STANDARDIZING THE SELECTION OF SEASONAL-PUMPED STORAGE PROJECTS
DOI:
https://doi.org/10.26512/ripe.v2i4.21459Keywords:
Pumped-Storage. Energy Storage. Energy Security. Decision Support Systems.Abstract
Brazil has just came out of a severe energy crisis and several regional water crisis, which started in 2013 and lasted until the end of 2015. The electricity supply and demand imbalance will further deteriorate with the operation of new dams in the Amazon that will generate most of their energy during the wet period. Seasonal-Pumped-Storage (SPS) is a solution to increase energy storage in a seasonal fashion. SPS stores potential energy during the wet season, when there is excess flow in the river, or when there is excess energy in the grid, pumping water to an upper reservoir. During the dry season, or when there is lack of flow in the river, or when there is lack of energy in the grid, the stored water generates electricity in the SPS and in the dams in cascade. This paper implements an integrated tool and decision support framework to approach complex, long-term problems involving the selection of Seasonal-Pumped Storage projects. The framework is embedded in an integrated tool called OUTDO (Oxford University Tool for Decision Organization). This analysis shows that the South region of Brazil should be selected region to build the first SPS project in Brazil.
References
Aldea, A., Banares-Alcantara, R. & Skrzypczak, S., 2012. Managing Information to Support the Decision Making Process. Journal of Information and Knowledge Management, September, 11(3), pp. 15-28.
B. Ramesh, K. S., 1995. Multimedia in a design rationale decision support system. Decision Support Systems, 15(3), pp. 1-9.
Bañares-Alcántara, R., 1995. Design Support Systems for Process Engineering ”“ I. KBDS: Requirements and Proposed Solutions for a Design Process Representation. Computers & Chemical Engineering, 19(3), p. 267”“277.
Bañares-Alcántara, R. & King, J., 1997. Design Support Systems for Process Engineering. III. Design Rationale as a Requirement for Effective Support. Computers & Chemical Engineering, 21(3), pp. 263-276.
Bañares-Alcántara, R. & Lababidi, H., 1995. Design Support Systems for Process Engineering ”“ II. KBDS: An Experimental Prototype. Computers & Chemical Engineering, 19(3), p. 279”“301.
Belton, V. & Stewart, T., 2002. Multiple Criteria Decision Analysis: An Integrated Approach. Boston: Kluwer.
Bracewell, R., Wallace, K., Moss, M. & Knott, D., 2009. Capturing design rationale. Cad Computer Aided Design, 41(3), p. 173”“186.
Bracewell, R., Wallace, K., Moss, M. & Knott, D., 2009. Capturing Design Rationale. Cad Computer Aided Design, 41(3), pp. 173-186.
Cavallaro, F., 2009. Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy, 34(7), pp. 1678-1685.
Compendium Institute, 2012. About Compendium. [Online] Available at: http://compendium.open.ac.uk/institute/about.htm
Conklin, J., 2005. Dialogue Mapping: Building Shared Understanding of Wicked Problems. West Sussex: Wiley.
CSF, 2013. Manual: Attraction of Young Talents - BJT Questions and Answers, Brasilia: Science without Borders.
Douglas, I., 2005. Capturing and managing decision making rationale. Las Vegas, NV, US 15”“17 August, s.n.
Douglas, I., 2005. Capturing and Managing Decision Making Rationale. In: IEEE International Conference on Information Reuse and Integration. Las Vegas, NV, US 15-17 August, Las Vegas: IEEE, pp. 172-176.
Empresa de Pesquisa Energética, 2013. Plano Decenal de Expanção de Energia 2023, Rio de Janeiro: EPE.
Energy Research Company, 2015. Ten-year energy plan expansion - 2024, Rio de Janeiro: EPE.
Fearnside, P., 2015. Amazon dams and waterways: Brazil’s Tapajós Basin plans. Ambio, 44(5), pp. 426-439.
Hanbury, D., 2010. Expanding Decision Support Capabilities Using Automated Forecasting Techniques. Fourth Year MEng Research Project, Department of Engineering Science, Oxford: Oxford University.
Hunt, J., 2013. Integration of Rationale Management with Multi-Criteria Decision Analysis, Probabilistic Forecasting and Semantics: Application to the UK Energy Sector, Oxford: University of Oxford.
Hunt, J., Bañares-Alcantara, R. & Hanbury, D., 2013. A new integrated tool for complex decision making: Application to the UK energy sector. Decision Support Systems, Volume 54, p. 1427”“1441.
Hunt, J., Freitas, M. & Pereira Júnior, A., 2014. Enhanced-Pumped-Storage: Combining pumped-storage in a yearly storage cycle with dams in cascade in Brazil. Energy, Volume 78, pp. 513-523.
Hunt, J., Freitas, M. & Pereira Junior, A., 2014. Increasing Energy Storage Capacity of Brazil. Florianopolis, s.n.
Hunt, J., Freitas, M. & Pereira Junior, A., 2016. Usinas Hidrelétricas Reversíveis Sazonais combinadas com hidrelétricas em cascata e seus benefícios para a gestão de recursos hídricos e do setor elétrico brasileiro. Rio de Janeiro, s.n.
IVIG, 2014. International Virtual Institute of Global Change. [Online] Available at: http://www.ivig.coppe.ufrj.br/english/about1/Paginas/default.aspx [Acesso em 06 April 2014].
Jarczyk, A., Löffler, P. & Shipman III, F., 1992. Design Rationale for Software Engineering: A Survey. 25th Hawaii International Conference on System Sciences, Volume 2, pp. 577-586.
King, J. & Bañares-Alcántara, R., 1997. Extending the scope and use of design rationale records. Artificial Intelligence for Engineering, Design, and Manufacturing, 11(2), pp. 155-167.
Lee, L., 1997. Design Rationale Systems: Understanding the Issues. IEEE Expert-Intelligent Systems and their Applications, 12(3), pp. 78-85.
Linkov, I. & Seager, T., 2011. Coupling Multi-Criteria Decision Analysis, Life-Cycle Assessment, and Risk Assessment for Emerging Threats. Environmental Science & Technology, 42(12), pp. 5068-5074.
Makridakis, S., Wheelwright, S. & Hyndman, R., 1998. Forecasting, Methods and Applications. New York: Wiley.
Moran, T. & Carroll, J., 1996. Design Rationale: Concepts, techniques and use. Mahwah: Lawrence Erlbaum Associates.
National Electric Grid Operator, 2016. Operation History. [Online] Available at: http://www.ons.org.br/historico/
Parlos, P., 2000. Multi-Criteria Decision Making Methods: A Comparative Study. The Netherlands: Kluwer Academic Publishers.
Ramesh, B. & Sengupta, K., 1995. Multimedia in a design rationale decision support system. Decision Support Systems, 15(3), pp. 1-9.
Roy, B., 1990. Decision-aid and decision-making. European Journal of Operational Research, 45((2-3)), p. 324”“331.
Selvin, A. & al, e., 2001. Compendium: making meetings into knowledge events. Austin, s.n.
Silva, R., 2015. New increase in electricity is expected to 2016. [Online] Available at: http://www.gazetaonline.com.br/_conteudo/2015/12/noticias/dinheiro/ 3917205-novo-aumento-na-energia-eletrica-esta-previsto-para-2016.html
Skrzypczak, S., 2007. Extension of Compendium to Manage an Options vs. Criteria Matrix for Decision Support. MSc. Dissertation Report, Oxford: Oxford Brookes University.
Theissen, M. & Marquardt, W., 2008. Decision Models. Em: M. Nagl & W. Marquardt, eds. Collaborative and Distributed Chemical Engineering LNCS 4970. Berlin: Springer, p. 153”“168.
Wang, J., Jing, Y., Zhang, C. & Zhao, J., 2009. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Reviews, 13(9), pp. 2263-2278.
Westerberg, A. et al., 1997. Designing the design process. Computers & Chemical Engineering, 21(1), pp. S1-S9.
Zankis, S., Solomon, A., Wishart, N. & Dublish, S., 1998. Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research, 107(3), p. 507”“529.
Downloads
Published
Issue
Section
License
Given the public access policy of the journal, the use of the published texts is free, with the obligation of recognizing the original authorship and the first publication in this journal. The authors of the published contributions are entirely and exclusively responsible for their contents.
1. The authors authorize the publication of the article in this journal.
2. The authors guarantee that the contribution is original, and take full responsibility for its content in case of impugnation by third parties.
3. The authors guarantee that the contribution is not under evaluation in another journal.
4. The authors keep the copyright and convey to the journal the right of first publication, the work being licensed under a Creative Commons Attribution License-BY.
5. The authors are allowed and stimulated to publicize and distribute their work on-line after the publication in the journal.
6. The authors of the approved works authorize the journal to distribute their content, after publication, for reproduction in content indexes, virtual libraries and similars.
7. The editors reserve the right to make adjustments to the text and to adequate the article to the editorial rules of the journal.
