See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/283742951 Eletric vehicles impact using renewable energy Article · June 2015 DOI: 10.1109/EVER.2015.7113007 CITATIONS READS 23 298 5 authors, including: Michela Longo Fabio Viola Politecnico di Milano Università degli Studi di Palermo 299 PUBLICATIONS 2,891 CITATIONS 217 PUBLICATIONS 2,673 CITATIONS SEE PROFILE SEE PROFILE Pietro Romano Rosario Miceli Università degli Studi di Palermo Università degli Studi di Palermo 171 PUBLICATIONS 2,356 CITATIONS 417 PUBLICATIONS 5,811 CITATIONS SEE PROFILE All content following this page was uploaded by Fabio Viola on 06 May 2019. The user has requested enhancement of the downloaded file. SEE PROFILE 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) Eletric Vehicles Impact using Renewable Energy Michela Longo, Dario Zaninelli Department of Energy, Politecnico di Milano Milano, Italy michela.longo@polimi.it, dario.zaninelli@polimi.it Abstract—In this moment, the principle topics for the modern world are the reduction of environmental pollution and the production of energy from renewable sources (for example photovoltaic system, wind farm, hydroelectric plants, etc.). This particular attention is determined by different reasons, in particular from the Kyoto Protocol, and from different problems as greenhouse effect, acid rain and climate change. The scope of this work is to study, for different years (1997-2013) in Italy, the production of electric energy from renewable and non-renewable. At a later stage, the attention will be on the consumption of the electric energy divided for different sectors. In particular, we study the possible solutions in order to reduce emissions. This paper examines the integration of sources of renewable energy in all regions of Italy where the focus is on the possibility to reduce emission integrating the electric vehicles. Keywords-electric vehicles; wind farm; green energy; vehicles fleet. I. INTRODUCTION The Kyoto Protocol (KP)was adopted in Kyoto, Japan, in 1997. Due to a complex ratification process, it entered into force in 2005. The KP is significant because, unlike previous negotiations on climate change, which had only suggested that governments voluntarily reduce their emission of greenhouse gases, it contains concrete mandatory aims for the countries which have signed it, as for example Italy [1, 2].This policy indicates different aspects, in particular: compensating for emissions by increasing the number of a country’s carbon sinks; emissions trading; clean development mechanism; joint implementation. In this moment, the principle topics for the modern world are the reduction of environmental pollution and the production of energy from renewable sources (for example photovoltaic system, wind farm, hydroelectric plants, etc.) [3]. A strong increase in renewable energy generation is a trend to which many Countries are oriented. This aspect has been central since many years, first for the economic and reliable benefits that the introduction of renewable sources (RES) in the generation system could cause [4-6] and now for the rapid increase in world demand for electricity coupled with the need to reduce the high carbon emissions due to the use of fossil fuel [7].But not enough to move towards a sustainable production of electric energy .It is very important to understand what are the 978-1-4673-6785-1/15/$31.00 ©2015 European Union Fabio Viola, Pietro Romano, Rosario Miceli, IEEE member Dipartimento di Energia, ingegneria dell’Informazione e modelli Matematici, University of Palermo, Palermo, Italy, fabio.viola@unipa.it, pietro.romano@unipa.it, rosario.miceli@unipa.it sectors that pollute and in this case to apply the solutions that bring down emissions. In all countries, there are many sectors that generate pollution, but one in particular is more critical and it is the traffic[8, 9].The exposure to air pollution from traffic can create the development of asthma in children and adults and the diesel exhaust can cause lung cancer. It is necessary to think at different strategies with short- and long-term, for example: Reducing vehicle emissions: introducing programs to remove or retrofit high-emission vehicles; reducing traffic congestion; expanding infrastructure for electric vehicles (EVs). Modifying current infrastructure: limiting heavy truck traffic to specific routes; separating active commuting zones from busy roads Better land-use planning and traffic management Encouraging behavioral change: creating policies to reduce traffic congestion in specific areas and encouraging alternative commuting behaviors. Right on, the first point it has been decided to investigate. This study aims to present a preliminary research of the impact, in terms of vehicle fleet, the diffusion of photovoltaic and wind generation in all regions of Italy. This work want to show as both possible to use the energy production of renewable resources to recharging the electric vehicles. Starting from data collected, the following analysis proposes a study of the feasibility between electric vehicle and renewable energy introduction. The paper firstly presents a brief description of the production and consumption of Italian electric energy (Section 2) and of the data collection used for this analysis (Section 3). Section 4 presents the processing of the collected data and finally, the results and discussion are reported in section 5. II. PRODUCTION ANDCONSUMPTIONOF ELECTRIC ENERGY IN ITALY This section wants to gather different information on the Italian electric production. In particular, the attention is focused on the production of electric energy with electric plants correlate with the diffusion of the renewable sources, in particular photovoltaic systems, wind, thermal, geothermal and hydroelectric plants in Italy from 1997 to 2013 in order to perform a correlation among the values of the consumption for different sectors of the electric energy. The choice to start the 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) analysis from 1997, derives from the fact that the Kyoto protocol was signed in that year. industry and household users executing new policies for the reduce for pollution. 180000 Energy consumpion [GWh] 120000 Energy [GWh] 100000 80000 60000 40000 20000 160000 140000 120000 100000 80000 60000 40000 20000 0 0 Year Hydroelectric plant Year Wind Plant Biomass Power Plant Geothermal plant Agriculture Solar Plant Figure 1. Production of electric energy for different sources (renewable systems). Figure 1 shows the energy produced to the renewable energy. It is possible to observe that from year 2008, the number of installation for renewable system has been increased. In particular, the solar plant has had the highest diffusion from 2011 to 2013. Of all renewable energy sources, solar PV's success is second only to hydro, which provided 23.4% of Italy's electricity in the same time period. Wind farms and geothermal power contributed a further 5.8% and 2%, respectively. Figure 2 shows the production of electric energy with non-renewable systems. 350000 Energy [GWh] 300000 Industry Service Sector Household uses Figure 3. Energy consumption fo different sectors. III. DATA COLLECTION This survey has been carried out considering the data available from a specific website, and specifically the TERNA site [10]. TERNA is the Italian Transmission System Operator (TSO) that manages electricity transmission in Italy guaranteeing its safety, quality and affordability over time. It ensures equal access conditions to all grid users. Moreover, it develops market activities and new business opportunities with the experience and technical skills gained in managing complex systems. However, the focus is on the diffusion of photovoltaic system and wind farm in addition to the diffusion vehicle fleet in all Italian regions during different years, in specific from 2007- 2013. This choice derives observing of the evolution and different diffusion between renewable and non-renewable energy. In this work, they have been used different websites for collect data, even if in the TERNA site is been possible to find many information. Other useful sites for analysis are: ACI and ARPA sites allow different information on vehicle fleet different for all regions in Italy; 250000 200000 ATLASOLE site [11] is the geographic information system that identifies the photovoltaic systems distributed on Italian grid. This allows the installations PV at the different level, for example Region, Province or District. However, it shows photovoltaic systems grouped by power classes and by number of systems in function. 150000 100000 50000 0 Thermal Plant Year Total Renewable sources Figure 2. Production of electric energy for Termal plant. In addition, in this case, it is possible to see that from year 2009 the production of thermal energy is reduced respect the last years. This effect is very important because it demonstrated that renewable energies are spreading. The production of electric energy both from green energy and non-renewable is used for different sectors as shown in Figure 3. In fact, it is possible to observe the decrease of consumption of the energy for some sectors, for example ATLAVENTO site [12] allows the interactive viewing of wind parks in Italy, dividing them on national, regional and provincial levels, with number of wind systems, power (MW) and production (GWh). A. Photovoltaic System For several years, the incentive policies carried out in Italy have led to the development and spread of several photovoltaic installations throughout the country. In particular, much progress in installed power can be seen starting from 2009, as shown in Fig. 4. 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) 500000 18000 400000 15000 300000 12000 9000 200000 6000 Number of PV system 100000 3000 0 0 2007 2008 2009 2010 Years Energy production [GWh] 2011 2012 4.00E+07 2013 Number of PV system 3.00E+07 Figure 4. Number of PV plants and production green energy in Italy for different years. The development of renewable energy and photovoltaic systems has radically transformed the electricity generation system in Italy. Furthermore, the distribution of the installed power and the number of photovoltaic systems in Italian regions is not homogeneous. In fact, the highest number of systems is found in the North, especially in Lombardy and Veneto. The percentage distribution of plants in Italy has shown a higher concentration of installations in the North about 54%, the Centre has installed about 17% in the south the remaining 29%. Nevertheless, if the North Italy is characterized by many small size power plants, in the South Italy is characterized by high power systems installations. B. Wind Farm The conditions for the production of wind energy in Italy is not the most favorable, because of the long and narrow shape of the territory and the presence of high reliefs, such as the Alps, which are an obstacle to the winds, but locally there are many favorable situations, particularly along the Apennines and the Adriatic islands. It is evident that the regions of the south and center are the most productive, thanks to the favorable winds along the ridge of the Apennines and the hills of the islands, while the presence of the Alps affects negatively for North Regions. The energy produced for 24% comes from Sicily, 23% from Puglia, 13.6% from Campania, 13% from Calabria, 10.6% from Sardinia, 6.3% from Molise, Basilicata by 4.6%, 3% from Abruzzo. In all other regions, the production of energy from wind power is less than 1%. Figure 5 shows the number of wind farm and the energy production. 1200 14000 1000 12000 10000 800 8000 600 6000 400 4000 Number of wind farm Energy production [GWh] C. Vehicle Fleet When it speaks to fleet vehicles are groups of motor vehicles owned or leased by an individual or family, business and government agency or other organization. Different typologies are presented in a country, for example the autobus, cars, scooters, trucks, etc. In this paper, it has been considered only the cars in different years, from 2007 to 2013. Figure 6 shows the total number of vehicle fleet during the last years in all Italy. 200 2000 0 0 2007 2008 2009 2010 Years Energy production [GWh] 2011 2012 2013 Number of wind farm Figure 5. Number of WIND farms and production green energy in Italy. # Vehicle Fleet Energy production [GWh] 21000 2.00E+07 1.00E+07 0.00E+00 2007 2008 2009 2010 Years 2011 2012 2013 Figure 6. Total number of vehicle fleet in the last years. IV. PROCESSING OF THE DATACOLLECTED All the data collected previously described have been processed in order to find the feasibility of the integration of electric vehicles and PV systems and wind farms. The comparison have been carried out among the 20 Italian regions that have different characteristics regarding the above items. In order to facilitate the study, they have been considered some variables: EPVRegion: PV energy production in GWh in a specific region of Italy; EWINDRegion: wind energy production in GWh in a specific region of Italy; EEVsRegion: energy required for recharge the electric vehicles; EgridRegion: energy required to the electric grid; For the electric vehicles, it is necessary to consider different information, in particular: Cbattery: battery capacity of 24 kWh DOD: Depth Of Discharge is equal to 60% : efficiency of the charging system is 85%. Cave: the average value of consumption, in this study, it is considere equal to 0.213 kWh/km. ΔSOC: the energy that must be provided to the vehicles will depend on the difference between the initial and final States Of Charge of the battery. In this case, it has been considered the unfavorable case where ΔSOC is equal to 60%. Dcharge:the possible distance travelled in annual with different State of Charge, but in this case for ΔSOC equal to 60% the annual distance is 24676 km. According to the computed average distance, it is possible to evaluate the energy required by the electric vehicles considered. So, we determine the energy required on an annual basis: 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) Lombardy (1) 6000000 12 EPV Re gions Ed m, , (2) m1 3000000 40000 2000000 20000 1000000 where Ed is energy generated by PV system, where it must be changed depending of the region considered; m are months, as January is equal to 1 and December is equal to 12; is the Azimuth angle and istheTilt angle [13]. Applying the mathematical law (1) and (2),it is possible to obtain the requested energy necessary to recharge the electric vehicle, in (3) EGrid Re gions EPV Re gions EEVs Re gions (3) The assessment of the energy flows within the charging system requires the knowledge of the daily production curves of the PV system and the demand curves of the EVs. In this preliminary study, it analyses how many electric vehicles that can be recharged with the energy produced by PV systems and Wind farms distributed in different Italian regions. Figure 7 shows details for regions in Italy, in particular the total number of cars and the green cars obtained with the recharge to PV systems and Wind farms. It is possible to observe that a high presence of photovoltaic or wind generation substantially causes a high diffusion of the electric vehicles. Obviously, in this case it has been hypothesized that all energy production is used to recharge the EVs, but in future work, they will considered different scenarios where the energy will used for different uses and not only for EVs 0 2007 2008 2009 2010 2011 2012 2013 Years # Evs with Wind energy # Evs with PV energy # Vehicle Fleet Trentino A. A. # Vehicle Fleet ANALYSIS OF RESULTS 0 800000 20000 600000 15000 400000 10000 200000 5000 0 0 2007 2008 2009 2010 2011 2012 2013 Years # Evs with Wind energy # Evs with PV energy # Vehicle Fleet Veneto 3000000 80000 2500000 # Vehicle Fleet V. 60000 4000000 # Electric Vehicles It is possible to obtain the annual electricity production generated of PV systems, using the (2): 80000 5000000 # Electric Vehicles 60000 2000000 1500000 40000 1000000 20000 500000 0 # Electric Vehicles Dch arg e Cave # Vehicle Fleet EEVs Re gions 0 2007 2008 2009 2010 2011 2012 2013 Years Aosta Valley # Evs with Wind energy # Evs with PV energy # Vehicle Fleet 1000 80000 400 40000 200 0 0 2007 2008 2009 2010 2011 2012 2013 Years # Evs with Wind energy # Evs with PV energy Friuli V. G. 800000 20000 600000 15000 400000 10000 200000 5000 # Vehicle Fleet 0 0 2007 2008 2009 2010 2011 2012 2013 Years # Evs with Wind energy # Evs with PV energy # Vehicle Fleet # Electric Vehicles 600 # Vehicle Fleet 800 120000 # Electric Vehicles # Vehicle Fleet 160000 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) Marche Liguria 1000000 20000 50000 600000 10000 400000 5000 200000 0 2011 2012 200000 10000 0 2007 2013 2008 2009 Years # Evs with Wind energy # Evs with PV energy # Evs with Wind energy # Vehicle Fleet 1500000 40000 1000000 20000 500000 0 # Vehicle Fleet 60000 2000000 # Electric Vehicles # Vehicle Fleet 2500000 2011 2012 4000000 80000 3000000 60000 2000000 40000 1000000 20000 0 2007 2013 2008 2009 Years # Evs with Wind energy # Evs with PV energy # Evs with Wind energy # Vehicle Fleet 20000 1000000 10000 500000 0 # Vehicle Fleet 1500000 # Electric Vehicles # Vehicle Fleet 30000 2011 2012 60000 800000 40000 600000 400000 20000 200000 0 2007 2013 2008 2009 Years # Evs with PV energy # Evs with Wind energy # Vehicle Fleet 400000 10000 200000 5000 0 0 2011 2012 2013 # Vehicle Fleet 15000 # Electric Vehicles # Vehicle Fleet 600000 2010 2013 # Vehicle Fleet 300000 120000 200000 80000 100000 40000 0 0 2007 2008 Years # Evs with Wind energy 2012 Molise 20000 2009 2011 # Evs with PV energy Umbria 2008 2010 Years 800000 2007 # Vehicle Fleet 0 0 # Evs with Wind energy 2013 Abruzzo 2000000 2010 2012 1000000 40000 2009 2011 # Evs with PV energy Tuscany 2008 2010 Years 2500000 2007 # Vehicle Fleet 0 0 2010 2013 Lazio 80000 2009 2012 # Evs with PV energy Emilia R. 2008 2011 Years 3000000 2007 2010 # Electric Vehicles 2010 20000 # Electric Vehicles 2009 400000 # Evs with PV energy 2009 2010 2011 2012 2013 Years # Vehicle Fleet # Evs with Wind energy # Evs with PV energy # Vehicle Fleet # Electric Vehicles 2008 30000 600000 0 0 2007 40000 800000 # Electric Vehicles 15000 # Vehicle Fleet 800000 # Electric Vehicles # Vehicle Fleet 1000000 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) Sicily 300000 2000000 200000 1000000 100000 0 300000 2000000 200000 1000000 2009 2010 2011 2012 100000 0 0 2007 2013 2008 2009 Years # Evs with Wind energy # Evs with PV energy # Evs with Wind energy # Vehicle Fleet 300000 1000000 200000 100000 0 # Vehicle Fleet 400000 # Electric Vehicles # Vehicle Fleet 500000 2000000 300000 800000 200000 400000 100000 2011 2012 0 0 2007 2013 2008 2009 Years # Evs with Wind energy # Evs with PV energy # Evs with Wind energy # Vehicle Fleet 300000 150000 200000 100000 100000 50000 0 # Electric Vehicles # Vehicle Fleet 200000 0 2009 2010 2011 2012 VI. 2013 # Evs with PV energy # Vehicle Fleet ∆𝑟𝑒𝑑𝑢𝑐𝑡𝑖𝑜𝑛𝑝𝑜𝑙 = 0.70 # Evs with PV energy DISCUSSION 2013 𝐸𝑙𝑒𝑐𝑡𝑟𝑖𝑐 𝑉𝑒ℎ𝑖𝑐𝑙𝑒𝑠 𝑉𝑒ℎ𝑖𝑐𝑙𝑒 𝑓𝑙𝑒𝑒𝑡 . (4) # Vehicle Fleet Figure 8 shows the air pollution index for all Italian regions, in particular only for 2013 year. Calabria 1600000 240000 180000 800000 120000 400000 60000 0 D reducion pollution 300000 1200000 # Electric Vehicles # Vehicle Fleet 2012 A recent paper [14] shows that driving vehicles fed by electricity from renewable energy instead of gasoline could reduce the resulting deaths due to air pollution by 70 percent. Each Italian region has the potential to reduce deaths caused by air pollution index equal to: Years # Evs with Wind energy 2011 Figure 7. Italy's regions indicating vehicle Fleet and EVs recharged of Photovoltaic Systems and Wind Farms. 400000 2008 2010 Years Basilicata 2007 # Vehicle Fleet 1200000 0 2010 2013 Sardinia 600000 2009 2012 # Evs with PV energy Apulia 2008 2011 Years 3000000 2007 2010 # Electric Vehicles 2008 400000 3000000 0 2007 500000 # Electric Vehicles 3000000 4000000 # Vehicle Fleet 400000 # Electric Vehicles # Vehicle Fleet Campania 4000000 0.5 0.4 0.3 0.2 0.1 0 2007 2008 2009 2010 2011 2012 2013 0 Years # Evs with Wind energy # Evs with PV energy # Vehicle Fleet Regions Figure 8. Italy's regions indicating air pollution index for 2013 year. 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER) In this way, following the reasoning set out in the project Aphekom [15], which evaluated the occurrence of diseases and related costs for the national health system, it is possible to evaluate an economic benefit in using electricity produced from renewable sources. Focusing only on the reduction of Particulate Matter 10 and 2.5, are distinguishable two possible objectives: 1) reduction of 5[𝜇𝑔⁄𝑚3 ] corresponding to a PM10 reduction of 13% and 24% of PM2,5; 2) reducing the values established by the World Health Organization, which would result in a halving of the current emissions. TABLE I. APHEKOM PROJECT Aphekom project reduction Economic value[M€] PM10 13% 5,3 50% 19,7 PM2,5 24% 983,1 50% 2.115,1 Considering three regions: Lombardy, Lazio and Sicily, for which the application of the formula 4 brings a reduction respectively 0.93, 1.4 and 8.75%, the following minimum savings for the national health system, respectively can be assumed. TABLE II. ECONOMICAL VALUATION OF THE REDUCTION OF PM10AND PM2.5 Economic savings Lombardy Reduction PM10 0.93% Savings 0.215 [M€] Reduction PM2,5 0.93% Savings 38.1 [M€] Lazio 1.4% 0.323 Sicily 8.75% 2.019 1.4% 57.3 8.75% 321.5 VII. CONCLUSIONS The aim of this work is to study the feasibility between electric vehicles and photovoltaic systems and wind farm. The analyzed period considers five years, from 2009 to 2013. The study has been carried out for the 20 Italian regions, each as a representative case of a particular combination of vehicle fleet, PV, wind and EVs. The obtained results show that in general, it is possible to integrate and to recharge the EVs. This diffusion can permit to reduce the pollution e to think at the environmental. Obviously, the use of photovoltaic systems or wind farms are not used only for electric vehicles but in general, they can be used for another uses, for example to domestic use. In discussions, a brief assessment of the economic return in the savings of the national health system is traced. The future work will be to study the reduction of pollution for different emissions, for example CO2, NOx, PM2.5 and PM10 for all regions analyzed in this study. View publication stats ACKNOWLEDGMENTS The authors acknowledge the financial support from University of Palermo and from PON i-Next: Innovation for greeN Energy and eXchange in Transportation, PON04a2_H 2007-2013. REFERENCES [1] [2] https://www.mtholyoke.edu/~danov20d/site/goals.htm S. Walker, K.W. Hipel, T. Inohara, “Strategic analysis of the Kyoto protocol”,Conference onIEEE InternationalSystems, Man and Cybernetics (ISIC),pp. 1806 – 1811, 2007, doi: 10.1109/ICSMC.2007.4413880. [3] T. Pelkonen, A. Tapaninen, “Trends in renewable energy production and media coverage: A comparative study”, Proceedings ofTechnology Management for Emerging Technologies (PICMET), 2012, pp. 2925 – 2931. [4] D. Shruthi, “Information and Communication Technologies for sustainable renewable energy sources promoting green environmental growth”,International Conference onIssues and Challenges in Intelligent Computing Techniques (ICICT), 2014, pp. 820 – 824, doi: 10.1109/ICICICT.2014.6781386 [5] Jinxu Ding, A. 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