Macro economic impact, reduction of fee deficit and profitability of a sustainable transport model based on electric mobility. Case study: City of León (Spain)

The Spanish economy faces two key issues. The first of these is the significant reliance on non-renewable energy, which reached 76.4% and was 22 points over the European Union average. Secondly, the threat that the fee deficit poses to the sustainability of the National Grid. This fact is forcing the Spanish Government to implement measures focused on tax increases. However, these decisions have done little to contain the situation. This paper proposes the use of sustainable transport models based on electric mobility: smart grids, buses, taxis and electric vehicles, in the city of Leon, Spain (135,059 inhabitants) as an important means for controlling and reducing the fee deficit. Through exhaustive analysis of EV (electric vehicle) market penetration against current Government forecasts, a rigorous profitability study has been conducted for the period 2020–2030 (when smart grids will be ready). By introducing policy modifications, the Net Actual Value internal rate of return and payback figures justify its implementation. Thus, the fee deficit of Leon could be reduced by up to 43%. Finally, an analysis of macroeconomic impacts, such as competitive improvements in the economy, and environmental impact is conducted.

[1]  Xiaojun Hu,et al.  Energy for sustainable road transportation in China: Challenges, initiatives and policy implications , 2010 .

[2]  Dawei Wang,et al.  Life cycle analysis of internal combustion engine, electric and fuel cell vehicles for China , 2013 .

[3]  Toshihiko Nakata,et al.  Energy use and CO2 emissions reduction potential in passenger car fleet using zero emission vehicles and lightweight materials , 2012 .

[4]  D. Trichet,et al.  Design and testing of a fuel cell powertrain with energy constraints , 2012 .

[5]  Reinhart Kühne,et al.  Electric buses An energy efficient urban transportation means , 2010 .

[6]  John Lowry,et al.  Electric Vehicle Technology Explained , 2003 .

[7]  Murad Samhouri,et al.  Projection of future transport energy demand of Jordan using adaptive neuro-fuzzy technique , 2012 .

[8]  Ignacio Zabalza Bribián,et al.  Energy efficiency in transport and mobility from an eco-efficiency viewpoint , 2011 .

[9]  Alicia Valero,et al.  Multicriteria analysis for the assessment of energy innovations in the transport sector , 2013 .

[10]  Alexandre Szklo,et al.  Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil , 2012 .

[11]  Nina Juul,et al.  Effects of electric vehicles on power systems in Northern Europe , 2012 .

[12]  Qi Zhang,et al.  A methodology for economic and environmental analysis of electric vehicles with different operational conditions , 2013 .

[13]  Thomas H. Bradley,et al.  Design, demonstrations and sustainability impact assessments for plug-in hybrid electric vehicles , 2009 .

[14]  Arif S. Malik,et al.  Effects of smart grid technologies on capacity and energy savings – A case study of Oman , 2013 .

[15]  K. T. Chau,et al.  Modern Electric Vehicle Technology , 2001 .

[16]  Goran Krajačić,et al.  Forecasting long-term energy demand of Croatian transport sector , 2013 .

[17]  Umberto Lucia,et al.  Overview on fuel cells , 2014 .

[18]  Aoife Foley,et al.  Impacts of Electric Vehicle charging under electricity market operations , 2013 .

[19]  William J. Smith,et al.  Can EV (electric vehicles) address Ireland's CO2 emissions from transport? , 2010 .

[20]  Tom Newton How Cars Work , 1999 .

[21]  Jian Liu,et al.  Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing , 2012 .