The impact of building energy codes evolution on the residential thermal demand

Zabalza, Ignacio; Gesteira, Luis Gabriel; Uche, Javier

doi:10.1007/s40430-022-03898-w

Cited by 4 publications

(5 citation statements)

References 53 publications

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“…The majority of the studies evaluated were conducted in Spanish regions [13,[17][18][19][20]22,26,27,39], with four research works in European countries: the Netherlands [14], Austria [28], Ireland [29], and Italy [21]. Two other authors extended their research to various European locations [15,16].…”

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

“…Two other authors extended their research to various European locations [15,16]. Additionally, as far as the methods are concerned, 60% of the analysed studies obtained the parameter values using automated methods [13,14,17,18,20,21,28,29,39], while the remainder used manual methods [15,16,19,22,26,27].…”

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

“…Some researchers [14,16,18,19,28] set these parameters using the TABULA database. Others used samples of characteristic buildings [13,15,22,26,27], while Zabalza et al defined the parameters based on Building Energy Codes [39].…”

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

“…It should also be noted that neither do differences rise when social and private housing are compared [47]. The assignment of U-values to each element of a building envelope according to its construction period is done under different criteria, including the analysis of samples from the city of application [13,22,27], or adherence to building energy codes corresponding to each climatic zone [39].…”

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

“…Spanish regulations, specifically the LIDER-CALENER Unified Tool (HULC) [51], propose a default value of 0.63 ACH for residential buildings. Zabalza et al [39] define these values based on the year of construction and building typology. For the period from June to September, between 01:00 to 08:59, they assume that windows will be open, corresponding to four ACH.…”

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

See 4 more Smart Citations

The Open Data Potential for the Geospatial Characterisation of Building Stock on an Urban Scale: Methodology and Implementation in a Case Study

Villanueva-Díaz,

Álvarez-Sanz,

Campos-Celador

et al. 2024

Sustainability

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Energy renovation in buildings is one of the major challenges for the decarbonisation of the building stock. To effectively prioritise decision making regarding the adoption of the most efficient solutions and strategies, it is imperative to develop agile methods to determine the energy performance of buildings on an urban scale, in order to evaluate the impact of these improvements. In this regard, the data collection for feeding building energy models plays a key role in the accuracy and reliability of this issue, and the significant increase in recent years of available data from open data sources offers great potential in this respect. Thus, this study focuses on proposing a systematised and automated method for obtaining information from open data sources so as to obtain the most relevant geometric and thermal characteristics of residential buildings on an urban scale. The criteria for selecting the parameters to be obtained are based on their potential use as input data in different energy demand models aimed at assessing the energy performance of the building stock in a given area and, eventually, to evaluate the potential for improvement and the mitigation of different strategies. Geometric characterisation relies on obtaining and processing open data from cadastres to extract envelope surfaces categorised by orientation through QGIS (Free and Open Source Geographic Information System). For thermal characterisation, an automated process assigns different parameter-based information obtained from cadastral data, such as the year of construction. Finally, the applicability of the method is demonstrated through its implementation in the case study of Bilbao (Spain). The obtained results show that, although additional data should be collected when a detailed analysis of a building or building cluster has to be carried out, the existing open data can provide a first approximation, providing a first global view of the building stock in a region. It demonstrates the usability of the proposed method as an effective way to obtain and process these relevant data.

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Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

Section: Identification Of Characteristic Parameters For Calculating ...mentioning

confidence: 99%

See 3 more Smart Citations

The Open Data Potential for the Geospatial Characterisation of Building Stock on an Urban Scale: Methodology and Implementation in a Case Study

Villanueva-Díaz,

Álvarez-Sanz,

Campos-Celador

et al. 2024

Sustainability

View full text Add to dashboard Cite

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Energy-saving benefits of thermal insulation and glazing in code-compliant office building in cooling-dominated climates

Abdul Mujeebu,

Ashraf

2024

Renewable and Sustainable Energy Reviews

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A Sustainable Polygeneration System for a Residential Building

et al. 2022

Self Cite

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In line with the decarbonization of the domestic sector to meet the 2050 climate neutrality targets, this paper describes the energy, economic, and environmental analysis of a set of different novel configurations of polygeneration installations to provide electricity, air conditioning, domestic hot water, and desalinated water for a building of 80 dwellings. All arrangements were designed to cover 100% of the five demands required in the building with renewable energy only, from photovoltaic (PV) and photovoltaic-thermal (PVT) panels and biomass backup boilers (BB). Electricity can be sold to or purchased from the grid without electrical storage with batteries. Additional electricity generation with thermoelectric generators (TEG) coupled to the PVTs, and the BB was explicitly analyzed. The choice of electrically or thermally activated technologies (heat pump, HP/single-effect absorption chiller, SEAC for cooling and multi-effect distillation, MED/reverse osmosis, RO for desalination) created four configurations from the basic structure based on solar and biomass sources. Thus, the paper has studied four designs in detail and applied them to three case studies corresponding to different locations in Spain. They were modeled with TRNSYS and included specific models for desalination technologies. Both structures provide important energy and CO2 savings concerning the conventional supply of the building demands. The novel life-cycle analysis approach further increases the lifetime CO2 savings for all configurations as well. The electric option (the combination of HP and RO for cooling and desalting) was, by far, the most attractive solution in terms of liability and lower investment required in the three case studies.

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The impact of building energy codes evolution on the residential thermal demand

Cited by 4 publications

References 53 publications

The Open Data Potential for the Geospatial Characterisation of Building Stock on an Urban Scale: Methodology and Implementation in a Case Study

The Open Data Potential for the Geospatial Characterisation of Building Stock on an Urban Scale: Methodology and Implementation in a Case Study

Energy-saving benefits of thermal insulation and glazing in code-compliant office building in cooling-dominated climates

A Sustainable Polygeneration System for a Residential Building

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