Focus: Energy, Environment, Energy Economics, Electrical Engineering
This course is designed to equip participants with an understanding of the necessary investments required in the energy sector to meet the rapidly increasing demand for energy, while considering factors such as security, environmental sustainability, and other constraints. Emphasis will be placed on modeling the flexibility of the electricity system to accommodate high levels of renewable energy penetration. By the end of the course, participants will have a comprehensive understanding of the timing, scale, and types of investments required to meet the energy needs of the future.
OSeMOSYS and FlexTool are two tools commonly paired together for long-term energy system analysis. OSeMOSYS calculates the cheapest way of producing energy to meet a predefined demand given a set of power generation technologies. In OSeMOSYS, technologies are defined by their costs, technical parameters (e.g. capacity factor, lifetime), and production potential. Various constraints can be applied to the model, and thus many scenarios of how a country can produce its energy in the long term can be analyzed.
The main objective of this course is to develop and run case studies for Brazil, considering different aspects of the energy transition such as transportation decabornisation or power system planning considering increasing share of variable renewable generation. Though, it is expected that the participants deliver a report and a set of data used in the simulation.
Classes brief summary:
Classes 1 to 5 (3 hours each): learning the basics of the Osemosys & Flextoll and preparing the study case data
Classes 6 to 8 (3 hours each): how to run your own country energy model
Classes 9 & 10 (3 hours each): presentation, discussion and improvement of the case study
C. Taliotis et al., “An indicative analysis of investment opportunities in the African electricity supply sector — Using TEMBA (The Electricity Model Base for Africa),” Energy Sustain. Dev., vol. 31, pp. 50–66, Apr. 2016, doi: 10.1016/J.ESD.2015.12.001. Available at: https://www.sciencedirect.com/science/article/pii/S0973082615300065?casa_token=IuhW7k4I0WQAAAAA:JGqAJfhklF37WK2eTQSmaQwYm8cBTSuH7SZsQcbvTp-3uQEFu3_ZW71lR7GmnfA9TfMdGN8Y
K. Löffler, K. Hainsch, T. Burandt, P. Y. Oei, C. Kemfert, and C. Von Hirschhausen, “Designing a Model for the Global Energy System—GENeSYS-MOD: An Application of the Open-Source Energy Modeling System (OSeMOSYS),” Energies 2017, Vol. 10, Page 1468, vol. 10, no. 10, p. 1468, Sep. 2017, doi: 10.3390/EN10101468. Available at: https://www.mdpi.com/1996-1073/10/10/1468
G. Godínez-Zamora et al., “Decarbonising the transport and energy sectors: Technical feasibility and socioeconomic impacts in Costa Rica” Energy Strateg. Rev., vol. 32, p. 100573, Nov. 2020, doi: 10.1016/J.ESR.2020.100573. Available at: https://www.sciencedirect.com/science/article/pii/S2211467X203012
PS: Participants must bring their own laptops.
Professors: Bruno Henriques Dias (UFJF), Fernando Antonio Plazas Niño (Universidad Industrial de Santander – Colombia) e Bruno Soares Moreira Cesar Borba (Universidade Federal Fluminense)
Place: School of Engineering, Electrical Engineering Graduate Program
Date&Time:July 31 – August 11, from 8.30am to 11.30am
Target audience: undergraduate and graduate students
Spots available: 5
Sustainable Development Goals (SDG): 7, 12, 13