Under-Consumption Penalties in the Low Carbon Market: Reflections From a Spanish Social Housing Provider

Introduction

The issue of environmental sustainability and low carbon regulations are becoming increasingly relevant on the European agenda. The European Commission (2020) has proposed to cut net greenhouse gas emissions in the EU by a minimum of 55% by 2030 compared to 1990. Through the Affordable Housing Initiative, the European Commission (2020) will give support to local social housing projects, including measures to protect social housing tenants against energy poverty (European Parliament, 2013).

For social housing, the good news is that they have more opportunities to implement energy efficiency (EE) measures (Walker, 2008), and therefore homes occupied by social renters tend to be more energy efficient than the general housing stock (Barnes and McKnight, 2014). Regarding energy districts, communities with district heating deal better with energy poverty by creating heat markets which enable fuel flexibility (Hathway, 2010).

Nevertheless, there is also less positive news; low income is overrepresented in social housing (Teli et al., 2016). In Spain, the consumption profile of tenants results in a lower usage of electricity and heating than an average household (Aranda et al., 2017). Jenkins et al. (2011) analyzed energy consumption in terms of carbon intensity in UK, resulting in lowest deciles of income consuming significantly less. When households are not spending enough to achieve a certain standard of energy services, Rademaekers et al. (2016) state that under-consumption occurs and, low-income householders often live under colder living conditions (Moore, 2012). Besides, due to the large deposit required in Positive Energy Districts, this represents a greater negative effect on those in social housing (Hearn et al., 2021).

In the literature of energy performance gap (Wilde, 2014), there is also space for these two situations frequently observed in social housing; the implementation of EE measures and low-income energy consumers. For such cases, Sunikka Blank and Galvin (2012) introduced the “prebound” effect; the situation before a retrofit, and indicates how much less energy is consumed than expected. However, they found that the energy intensity after retrofit of houses of low-income households is closer to one.

This also has implications for reducing CO₂ emissions from the social housing sector. Due to the “prebound” effect, Teli et al. (2016) showed the problem of achieving the anticipated carbon savings. As a result, compared to the able-to-pay, a greater EE improvement with higher costs is required in order to achieve the same carbon reduction (Rosenow et al., 2013). Moreover, Boardman (2013) emphasizes that low-carbon policies increase the energy bills when emissions are internalized, and the effect is disproportionately higher for marginalized groups.

This paper builds on earlier work for the social housing provider Alokabide. Hernández et al. (2019) performed an energy audit for the building stock of Alokabide stating its good energy performance and a lower-than-expected energy consumption by the tenants. Using a different methodology, Antepara et al. (2020) confirmed the observed energy under-consumption. Both studies draw a scenario similar to that described by Teli et al. (2016), the fuel poverty-induced “prebound effect.”

Taking a step forward, the focus will be put on the accounting and selling of the carbon emissions of three different case studies of Alokabide. The methodology for the calculation of CO₂ emissions is taken from the Carbon Fund for a Sustainable Economy (FES-CO₂), managed by the Spanish Government. The article also includes a discussion of the results and some implications for policymakers, highlighting the key findings that show the negative outcomes of the carbon market when low-income households are involved.

Research Method

Spanish social housing is considered to be a targeted model, which means that social landlords aim to satisfy only the excess of housing demand not satisfied by the market. Allocation is made according to a set of vulnerability indicators (European Parliament, 2013), particularly income, i.e., targeted and residual model. As a consequence, low income is overrepresented. While the contract with the tenants sets out the rent to be paid for the dwelling, other energy-related payments cannot be included.

In order to study the viability of improvements that seek decarbonization, the case of Alokabide—the Basque public company for public rental—is herein analyzed. After the energy audit performed for the building stock of Alokabide, Hernández et al. (2019) concluded that the tenants are under-consuming heating, i.e., the pre-bound effect described by Sunikka Blank and Galvin (2012), but not domestic hot water (DHW).

The estimation of emission reductions is based on data taken from the information submitted to the FES-CO₂ as a “Proyecto Clima” (Ministerio para la Transición Ecológica y el Reto Demográfico, 2019). Created by Law 2/2011 of Sustainable Economy, provides financial support to projects that reduce emissions in Spain by purchasing CO₂ emissions reductions. Alokabide can only afford 1–2 investments per year, i.e., an insufficient annual renovation rate of around 1%, and this is an opportunity to scale up these interventions. Two types of EE measures were taken into consideration: the production of DHW with solar heating, and the retrofitting of a whole building. Photovoltaic (PV) systems are not eligible in this program. The project was approved in January 2021. FES-CO₂ will complete the corresponding payment once the emission reductions are verified.

First, the situation ex-ante will be described, i.e., the information and calculations included in the “Proyecto Clima,” and then, based on the energy profile of the tenants at Alokabide, the expected ex-post situation—used to claim the money corresponding to the verified emissions to FES-CO₂–will be anticipated.

Fossil Fuels Substitution by Solar Thermal Energy

The two solar installations for the production of DHW submitted to the FES-CO₂ are described:

1) ZABALGANA 92. The first case analyzed is the replacement of the solar thermal panels in a building whose construction was prior to the Spanish Technical Code of Buildings (Código técnico de edificación, CTE) of 2006, and therefore does not have to comply with the minimum solar contribution of 30% of the DHW that is mandatory for projects after 2006. The multi-occupancy building comprises 92 dwellings in Vitoria-Gasteiz (Spain). Being one of the first solar thermal installations in the area, the installer failed to fix the systems correctly. Consequently, up to the time of replacement, the heating and DHW needs were covered only by the natural gas (NG) boiler. The solar panels were replaced by vacuum tubes.

2) ARRASATE 140. The second case analyzed is the replacement of the solar thermal panels in a building constructed after the CTE of 2006, which therefore had to comply with a minimum solar contribution of the 30% of the DHW. Consequently, only the computation of emissions reduction of the DHW produced exceeding this percentage is allowed. The multi-occupancy building comprises 140 dwellings in Arrasate-Mondragon (Spain). Although the solar installation was relatively new, it never worked as projected due to lack of maintenance.

Within the methodologies proposed by FES-CO₂ for the residential, commercial and institutional sector, the case of the substitution of fossil fuels by solar thermal energy corresponds to the “Methodology for thermal energy projects aimed at reducing fossil fuel consumption in a new or existing installation.” In general, the relationship used for the calculation of emissions is Equation 1:

$\begin{array}{l}{RE}_a={EEB}_a-{EP}_a\end{array}$

where RE_a is Emission reduction in year “a,” EEB_a is Emissions associated with the baseline scenario in year “a,” and EP_a is Project associated emissions in year “a.” The “baseline scenario,” or reference scenario, depicts the state which exists prior to the implementation of the project activity. The “project scenario” depicts the future state that will exist once the project is running.

In order to calculate the emissions, the following two scenarios are defined for both projects:

• Baseline scenario; the average amount of NG used to produce the needed DHW, in cubic meters, is accessible for the social landlord for the cases analyzed, as well as the efficiency of the system.

• Project scenario; the fraction of fossil fuels substituted by solar thermal energy is also known, as well as the new efficiency of the system, as it can be calculated from the energy study carried out before the tendering of the works.

Initially, DHW needs were produced by boilers running on fossil fuels and they are partially satisfied by renewables after substitution of the solar systems. The physical-chemical constants used to calculate the emissions reduction between the reference and the project scenarios are shown in Table 1.

TABLE 1

Table 1. Data for NG used in the methodology.

Renovation of a Building

The third project analyzed is linked to an integral building renovation (including the physical accessibility), located in San Sebastian (Spain). It is a small multi-occupancy building, of only 13 dwellings, built at the beginning of the twentieth century. The structure of the building is made of wood, with four floors and no elevator, and with a store on the first floor. In spite of not being a building of great constructive or patrimonial value, it is of interest at a conceptual and historical level. A rehabilitation was previously carried out in 1979. The initial plan of demolishing the building was abandoned, but the main part of the dwellings have been empty for a long time. Being such an old building, the renovation up to Nearly Zero-Energy Buildings was unfeasible, although the final energy demand is expected to drop to a level closer to zero emissions. The project includes the placement of insulation on the facades, the replacement of the individual boilers running on NG by a heat pump providing centralized heating, a new ventilation system with heat recovery, and the installation of renewable energies (a small PV installation). The new elevator installed is regenerative, sharing batteries with the solar panels. Since the renovation works started in 2020, it was not possible to include this integral renovation in the “Proyecto Clima” submitted in 2019.

Here, the case of the energy refurbishment of a building pertains to the “Methodology for Energy Efficiency projects aimed at reducing fossil fuel consumption in a building” proposed by FES-CO₂. The general equation to apply is the same as in the previous case, Equation 1.

The two scenarios considered to calculate the emissions are the following:

• Baseline scenario; the flow rate of NG consumed is unknown, as many of the dwellings are unoccupied. But the energy needs are taken from the energy study included in the renovation project, including both heating and DHW.

• Project scenario; the new energy needs can be calculated, and the efficiency of the heat pump is known. The new PV system is excluded.

The input data in this case is taken from the energy performance certificates, including the total living area. The physical-chemical constants used are the same—Table 1.

Results

This section is divided into two sub-sections; the first one concerns the calculations of foreseen emissions reduction ex-ante, whereas the second one corresponds to the prospective verification by a third party.

Calculations Ex-ante

As explained above, this is the information sent to the FES-CO₂ for approval.

Fossil Fuels Substitution by Solar Thermal Energy

ZABALGANA 92. In the baseline scenario, the energy needs are fully satisfied by a boiler running on NG. The average NG flow rate from 2016 to 2018 consumed by the boiler is 113.164,60 m³, and using the values in Table 1, this is 4142,75 GJ or 244,2 t CO₂e. The portion spent on DHW is unknown because there is no specific meter for this aim. However, it can be theoretically calculated according to the CTE for multi-occupancy buildings (Ministerio de Vivienda, 2017), if a quantity of 28 liters at a temperature of 60°C is considered for each tenant per day. The occupancy can be obtained from the CTE; 1,5 person in dwellings with one bedroom, 3 people with two bedrooms, and 4 with three bedrooms. In ZABALGANA 92, 2 of the dwellings have one room, 27 have two rooms, and the rest have three rooms, summing a total occupancy of 336 people. In the end, a total energy linked to DHW of 154.375 kWh. As there is no under-consumption for DHW (Astrain et al., 2019), this is an acceptable estimation of the actual DHW consumption.

In the project scenario, a total of 36 vacuum tubes are placed vertically in the roof, each of them with an equivalent area of 1,51 m²–a total area of 54,36 m²–. The technical characteristic of these solar collectors are; an optical performance of 0,752, a linear loss coefficient of 1,906 W/(m²·K), and a quadratic loss coefficient of 0,004 W/(m²·K). The average solar irradiation in Vitoria-Gasteiz in kWh/m² is taken from the “Atlas de radiación solar en España” (Atlas of Solar Radiation in Spain) (Ávila et al., 2012). Due to the fact that it is a multi-occupancy building, a centralization factor of 0,75 has to be included (Ministerio de Vivienda, 2017). As a result, the solar thermal collectors provide 150,4 GJ (41.350 kWh), which is the 28,4% of the calculated DHW, and the 3,63% of the NG consumed by the boiler in the baseline scenario. Hence the total emission reduction due to NG substitution is 9 t CO₂e.

The initial investment, the cost of the solar system installed, is € 57,250.00 w/o VAT. The abatement cost, the ratio between the investment and the emissions reduction, is € 57.250,00 w/ VAT/9 t CO₂e.

Additionally, every year the following expenses must be added:

• The solar installation consumes 1,000 kWh of electricity. Its price is € 0,16 per kWh, so, € 160,

• Maintenance costs are € 1,104 —€ 1 per month per person—.

The main annual savings for the return on investment are fuel savings (41.350 kWh/year), which is around € 2.067,5 per year—the price of the energy being € 0,05 per kWh—.

For this investment, it is possible to calculate the Net present value (NPV) and the Internal rate of return on investment (IRR), shown in Table 2. No corrections for inflation are included, it is supposed that in the EU region inflation is stable and the effects between expenses and revenues are compensated. The calculations are performed for a period of 20 years, the useful life of the solar vacuum tubes, initially without the money obtained after selling the emissions to FES- CO₂.

TABLE 2

Table 2. NPV and IRR for the installation of the solar thermal system in ZABALGANA 92.

After submitting this “Proyecto Clima” to the FES-CO₂, the social landlord can obtain an income. The price of CO₂ emissions in 2019 was € 9.7/t CO₂e, so that 9 t CO₂e accounted for € 87. But, the emissions have to be verified, and the report adds around € 100 to the expenditures. As the report can include all the installations, only half of the cost is charged to ZABALGANA 92, i.e., € 50. In Table 2, the calculations are repeated with the income obtained from the FES-CO₂.

Since 2019 the price of carbon emissions rose dramatically, up to around € 50 / t CO₂e in May 2021. The IRR for that case is −0,077792. Even with these high CO₂ prices, the investment is not returned.

ARRASATE 140. Concerning the second installation, the baseline scenario is calculated taking into account the gas bills of 2018. The final flow rate of NG consumed by the boiler is 78.370,00 m³, which equals to 2868.98 GJ (169,12 t CO₂e). The theoretical needs for DHW were calculated as in ZABALGANA 92. In ARRASATE 140, 14 of the dwellings have one room, 90 have two rooms, and 36 have three rooms. In the end, this makes a final occupancy of 435 people and a total energy linked to DHW of 145.506 kWh.

In the project scenario, a total of 42 solar collectors are placed in the roof, each of them with a total area of 2,51 m²–the total area of all of the collectors totaling 105,42 m², an optical performance of 0,821, and a linear loss coefficient of 4,854 W/(m²·K). The average solar irradiation in Arrasate in kWh/m² is known (Ávila et al., 2012), and the same centralization factor is used. So, the solar thermal system provides 221,2 GJ (60.819 kWh), which is the 39,4% of the calculated DHW. Only the emissions exceeding the compulsory 30% for solar heating production can be counted, as the project was approved after the new building regulation of 2006: this is 58,8 GJ (14.510 kWh), the 2,05% of the NG consumed by the boiler in the baseline scenario. Hence the total emission reduction due to NG substitution is 3,5 t CO₂e.

The initial investment of this system is € 38.884,00 w/o VAT, so that the abatement cost is € 38.884 w/ VAT / 3,5 t CO₂e. The initial investment is annually increased by the electricity consumed by the solar installation, i.e. 1,000 kWh—€ 160—, and the maintenance costs, this is € 1,700 applying the same quantity as in ZABALGANA 92.

As in the previous case, the main annual saving for the return on investment is fuel savings—the total produced by the solar system, 60.819 kWh/year—, equal to a total amount of € 3,041 per year—same NG price.

Starting with the analysis without taking into account the revenues from the FES CO₂, and assuming that the lifetime of the solar installation is 25 years, the calculations for the NPV and IRR are shown in Table 3.

TABLE 3

Table 3. NPV and IRR for the installation of the solar thermal system in ARRASATE 140.

The sale of emissions is calculated with the same price of CO₂, i.e., 3,5 t CO₂e at € 9.7 / t CO₂e, which is around € 34. The remaining € 50 due to the verification of emissions report has to be included.

Considering the high CO₂ prices in 2021, the IRR is −0,02279, i.e., the investment is not returned in this case either.

Renovation of a Building

In the baseline scenario, the calculated energy demand is 279.3 kWh/m²yr, including heating and DHW, which correspond with a label F for energy consumption—E for carbon emissions, 54.2 kg CO₂/m²yr—. The living area of all the floors of the building is 774 m². Taking the same price for the NG, this results in a total amount of € 10,805. The DHW needs, calculated as in the previous cases, is 21369,5 kWh/yr. So, the heating represents the 89%, 194.735 kWh/yr. Regarding the emissions, a total amount of 42 t CO₂e; 37,3 t CO₂e for heating and 4,6 t CO₂e for DHW.

In the project scenario, the energy demand is 41,8 kWh/m²yr, so, the energy label is B. The DHW demand is maintained, while the demand for heating is lowered down to 10,996,7 kWh (14,21 kWh/m²yr). The emissions are further reduced thanks to a heat pump, i.e., using electricity instead of NG. The coefficient of performance (COP) of the heat pump is 4,3, which means that the needed primary energy is 7,527,02 kWh/yr. The electricity expenses are € 840—electricity price is € 0,16 per kWh—. In order to calculate the emissions for electricity, the coefficient equals to 0,399 kg CO₂/kWh (Hue CO₂ | Huella de carbono de la construcción de obras públicas, 2020). The final emissions account for 3 t CO₂e, so that 38,8 t CO₂e can be sold to FES-CO₂ every year.

For the economic viability study, the new elevator and the PV system are not taken into account. The cost of new facades is € 329.740,83, the cost of the heat pump is € 48.400,00 and its lifetime is 25 years, and the cost of the new ventilation is € 110.742,95. Additionally, maintenance costs are € 1,560. The IRR without taking into account the selling of the emissions is −0,0523084, as shown in Table 4.

TABLE 4

Table 4. NPV and IRR for the installation of the solar thermal system in ITURRITXO.

When the income from the selling of emissions is taken into account, € 376 minus € 33 of the verification report, the IRR is −0,0499868.

In the previous calculations, the baseline scenario does not take into account the under-consumption. As most of the dwellings were not occupied, it is not possible to have a record of actual energy expenses for all the tenants, and the actual under-consumption cannot be calculated. So, the assumption for under-consumption of NG for heating is made based on a study performed with tenants in other buildings (Astrain et al., 2019), which gave a reduction of 30% of the heating in buildings with individual boilers compared to the theoretical energy performance of the building. As a consequence, the initial emissions would be 30,7 t CO₂e. The assumption for the results after retrofit is that the energy consumed for heating is the average of a consumer without income problems −3 t CO₂e do not change. So, the total emissions to be sold are 27,7 t CO₂e —€ 269. Obviously, the IRR in this case is worse, −0,0507074, and also at high CO₂ prices in 2021.

Expected Results of the Ex-post Verification

The emissions reductions must be verified by a third independent party, so, the accounting of emissions is only possible with actual energy consumption after the renovation works are finished.

In the verification after the substitution of fossil fuels by solar thermal energy to produce DHW, as there is no under-consumption for DHW, the emissions ex-post are expected to be average. Ex-ante results are maintained: NPV and IRR are only slightly improved thanks to the selling of the emissions.

In the renovation project of a building, the verification should confirm that energy consumption dedicated to heating in the baseline scenario is lower, and average in the project scenario (Sunikka Blank and Galvin, 2012). So, after renovation works are finished, the verified emissions reduction should be those calculated taking into account under-consumption before renovation −27,7 t CO₂e—, which would be disadvantageous for the rehabilitation of buildings where low-income tenants live. However, as it is not possible to verify the actual energy consumption before retrofit, the under-consumption cannot be confirmed in this case study.

Discussion

The main contribution made to addressing gaps in existing knowledge of low carbon regulations is that, when low-income households are involved, before renovation CO₂ emissions are lower and therefore those projects are taking less advantage of the carbon market. Moreover, targets for CO₂ reduction after retrofitting may not be achieved (Teli et al., 2016).

The problem of under-consumption has no effect on the first two cases studied, as the solar systems produce only DHW, and the theoretical estimation of DHW and the actual consumptions are comparable. In none of the first two cases the initial investment is recovered, even in the case of taking into account the increasing price of carbon since 2019 (€ 25/t CO₂e in 2020, and € 50/t CO₂e in May 2021). In the third case analyzed, the under-consumption reduces the energy consumed for heating in the baseline scenario by a 30%, so that the benefit of low income from the emissions market is less. The economic viability is also not achieved, even after receiving the amounts corresponding to the emission reductions paid for the “Programa Clima.” When FES-CO₂ asks for verification of emissions and these are calculated, additional issues may arise.

The subsequent policy recommendation, the ex-ante accounting of CO₂ emissions should be justified on the basis of theoretical results with average consumers, rather than verifying before retrofit emissions. In France, a specific subtype within the EE obligations is dedicated to low energy rated buildings housing low income families, regardless of the final verified carbon reductions. If low income households live in performant housing, e.g., recently renovated buildings, their energy bills will continue to be low, but they will be able to keep their homes at a comfortable temperature (Hong et al., 2009). These benefits—indoor air quality and thermal comfort, health, and also employment—should be taken into consideration (Ugarte et al., 2016).

On the key implications for positive energy districts, according to the FES-CO₂ methodology in Spain, district heating running on biomass is allowed to account for zero emissions. But it was not until very recently when the first building managed by Alokabide was renovated and connected to a new centralized heating system running on biomass at a district level. On the contrary, PV at a district level—i.e., solar energy communities, which are easier to implement, are excluded. So, this also reduces the potential for emission reductions.

Another conclusion is that, taking into account the low energy consumption of social tenants, decarbonization in the social housing sector is easier to achieve than the reduction of the energy consumed. CO₂ emissions reductions can be achieved if a part (or the whole) of the primary energy provided by fossil fuels is substituted by renewable energies. In the third case analyzed, this is achieved thanks to heat pumps (Owen et al., 2013).

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Author Contributions

The author confirms being the sole contributor of this work and has approved it for publication.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The author would like to thank Alokabide for access to the data. The author would like to thank Unai Castro for the proof-reading of the first draft, and Arabako Campuseko Hizkuntza Laborategia (Language Laboratory at the campus of Alava) for the proofreading of the reviewed version. The author would like to thank the editor and the reviewers for their comments that helped to improve the manuscript.

References

Antepara, I., Papada, L., Gouveia, J. P., Katsoulakos, N., and Kaliampakos, D. (2020). Improving energy poverty measurement in Southern European regions through equivalization of modeled energy costs. Sustainability 12, 1–21. doi: 10.3390/su12145721

CrossRef Full Text | Google Scholar

Aranda, J., Zabalza, I., Conserva, A., and Millán, G. (2017). Analysis of energy efficiency measures and retrofitting solutions for social housing buildings in spain as a way to mitigate energy poverty. Sustainability 9:1869. doi: 10.3390/su9101869

CrossRef Full Text | Google Scholar

Astrain, P., Orbea, C., Sagasti, G., Antepara, I., Hidalgo Betanzos, J., and Hernandez, P. (2019). Plan Zero plana: alta eficiencia en alquiler público. in (Madrid). Available online at: https://www.construible.es/comunicaciones/comunicacion-plan-zero-plana-alta-eficiencia-alquiler-publico.

Ávila, J. M. S., Martín, J. R., Alonso, C., Cos, M., del, C. S., de, Cadalso, J. M., and Bartolom,é, M. L. (2012). Atlas de radiación solar en España utilizando datos del SAF de clima de EUMETSAT. in (Biblioteca AEMET). Available online at: https://www.aemet.es/documentos/es/serviciosclimaticos/datosclimatologicos/atlas_radiacion_solar/atlas_de_radiacion_24042012.pdf.

Google Scholar

Barnes, M., and McKnight, A. (2014). Understanding the Behaviours of Households in Fuel Poverty: A Review of Research Evidence. Available online at: http://openaccess.city.ac.uk/id/eprint/14443.

Google Scholar

Boardman, B. (2013). Fixing Fuel Poverty: Challenges and Solutions. New York, NY: Routledge.

Google Scholar

European Commission (2020). Communication From the Commission to the European Parliament, The Council, The European Economic and Social Committee and The Committee of the Regions A Renovation Wave for Europe—greening our buildings, creating jobs, improving lives COM/2020/662 final. Available online at: https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0662andfrom=EN (accessed October 23, 2020).

Google Scholar

European Parliament (2013). European Parliament Resolution of 11 June 2013 on Social Housing in the European Union (2012/2293(INI)). Official Journal of the European Union. Available online at: https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52013IP0246andfrom=EN (accessed October 24, 2020).

Hathway, K. (2010). Community Power Empowers. Urban Forum Available online at: https://www.wcmt.org.uk/sites/default/files/migrated-reports/687_1.pdf

Hearn, A. X., Sohre, A., and Burger, P. (2021). Innovative but unjust? analysing the opportunities and justice issues within positive energy districts in Europe. Energy Res. Soc. Sci. 78:102127. doi: 10.1016/j.erss.2021.102127

CrossRef Full Text | Google Scholar

Hernández, P., Hidalgo Betanzos, J., García, C., Fernández, J., and Flores, I. (2019). A comparison between predicted and measured energy use in social housing. in (Vitoria-Gasteiz (Spain)). Available at: https://web-argitalpena.adm.ehu.es/listaproductos.asp?IdProducts=UCPDF190860&titulo=Transition.%2010th%20European%20Conference%20on%20Energy%20Efficiency%20and%20Sustainability%20in%20Architecture%20and%20Planning%20%96%203rd%20International%20Congress%20on%20Advanced%20Construction#

Hong, S. H., Gilbertson, J., Oreszczyn, T., Green, G., and Ridley, I. (2009). A field study of thermal comfort in low-income dwellings in England before and after energy efficient refurbishment. Build. Environ. 44, 1228–1236. doi: 10.1016/j.buildenv.2008.09.003

CrossRef Full Text | Google Scholar

Hue CO2 | Huella de carbono de la construcción de obras públicas (2020). Available online at: http://hueco2.tecniberia.es/ (accessed November 29, 2020).

Google Scholar

Jenkins, D., Middlemiss, L., and Pharoah, R. (2011). A Study of Fuel Poverty and Low-Carbon Synergies in Social Housing. UKERC Available online at: http://eprints.whiterose.ac.uk/79391/.

Google Scholar

Ministerio de Vivienda (2017). Código Técnico de la Edificación. Documento Básico HE. Ahorro de energía. Available online at: https://www.codigotecnico.org/images/stories/pdf/ahorroEnergia/DBHE.pdf.

Ministerio para la Transición Ecológica y el Reto Demográfico (2019). Metodologías para la estimación de la Reducción de Emisiones de los Proyectos Clima (calculo ex—ante). Available online at: https://www.miteco.gob.es/es/cambio-climatico/temas/fondo-carbono/metodologias.aspx (accessed October 24, 2020).

Moore, R. (2012). Definitions of fuel poverty: Implications for policy. Energy Policy 49, 19–26. doi: 10.1016/j.enpol.2012.01.057

CrossRef Full Text | Google Scholar

Owen, A., Mitchell, G., and Unsworth, R. (2013). Reducing carbon, tackling fuel poverty: adoption and performance of air-source heat pumps in East Yorkshire, UK. Local Environ. 18, 817–833. doi: 10.1080/13549839.2012.732050

CrossRef Full Text | Google Scholar

Rademaekers, K., Yearwood, J., Ferreira, A., Pye, S., Hamilton, I., Agnolucci, P., et al. (2016). Selecting Indicators to Measure Energy Poverty. Available online at: https://ec.europa.eu/energy/sites/ener/files/documents/Selecting%20Indicators%20to%20Measure%20Energy%20Poverty.pdf

Rosenow, J., Platt, R., and Flanagan, B. (2013). Fuel poverty and energy efficiency obligations—A critical assessment of the supplier obligation in the UK. Energy Policy 62, 1194–1203. doi: 10.1016/j.enpol.2013.07.103

CrossRef Full Text | Google Scholar

Sunikka Blank, M., and Galvin, R. (2012). Introducing the prebound effect: the gap between performance and actual energy consumption. Build. Res. Inform. 40, 260–273. doi: 10.1080/09613218.2012.690952

CrossRef Full Text | Google Scholar

Teli, D., Dimitriou, T., James, P. A. B., Bahaj, A. S., Ellison, L., and Waggott, A. (2016). Fuel poverty-induced ‘prebound effect' in achieving the anticipated carbon savings from social housing retrofit. Build. Serv. Eng. Res. Technol.37, 176–193. doi: 10.1177/0143624415621028

CrossRef Full Text | Google Scholar

Ugarte, S., van der, R. E. E., B Voogt, M., Eichhammer, W., Ordoñez, J. A., et al. (2016). Energy Efficiency for Low-Income Households. Policy Department A: Economic and Scientific Policy, European Parliament. Available online at: http://www.europarl.europa.eu/thinktank/en/document.html?reference=IPOL_STU(2016)595339.

Google Scholar

Walker, G. (2008). Decentralised systems and fuel poverty: are there any links or risks? Energy Policy 36, 4514–4517. doi: 10.1016/j.enpol.2008.09.020

CrossRef Full Text | Google Scholar

Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: a framework for investigation. Autom. Constr. 41, 40–49. doi: 10.1016/j.autcon.2014.02.009

CrossRef Full Text | Google Scholar