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Dr. Carlos Rubio-Bellido
Department of Building Construction II, University of Seville, Sevilla, Spain

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0 Buildings
0 Climate Change
0 Thermal Comfort
0 energy consumption
0 Nearly zero energy buildings

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Journal article
Published: 30 July 2021 in Energy
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

David 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.

Journal article
Published: 14 July 2021 in Sustainability
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Energy poverty is a social problem that is accentuated in a climate change future scenario where families become increasingly vulnerable. This problem has been studied in cold weather, but it also takes place in warm climates such as those of Mediterranean countries, and it has not been widely targeted. In these countries, approximately 70% of its building stock was built during 1960–1980, its renovation being an opportunity to reduce its energy demand, improve tenants’ quality of life, and make it more resilient to climate change. In the retrofitting process, it is also important to consider tenants’ adaptability and regional scenarios. In this sense, the present work proposes an assessment model of retrofitting projects that takes into consideration energy consumption, comfort, tenants’ health, and monetary poverty. For this, the Index of Vulnerable Homes was implemented in this research to consider adaptive comfort in the energy calculation as well as the adaptability to climate change. A case study of 40 social housings in Seville, Spain, was analyzed in 2050 and 2080 future scenarios, defining the impact in energy poverty of the building retrofitting projects.

ACS Style

Mª Alba-Rodríguez; Carlos Rubio-Bellido; Mónica Tristancho-Carvajal; Raúl Castaño-Rosa; Madelyn Marrero. Present and Future Energy Poverty, a Holistic Approach: A Case Study in Seville, Spain. Sustainability 2021, 13, 7866 .

AMA Style

Mª Alba-Rodríguez, Carlos Rubio-Bellido, Mónica Tristancho-Carvajal, Raúl Castaño-Rosa, Madelyn Marrero. Present and Future Energy Poverty, a Holistic Approach: A Case Study in Seville, Spain. Sustainability. 2021; 13 (14):7866.

Chicago/Turabian Style

Mª Alba-Rodríguez; Carlos Rubio-Bellido; Mónica Tristancho-Carvajal; Raúl Castaño-Rosa; Madelyn Marrero. 2021. "Present and Future Energy Poverty, a Holistic Approach: A Case Study in Seville, Spain." Sustainability 13, no. 14: 7866.

Journal article
Published: 25 May 2021 in Sustainable Cities and Society
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Over time, whether through traditional knowledge or the constructive implementation, the relationship of the built environment with the climate conditions of a certain place has been developed. The control of these symbiotic solutions based on the climate-conscious design and their strategic approach have been improved to keep better welfare levels. Due to climate change, however, design strategies could be modified in a context of global warming. This research considers the Representative Concentration Pathways (RCP 2.6, 4.5 and RCP 8.5) to analyse the effectiveness of the design strategies throughout the 21 st century. A total of 6 countries (France, Portugal, Spain, Argentina, Brazil, and Chile) were selected to assess both thermal comfort levels and the need for using HVAC systems in each climate zone and in all future scenarios, so 1,450 cases were studied. The results showed that the less conservative climate change scenarios will affect thermal comfort, thus significantly reducing comfort hours in warm climates. In addition, passive design strategies could be less effective in the future, predominating the use of cooling systems. As a result of this research, future design strategies should be dynamic and permeable for possible scenarios.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido; David Marín-García; Jacinto Canivell. Influence of the Representative Concentration Pathways (RCP) scenarios on the bioclimatic design strategies of the built environment. Sustainable Cities and Society 2021, 72, 103042 .

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido, David Marín-García, Jacinto Canivell. Influence of the Representative Concentration Pathways (RCP) scenarios on the bioclimatic design strategies of the built environment. Sustainable Cities and Society. 2021; 72 ():103042.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido; David Marín-García; Jacinto Canivell. 2021. "Influence of the Representative Concentration Pathways (RCP) scenarios on the bioclimatic design strategies of the built environment." Sustainable Cities and Society 72, no. : 103042.

Chapter
Published: 01 April 2021 in Discrete Optimization in Architecture
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

David 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.

Chapter
Published: 01 April 2021 in Discrete Optimization in Architecture
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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.

ACS Style

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 Style

David 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 Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Application of Adaptive Thermal Comfort Models for Energy Saving in Buildings." Discrete Optimization in Architecture , no. : 35-50.

Chapter
Published: 01 April 2021 in Discrete Optimization in Architecture
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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.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Adaptive Thermal Comfort Models for Buildings. Discrete Optimization in Architecture 2021, 13 -33.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Adaptive Thermal Comfort Models for Buildings. Discrete Optimization in Architecture. 2021; ():13-33.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Adaptive Thermal Comfort Models for Buildings." Discrete Optimization in Architecture , no. : 13-33.

Chapter
Published: 01 April 2021 in Discrete Optimization in Architecture
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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.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Building Energy Efficiency and Sustainability. Discrete Optimization in Architecture 2021, 1 -11.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Building Energy Efficiency and Sustainability. Discrete Optimization in Architecture. 2021; ():1-11.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Building Energy Efficiency and Sustainability." Discrete Optimization in Architecture , no. : 1-11.

Chapter
Published: 01 April 2021 in Discrete Optimization in Architecture
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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.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Decision-Making in Applying Adaptive Approaches in Indoor Spaces. Discrete Optimization in Architecture 2021, 69 -75.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Decision-Making in Applying Adaptive Approaches in Indoor Spaces. Discrete Optimization in Architecture. 2021; ():69-75.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Decision-Making in Applying Adaptive Approaches in Indoor Spaces." Discrete Optimization in Architecture , no. : 69-75.

Journal article
Published: 24 February 2021 in Sustainability
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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.

ACS Style

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 Style

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 (5):2426.

Chicago/Turabian Style

David 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.

Book
Published: 01 January 2021 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

David 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.

Book
Published: 01 January 2021 in Discrete Optimization in Architecture
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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.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Adaptive Thermal Comfort of Indoor Environment for Residential Buildings. Discrete Optimization in Architecture 2021, 1 .

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Adaptive Thermal Comfort of Indoor Environment for Residential Buildings. Discrete Optimization in Architecture. 2021; ():1.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2021. "Adaptive Thermal Comfort of Indoor Environment for Residential Buildings." Discrete Optimization in Architecture , no. : 1.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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From ancient times, human beings have taken advantage of natural resources as much as possible for their own benefit, although that advantage is limited in order to guarantee the environment sustainability.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. The Influence of the Envelope Thermal Properties on Building Energy Performance. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 1 -12.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. The Influence of the Envelope Thermal Properties on Building Energy Performance. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():1-12.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "The Influence of the Envelope Thermal Properties on Building Energy Performance." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 1-12.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

David 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.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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The analysis of the state-of-the-art methods to characterize thermal properties has shown the importance of the theoretical methods (both of stationary and periodic properties) and the difficulty to characterize the existing buildings correctly.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Methodological Framework of Artificial Intelligence Algorithms and Generation of the Dataset. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 31 -45.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Methodological Framework of Artificial Intelligence Algorithms and Generation of the Dataset. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():31-45.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "Methodological Framework of Artificial Intelligence Algorithms and Generation of the Dataset." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 31-45.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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The thermal properties of the building envelope are crucial in building energy performance. The variation of envelope thermal values (e.g. through the regulation of a country) directly influences building energy performance.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Methods to Assess the Thermal Properties of the Building Envelope. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 13 -30.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Methods to Assess the Thermal Properties of the Building Envelope. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():13-30.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "Methods to Assess the Thermal Properties of the Building Envelope." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 13-30.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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This chapter aims to develop mathematical models based on MLP and RF that optimize the experimental methods to characterize the thermal transmittance. In particular, the models developed address the possibility of eliminating the error related to the theoretical formulation of THM.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 67 -72.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():67-72.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 67-72.

Chapter
Published: 21 November 2020 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (\({U}_{6946}\)) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used.

ACS Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. Estimation of Stationary Thermal Properties with Artificial Intelligence. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2020, 47 -54.

AMA Style

David Bienvenido-Huertas, Carlos Rubio-Bellido. Estimation of Stationary Thermal Properties with Artificial Intelligence. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2020; ():47-54.

Chicago/Turabian Style

David Bienvenido-Huertas; Carlos Rubio-Bellido. 2020. "Estimation of Stationary Thermal Properties with Artificial Intelligence." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 47-54.

Journal article
Published: 31 October 2020 in Energies
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Including recycled waste material in cement mixes, as substitutes for natural aggregates, has resulted in diverse research projects, normally focused on mechanical capacities. In the case of recycled glass as an aggregate, this provides a noticeable improvement in thermal properties, depending on its dosage. This idea raises possible construction solutions that reduce the environmental impact and improves thermal behavior. For this research, an extended building typology that is susceptible to experiencing the risk of energy poverty has been chosen. The typology is typical for social housing, built using mortar blocks with crushed glass. First, the basic thermophysical properties of the mortars were determined by laboratory tests; after that, the dynamic thermal properties of representative constructive solutions using these mortars were simulated in seven representative climate zones in Chile. An analysis methodology based on periodic thermal transmittance, adaptive comfort levels and energy demand was run for the 21 proposed models. In addition, the results show that thermal comfort hours increases significantly in thermal zones 1, 2, 3 and 6; from 23 h up to 199 h during a year. It is in these zones where the distance with respect to the neutral temperature of the m50 solution reduces that of the m25 solution by half; i.e., in zone 1, from −429 °C with the m25 solution to −864 °C with the m50. This research intends to be a starting point to generate an analysis methodology for construction solutions in the built environment, from the point of view of thermal comfort.

ACS Style

Vicente Flores-Alés; Alexis Pérez-Fargallo; Jesús Pulido Arcas; Carlos Rubio-Bellido. Effect on the Thermal Properties of Mortar Blocks by Using Recycled Glass and Its Application for Social Dwellings. Energies 2020, 13, 5702 .

AMA Style

Vicente Flores-Alés, Alexis Pérez-Fargallo, Jesús Pulido Arcas, Carlos Rubio-Bellido. Effect on the Thermal Properties of Mortar Blocks by Using Recycled Glass and Its Application for Social Dwellings. Energies. 2020; 13 (21):5702.

Chicago/Turabian Style

Vicente Flores-Alés; Alexis Pérez-Fargallo; Jesús Pulido Arcas; Carlos Rubio-Bellido. 2020. "Effect on the Thermal Properties of Mortar Blocks by Using Recycled Glass and Its Application for Social Dwellings." Energies 13, no. 21: 5702.

Conference paper
Published: 30 October 2020 in Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment
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The aim of this study is to map an overview of the education, research and innovation on energy efficiency focused on the rehabilitation of the built environment. The research is organized as follows:

ACS Style

Carlos Rubio-Bellido; Francisco Javier Guevara-García. Collecting and Reviewing Written Resources that Map the Knowledge Triangle for Transferring Research and Innovation on Sustainable Rehabilitation of the Built Environment in Continuing Education. Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment 2020, 377 -392.

AMA Style

Carlos Rubio-Bellido, Francisco Javier Guevara-García. Collecting and Reviewing Written Resources that Map the Knowledge Triangle for Transferring Research and Innovation on Sustainable Rehabilitation of the Built Environment in Continuing Education. Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment. 2020; ():377-392.

Chicago/Turabian Style

Carlos Rubio-Bellido; Francisco Javier Guevara-García. 2020. "Collecting and Reviewing Written Resources that Map the Knowledge Triangle for Transferring Research and Innovation on Sustainable Rehabilitation of the Built Environment in Continuing Education." Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment , no. : 377-392.

Conference paper
Published: 30 October 2020 in Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment
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Currently, the building stock is energy inefficient. Consequently, the residential sector is one of the main sources emitting Greenhouse Gases, mainly due to the poor thermal performance of envelopes. Thermal bridges are among those envelope elements where heat losses or gains take place. A previous study highlighted the importance of controlling the linear thermal transmittance in junctions, such as slab fronts. However, there is a lack of studies analysing the thermal bridges of pillars and their effect on the energy demand of buildings located in warm climate zones. This study therefore analyses how the linear thermal transmittance of pillars affects the building energy demand. For this purpose, a case study located in Seville was analysed in 3 different climatic scenarios (current, 2050, and 2100). The case study was simulated with 3 different designs of junctions between pillars and walls. The linear thermal transmittance was determined using a two-dimensional simulation, and the energy demand was determined using EnergyPlus. The results of this study confirm the importance of controlling the thermal bridges of pillars and their impact on the energy demand.

ACS Style

David Bienvenido-Huertas; María Victoria Montes; Carlos Rubio-Bellido; Jacinto Canivell. The Effect of Thermal Bridge Junctions Between Pillars and Walls in the Energy Demand of Buildings in Warm Climate. Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment 2020, 437 -448.

AMA Style

David Bienvenido-Huertas, María Victoria Montes, Carlos Rubio-Bellido, Jacinto Canivell. The Effect of Thermal Bridge Junctions Between Pillars and Walls in the Energy Demand of Buildings in Warm Climate. Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment. 2020; ():437-448.

Chicago/Turabian Style

David Bienvenido-Huertas; María Victoria Montes; Carlos Rubio-Bellido; Jacinto Canivell. 2020. "The Effect of Thermal Bridge Junctions Between Pillars and Walls in the Energy Demand of Buildings in Warm Climate." Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment , no. : 437-448.