Modelling the Wind Supply Chain to Reduce Emissions: How Could Affect Transmission Congestion?

Delays in new transmission line construction produce drawbacks that can lead to a precarious energy planning. As there is a delay between the licensing process and complete lines, it could create uncertainty as well as transmission congestion. In this context, it is essential to estimate the impact the transmission congestion might have on the reduction of emissions. To assess the effects of power grid congestion on emissions; first, it was necessary to design a simulation model, then some simulation scenarios were provided for analyzing the dynamic behavior of the wind-power supply chain. This chapter presents the findings of the case study conducted in Brazil. Our analysis shows that options to reduce emissions through the current energy policy of Brazil might is affected by delays in transmission construction.

[1]  A. Bradshaw.  Regulatory change and innovation in Latin America: The case of renewable energy in Brazil , 2017 .

[2]  Hassan Qudrat-Ullah.  The Physics of Stocks and Flows of Energy Systems - Applications in Energy Policy , 2016, Springer Briefs in Complexity.

[3]  How to support energy policy coordination? Findings from the Brazilian wind industry , 2019, The Electricity Journal.

[4]  Patricia Jaramillo,et al.  A multicriteria approach to sustainable energy supply for the rural poor , 2012, Eur. J. Oper. Res..

[5]  Christian Brannstrom,et al.  Is Brazilian wind power development sustainable? Insights from a review of conflicts in Ceará state , 2017 .

[6]  Roger F. Naill,et al.  A System Dynamics Model for National Energy Policy Planning , 1992 .

[7]  R. Dargaville,et al.  Forecasting high proportions of wind energy supplying the Brazilian Northeast electricity grid , 2017 .

[8]  Benjamin Bayer,et al.  The Brazilian experience with auctions for wind power: An assessment of project delays and potential mitigation measures , 2018, Energy Policy.

[9]  Alessandra Magrini,et al.  Environmental licensing process of power transmission in Brazil update analysis: Case study of the Madeira transmission system , 2014 .

[10]  Federica Cucchiella,et al.  Issue on supply chain of renewable energy , 2013 .

[11]  Suani Teixeira Coelho,et al.  Energy access: Lessons learned in Brazil and perspectives for replication in other developing countries , 2013 .

[12]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .

[13]  Rogelio Oliva,et al.  Model calibration as a testing strategy for system dynamics models , 2003, Eur. J. Oper. Res..

[14]  I. Dyner,et al.  Optimizing the insertion of renewable energy in the off-grid regions of Colombia , 2019, Journal of Cleaner Production.

[15]  Alexandre Szklo,et al.  The vulnerability of renewable energy to climate change in Brazil , 2009 .

[16]  Yaman Barlas,et al.  Formal aspects of model validity and validation in system dynamics , 1996 .

[17]  Hassan Qudrat-Ullah.  Green power in Ontario: A dynamic model-based analysis , 2014 .

[18]  Patrícia Fortes,et al.  Integrated technological-economic modeling platform for energy and climate policy analysis , 2014 .

[19]  R. Leão,et al.  Estimating the offshore wind resources of the State of Ceará in Brazil , 2015 .

[20]  Isaac Dyner,et al.  Electricity market reform in Argentina: assessing the impact for the poor in Buenos Aires , 2005 .

[21]  Firdaus Muhammad-Sukki,et al.  Application of system dynamics approach in electricity sector modelling: A review , 2016 .

[22]  Anderson Rodrigo de Queiroz,et al.  An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience , 2017 .

[23]  J. Feltes,et al.  Transmission expansion in Brazil for renewables , 2012, 2012 IEEE Power and Energy Society General Meeting.

[24]  Erik R. Larsen,et al.  From planning to strategy in the electricity industry , 2001 .

[25]  Milton M. Herrera,et al.  Assessing the effect of transmission constraints on wind power expansion in northeast Brazil , 2019, Utilities Policy.

[26]  Paulo Rotela Junior,et al.  Wind power generation: An impact analysis of incentive strategies for cleaner energy provision in Brazil , 2016 .

[27]  E. Behrentz,et al.  Challenges in greenhouse gas mitigation in developing countries: A case study of the Colombian transport sector , 2019, Energy Policy.

[28]  Raul Miranda,et al.  Contributions to the analysis of “Integrating large scale wind power into the electricity grid in the Northeast of Brazil” [Energy 100 (2016) 401–415] , 2017 .

[29]  C. J. Franco,et al.  Delays in electricity market models , 2017 .

[30]  C. Brannstrom,et al.  Wind power gone bad: Critiquing wind power planning processes in northeastern Brazil , 2018, Energy Research & Social Science.

[31]  Maria Madalena Teixeira de Araújo,et al.  Scenarios for the future Brazilian power sector based on a multi-criteria assessment , 2017 .

[32]  Paula Ferreira,et al.  Planning for a renewable future in the Brazilian power system , 2018, Energy.

[33]  U. Rodriguez,et al.  Modelling the impact of energy policies on the Philippine economy: Carbon tax, energy efficiency, and changes in the energy mix , 2015 .

[34]  Marcio Giannini Pereira,et al.  Wind energy in Brazil: From the power sector's expansion crisis model to the favorable environment , 2013 .

[35]  Isaac Dyner.  Energy modelling platforms for policy and strategy support , 2000, J. Oper. Res. Soc..

[36]  C. J. Franco,et al.  Assessing emissions–mitigation energy policy under integrated supply and demand analysis: the Colombian case , 2016 .

[37]  Celma de Oliveira Ribeiro,et al.  Successful Brazilian experience for promoting wind energy generation , 2018 .

[38]  Hassan Qudrat-Ullah,et al.  How to do structural validity of a system dynamics type simulation model: The case of an energy policy model , 2010 .

[39]  Maurício Cardoso Arouca,et al.  Electric energy generation from small-scale solar and wind power in Brazil: The influence of location, area and shape , 2016 .

[40]  Benjamin Bayer.  Experience with auctions for wind power in Brazil , 2018 .

[41]  Andrew Ford,et al.  System Dynamics and the Electric Power Industry , 1997 .

[42]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[43]  R. Li,et al.  How might China achieve its 2020 emissions target? A scenario analysis of energy consumption and CO2 emissions using the system dynamics model , 2015 .

[44]  C. J. Franco,et al.  Simulating the new British Electricity-Market Reform , 2015, Eur. J. Oper. Res..

[45]  Isaac Dyner,et al.  Effects of the penetration of wind power in the brazilian electricity market , 2016 .

[46]  Pieter de Jong,et al.  Economic and environmental analysis of electricity generation technologies in Brazil , 2015 .

[47]  Pieter de Jong,et al.  Integrating large scale wind power into the electricity grid in the Northeast of Brazil , 2016 .

[48]  Ann van Ackere,et al.  Winners and losers of market coupling , 2015 .

[49]  Hui-Ming Wee,et al.  Renewable energy supply chains, performance, application barriers, and strategies for further development , 2012 .

[50]  J. R. Maiorino,et al.  Sustainability deterioration of electricity generation in Brazil , 2015 .

[51]  Dagnija Blumberga,et al.  Modelling the Latvian power market to evaluate its environmental long-term performance , 2016 .

[52]  Milton M. Herrera,et al.  Alternative energy policy for mitigating the asynchrony of the wind-power industry’s supply chain in Brazil , 2018 .

[53]  J. Sterman,et al.  The energy transition and the economy : a system dynamics approach , 1982 .