Experimental comparative study of the thermal performance of the façade of a building refurbished using ETICS, and quantification of improvements

Luján, Sheila Varela; Arrebola, Carmen Viñas; Sánchez, Antonio Rodríguez; Benito, Patricia Aguilera; Cortina, Mariano González

doi:10.1016/j.scs.2019.101713

Cited by 40 publications

(19 citation statements)

References 20 publications

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“…In the renovation of the residential building stock, one of the most effective methods to reduce both the heating and cooling energy demands is to increase the thermal insulation of the opaque elements of the thermal envelope [6][7][8]. The greater the insulation thickness, the lower the heat losses for heating and the heat gains for cooling through the thermal envelope but the greater the required investment, assuming that the required investment not associated with the insulation material would be similar for different Table 1.…”

Section: Introductionmentioning

confidence: 99%

Energy Renovation of Residential Buildings in Hot and Temperate Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

et al. 2021

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One of the greatest challenges facing the European Union is the conversion of the existing residential building stock into nearly zero-energy buildings (NZEBs) by 2050 through energy renovation, given that the residential sector is one of the largest consumers of final energy and that approximately two-thirds of existing dwellings were built before 1980. The objective of this study is to assess the energy, environmental, and economic impacts of the energy renovation of thermal envelopes of existing multi-family buildings in the hot and temperate climate zones of Spain by using life cycle cost analysis (LCCA) to determine the optimal thicknesses of insulation to be added to the walls, roof, and first floor framework of the buildings and replacing existing building openings to achieve NZEBs. Four thermal insulation materials are considered with four different heating and cooling systems and ten different models. With the methodology developed, the best energy renovation solutions are estimated and then thermally simulated. In total, 67 of the 576 proposed energy renovation solutions achieve NZEBs. This study fills in the gap between LCCA estimates and reality.

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Section: Introductionmentioning

confidence: 99%

Energy Renovation of Residential Buildings in Hot and Temperate Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

et al. 2021

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“…The most effective method for the energy refurbishment of the residential building stock is to increase the thermal insulation of the opaque elements of the thermal envelope; this increased insulation achieved average energy savings of 45% in Italy [12] and 40% in Spain [13]. In addition, Varela Luján et al [14] found that, in Spain, renovating façades using external thermal insulation composites reduced energy losses by 57% and energy gains by 39% compared to those with the façade in its original state. However, it is neither practical nor economical to increase the insulation thickness until both the heat losses for heating and heat gains for cooling are eliminated through the thermal envelope.…”

Section: Introductionmentioning

confidence: 99%

Energy Renovation of Residential Buildings in Cold Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

et al. 2020

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The residential sector of the European Union consumes 27% of the final energy of the European Union, and approximately two-thirds of the existing dwellings in the European Union were built before 1980. For this reason, the European Union aims to transform the existing residential building stock into nearly zero-energy buildings by 2050 through energy renovation. The most effective method to achieve this goal is to increase the thermal insulation of opaque elements of the thermal envelope. This study aims to assess the energy, environmental and economic impacts of the energy renovation of the thermal envelopes that are typical of the existing multi-family buildings of the 26 provincial capitals in the cold climate zones of Spain. To achieve this goal, the insulation thickness to be added to the walls, roof and first floor framework is optimized by a life cycle cost analysis, and the existing building openings are replaced, thus minimizing both the total heating costs and the total heating and cooling costs. The study uses four thermal insulation materials for four different heating and cooling systems in 10 different models. The results obtained will be used to propose energy renovation solutions to achieve nearly zero-energy buildings both in Spain and in similar Mediterranean climate zones.

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“…ETICS is an easy technology in which all the works are made on site and is widely used in the European market [51]. Thanks to its application on the outside of the building is a solution that protects the structure of the building by protecting its exterior walls from atmospheric agents, and provides high indoor thermal comfort both in summer and winter, as has been proven in some studies such as [52]. In this solution different materials can be applied as thermal insulation, EPS (expanded polystyrene) being the most used material in Europe [51].…”

Section: Solutions Catalogue Definitionmentioning

confidence: 99%

Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models

Mulero-Palencia¹,

Álvarez²,

Chicote³

2021

Sustainability

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In recent years, new technologies, such as Artificial Intelligence, are emerging to improve decision making based on learning. Their use applied to the Architectural, Engineering and Construction (AEC) sector, together with the increased use of Building Information Modeling (BIM) methodology in all phases of a building’s life cycle, is opening up a wide range of opportunities in the sector. At the same time, the need to reduce CO2 emissions in cities is focusing on the energy renovation of existing buildings, thus tackling one of the main causes of these emissions. This paper shows the potentials, constraints and viable solutions of the use of Machine Learning/Artificial Intelligence approaches at the design stage of deep renovation building projects using As-Built BIM models as input to improve the decision-making process towards the uptake of energy efficiency measures. First, existing databases on buildings pathologies have been studied. Second, a Machine Learning based algorithm has been designed as a prototype diagnosis tool. It determines the critical areas to be solved through deep renovation projects by analysing BIM data according to the Industry Foundation Classes (IFC4) standard and proposing the most convenient renovation alternative (based on a catalogue of Energy Conservation Measures). Finally, the proposed diagnosis tool has been applied to a reference test building for different locations. The comparison shows how significant differences appear in the results depending on the situation of the building and the regulatory requirements to which it must be subjected.

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Experimental comparative study of the thermal performance of the façade of a building refurbished using ETICS, and quantification of improvements

Cited by 40 publications

References 20 publications

Energy Renovation of Residential Buildings in Hot and Temperate Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

Energy Renovation of Residential Buildings in Hot and Temperate Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

Energy Renovation of Residential Buildings in Cold Mediterranean Zones Using Optimized Thermal Envelope Insulation Thicknesses: The Case of Spain

Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models

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