ierland; Competition between biomass and food production in the presence of energy policies: a partial equilibrium analysis. Energy Policy 2006, 34, 1127-1138, 10.1016/j.enpol.2004.09.010.
  50. Fonseca, M.B.; Burrell, A.; Gay, H.; Henseler, M.; Kavallari, A.; M’Barek, R.; Dominguez, I.P.; Tonini, A. Impacts of the EU Biofuel Target on Agricultural Markets and Land Use: A Comparative Modelling Assessment; Report EUR 24449; Institute for Prospective Technological Studies: Seville, Spain, 2010.
  51. Bassi, A.M. System Dynamics Modeling for Policy Analysis Threshold 21 (T21). Available online: http://indico.ictp.it/event/a10141/session/29/contribution/18/material/0/0.pdf (accessed on 20 February 2020).
  52. Rafał Kasperowicz; Marcin Pinczyński; Asset Khabdullin; Modeling the power of renewable energy sources in the context of classical electricity system transformation. Journal of International Studies 2017, 10, 264-272, 10.14254/2071-8330.2017/10-3/19.
  53. Sterman, J.D. System Dynamics: Systems Thinking and Modeling for a Complex World. ESD Working Papers; ESD-WP-2003–01.13-ESD Internal Symposium; Working Paper Series; Massachusetts Institute of Technology Engineering Systems Division: New York, NY, USA, 2000.
  54. European Commission. EU Sugar Quota System Comes to an End; European Commission: Brussels, Belgium, 2017.
  55. Polet, Y. EU 27 Sugar Annual Report 2012; USDA Foreign Agricultural Service: Washington, DC, USA, 2012; pp. 1–13.
  56. Gaucher, S.; Le Gal, P.-Y.; Soler, G; Modelling supply chain management in the sugar industry. Proc. South Afr. Sugar Technol. Assoc. 2003, 77, 542–554.
  57. Črtomir Rozman; Andrej Škraba; Karmen Pažek; Miroljub Kljajić; The Development of Sugar Beet Production and Processing Simulation Model – a System Dynamics Approach to Support Decision-Making Processes. Organizacija 2014, 47, 99-105, 10.2478/orga-2014-0011.
  58. Riley, C.; Wooley, R.; Sandor, D. Implementing systems engineering in the US department of energy office of the biomass program. In Proceedings of the 2007 IEEE International Conference on System of Systems Engineering, San Antonio, TX, USA, 16–18 April 2007.
  59. Sheenan, J. Biofuels—A critical part of America’s sustainable energy future. Reading presented on date? In The Expanding Role of Biofuels for America; The Senate Committee on Agriculture, Nutrition, and Forestry Hearing: Sioux City, IA, USA, 2009.
  60. Ayse Hilal Demirbas; Imren Demirbas; Importance of rural bioenergy for developing countries. Energy Conversion and Management 2007, 48, 2386-2398, 10.1016/j.enconman.2007.03.005.
  61. Strapasson, A. The limits of bioenergy: A complex systems approach to land use dynamics and constraints. In Proceedings of the 59th Annual Meeting of the ISSS-2015, Berlin, Germany, 23–30 July 2016; International Society for the Systems Sciences: Berlin, Germany, 2016; pp. 1–30.
  62. Mohammed Ali Berawi; Creating Sustainable Design and Technology Development: A Call for Innovation. International Journal of Technology 2015, 1, 1-2, 10.14716/ijtech.v6i1.777.
  63. M. Ricardo Saavedra M.; Cristiano Hora De O. Fontes; Francisco Gaudêncio Mendonça Freires; Sustainable and renewable energy supply chain: A system dynamics overview. Renewable and Sustainable Energy Reviews 2018, 82, 247-259, 10.1016/j.rser.2017.09.033.
  64. Stefan Seuring; Martin Müller; From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production 2008, 16, 1699-1710, 10.1016/j.jclepro.2008.04.020.
  65. D. Inman; E. Warner; D. Stright; Jordan Macknick; C. Peck; Estimating biofuel feedstock water footprints using system dynamics. Journal of Soil and Water Conservation 2016, 71, 343-355, 10.2489/jswc.71.4.343.
  66. Stephan Pfister; Annette Koehler; Stefanie Hellweg; Assessing the Environmental Impacts of Freshwater Consumption in LCA. Environmental Science & Technology 2009, 43, 4098-4104, 10.1021/es802423e.
  67. Eirini Aivazidou; Naoum Tsolakis; Dimitrios Vlachos; Eleftherios Iakovou; A water footprint management framework for supply chains under green market behaviour. Journal of Cleaner Production 2018, 197, 592-606, 10.1016/j.jclepro.2018.06.171.
  68. Kummu, M.; Ward, P.J.; de Moel, H.; Varis, O. Is physical water scarcity a new phenomenon? Global assessment of water shortage over the last two millennia. Environ. Res. Lett. 2010, 5, 034006.
  69. Jay W. Forrester; System dynamics—a personal view of the first fifty years. System Dynamics Review 2007, 23, 345-358, 10.1002/sdr.382.
  70. Mir Saman Pishvaee; Hamid Ghaderi; Hossein Gitinavard; A system dynamics approach to analysing bioethanol and biodiesel supply chains: increasing bioethanol and biodiesel market shares in the USA. International Journal of Energy Technology and Policy 2020, 16, 57, 10.1504/ijetp.2020.10025313.
  71. Tsai Chi Kuo; Syu-Hong Lin; Ming-Lang Tseng; Anthony Shun Fung Chiu; Chia-Wei Hsu; Biofuels for vehicles in Taiwan: Using system dynamics modeling to evaluate government subsidy policies. Resources, Conservation and Recycling 2019, 145, 31-39, 10.1016/j.resconrec.2019.02.005.
  72. Sinopoli, B.; Schenato, L.; Franceschetti, M.; Poolla, K.; Jordan, M.I.; Sastry, S.S; Kalman filtering with intermittent observations. IEEE Trans. Autom. Control 2004, 49, 1453–1464.
  73. Powell, M.J. A fast algorithm for nonlinearly constrained optimization calculations. In Numerical Analysis; Springer: Berlin, Germany, 1978; pp. 144–157.
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