Abstract
The action is taken to reach the European objectives for mitigation and adaption to the climate change demand intervention at all urban levels, that is, from the residential building to the neighbourhood and from the neighbourhood to the city. However, this action must first be based on the diagnosis of the current state of the residential stock in relationship with two of the most significant environmental aspects which are energy consumption and CO2 emissions. Second, action must also be focused on the knowledge of the efficient retrofitting measures of the thermal envelope in order to measure the reach or repercussions that retrofitting may have on residential buildings constructed as a whole. In addition, there must be awareness of the existing social reality in certain areas, in order to prioritize action plans and strategies in a viable and realistic way. This chapter shows an example carried out in the city of Pamplona, in northern Spain. In this example, typologies of social-type dwellings in the different suburban neighbourhoods of the city have been identified, a diagnosis of the energy efficiency of these buildings and their energy rating has been obtained, and two retrofitting scenarios have been established in order to assess the repercussions of the measures taken. The socio-economic aspects of the population which affect the potential for retrofitting have also been studied. Likewise, the potential areas of greater energy and social vulnerability which demand special assistance and interventions in order to avoid situations of energy poverty have been identified. The complete information has been gathered in a GIS model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The census section is defined, with exceptions, as a continuous territory inhabited by minimum of 500 inhabitants and a maximum of 2.500, clearly limited by territorial, geographical and/or urban features. For this reason, and from a social perspective, due to its small extension, it ensures evident uniformity for its inhabitants and their families—particularly in terms of its relative position compared to the remaining sections. Therefore, the mean characteristics of all the other individuals in the section can be taken as valid for each individual unit of which it is composed (Veres, 1999).
On the maps, the continuous lines which divide the suburb mark the different census sections.
References
Alhamwi, A., Medjroubi, W., Vogt, T., & Agert, C. (2017). GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas. Applied Energy, 191, 1–9. https://doi.org/10.1016/j.apenergy.2017.01.048.
Braulio-Gonzalo, M., Bovea, M. D., & Ruá, M. J. (2015). Sustainability on the urban scale: Proposal of a structure of indicators for the Spanish context. Environmental Impact Assessment Review, 53, 16–30. https://doi.org/10.1016/j.eiar.2015.03.002.
Caryl-Sue. (2017). GIS (geographic information system)—National Geographic Society. Retrieved November 28, 2017, from https://www.nationalgeographic.org/encyclopedia/geographic-information-system-gis/.
Commission of the European Communities. (2008). Package of implementation measures for the EU’s objective on climate change and renewable energy for 2020, 27. http://doi.org/10.1007/s13398-014-0173-7.2.
CTE-HE. (2013). Documento Básico CTE-HE Ahorro de energÃa. Septiembre.
CuchÃ, A. (2013). Mesa Redonda sobre Rehabilitación y Empleo, organizada por PU Europe e IPUR - YouTube. Retrieved October 10, 2017, from https://www.youtube.com/watch?list=UUVJI0TzX1BlJsL7hduc_7RQ&time_continue=3&v=uWIf1Fk9-j8.
CuchÃ, A., & Sweatman, P. (2014). Informe GTR 2014. Estrategia para la rehabilitación. Claves para transformar el sector de la edificación en España, 84.
Entranze. (n.d.). ENTRANZE: Welcome to ENTRANZE project page. Retrieved October 10, 2017, from http://www.entranze.eu/.
EPDB. (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast). Official Journal of the European Union, 13–35. https://doi.org/doi:10.3000/17252555.L_2010.153.eng.
European Commission. (2013). Green paper—A 2030 framework for climate and energy policies. COM(2013) 169 Final, 1–16. Retrieved from http://ec.europa.eu/clima/policies/strategies/2030/documentation_en.htm.
European Commission. (2014). Comunicación de la comisión al Parlamento Europeo, al consejo, al Comité Económico y social europeo y al Comité de las regiones, pp. 1–21.
European Commission. (2016). Acuerdos internacionales sobre actuación en materia climática. Retrieved October 10, 2017, from http://www.consilium.europa.eu/es/policies/climate-change/international-agreements-climate-action/.
Fabbri, K., Zuppiroli, M., & Ambrogio, K. (2012). Heritage buildings and energy performance: Mapping with GIS tools. Energy and Buildings, 48, 137–145. https://doi.org/10.1016/j.enbuild.2012.01.018.
Gobierno de Navarra. (n.d.). SITNA: Sistema de Información Territorial de Navarra. Retrieved October 10, 2017, from http://sitna.navarra.es/geoportal/?lang=.
Gobierno Vasco, D.F. de G. (2013). Pobreza energética.
Gupta, R., & Gregg, M. (2013). Preventing the overheating of English suburban homes in a warming climate. Building Research & Information, 41(3), 281–300. https://doi.org/10.1080/09613218.2013.772043.
INE. (2011). DemografÃa y población. Cifras de población y censos demográficos. Censos de Población y Viviendas 2011. Retrieved October 10, 2017, from http://www.ine.es/censos2011_datos/cen11_datos_inicio.htm.
Inter-American Development Bank. (2010). Inter-American Development Bank, (March). Retrieved from http://www.iadb.org/en/inter-american-development-bank,2837.html.
Johansson, T., Vesterlund, M., Olofsson, T., & Dahl, J. (2016). Energy performance certificates and 3-dimensional city models as a means to reach national targets—A case study of the city of Kiruna. Energy Conversion and Management, 116, 42–57. https://doi.org/10.1016/j.enconman.2016.02.057.
Mavrogianni, A., Davies, M., Chalabi, Z., Wilkinson, P., Kolokotroni, M., & Milner, J. (2009). Space heating demand and heatwave vulnerability: London domestic stock. Building Research & Information, 37(5–6), 583–597. https://doi.org/10.1080/09613210903162597.
Mentis, D., Andersson, M., Howells, M., Rogner, H., Siyal, S., Broad, O., … Bazilian, M. (2016). The benefits of geospatial planning in energy access—A case study on Ethiopia. Applied Geography, 72, 1–13. http://doi.org/10.1016/j.apgeog.2016.04.009.
Min, J., Hausfather, Z., & Lin, Q. F. (2010). A high-resolution statistical model of residential energy end use characteristics for the United States. Journal of Industrial Ecology, 14(5), 791–807. https://doi.org/10.1111/j.1530-9290.2010.00279.x.
Nouvel, R., Mastrucci, A., Leopold, U., Baume, O., Coors, V., & Eicker, U. (2015). Combining GIS-based statistical and engineering urban heat consumption models: Towards a new framework for multi-scale policy support. Energy and Buildings, 107, 204–212. https://doi.org/10.1016/j.enbuild.2015.08.021.
nastat. (n.d.). Retrieved from http://www.navarra.es/home_es/Gobierno+de+Navarra/Organigrama/Los+departamentos/Economia+y+Hacienda/Organigrama/Estructura+Organica/Instituto+Estadistica.
Rubio del Val, J. (2011). Rehabilitación Urbana en España (1989–2010). Barreras actuales y sugerencias para su eliminación. Informes de La Construcción, 63(Extra), 5–20. http://doi.org/10.3989/ic.11.060.
Santamouris, M., Kapsis, K., Korres, D., Livada, I., Pavlou, C., & Assimakopoulos, M. N. (2007). On the relation between the energy and social characteristics of the residential sector. Energy and Buildings, 39(8), 893–905. https://doi.org/10.1016/j.enbuild.2006.11.001.
Soriano, M. (n.d.). Observatorio de la Sostenibilidad - X UN FUTUROÂ +Â SOSTENIBLE. Retrieved October 10, 2017, from http://www.observatoriosostenibilidad.com/.
Swan, L. G., & Ugursal, V. I. (2009). Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and Sustainable Energy Reviews, 13(8), 1819–1835. https://doi.org/10.1016/j.rser.2008.09.033.
Theodoridou, I., Karteris, M., Mallinis, G., Papadopoulos, A. M., & Hegger, M. (2012). Assessment of retrofitting measures and solar systems’ potential in urban areas using geographical information systems: application to a Mediterranean city. Renewable and Sustainable Energy Reviews, 16(8), 6239–6261. https://doi.org/10.1016/j.rser.2012.03.075.
Tirado Herrero, S., Jiménez Meneses, L., López Fernandez, J. L., & MartÃn GarcÃa, J. (2014). Pobreza Energética en España. Informe de tendencias. Asociacion de Ciencias Ambiantales, 1, 171.
UNFCCC. (2015). Paris Climate Change Conference-November 2015, COP 21. Adoption of the Paris Agreement. Proposal by the President., 21932(December), 32. http://doi.org/FCCC/CP/2015/L.9/Rev.1.
Veres, E. J. (1999). Ordenación de secciones censales según un indicador de pobreza. EstadÃstica Española, 41(144), 169–201. https://doi.org/10.1016/j.proenv.2010.10.187.
Acknowledgements
We would like to thank the Fundación Caja Navarra for founding the Project ‘Energy-Social Model of Houses Built between 1940 and 1980 in Rochapea and Chantrea Neighbourhoods, Pamplona’. We wish to give special thanks to Juan José Pons-Izquierdo, Ana Castillejo and Jorge San Miguel for their collaboration in the GIS programme and collecting data. Finally, we appreciate the assistance of Cristina Güell in this chapter.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Monge-Barrio, A., Sánchez-Ostiz Gutiérrez, A. (2018). The Scope of Retrofitting on an Urban Scale. Use of Geographic Information Systems, GIS, for Diagnosis of Energy Efficient Interventions at an Urban Level. In: Passive Energy Strategies for Mediterranean Residential Buildings. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-69883-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-69883-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-69882-3
Online ISBN: 978-3-319-69883-0
eBook Packages: EnergyEnergy (R0)