2013
DOI: 10.1016/j.enbuild.2012.09.037
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A modelling strategy for energy, carbon, and cost assessments of building stocks

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Cited by 126 publications
(71 citation statements)
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References 19 publications
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“…Recently, retrofit-oriented stock modelling methods have received significant attention in building energy practice (Kavgic et al, 2010;Mata et al, 2013); however, exergy-based analysis have not managed to keep up with the same trend. By utilising popular building simulation tools as the foundation, practical exergy theory could become more accessible, reaching a wider audience of policy makers.…”
Section: Exergy Efficiency (ψ)mentioning
confidence: 99%
“…Recently, retrofit-oriented stock modelling methods have received significant attention in building energy practice (Kavgic et al, 2010;Mata et al, 2013); however, exergy-based analysis have not managed to keep up with the same trend. By utilising popular building simulation tools as the foundation, practical exergy theory could become more accessible, reaching a wider audience of policy makers.…”
Section: Exergy Efficiency (ψ)mentioning
confidence: 99%
“…The referred studies are reported in Table 2 and classified into energy assessment variables and influential aspects on the energy performance of building stocks, which resulted in a set of response variables and covariates, respectively. (2000) • (Shorrock and Dunster, 1997)(Boardman, 2007) • DECarb (Natarajan and Levermore, 2007) • • • EEP (Jones et al, 2007)(Firth et al, 2010) • • • • DECM (Cheng and Steemers, 2011)(Florio and Teissier, 2015) • • Fonseca and Schlueter (2015)(Aksoezen et al, 2015) • • ECCABS (Mata et al, 2013) •…”
Section: Selection Of Response Variables and Covariatesmentioning
confidence: 99%
“…En Suecia, destaca el modelo propuesto por Mata et al (2013), denominado ECCABS (Energy, Carbon and Cost Assessment for Building Stocks), mediante el cual se modela el uso de la energía, las emisiones de CO 2 y los costes de la implementación de 12 medidas de eficiencia energética para la rehabilitación de edificios. El enfoque bottom-up permite estimar dichos parámetros para la totalidad del parque residencial de edificios sueco y evaluar los efectos de las medidas de ahorro de energía.…”
Section: Sueciaunclassified
“…Sin embargo, otros autores se decantan por programas de cálculo reconocidos internacionalmente como EnergyPlus en el caso de (Ascione et al, 2013;Caputo et al, 2013;Fonseca y Schlueter, 2015;Mauro et al, 2015), Matlab (Martins et al, 2014;Mata et al, 2013;Mauro et al, 2015) o RADIANCE (Martins et al, 2014).…”
Section: Tabla 24unclassified
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