Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system

The establishment of an optimal mix of renewable energy sources (RES) is pertinent to creating low-carbon energy systems with adequate load-following capabilities. Transitioning from a fossil fuel-based energy system to a system based on RES is a process in which the RES penetration must be guided by specific targets in the medium term. Moreover, the relative contributions from RES and fossil fuels in every stage of the transition process must be identified through clear optimization criteria. In this article, we propose a methodology denoted the Minimum Total Mix Capacity (MTMC) to determine the optimal mix of RES and fossil fuels in an electricity system by taking into account the hourly values of RES production and electricity demand. The MTMC methodology is applied to the Mexican electricity system, which greatly depends on fossil fuels. The Mexican Congress mandated that the fossil fuel-based electricity generation be limited to 65% by the year 2024, 60% by 2035 and 50% by 2050. We use the MTMC methodology to investigate the potential for RES integration into the Mexican electricity system by constructing three scenarios (low, mid and high biomass) to achieve the 2024 target and analyze the system’s response to varying contributions of wind and solar power production to the scenarios. The minimum complementary capacity based on fossil fuels that is needed to cover the demand without electricity imports is assessed to determine the total mix capacity for the transition system. Using the MTMC methodology, several combinations of biomass, wind and solar power that achieve a minimum of 35% RES electricity production are identified; however, there is only one combination that results in the minimum overall capacity, hence resulting in the optimal mix. Moreover, a domain of near-optimal mix combinations can be identified among all of the scenarios, which may also be considered as an alternative. Biomass has the highest effectiveness in terms of high RES production and the lowest required overall power generating capacity.

[1]  Otto Rentz,et al.  Model-based analysis of effects from large-scale wind power production , 2007 .

[2]  B. Mathiesen,et al.  A technical and economic analysis of one potential pathway to a 100% renewable energy system , 2014 .

[3]  Martin Greiner,et al.  Seasonal optimal mix of wind and solar power in a future, highly renewable Europe , 2010 .

[4]  Daniela Thrän,et al.  Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources , 2014 .

[5]  Henrik Lund,et al.  Renewable energy strategies for sustainable development , 2007 .

[6]  Jayakrishnan Radhakrishna Pillai,et al.  Comparative analysis of hourly and dynamic power balancing models for validating future energy scena , 2011 .

[7]  Brian Vad Mathiesen,et al.  The role of district heating in future renewable energy systems , 2010 .

[8]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[9]  Donna Heimiller,et al.  Wind Energy Resource Atlas of Oaxaca , 2003 .

[10]  P. A. Østergaard Geographic aggregation and wind power output variance in Denmark , 2008 .

[11]  Main aspects of geothermal energy in Mexico , 2003 .

[12]  Feng Liu,et al.  Low-Carbon Development for Mexico , 2009 .

[13]  Evelina Trutnevyte,et al.  EXPANSE methodology for evaluating the economic potential of renewable energy from an energy mix perspective , 2013 .

[14]  Kim Bjarne Wittchen,et al.  Heat Saving Strategies in Sustainable Smart Energy Systems , 2014 .

[15]  Brian Vad Mathiesen,et al.  Large-scale integration of wind power into the existing Chinese energy system , 2011 .

[16]  Brian Vad Mathiesen,et al.  From electricity smart grids to smart energy systems – A market operation based approach and understanding , 2012 .

[17]  B. Mathiesen,et al.  100% Renewable energy systems, climate mitigation and economic growth , 2011 .

[18]  Hung-po Chao,et al.  Efficient pricing and investment in electricity markets with intermittent resources , 2011 .

[19]  David Connolly,et al.  The first step towards a 100% renewable energy-system for Ireland , 2011 .

[20]  Fabio Manzini,et al.  Reduction of greenhouse gases using renewable energies in Mexico 2025 , 2001 .

[21]  C. Potolias,et al.  A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece , 2013 .

[22]  Poul Alberg Østergaard,et al.  Reviewing optimisation criteria for energy systems analyses of renewable energy integration , 2009 .

[23]  Yu Chen,et al.  Islanding Control Architecture in future smart grid with both demand and wind turbine control , 2013 .

[24]  Poul Alberg Østergaard,et al.  Priority order in using biomass resources - Energy systems analyses of future scenarios for Denmark , 2013 .

[25]  P. A. Østergaard,et al.  Assessment and evaluation of flexible demand in a Danish future energy scenario , 2014 .

[26]  Brian Vad Mathiesen,et al.  Wind power integration using individual heat pumps – Analysis of different heat storage options , 2012 .

[27]  M. Redclift Mexico's nuclear paradox , 1989 .

[28]  Brian Vad Mathiesen,et al.  Energy system impacts of desalination in Jordan , 2014 .

[29]  Yasumasa Fujii,et al.  Assessment of massive integration of photovoltaic system considering rechargeable battery in Japan with high time-resolution optimal power generation mix model , 2014 .

[30]  Tao Ma,et al.  An energy system model for Hong Kong in 2020 , 2014 .

[31]  Fabio Manzini,et al.  CO2 mitigation costs for new renewable energy capacity in the Mexican electricity sector using renewable energies , 2004 .

[32]  Henrik Lund,et al.  Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply , 2006 .

[33]  Ruggero Bertani,et al.  Geothermal power generation in the world 2005–2010 update report , 2012 .

[34]  P. Karnøe,et al.  System and market integration of wind power in Denmark , 2013 .

[35]  W. Beckman,et al.  Evaluation of hourly tilted surface radiation models , 1990 .

[36]  Liviu Miclea,et al.  A Romanian energy system model and a nuclear reduction strategy , 2011 .

[37]  Brian Ó Gallachóir,et al.  Investigating 100% renewable energy supply at regional level using scenario analysis , 2014 .

[38]  Poul Alberg Østergaard,et al.  Wind power integration in Aalborg Municipality using compression heat pumps and geothermal absorption heat pumps , 2013 .

[39]  Christopher W. Zobel,et al.  An optimization model for regional renewable energy development , 2012 .

[40]  Henrik Lund,et al.  Management of surplus electricity-production from a fluctuating renewable-energy source , 2003 .

[41]  Richard Green,et al.  The long-term impact of wind power on electricity prices and generating capacity , 2011 .

[42]  Henrik Lund,et al.  A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating , 2011 .

[43]  B. Mathiesen,et al.  Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage , 2011 .

[44]  A. Rabl,et al.  The average distribution of solar radiation-correlations between diffuse and hemispherical and between daily and hourly insolation values , 1979 .

[45]  A. Lamont Assessing the Long-Term System Value of Intermittent Electric Generation Technologies , 2008 .

[46]  O. A. Jaramillo,et al.  Wind power potential of Baja California Sur, México , 2004 .

[47]  Poul Alberg Østergaard Heat savings in energy systems with substantial distributed generation , 2003 .

[48]  Brian Vad Mathiesen,et al.  The role of Carbon Capture and Storage in a future sustainable energy system , 2012 .

[49]  Brian Vad Mathiesen,et al.  The feasibility of synthetic fuels in renewable energy systems , 2013 .

[50]  Mark Z. Jacobson,et al.  Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions , 2014, 1402.2833.

[51]  Poul Alberg Østergaard,et al.  Ancillary services and the integration of substantial quantities of wind power , 2006 .

[52]  I. Soares,et al.  Renewable energies impacting the optimal generation mix: The case of the Iberian Electricity Market , 2014 .

[53]  William D'haeseleer,et al.  Determining optimal electricity technology mix with high level of wind power penetration , 2011 .

[54]  Brian Vad Mathiesen,et al.  The technical and economic implications of integrating fluctuating renewable energy using energy storage , 2012 .

[55]  Poul Alberg Østergaard,et al.  Comparing electricity, heat and biogas storages’ impacts on renewable energy integration , 2012 .

[56]  F. Holland,et al.  Developments in geothermal energy in Mexico—Part one: General considerations , 1985 .

[57]  P. A. Østergaard Transmission-grid requirements with scattered and fluctuating renewable electricity-sources , 2003 .

[58]  Poul Alberg Østergaard,et al.  Towards Sustainable Energy Planning and Management , 2014 .

[59]  Fabio Manzini,et al.  Cost-benefit analysis of energy scenarios for the Mexican power sector , 2003 .

[60]  Brian Vad Mathiesen,et al.  Energy system analysis of 100% renewable energy systems-The case of Denmark in years 2030 and 2050 , 2009 .

[61]  Quetzalcoatl Hernandez-Escobedo,et al.  The wind power of Mexico , 2010 .

[62]  B. Thorsen,et al.  Allocation of biomass resources for minimising energy system greenhouse gas emissions , 2014 .

[63]  E. Iglesias,et al.  Low- to medium-temperature geothermal reserves in Mexico: a first assessment , 2003 .

[64]  Antonio J. Gutiérrez-Trashorras,et al.  Current state of wind energy in Mexico, achievements and perspectives , 2011 .

[65]  Poul Alberg Østergaard,et al.  The influence of an estimated energy saving due to natural ventilation on the Mexican energy system , 2014 .