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A review on buildings energy consumption information
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“Building codes and green building standards increasingly regulate airtight construction for energy efficiency.”
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Rating the energy performance of buildings
Olofsson, T., Meier, A., & Lamberts, R. (2004) · University of North Texas Digital Library (University of North Texas) · Cited by 232
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Experimental investigation of air conditioning system using evaporative cooling condenser
Wang, T., Sheng, C., & Nnanna, A. G. A. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.06.047 · Cited by 123
Influence of shading control patterns on the energy assessment of office spaces
da Silva, P. C., Leal, V., & Andersen, M. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2012.03.019 · Cited by 123
Study on dew point evaporative cooling system with counter-flow configuration
Lin, J., Thu, K., Bui, T. D., Wang, R. Z., Ng, K. C., & Chua, K. J. (2015) · Energy Conversion and Management · doi:10.1016/j.enconman.2015.11.059 · Cited by 123
de Souza, D. M., Lafontaine, M., Charron-Doucet, F., Chappert, B., Kicak, K., Duarte, F., & Lima, L. M. R. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.07.069 · Cited by 123
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Alirezaei, M., Noori, M., & Tatari, O. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.08.044 · Cited by 123
Jiang, T., Li, Z., Jin, X., Chen, H., Li, X., & Mu, Y. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.05.091 · Cited by 123
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Wang, Z., Zhang, H., He, Y., Luo, M., Li, Z., Hong, T., & Lin, B. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110017 · Cited by 123
“Introduction Among all the building energy consumption sources, heating, ventilation and air conditioning (HVAC) systems accounts for as high as 30% to 50% [1], [2], [3].”
BackgroundKorolija, I., Marjanovic-Halburd, L., Zhang, Y., & Hanby, V. I. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2012.12.032 · Cited by 123
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MethodEvaluating the life cycle energy benefits of energy efficiency regulations for buildings
Crawford, R. H., Bartak, E., Stephan, A., & Jensen, C. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.061 · Cited by 123
Hu, J., Chen, W., Zhao, B., & Yang, D. (2016) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2016.11.062 · Cited by 122
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Hamilton, I., Steadman, P., Bruhns, H. R., Summerfield, A. J., & Lowe, R. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.04.004 · Cited by 121
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Azadeh, A., Babazadeh, R., & Asadzadeh, S. M. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.07.007 · Cited by 120
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BackgroundKnudsen, M. D., & Petersen, S. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.04.053 · Cited by 119
Metzmacher, H., Wölki, D., Schmidt, C., Frisch, J., & van Treeck, C. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.09.032 · Cited by 119
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Heeren, N., Jakob, M., Martius, G., Gross, N., & Wallbaum, H. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.11.064 · Cited by 119
Pattern recognition algorithms for electricity load curve analysis of buildings
Panapakidis, I. P., Papadopoulos, T. A., Christoforidis, G. C., & Papagiannis, G. K. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.01.002 · Cited by 122
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Saidur, R., Hasanuzzaman, M., Yogeswaran, S., Mohammed, H. A., & Hossain, M. S. (2010) · Energy · doi:10.1016/j.energy.2010.09.012 · Cited by 118
Khosravani, H. R., Castilla, M., Berenguel, M., Ruano, A. E., & Ferreira, P. (2016) · Energies · doi:10.3390/en9010057 · Cited by 118
Yang, X., Feng, S., Zhang, Q., Chai, Y. S., Jin, L., & Lu, T. J. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.09.050 · Cited by 118
Yang, S., Wan, M. P., Ng, B. F., Zhang, T., Babu, S., Zhang, Z., Chen, W., & Dubey, S. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.03.082 · Cited by 118
Sectorial study of technological progress and CO2 emission: Insights from a developing economy
Khan, A., Xie, E., Raza, M. Y., Khan, N. A., & Ali, A. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119862 · Cited by 118
Wang, Z., Wang, J., He, Y., Liu, Y., Lin, B., & Hong, T. (2019) · Journal of Building Engineering · doi:10.1016/j.jobe.2019.101120 · Cited by 118
“Introduction The building sector is a significant energy consumer and carbon emitter, consuming 40% of the total energy usage in the US and UK [1], [2], and is responsible for around one third of greenhouse gas emissions globally [3].”
BackgroundDaylighting in buildings: Developments of sunlight addressing by optical fiber
Sapia, C. (2013) · Solar Energy · doi:10.1016/j.solener.2012.12.003 · Cited by 117
Kong, X., Lu, S., Huang, J., Cai, Z., & Wei, S. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2013.03.048 · Cited by 117
Departure of condensation droplets on superhydrophobic surfaces.
Lv, C.-J., Hao, P., Yao, Z., & Niu, F. (2015) · Langmuir · doi:10.1021/la504638y · Cited by 110
Cetin, K. S., Fathollahzadeh, M. H., Kunwar, N., Do, H., & Tabares-Velasco, P. C. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.11.005 · Cited by 117
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Benhammou, M., Draoui, B., Zerrouki, M., & Marif, Y. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.11.042 · Cited by 117
Hossaini, N., Reza, B., Akhtar, S., Sadiq, R., & Hewage, K. (2014) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2014.920704 · Cited by 116
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BackgroundModeling the energy retrofit decision in commercial office buildings
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BackgroundOptimizing building comfort temperature regulation via model predictive control
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BackgroundXu, B., & Li, Z. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.02.007 · Cited by 114
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Liu, X., Ye, Z., Bai, L., & He, M. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2018.12.030 · Cited by 114
Wu, Z., Li, N., Wargocki, P. L., Peng, J., Li, J., & Cui, H. (2019) · Energy · doi:10.1016/j.energy.2019.05.204 · Cited by 114
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“About 30% to 50% of the residential and commercial energy consumption in most developed countries is used by Heating, Ventilation, and Air Conditioning (HVAC) systems [3, 5, 22, 25].”
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Cui, H., & Overend, M. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.07.004 · Cited by 113
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Deng, X., Zhang, Y., Zhang, Y., & Qi, H. (2022) · Building and Environment · doi:10.1016/j.buildenv.2021.108680 · Cited by 115
Cotana, F., Pisello, A. L., Moretti, E., & Buratti, C. (2014) · Building and Environment · doi:10.1016/j.buildenv.2014.06.014 · Cited by 112
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Automatic thermographic and RGB texture of as-built BIM for energy rehabilitation purposes
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Residential HVAC fault detection using a system identification approach
Turner, W. J. N., Staino, A., & Basu, B. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.06.008 · Cited by 112
Singhal, V., Maggu, J., & Majumdar, A. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2815763 · Cited by 112
Aghniaey, S., Lawrence, T. M., Sharpton, T., Douglass, S. P., Oliver, T., & Sutter, M. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.11.013 · Cited by 112
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“One of the key contributors to the increasing world-wide energy consumption is the service sector which covers all types of buildings with a wide range of HVAC system [2], [3].”
BackgroundLi, B., Cheng, F., Cai, H., Zhang, X., & Cai, W. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111044 · Cited by 112
Sarı, A. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2013.10.034 · Cited by 112
Kazmi, H., Mehmood, F., Lodeweyckx, S., & Driesen, J. (2018) · Energy · doi:10.1016/j.energy.2017.12.019 · Cited by 109
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Wang, Z., Hong, T., & Piette, M. A. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.02.066 · Cited by 113
Solar and Thermal Radiation‐Modulation Materials for Building Applications
Chai, J., & Fan, J. (2022) · Advanced Energy Materials · doi:10.1002/aenm.202202932 · Cited by 111
A knowledge-based expert system for assessing the performance level of green buildings
Nilashi, M., Zakaria, R. B., Ibrahim, O., Majid, M. Z. A., Zin, R. M., Chugtai, M. W., Abidin, N. I. Z., Sahamir, S. R., & Aminu, D. Y. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.06.009 · Cited by 111
Estiri, H. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.02.013 · Cited by 106
A cost optimization model for 100% renewable residential energy supply systems
Milan, C., Bojesen, C., & Nielsen, M. P. (2012) · Energy · doi:10.1016/j.energy.2012.05.034 · Cited by 110
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Tardioli, G., Kerrigan, R., Oates, M., O’Donnell, J., & Finn, D. (2015) · Energy Procedia · doi:10.1016/j.egypro.2015.11.754 · Cited by 110
“increased time occupants spend inside buildings [1].”
Modelling residential electricity demand in the GCC countries
Atalla, T., & Hunt, L. C. (2016) · Energy Economics · doi:10.1016/j.eneco.2016.07.027 · Cited by 118
“…(such as air conditioners), the interdependency between climate variation and residential electricity consumption has, in all probability, increased—with space heating and cooling representing the largest share of building energy consumption in many countries (Pérez-Lombard et al., 2008).”
BackgroundPezeshki, Z., & Mazinani, S. M. (2018) · Artificial Intelligence Review · doi:10.1007/s10462-018-9630-6 · Cited by 110
“As mentioned before (Pérez-Lombard et al. 2008; Allouhi et al. 2015), a neural network model typically consists of three layers: an input layer, a hidden layer (here: HVAC system, lighting system, and household appliances) and an output layer.”
BackgroundMethodMartín, M., Villalba, A., Fernández, A. I., & Barreneche, C. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.03.029 · Cited by 110
Thermal zoning for building HVAC design and energy simulation: A literature review
Shin, M., & Haberl, J. S. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109429 · Cited by 110
Effect of flax fibers on early age shrinkage and cracking of earth concrete
Kouta, N., Saliba, J., & Saiyouri, N. (2020) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2020.119315 · Cited by 110
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Yi, Z., Lv, Y., Xu, D., Xu, J., Qian, H., Zhao, D., & Yang, R. (2020) · Energy and Built Environment · doi:10.1016/j.enbenv.2020.07.003 · Cited by 110
Reducing the total life cycle energy demand of recent residential buildings in Lebanon
Stephan, A., & Stephan, L. (2014) · Energy · doi:10.1016/j.energy.2014.07.028 · Cited by 112
“In Europe, the operation of residential buildings is responsible for 26% of the final energy demand [10].”
BackgroundWijayasekara, D., Linda, O., Manic, M., & Rieger, C. G. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2328291 · Cited by 109
“This number has been projected to further increase [1], [7].”
BackgroundLimam, A., Zerizer, A., Quenard, D., Sallée, H., & Chenak, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.01.007 · Cited by 96
Educational building retrofit under climate change and urban heat island effect
Akkose, G., Akgül, Ç. M., & Dino, İ. G. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102294 · Cited by 107
Dynamic insulation systems of building envelopes: A review
Fawaier, M., & Bokor, B. (2022) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112268 · Cited by 109
Experimental investigation of a solid/gas thermochemical storage process for solar air-conditioning
Stitou, D., Mazet, N., & Mauran, S. (2011) · Energy · doi:10.1016/j.energy.2011.07.029 · Cited by 109
Cavalagli, N., Kita, A., Castaldo, V. L., Pisello, A. L., & Ubertini, F. (2019) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2019.04.204 · Cited by 108
Analysis of energy consumption and potential energy savings of an institutional building in Malaysia
Ali, S. B. M., Hasanuzzaman, M., Rahim, N. A., Mamun, M. A. A., & Obaidellah, U. H. B. (2020) · Alexandria Engineering Journal · doi:10.1016/j.aej.2020.10.010 · Cited by 108
Longitudinal analysis of normative energy use feedback on dormitory occupants
Anderson, K., Song, K., Lee, S. H., Krupka, E. L., Lee, H., & Park, M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.12.086 · Cited by 108
Cigler, J., Prívara, S., Váňa, Z., Žáčeková, E., & Ferkl, L. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2012.05.022 · Cited by 108
Wen, R., Zhang, X., Huang, Y., Yin, Z., Huang, Z., Fang, M., Liu, Y., & Wu, X. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.01.025 · Cited by 107
Metadata
- Authors
- Pérez-Lombard, L., Ortiz, J., & Pout, C.
- Affiliations
- Building Research Establishment (GB)
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2008
- Volume
- 40
- Issue
- 3
- Pages
- 394-398
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2163121678
- Cited by
- 6,649
- References
- 1
- Citations by year
- 2026: 368 · 2025: 445 · 2024: 465 · 2023: 485 · 2022: 475 · 2021: 566 · 2020: 553 · 2019: 545 · 2018: 494 · 2017: 520 · 2016: 434 · 2015: 398 · 2014: 340 · 2013: 234 · 2012: 151
- FWCI
- 81.62
- Type
- journal article
- Language
- en
- Open access
- green
- idus.us.es
- Licence
- Locations
- Energy and Buildings (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
- Deposito de Investigacion Universidad de Sevilla (University of Seville) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy Efficiency and Management
- Keywords
- building energy consumption, HVAC systems, energy efficiency, commercial buildings, office buildings, building types, end-use energy, energy policy, residential buildings, cross-national comparison
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