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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Science & Technology remover
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11
A simulation-based method to predict the life cycle energy performance of residential buildings in different climate zones of China
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A simulation-based method to predict the life cycle energy performance of residential buildings in different climate zones of China

Zou, Yukai ; Xiang, Ke ; Zhan, Qiaosheng ; Li, Zhixing

Building and environment, 2021-04, Vol.193, p.107663, Article 107663 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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12
Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project
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Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project

Ballarini, Ilaria ; Corgnati, Stefano Paolo ; Corrado, Vincenzo

Energy policy, 2014-05, Vol.68, p.273-284 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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13
Energy retrofit of residential building clusters. A literature review of crossover recommended measures, policies instruments and allocated funds in Spain
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Energy retrofit of residential building clusters. A literature review of crossover recommended measures, policies instruments and allocated funds in Spain

Ibañez Iralde, N. Soledad ; Pascual, Jordi ; Salom, Jaume

Energy and buildings, 2021-12, Vol.252, p.111409, Article 111409 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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14
Residential building design optimisation using sensitivity analysis and genetic algorithm
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Residential building design optimisation using sensitivity analysis and genetic algorithm

Bre, Facundo ; Silva, Arthur Santos ; Ghisi, Enedir ; Fachinotti, Víctor D.

Energy and buildings, 2016-12, Vol.133, p.853-866 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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15
Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings
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Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings

An, Jingjing ; Yan, Da ; Hong, Tianzhen

Energy and buildings, 2018-09, Vol.174 (C), p.214-227 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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16
Validation of a Bayesian-based method for defining residential archetypes in urban building energy models
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Validation of a Bayesian-based method for defining residential archetypes in urban building energy models

Sokol, Julia ; Cerezo Davila, Carlos ; Reinhart, Christoph F.

Energy and buildings, 2017-01, Vol.134, p.11-24 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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17
Green retrofit of aged residential buildings in Hong Kong: A preliminary study
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Green retrofit of aged residential buildings in Hong Kong: A preliminary study

Tan, Yongtao ; Liu, Guo ; Zhang, Yan ; Shuai, Chenyang ; Shen, Geoffrey Qiping

Building and environment, 2018-10, Vol.143, p.89-98 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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18
Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behavior
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Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behavior

Csoknyai, Tamás ; Legardeur, Jeremy ; Akle, Audrey Abi ; Horváth, Miklós

Energy and buildings, 2019-08, Vol.196, p.1-20 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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19
Investigating the potential of applying vertical green walls to high-rise residential buildings for energy-saving in sub-tropical region
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Investigating the potential of applying vertical green walls to high-rise residential buildings for energy-saving in sub-tropical region

Wong, Irene ; Baldwin, Andrew N.

Building and environment, 2016-02, Vol.97, p.34-39 [Periódico revisado por pares]

Elsevier Ltd

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20
Optimal sizing of stand-alone photovoltaic systems in residential buildings
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Optimal sizing of stand-alone photovoltaic systems in residential buildings

Okoye, Chiemeka Onyeka ; Solyalı, Oğuz

Energy (Oxford), 2017-05, Vol.126, p.573-584 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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