IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v237y2021ics0360544221018843.html
   My bibliography  Save this article

Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain

Author

Listed:
  • Bienvenido-Huertas, David
  • Sánchez-García, Daniel
  • Rubio-Bellido, Carlos
  • Pulido-Arcas, Jesús A.

Abstract

Fuel poverty is a pressing issue in several European countries, and Spain is no exception. Traditionally, it has been associated with cold conditions, but recent studies in the field have stressed its prevalence in warm countries too, during summer. Further, forecasts of climate change for these territories predict more severe summers. This envisages a scenario where low-income families might suffer from fuel poverty due to their inability to afford the energy bill to cool their homes, for tackling which the European Union and its member states are devising strategies. Adaptive comfort models have emerged as a sustainable and resilient approach in this regard. This study aims at clarifying how a change in the behavioural patterns of users, following the adaptive model might reduce the incidence of fuel poverty, compared to the static model based solely on active cooling. For this purpose, a common typology of social dwelling has been simulated in 10 cities representative of the diverse climates of Spain; both the current and future climate change scenarios have been considered. Results indicate that the mixed-mode is effective in alleviating fuel poverty not only in the present scenario, but also in 2050 and 2100, except for the most underprivileged households earning less than 500 € per month. The outcomes of this study will be of use to policy makers, designers, and stakeholders in targeting families in need for specific subsidies to afford a comfortable environment during summer.

Suggested Citation

  • Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2021. "Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain," Energy, Elsevier, vol. 237(C).
  • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018843
    DOI: 10.1016/j.energy.2021.121636
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221018843
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.121636?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Judit Mendoza Aguilar & Francisco J. Ramos-Real & Alfredo J. Ramírez-Díaz, 2019. "Improving Indicators for Comparing Energy Poverty in the Canary Islands and Spain," Energies, MDPI, vol. 12(11), pages 1-15, June.
    2. Mourshed, Monjur, 2011. "The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh," Applied Energy, Elsevier, vol. 88(11), pages 3737-3746.
    3. Healy, John D. & Clinch, J. Peter, 2004. "Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland," Energy Policy, Elsevier, vol. 32(2), pages 207-220, January.
    4. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    5. Heracleous, Chryso & Michael, Aimilios, 2018. "Assessment of overheating risk and the impact of natural ventilation in educational buildings of Southern Europe under current and future climatic conditions," Energy, Elsevier, vol. 165(PB), pages 1228-1239.
    6. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    7. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    8. Yu, Jia & Kang, Yanming & Li, He & Zhong, Ke & Zhai, Zhiqiang (John), 2020. "Influence of ventilation-behavior during off-periods on energy-consumption for an intermittently heated room of dormitory buildings," Energy, Elsevier, vol. 197(C).
    9. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    10. Hiyama, Kyosuke & Glicksman, Leon, 2015. "Preliminary design method for naturally ventilated buildings using target air change rate and natural ventilation potential maps in the United States," Energy, Elsevier, vol. 89(C), pages 655-666.
    11. Daniel Sánchez-García & David Bienvenido-Huertas & Mónica Tristancho-Carvajal & Carlos Rubio-Bellido, 2019. "Adaptive Comfort Control Implemented Model (ACCIM) for Energy Consumption Predictions in Dwellings under Current and Future Climate Conditions: A Case Study Located in Spain," Energies, MDPI, vol. 12(8), pages 1-22, April.
    12. Han, Yongming & Liu, Shuang & Geng, Zhiqiang & Gu, Hengchang & Qu, Yixin, 2021. "Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model," Energy, Elsevier, vol. 218(C).
    13. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos, 2020. "Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones," Applied Energy, Elsevier, vol. 279(C).
    14. Vilches, Alberto & Barrios Padura, Ángela & Molina Huelva, Marta, 2017. "Retrofitting of homes for people in fuel poverty: Approach based on household thermal comfort," Energy Policy, Elsevier, vol. 100(C), pages 283-291.
    15. David Bienvenido-Huertas, 2020. "Analysis of the Impact of the Use Profile of HVAC Systems Established by the Spanish Standard to Assess Residential Building Energy Performance," Sustainability, MDPI, vol. 12(17), pages 1-19, September.
    16. Eguía Oller, Pablo & Alonso Rodríguez, José María & Saavedra González, Ángeles & Arce Fariña, Elena & Granada Álvarez, Enrique, 2018. "Improving the calibration of building simulation with interpolated weather datasets," Renewable Energy, Elsevier, vol. 122(C), pages 608-618.
    17. Ortiz, J. & Casquero-Modrego, N. & Salom, J., 2019. "Health and related economic effects of residential energy retrofitting in Spain," Energy Policy, Elsevier, vol. 130(C), pages 375-388.
    18. David Bienvenido-Huertas, 2020. "Analysis of the Relationship of the Improvement of Façades and Thermal Bridges of Spanish Building Stock with the Mitigation of Its Energy and Environmental Impact," Energies, MDPI, vol. 13(17), pages 1-20, September.
    19. Pérez-Fargallo, Alexis & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A. & Javier Guevara-García, Fco., 2018. "Fuel Poverty Potential Risk Index in the context of climate change in Chile," Energy Policy, Elsevier, vol. 113(C), pages 157-170.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pourkhanali, Armin & Kholghi, Donya & Llorca, Manuel & Jamasb, Tooraj, 2023. "Persistent and Transient Energy Poverty: A Multi-Level Analysis in Spain," Working Papers 9-2023, Copenhagen Business School, Department of Economics.
    2. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Marín-García, David, 2024. "Holistic analysis to reduce energy poverty in social dwellings in southern Spain considering envelope, systems, operational pattern, and income levels," Energy, Elsevier, vol. 288(C).
    3. Hearn, Adam X., 2022. "Positive energy district stakeholder perceptions and measures for energy vulnerability mitigation," Applied Energy, Elsevier, vol. 322(C).
    4. López-Pérez, Luis Adrián & Flores-Prieto, José Jassón, 2023. "Adaptive thermal comfort approach to save energy in tropical climate educational building by artificial intelligence," Energy, Elsevier, vol. 263(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos, 2020. "Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones," Applied Energy, Elsevier, vol. 279(C).
    2. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Marín-García, David, 2024. "Holistic analysis to reduce energy poverty in social dwellings in southern Spain considering envelope, systems, operational pattern, and income levels," Energy, Elsevier, vol. 288(C).
    3. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    4. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    5. Bienvenido-Huertas, David, 2021. "Do unemployment benefits and economic aids to pay electricity bills remove the energy poverty risk of Spanish family units during lockdown? A study of COVID-19-induced lockdown," Energy Policy, Elsevier, vol. 150(C).
    6. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    7. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    8. Munyanyi, Musharavati Ephraim & Mintah, Kwabena & Baako, Kingsley Tetteh, 2021. "Energy-related deprivation and housing tenure transitions," Energy Economics, Elsevier, vol. 98(C).
    9. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    10. Chen, Yujiao & Tong, Zheming & Wu, Wentao & Samuelson, Holly & Malkawi, Ali & Norford, Leslie, 2019. "Achieving natural ventilation potential in practice: Control schemes and levels of automation," Applied Energy, Elsevier, vol. 235(C), pages 1141-1152.
    11. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    12. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    13. Keyu Chen & Chao Feng, 2022. "Linking Housing Conditions and Energy Poverty: From a Perspective of Household Energy Self-Restriction," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    14. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    15. Bagnoli, Lisa & Bertoméu-Sánchez, Salvador, 2022. "How effective has the electricity social rate been in reducing energy poverty in Spain?," Energy Economics, Elsevier, vol. 106(C).
    16. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
    17. Pino-Mejías, Rafael & Pérez-Fargallo, Alexis & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2018. "Artificial neural networks and linear regression prediction models for social housing allocation: Fuel Poverty Potential Risk Index," Energy, Elsevier, vol. 164(C), pages 627-641.
    18. David Bienvenido-Huertas & Jesús A. Pulido-Arcas & Carlos Rubio-Bellido & Alexis Pérez-Fargallo, 2021. "Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings," Sustainability, MDPI, vol. 13(5), pages 1-30, February.
    19. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    20. Barbara Kryk & Malgorzata K. Guzowska, 2023. "Assessing the Level of Energy Poverty Using a Synthetic Multidimensional Energy Poverty Index in EU Countries," Energies, MDPI, vol. 16(3), pages 1-31, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018843. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.