On the potential contribution of rooftop PV to a sustainable electricity mix: the case of Spain

This work evaluates the potential contribution of rooftop PV to the future electricity mix. Several sustainable scenarios are considered, each comprising different shares of centralized renewables, rooftop PV and storage. For each generation scenario, the storage capacity that balances the net hourly demand is determined, and the portfolio combination that minimizes the cost of supplying electricity is obtained. The analysis is applied to mainland Spain, using public information and detailed granular models, both in time (hourly resolution) and space (municipal level). For the Spanish case, when the flexibility of hydro and biomass generation is taken into account, the least-cost portfolio involves rather modest storage capacities, in the order of daily rather than seasonal values. This shows that a sustainable, almost emissions-free electricity system for Spain is possible, at a cost that can be even lower than current wholesale market prices.

[1]  A. Jäger-Waldau,et al.  A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union , 2019, Renewable and Sustainable Energy Reviews.

[2]  Merlinde Kay,et al.  Battery energy storage system size determination in renewable energy systems: A review , 2018, Renewable and Sustainable Energy Reviews.

[3]  Ted Trainer,et al.  A critique of Jacobson and Delucchi's proposals for a world renewable energy supply , 2012 .

[4]  Audun Botterud,et al.  The value of energy storage in decarbonizing the electricity sector , 2016 .

[5]  Antonio Gomez-Exposito,et al.  Influence of rooftop PV generation on net demand, losses and network congestions: A case study , 2019, International Journal of Electrical Power & Energy Systems.

[6]  D. Assouline,et al.  Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests , 2018 .

[7]  Ted Trainer,et al.  100% Renewable supply? Comments on the reply by Jacobson and Delucchi to the critique by Trainer , 2013 .

[8]  M. A. Cameron,et al.  100% clean and renewable Wind, Water, and Sunlight (WWS) all-sector energy roadmaps for 53 towns and cities in North America , 2018, Sustainable Cities and Society.

[9]  Efstathios E. Michaelides,et al.  Energy storage needs for the substitution of fossil fuel power plants with renewables , 2020 .

[10]  Mark Z. Jacobson,et al.  Response to Trainer's second commentary on a plan to power the world with wind, water, and solar power , 2013 .

[11]  S. Grassi,et al.  A scalable method for estimating rooftop solar irradiation potential over large regions , 2018 .

[12]  Volker Coors,et al.  Large scale integration of photovoltaics in cities , 2012 .

[13]  M. Thring World Energy Outlook , 1977 .

[14]  Mark Z. Jacobson,et al.  Response to “A critique of Jacobson and Delucchi's proposals for a world renewable energy supply” by Ted Trainer , 2012 .

[15]  Taehoon Hong,et al.  Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis , 2017 .

[16]  C. Reinhart,et al.  A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations , 2013 .

[17]  Taehoon Hong,et al.  A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity , 2018, Applied Energy.

[18]  Martin K. Patel,et al.  GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa , 2018 .

[19]  Pierre Desprairies,et al.  World Energy Outlook , 1977 .

[20]  PV as a Major Contributor to the ~100% Renewably Powered World and Solving the Climate Battle , 2019 .

[21]  Zhao Xin-gang,et al.  Technology, cost, economic performance of distributed photovoltaic industry in China , 2019, Renewable and Sustainable Energy Reviews.

[22]  Kiti Suomalainen,et al.  Rooftop solar potential based on LiDAR data: Bottom-up assessment at neighbourhood level , 2017 .

[23]  Junli Li,et al.  Estimating technical potential for rooftop photovoltaics in California, Arizona and New Jersey , 2016 .

[24]  D. Assouline,et al.  Quantifying rooftop photovoltaic solar energy potential: A machine learning approach , 2017 .

[25]  Chia-Yon Chen,et al.  Evaluation of the development potential of rooftop solar photovoltaic in Taiwan , 2015 .

[26]  Ursula Eicker,et al.  Assessment of the photovoltaic potential at urban level based on 3D city models: A case study and new methodological approach , 2017 .

[27]  Mark Z. Jacobson,et al.  Examining the feasibility of converting New York State's all-purpose energy infrastructure to one using wind, water, and sunlight , 2013 .

[28]  Germán Martínez,et al.  Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain) , 2010 .

[29]  N. Fueyo,et al.  A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations , 2008 .

[30]  A. Gómez-Expósito,et al.  Self-sufficient renewable energy supply in urban areas: Application to the city of Seville , 2019, Sustainable Cities and Society.

[31]  Sérgio Freire,et al.  Applications of solar mapping in the urban environment , 2014 .