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PhD Architect. Researcher of the Building Construction II Department at Universidad de Sevilla, Spain. Active member of the Research Group TEP970: Technological Innovation, 3d Modelling Systems, and Energy Diagnosis in Heritage and Building at the Universidad de Sevilla. His area of expertise covers climate change, artificial intelligence, and sustainability. He is an author of more than 30 manuscripts and a frequent reviewer of international peer-reviewed journals.
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.
David Bienvenido-Huertas; Daniel Sánchez-García; Carlos Rubio-Bellido; Jesús A. Pulido-Arcas. Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain. Energy 2021, 237, 121636 .
AMA StyleDavid Bienvenido-Huertas, Daniel Sánchez-García, Carlos Rubio-Bellido, Jesús A. Pulido-Arcas. Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain. Energy. 2021; 237 ():121636.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Daniel Sánchez-García; Carlos Rubio-Bellido; Jesús A. Pulido-Arcas. 2021. "Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain." Energy 237, no. : 121636.
The reduction of fuel poverty is among the major challenges of countries, policymakers, stakeholders, and researchers. Many contributions have today emerged; however, two aspects should be widely considered. On the one hand, the use of strategies based on the reduction of energy consumption through the adaptive approach, and on the other hand, the impact of climate change on fuel poverty, particularly considering the recent representative concentration pathways (RCP). This paper addresses both issues in Andalusia, which is among the regions with the highest population ratio under poverty risk. For this purpose, 4 zones with possibilities of applying adaptive strategies were distinguished in the Andalusian geography, and 3 climate change scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) were projected in each decade (from 2030 to 2100). A total of 6,528 cases of representative social housing, simulated in all scenarios, were parametrically studied. All data were assessed from the point of view of fuel poverty risk. The results showed that the adaptive strategies influence the reduction of fuel poverty, both in annual and monthly values. Moreover, the increase in fuel poverty cases because of global warming could be reduced by this approach in the four zones detected in Andalusia.
David Bienvenido-Huertas; Daniel Sánchez-García; Carlos Rubio-Bellido; David Marín-García. Potential of applying adaptive strategies in buildings to reduce the severity of fuel poverty according to the climate zone and climate change: The case of Andalusia. Sustainable Cities and Society 2021, 73, 103088 .
AMA StyleDavid Bienvenido-Huertas, Daniel Sánchez-García, Carlos Rubio-Bellido, David Marín-García. Potential of applying adaptive strategies in buildings to reduce the severity of fuel poverty according to the climate zone and climate change: The case of Andalusia. Sustainable Cities and Society. 2021; 73 ():103088.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Daniel Sánchez-García; Carlos Rubio-Bellido; David Marín-García. 2021. "Potential of applying adaptive strategies in buildings to reduce the severity of fuel poverty according to the climate zone and climate change: The case of Andalusia." Sustainable Cities and Society 73, no. : 103088.
The Spanish Building Technical Code (CTE) sets that all new and restored buildings meeting its requirements have nearly zero energy consumption. This code is based on establishing limit values according to the climate zone. However, previous studies have shown both the existence of energy inequalities among regions and the limitations related to the direct application of these criteria. This work analyses the climate classification included in the CTE and presents a new climate classification methodology based on k-means. For this purpose, the region of Andalusia was chosen, and 8 case studies located in the 779 cities of the region were analysed. The analysis was performed in both the current scenario and future scenarios throughout the 21st century. The results showed the limitations related to the climate classification included in the CTE, greatly coinciding among the various zones and with high interquartile ranges in the energy demand distributions of each zone. By using the climate classification obtained with k-means, the new zones are independent of each other, with low interquartile ranges.
David Bienvenido-Huertas; David Marín-García; Manuel J. Carretero-Ayuso; Carlos E. Rodríguez-Jiménez. Climate classification for new and restored buildings in Andalusia: analysing the current regulation and a new approach based on k-means. Journal of Building Engineering 2021, 43, 102829 .
AMA StyleDavid Bienvenido-Huertas, David Marín-García, Manuel J. Carretero-Ayuso, Carlos E. Rodríguez-Jiménez. Climate classification for new and restored buildings in Andalusia: analysing the current regulation and a new approach based on k-means. Journal of Building Engineering. 2021; 43 ():102829.
Chicago/Turabian StyleDavid Bienvenido-Huertas; David Marín-García; Manuel J. Carretero-Ayuso; Carlos E. Rodríguez-Jiménez. 2021. "Climate classification for new and restored buildings in Andalusia: analysing the current regulation and a new approach based on k-means." Journal of Building Engineering 43, no. : 102829.
The Algarve region, located in the south of Portugal, is a well-known tourism destination that seeks to be sustainable and competitive. The local administration looks to establish a collaborative network, where stakeholders take a crucial role. The research aims to appeal to the accommodations and food services stakeholders to have a shared vision of the issues and priorities related to sustainable tourism development. Their perception is a critical factor in making decisions regarding the region’s competitiveness. Algarve’s two major and leading associations of the tourism supply sector AIHSA and AHETA were invited to participate in the study. Based on the responses of an online questionnaire, an artificial intelligence algorithm was applied to the data to identify the common and divergent aspects. The conceptual model developed is based on a simplified model of psychological ownership. The results highlight a convergent perspective regarding sustainability challenges, namely, natural resources and biodiversity, safety, and supply chain. However, hotels and restaurants do not reflect the same perception regarding sustainability initiatives, e-tourism, or free internet access. These divergences are essential results since they indicated which issues require local authorities’ priority intervention.
Fátima Farinha; David Bienvenido-Huertas; Manuel Duarte Pinheiro; Elisa Silva; Rui Lança; Miguel José Oliveira; Ricardo Batista. Sustainable Competitiveness of Tourism in the Algarve Region. Critical Stakeholders’ Perception of the Supply Sector. Sustainability 2021, 13, 6072 .
AMA StyleFátima Farinha, David Bienvenido-Huertas, Manuel Duarte Pinheiro, Elisa Silva, Rui Lança, Miguel José Oliveira, Ricardo Batista. Sustainable Competitiveness of Tourism in the Algarve Region. Critical Stakeholders’ Perception of the Supply Sector. Sustainability. 2021; 13 (11):6072.
Chicago/Turabian StyleFátima Farinha; David Bienvenido-Huertas; Manuel Duarte Pinheiro; Elisa Silva; Rui Lança; Miguel José Oliveira; Ricardo Batista. 2021. "Sustainable Competitiveness of Tourism in the Algarve Region. Critical Stakeholders’ Perception of the Supply Sector." Sustainability 13, no. 11: 6072.
Heritage preservation presents uncertainties in the global warming context. Both predicting the performance of environmental variables within the built environment and assessing the preservation conditions of heritage elements are today something of a challenge. Based on current monitorings, this study uses artificial intelligence to predict environmental performance in future scenarios. In addition, heritage elements are assessed according to threshold preservation values. The Chapel of the University of Seville was chosen as case study, applying both the threshold values from UNI 10829 and the performance index (PI) to assess the indoor environmental conditions. A total of 9 environmental treatment zones were identified according to temperature and humidity. To estimate the variables, the multilayer perceptron (MLP) was monitored and applied considering the time series of A2 future scenarios in each decade of the 21st century. The current MLP performances were analysed, thus showing a progressive reduction of the PI inside the church: at the end of the century, PI values oscillated between 6.6 and 6.8% in wooden objects, and between 1.8 and 2.3% in paintings. The results also showed a progressive increase in the number of hours and distance with respect to the optimal preservation values in the zones with a greater temperature and relative humidity, with cooling and dehumidification being the most effective strategies. This study represents a progress towards the most appropriate heritage preservation strategies by using an extrapolated methodology considering the climate change effect.
David Bienvenido-Huertas; Miguel León-Muñoz; Juan Jesús Martín-Del-Río; Carlos Rubio-Bellido. Analysis of climate change impact on the preservation of heritage elements in historic buildings with a deficient indoor microclimate in warm regions. Building and Environment 2021, 200, 107959 .
AMA StyleDavid Bienvenido-Huertas, Miguel León-Muñoz, Juan Jesús Martín-Del-Río, Carlos Rubio-Bellido. Analysis of climate change impact on the preservation of heritage elements in historic buildings with a deficient indoor microclimate in warm regions. Building and Environment. 2021; 200 ():107959.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Miguel León-Muñoz; Juan Jesús Martín-Del-Río; Carlos Rubio-Bellido. 2021. "Analysis of climate change impact on the preservation of heritage elements in historic buildings with a deficient indoor microclimate in warm regions." Building and Environment 200, no. : 107959.
Building energy performance should be improved to reduce the impact of climate change. The energy saving potential has been recently proved with adaptive setpoint temperatures. However, the accuracy of thermostats hinders the achievement of the energy saving obtained in previous studies. For this reason, this paper studies the influence of three types of thermostats according to their configuration accuracy: 0.1, 0.5, and 1 °C. Two case studies (with and without retrofitting) were analysed in three cities in the current scenario, in 2050, and in 2100. The results showed that the implementation of adaptive setpoint temperatures in thermostats of 0.1 °C virtually obtains the same savings as the direct application of thermal comfort limits. Nevertheless, obtaining considerable energy savings in the other two thermostats depends on the type of energy consumption, climate, and the category of the thermal comfort model. The application of adaptive setpoint temperatures in air conditioning systems obtains energy savings greater than 40%, regardless of the type of thermostat and category, whereas in heating systems, only the category III obtains energy savings with old thermostats.
David Bienvenido-Huertas. Influence of the type of thermostat on the energy saving obtained with adaptive setpoint temperatures: Analysis in the current and future scenario. Energy and Buildings 2021, 244, 111024 .
AMA StyleDavid Bienvenido-Huertas. Influence of the type of thermostat on the energy saving obtained with adaptive setpoint temperatures: Analysis in the current and future scenario. Energy and Buildings. 2021; 244 ():111024.
Chicago/Turabian StyleDavid Bienvenido-Huertas. 2021. "Influence of the type of thermostat on the energy saving obtained with adaptive setpoint temperatures: Analysis in the current and future scenario." Energy and Buildings 244, no. : 111024.
The use of natural ventilation achieves considerable energy consumption savings and reduces overheating risk in summer; however, it is less effective in regions where heating energy is more demanding. In this sense, the use of adaptive thermal comfort models is an opportunity to use natural ventilation optimally coupled with air conditioning systems when necessary. In this chapter, the use of variable setpoint temperatures has been analyzed, for static and adaptive patterns. Results show energy savings using two approaches with low economic investment and without comprising users’ thermal comfort. This chapter also analyzes the barriers and opportunities to improve energy performance in extant buildings. Results set that the potential of the application of the adaptive strategies on the Earth’s surface is high although it depends on the climatic conditions. Moreover, the applicability could be modified by global warming, considering future climate scenarios, but it still maintains significant energy savings. For that reason, architects and engineers are crucial to identify and apply the most appropriate adaptive measures in specific cases.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings. Discrete Optimization in Architecture 2021, 35 -50.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings. Discrete Optimization in Architecture. 2021; ():35-50.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings." Discrete Optimization in Architecture , no. : 35-50.
Thermal comfort has been widely studied from the middle of the twentieth century to the present. From Fanger’s model based on the neutral thermal state and the development of the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indexes to the adaptive approach based on buildings that operate with natural ventilation, several studies set detailed conditions with strengths and limitations. In this chapter, a review from the international to the specific comfort models is established. In this sense, ASHRAE 55-2017 and EN 16798-1:2019 are the two most used models; both are based on international research projects with large databases. The two models present similarities in terms of applicability, however, some differences are analyzed (e.g., categories considered). In an intermediary state, various countries like the Netherlands (ISSO 74) and China (GB/T50785) have developed specific adaptive thermal comfort models, which present sensible differences with the international standards. Moreover, local studies are carried out in Australia, Chile, India, and Romania, regarding specific building types (e.g., social dwellings in Chile) or for certain climate conditions. To sum up, many research studies at different levels of resolution have presented the potential of adaptive thermal comfort models, to better understand the users’ adaptability.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Adaptive Thermal Comfort Models for Buildings. Discrete Optimization in Architecture 2021, 13 -33.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Adaptive Thermal Comfort Models for Buildings. Discrete Optimization in Architecture. 2021; ():13-33.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Adaptive Thermal Comfort Models for Buildings." Discrete Optimization in Architecture , no. : 13-33.
Strategies based on adaptive thermal comfort models have great potential for application in most parts of the world. This means that these strategies are appropriate bioclimatic measures for buildings and constitute a tool for architects and engineers. However, it is necessary to know quantitatively the energy savings expected with this type of strategy. For this reason, this chapter analyzes the energy savings obtained in two buildings. The analysis was carried out in different climatic zones in Spain and using an adaptive strategy based on the three categories of EN 16798-1:2019. The results show the total energy savings obtained with the adaptive strategies: Category I ranged from 6.8 to 30.4%, Category II ranged from 23 to 56.3%, and Category III from 35.8 to 74.6%. Furthermore, the use of these strategies is adequate to reduce the payback periods of other energy conservation measures (e.g., the increase in thermal resistance of the facade), with reductions of up to 42 years in Category I, 64 years in Category II, and 73 years in Category III.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Energy Savings Obtained with an Adaptive Approach with Respect to Building Envelope Improvement. Discrete Optimization in Architecture 2021, 51 -67.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Energy Savings Obtained with an Adaptive Approach with Respect to Building Envelope Improvement. Discrete Optimization in Architecture. 2021; ():51-67.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Energy Savings Obtained with an Adaptive Approach with Respect to Building Envelope Improvement." Discrete Optimization in Architecture , no. : 51-67.
Adaptive thermal comfort strategies allow to achieve significant savings in the energy consumption of a building. This represents great potential for buildings since it allows to guarantee thermal comfort and reduce energy consumption without the need for economic investments. However, decision-making can make it difficult to implement the most appropriate strategy. For this reason, this chapter analyzes the single criteria and multi-criteria process to determine the most appropriate strategy. For this, fuzzy logic is used. With the fuzzy logic, two expert systems were designed: one for rehabilitation works (affected by the improvement achieved and the investment price) and another for new buildings. These models analyzed four case studies. The results obtained have shown that the systems designed with fuzzy logic have an adequate success rate with respect to the expected decision. Therefore, they constitute an adequate methodology for decision-making with respect to the thermal comfort model. In addition, architects and engineers can make modifications to the structure of the systems to adapt them to different regions.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Decision-Making in Applying Adaptive Approaches in Indoor Spaces. Discrete Optimization in Architecture 2021, 69 -75.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Decision-Making in Applying Adaptive Approaches in Indoor Spaces. Discrete Optimization in Architecture. 2021; ():69-75.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Decision-Making in Applying Adaptive Approaches in Indoor Spaces." Discrete Optimization in Architecture , no. : 69-75.
Architects and engineers play a key role in the transformation of the building sector toward energy efficiency and climate change mitigation. Buildings are responsible for 40% of the total energy consumption and 11.9% of the CO2 emission. In this sense, various international agreements are focused to decarbonize buildings, and the concept of nearly Zero-Energy Buildings (nZEB) as well as the implementation of Energy Performance Certificates (EPCs) have been designed. For that reason, building energy efficiency projects could be a driving force to achieve a low-carbon building stock and Energy Poverty (EP) mitigation. This chapter considers energy improvements and comfortable indoor spaces, in which the most appropriate operational guidelines and the users’ training measures are crucial. With this approach, adaptive thermal comfort models could be an opportunity to guarantee sustainable use of Heating, Ventilating, and Air Conditioning (HVAC) systems without affecting users’ thermal comfort. This paves the way for significant reductions in energy consumption with a more responsible use of HVAC systems considering the adaptive thermal comfort models.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Building Energy Efficiency and Sustainability. Discrete Optimization in Architecture 2021, 1 -11.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Building Energy Efficiency and Sustainability. Discrete Optimization in Architecture. 2021; ():1-11.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Building Energy Efficiency and Sustainability." Discrete Optimization in Architecture , no. : 1-11.
In recent times, studies about the accuracy of algorithms to predict different aspects of energy use in the building sector have flourished, being energy poverty one of the issues that has received considerable critical attention. Previous studies in this field have characterized it using different indicators, but they have failed to develop instruments to predict the risk of low-income households falling into energy poverty. This research explores the way in which six regression algorithms can accurately forecast the risk of energy poverty by means of the fuel poverty potential risk index. Using data from the national survey of socioeconomic conditions of Chilean households and generating data for different typologies of social dwellings (e.g., form ratio or roof surface area), this study simulated 38,880 cases and compared the accuracy of six algorithms. Multilayer perceptron, M5P and support vector regression delivered the best accuracy, with correlation coefficients over 99.5%. In terms of computing time, M5P outperforms the rest. Although these results suggest that energy poverty can be accurately predicted using simulated data, it remains necessary to test the algorithms against real data. These results can be useful in devising policies to tackle energy poverty in advance.
David Bienvenido-Huertas; Jesús Pulido-Arcas; Carlos Rubio-Bellido; Alexis Pérez-Fargallo. Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings. Sustainability 2021, 13, 2426 .
AMA StyleDavid Bienvenido-Huertas, Jesús Pulido-Arcas, Carlos Rubio-Bellido, Alexis Pérez-Fargallo. Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings. Sustainability. 2021; 13 (5):2426.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Jesús 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 13, no. 5: 2426.
Buildings are part of an energy-intensive industry responsible for a remarkable amount of the greenhouse emissions, therefore the European Union has launched in the last years an ambitious strategy to decarbonize buildings. Nevertheless, transnational policies based on technological upgrade might not be always effective, as in the case of Europe, Northern and Southern countries face very different socioeconomic situations; conversely, policies seeking new ways of doing can be applied to overcome this technological gap. This research explores the applicability of two standards for thermal comfort, namely, ASHRAE 55–2017 and EN 16798–1:2019, to devise strategies aimed at reducing the energy consumption for heating and cooling in the European building sector, specifically focusing on the Mediterranean area. The climate of 32,564 locations has been analysed to assess the potential of applicability of these two standards, as well as natural ventilation and adaptive setpoint temperatures to reduce the energy demand of buildings. As a consequence, these standards may build a valid theoretical foundation for a European policy aimed at improving the energy efficiency in the building sector, which should be implemented on a regional scale, and on a climate-basis.
David Bienvenido-Huertas; Jesús A. Pulido-Arcas; Carlos Rubio-Bellido; Alexis Pérez-Fargallo. Feasibility of adaptive thermal comfort for energy savings in cooling and heating: A study on Europe and the Mediterranean basin. Urban Climate 2021, 36, 100807 .
AMA StyleDavid Bienvenido-Huertas, Jesús A. Pulido-Arcas, Carlos Rubio-Bellido, Alexis Pérez-Fargallo. Feasibility of adaptive thermal comfort for energy savings in cooling and heating: A study on Europe and the Mediterranean basin. Urban Climate. 2021; 36 ():100807.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Jesús A. Pulido-Arcas; Carlos Rubio-Bellido; Alexis Pérez-Fargallo. 2021. "Feasibility of adaptive thermal comfort for energy savings in cooling and heating: A study on Europe and the Mediterranean basin." Urban Climate 36, no. : 100807.
The envelope is the skin that covers buildings and protects them from weather and outdoor actions. Consequently, this envelope is prone to have many deficiencies. This paper analyses 2030 cases that correspond to current Spanish buildings, from which the pathology combinations are categorised. In other words, each case studied is associated and quantified with the type of existing damage, the construction unit in which the damage occurred, and its original cause, thus showing the most recurrent and dominant combination and the construction typology where pathology combinations took place. A total of 10 groups of pathology combinations were determined in the horizontal envelope, and 34 groups in the vertical envelope. The results could be useful for technicians to have a very significant view of the most troubled points of envelopes, so preventive measures can be adopted when writing the project (design phase) and performing construction works. In this manner, damages would be reduced in the building envelope, as well as use costs, and habitability conditions would be improved, thus contributing to the most sustainable behaviour of the building process.
Manuel J. Carretero-Ayuso; C.E. Rodríguez-Jiménez; David Bienvenido-Huertas; Juan J. Moyano. Interrelations between the types of damages and their original causes in the envelope of buildings. Journal of Building Engineering 2021, 39, 102235 .
AMA StyleManuel J. Carretero-Ayuso, C.E. Rodríguez-Jiménez, David Bienvenido-Huertas, Juan J. Moyano. Interrelations between the types of damages and their original causes in the envelope of buildings. Journal of Building Engineering. 2021; 39 ():102235.
Chicago/Turabian StyleManuel J. Carretero-Ayuso; C.E. Rodríguez-Jiménez; David Bienvenido-Huertas; Juan J. Moyano. 2021. "Interrelations between the types of damages and their original causes in the envelope of buildings." Journal of Building Engineering 39, no. : 102235.
The COVID-19 pandemic has triggered serious economic crises in many countries. In Spain, millions of individuals have been ordered to remain at home and many are unemployed. The increased use of electrical appliances and low incomes make energy poverty highly likely. This study thus analyses the effectiveness of unemployment benefits and social measures to help Spanish family units pay their electricity bill during the COVID-19-induced lockdown in Spain (March–May 2020) and during a hypothetical lockdown in winter and summer. The results showed that the unemployment aids can contribute to alleviating energy poverty, especially if the unemployed individual worked in a poorly-paying job or for just a few hours. However, the social measures were found insufficient to avoid energy poverty. The application of a variable discount percentage in the electricity bill based on income and the month of the year would reduce energy poverty risk during further incidences of lockdown.
David Bienvenido-Huertas. 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 2021, 150, 112117 .
AMA StyleDavid Bienvenido-Huertas. 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. 2021; 150 ():112117.
Chicago/Turabian StyleDavid Bienvenido-Huertas. 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 150, no. : 112117.
This book is about the optimization of the characterization of the thermal properties of building envelopes, through experimental tests and the use of artificial intelligence. It analyses periodic and stationary thermal properties using measurement approaches based on the heat flow meter method and the thermometric method. These measurements are then analysed using advanced artificial intelligence algorithms.The book is structured in four parts, beginning with a discussion of the importance of thermal properties in the energy performance of buildings. Secondly, theoretical and experimental methods for characterizing thermal properties are analysed. Then, the methodology is developed, and the characteristics and properties of the algorithms used are explored. Finally, the results obtained with the algorithms are analysed and the most appropriate approaches are determined.This book is of interest to researchers, civil and industrial engineers, energy auditors and architects, by providing a resource which improves energy audit tasks in existing buildings.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Optimization of the Characterization of the Thermal Properties of the Building Envelope. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 1 .
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Optimization of the Characterization of the Thermal Properties of the Building Envelope. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():1.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Optimization of the Characterization of the Thermal Properties of the Building Envelope." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 1.
This book is structured in four parts: First, it analyzes the sustainability objectives established for the building stock and the importance of thermal comfort in this aspect. Second, the existing adaptive thermal comfort models and the main energy-saving measures associated with these models are analyzed. Third, the energy savings obtained with these measures are analyzed in several case studies, comparing the results obtained with other energy conservation measures, such as the improvement of the façade. The analysis is carried out from an energy and economic perspective. Finally, a decision‐making process based on fuzzy logic is established. As an expected result, the content of the book contributes to assist architects in designing more efficient buildings from the perspective of user behavior.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Adaptive Thermal Comfort of Indoor Environment for Residential Buildings. Discrete Optimization in Architecture 2021, 1 .
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Adaptive Thermal Comfort of Indoor Environment for Residential Buildings. Discrete Optimization in Architecture. 2021; ():1.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Adaptive Thermal Comfort of Indoor Environment for Residential Buildings." Discrete Optimization in Architecture , no. : 1.
Historic buildings are a fundamental part of the tangible cultural heritage of today’s society. However, the energy saving requirements to limit climate change may present limitations with respect to the characteristics of these buildings. In the case of historical buildings from the early 20th century to the present, the bioclimatic design principles applied by architects may have been limited. In some cases, it may be due to project modifications or urban expansion. In this study, these two aspects are analyzed in a case of a historic building located in Seville: The Duclós House by José Luis Sert. This building presents modifications in the roof between the projected and the built one. Likewise, the urban environment is different from the one existing when it was built. The analysis was carried out with energy simulations using weather data from 2000 to 2019. The results show the influence that the modifications of the projected roof and the urban expansion had on the energy performance of the building with respect to the original idea of the building.
David Bienvenido-Huertas; Isidro Cortés. Influencia en el rendimiento energético en edificios históricos provocado por el entorno urbano y las modificaciones de proyecto: el caso de la Casa Duclós. Revista Hábitat Sustentable 2020, 10, 42 -53.
AMA StyleDavid Bienvenido-Huertas, Isidro Cortés. Influencia en el rendimiento energético en edificios históricos provocado por el entorno urbano y las modificaciones de proyecto: el caso de la Casa Duclós. Revista Hábitat Sustentable. 2020; 10 (2):42-53.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Isidro Cortés. 2020. "Influencia en el rendimiento energético en edificios históricos provocado por el entorno urbano y las modificaciones de proyecto: el caso de la Casa Duclós." Revista Hábitat Sustentable 10, no. 2: 42-53.
The digitisation of architectural heritage has experienced a great development of low-cost and high-definition data capture technologies, thus enabling the accurate and effective modelling of complex heritage assets. Accordingly, research has identified the best methods to survey historic buildings, but the suitability of Structure-from-Motion/Multi-view-Stereo (SfM/MVS) for interior square symmetrical architectural spaces is unexplored. In contrast to the traditional SfM surveying for which the camera surrounds the object, the photograph collection approach is divergent in courtyards. This paper evaluates the accuracy of SfM point clouds against Terrestrial Laser Scanning (TLS) for these large architectural spaces with a symmetrical configuration, with the main courtyard of Casa de Pilatos in Seville, Spain, as a case study. Two different SfM surveys were conducted: (1) Without control points, and (2) referenced using a total station. The first survey yielded unacceptable results: A standard deviation of 0.0576 m was achieved in the northwest sector of the case study, mainly because of the difficulty of aligning the SfM and TLS data due to the way they are produced. This value could be admissible depending on the purpose of the photogrammetric model.
Juan Moyano; Juan E. Nieto-Julián; Daniel Antón; Elena Cabrera; David Bienvenido-Huertas; Nazareth Sánchez. Suitability Study of Structure-from-Motion for the Digitisation of Architectural (Heritage) Spaces to Apply Divergent Photograph Collection. Symmetry 2020, 12, 1981 .
AMA StyleJuan Moyano, Juan E. Nieto-Julián, Daniel Antón, Elena Cabrera, David Bienvenido-Huertas, Nazareth Sánchez. Suitability Study of Structure-from-Motion for the Digitisation of Architectural (Heritage) Spaces to Apply Divergent Photograph Collection. Symmetry. 2020; 12 (12):1981.
Chicago/Turabian StyleJuan Moyano; Juan E. Nieto-Julián; Daniel Antón; Elena Cabrera; David Bienvenido-Huertas; Nazareth Sánchez. 2020. "Suitability Study of Structure-from-Motion for the Digitisation of Architectural (Heritage) Spaces to Apply Divergent Photograph Collection." Symmetry 12, no. 12: 1981.
This chapter aims to develop a mathematical model through MLP and RF to estimate the periodic thermal properties of ISO 13786 through in situ measured variables.
David Bienvenido-Huertas; Carlos Rubio-Bellido. Estimating Periodic Thermal Properties with Artificial Intelligence. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 55 -66.
AMA StyleDavid Bienvenido-Huertas, Carlos Rubio-Bellido. Estimating Periodic Thermal Properties with Artificial Intelligence. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():55-66.
Chicago/Turabian StyleDavid Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "Estimating Periodic Thermal Properties with Artificial Intelligence." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 55-66.