The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
Personalized conditioning and its impact on thermal comfort and energy performance – A review
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Personal conditioning typically targets local discomfort, and hence, results in non-uniform environments [122]: the hands and arms are critical body parts in cool environments, whereas the head and neck are critical body parts in warm environments.”
From Drivers of diversity in human thermal perception – A review for holistic comfort models (2018) · cites this paper as [122]
Citations
Cites
A review on buildings energy consumption information
Pérez-Lombard, L., Ortiz, J., & Pout, C. (2008) · Energy and Buildings · doi:10.1016/j.enbuild.2007.03.007 · Cited by 6,649 · cited 1×
“The built environment accounts for 30% of the primary energy use in The Netherlands [1] and 20 – 40% in the EU and the US [2], while about half of this energy is used by HVAC.”
Thermal Environmental Conditions for Human Occupancy
Ashrae, S. (1992) · Medical Entomology and Zoology · Cited by 6,092
Thermal comfort: Analysis and applications in environmental engineering
Fanger, P. O. (1972) · Applied Ergonomics · doi:10.1016/s0003-6870(72)80074-7 · Cited by 4,515
(1998) · eScholarship (California Digital Library) · Cited by 1,934
Forty years of Fanger’s model of thermal comfort: comfort for all?
van Hoof, J. (2008) · Indoor Air · doi:10.1111/j.1600-0668.2007.00516.x · Cited by 733
Thermal comfort and gender: a literature review
Karjalainen, S. (2012) · Indoor Air · doi:10.1111/j.1600-0668.2011.00747.x · Cited by 536
Zhang, H., Arens, E. A., Huizenga, C., & Han, T. (2009) · Building and Environment · doi:10.1016/j.buildenv.2009.06.020 · Cited by 533
Progress in thermal comfort research over the last twenty years
de Dear, R., AKIMOTO, T., Arens, E. A., Brager, G. S., Cândido, C., Cheong, D. K. W., Li, B., Nishihara, N., Sekhar, C., Tanabe, S., et al. (2013) · Indoor Air · doi:10.1111/ina.12046 · Cited by 524
Partial- and whole-body thermal sensation and comfort—Part II: Non-uniform environmental conditions
Arens, E. A., Zhang, H., & Huizenga, C. (2006) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2005.11.027 · Cited by 444
Cited by
Sorted by citations
A review of human thermal comfort in the built environment
Rupp, R. F., Vásquez, N. G., & Lamberts, R. (2015) · Energy and Buildings · doi:10.1016/j.enbuild.2015.07.047 · Cited by 907
Wearable thermoelectrics for personalized thermoregulation
Hong, S., Gu, Y., Seo, J. K., Wang, J., Liu, P., Meng, Y. S., Xu, S., & Chen, R. (2019) · Science Advances · doi:10.1126/sciadv.aaw0536 · Cited by 522
Kim, J., Zhou, Y., Schiavon, S., Raftery, P., & Brager, G. S. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.12.011 · Cited by 492
The human dimensions of energy use in buildings: A review
D’Oca, S., Hong, T., & Langevin, J. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.08.019 · Cited by 394
A review of thermal comfort models and indicators for indoor environments
Enescu, D. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.175 · Cited by 410
Labeodan, T., Zeiler, W., Boxem, G., & Zhao, Y. (2015) · Energy and Buildings · doi:10.1016/j.enbuild.2015.02.028 · Cited by 324
Self-citationPark, J. Y., & Nagy, Z. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.09.102 · Cited by 308
A critical review of field implementations of occupant-centric building controls
Park, J. Y., Ouf, M. M., Gunay, B., Peng, Y., O’Brien, W., Kjærgaard, M. B., & Nagy, Z. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106351 · Cited by 292
Personal comfort systems: A review on comfort, energy, and economics
Rawal, R., Schweiker, M., Kazanci, O. B., Vardhan, V., Jin, Q., & Duanmu, L. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.109858 · Cited by 239
Drivers of diversity in human thermal perception – A review for holistic comfort models
Schweiker, M., Huebner, G. M., Kingma, B. R. M., Kramer, R., & Pallubinsky, H. (2018) · Temperature · doi:10.1080/23328940.2018.1534490 · Cited by 231
Advanced air distribution: improving health and comfort while reducing energy use
Melikov, A. K. (2015) · Indoor Air · doi:10.1111/ina.12206 · Cited by 182
Thermal comfort evaluated for combinations of energy-efficient personal heating and cooling devices
Luo, M., Arens, E. A., Zhang, H., Ghahramani, A., & Wang, Z. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.07.008 · Cited by 172
Thermal comfort of heterogeneous and dynamic indoor conditions — An overview
Mishra, A. K., Loomans, M. G. L. C., & Hensen, J. L. M. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.09.016 · Cited by 167
Demand side flexibility: Potentials and building performance implications
Aduda, K. K., Labeodan, T., Zeiler, W., Boxem, G., & Zhao, Y. (2016) · Sustainable Cities and Society · doi:10.1016/j.scs.2016.02.011 · Cited by 164
Self-citationA review of reinforcement learning methodologies for controlling occupant comfort in buildings
Han, M., May, R., Zhang, X., Wang, X., Pan, S., Yan, D., Jin, Y., & Xu, L. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101748 · Cited by 168
Personal thermal management techniques for thermal comfort and building energy saving
Ma, Z., Zhao, D., She, C., Yang, Y., & Yang, R. (2021) · Materials Today Physics · doi:10.1016/j.mtphys.2021.100465 · Cited by 163
McArthur, J. J., & Powell, C. (2020) · Building and Environment · doi:10.1016/j.buildenv.2019.106635 · Cited by 158
Song, W., Zhang, Z., Chen, Z., Wang, F., & Yang, B. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111747 · Cited by 155
Personal thermal management using portable thermoelectrics for potential building energy saving
Zhao, D., Lu, X., Fan, T., Wu, Y. S., Lou, L., Wang, Q., Fan, J., & Yang, R. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.02.158 · Cited by 147
Kim, J., Bauman, F. S., Raftery, P., Arens, E. A., Zhang, H., Fierro, G., Andersen, M., & Culler, D. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.11.012 · Cited by 145
Thermal comfort models for indoor spaces and vehicles—Current capabilities and future perspectives
Croitoru, C. V., Năstase, I., Bode, F. I., Meslem, A., & Dogeanu, A. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.10.105 · Cited by 136
Ultralight and hyperelastic SiC nanofiber aerogel spring for personal thermal energy regulation
Song, L., Fan, B., Chen, Y., Gao, Q., Li, Z., Wang, H., Zhang, X., Guan, L., Li, H., & Zhang, R. (2022) · Journal of Advanced Ceramics · doi:10.1007/s40145-022-0606-2 · Cited by 130
Human thermal sensation and comfort in a non-uniform environment with personalized heating
Deng, Q., Wang, R., Li, Y., Miao, Y., & Zhao, J. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.05.172 · Cited by 127
Nasrollahzadeh, N. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103418 · Cited by 120
Modelling personal thermal sensations using C-Support Vector Classification (C-SVC) algorithm
Jiang, L., & Yao, R. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.01.022 · Cited by 121
Data-driven personal thermal comfort prediction: A literature review
Feng, Y., Liu, S., Wang, J., Yang, J., Jao, Y., & Wang, N. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112357 · Cited by 123
Rupp, R. F., Kim, J., de Dear, R., & Ghisi, E. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.02.049 · Cited by 113
Ding, E., Zhang, D., & Bluyssen, P. M. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108484 · Cited by 117
Fang, Z., Liu, H., Li, B., Tan, M., & Oladokun, M. O. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.10.099 · Cited by 106
Advancing Environmental Education Practice
Krasny, M. E. (2020) · Cornell University Press eBooks · doi:10.7591/9781501747083 · Cited by 109
Hybrid cooling clothing to improve thermal comfort of office workers in a hot indoor environment
Song, W., Wang, F., & Wei, F. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.02.009 · Cited by 103
Personalized heating – Comparison of heaters and control modes
Veselý, M., Molenaar, P. C. A., Vos, M., Li, R., & Zeiler, W. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.11.036 · Cited by 101
Self-citationA Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments
Liu, J., Zhu, S., Kim, M. K., & Srebric, J. (2019) · Sustainability · doi:10.3390/su11154166 · Cited by 101
Song, Y., Mao, F., & Liu, Q. (2019) · IEEE Access · doi:10.1109/access.2019.2937320 · Cited by 99
Personal assessment of urban heat exposure: a systematic review
Nazarian, N., & LEE, J. K. W. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abd350 · Cited by 99
André, M., Vecchi, R. D., & Lamberts, R. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110011 · Cited by 95
Thermal comfort performance and energy-efficiency evaluation of six personal heating/cooling devices
Tang, Y., Yu, H., Zhang, K., Niu, K., Mao, H., & Luo, M. (2022) · Building and Environment · doi:10.1016/j.buildenv.2022.109069 · Cited by 91
Choi, J.-H., & Yeom, D. J. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.01.007 · Cited by 86
Keyvanfar, A., Shafaghat, A., Majid, M. Z. A., Lamit, H., Hussin, M. W., Ali, K. N., & Saad, A. D. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.07.094 · Cited by 88
Udayraj, U., Li, Z., Ke, Y., Wang, F., & Yang, B. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.06.049 · Cited by 80
Heat Stress in Indoor Environments of Scandinavian Urban Areas: A Literature Review
Kownacki, K. L., Gao, C., Kuklane, K., & Wierzbicka, A. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040560 · Cited by 77
Labeodan, T., Aduda, K. K., Boxem, G., & Zeiler, W. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.05.081 · Cited by 77
Self-citationZhang, J., Zhou, X. J., Lei, S., & Luo, M. (2021) · Building Simulation · doi:10.1007/s12273-021-0852-1 · Cited by 76
Assaad, D. A., Ghali, K., & Ghaddar, N. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.08.005 · Cited by 74
Energy consequences of Comfort-driven temperature setpoints in office buildings
Aryal, A., & Becerik-Gerber, B. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.08.013 · Cited by 73
Ma, R., Li, D., Xu, C., Yang, J., Huang, J., & Guo, Z. (2024) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2024.103252 · Cited by 73
Yang, H., Cao, B., Ju, Y., & Zhu, Y. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.06.004 · Cited by 71
Experimental comparison of local direct heating to improve thermal comfort of workers
Wang, H., Xu, M., & Bian, C. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.106884 · Cited by 71
A review of intensified conditioning of personal micro-environments: Moving closer to the human body
Yang, B., Ding, X., Wang, F., & Li, A. (2020) · Energy and Built Environment · doi:10.1016/j.enbenv.2020.06.007 · Cited by 69
Energy performance index of air distribution: Thermal utilization effectiveness
Zhang, S., Lu, Y., Niu, D., & Lin, Z. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.118122 · Cited by 69
Neural network based predictive control of personalized heating systems
Katić, K., Li, R., Verhaart, J. J., & Zeiler, W. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.06.033 · Cited by 67
Self-citationZhang, S., Cheng, Y. C., Fang, Z., & Lin, Z. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.05.029 · Cited by 62
Aryal, A., Becerik-Gerber, B., Lucas, G., & Roll, S. C. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3038378 · Cited by 61
Luo, W., Kramer, R. P., de Kort, Y. A. W., Rense, P., & Lichtenbelt, W. D. V. M. (2021) · Indoor Air · doi:10.1111/ina.12951 · Cited by 64
Insights on critical parameters and conditions for personalized ventilation
Zhai, Z. J., & Metzger, I. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101584 · Cited by 60
Indoor thermal comfort review: The tropics as the next frontier
Rodriguez, C. M., & D’Alessandro, M. (2019) · Urban Climate · doi:10.1016/j.uclim.2019.100488 · Cited by 67
Salehi, B., Ghanbaran, A. H., & Maerefat, M. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106579 · Cited by 61
Borghero, L., Tardío, E. C., Péan, T., Ortiz, J., & Salom, J. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110043 · Cited by 59
Godithi, S. B., Sachdeva, E., Garg, V., Brown, R. E., Köhler, C., & Rawal, R. (2018) · Intelligent Buildings International · doi:10.1080/17508975.2018.1543179 · Cited by 62
Realizing a 10 °C Cooling Effect in a Flexible Thermoelectric Cooler Using a Vortex Generator
Xu, S., Li, M., Dai, Y., Hong, M., Sun, Q., Lyu, W., Liu, T., Wang, Y., Zou, J., Chen, Z., et al. (2022) · Advanced Materials · doi:10.1002/adma.202204508 · Cited by 58
Personal heating: effectiveness and energy use
Verhaart, J. J., Veselý, M., & Zeiler, W. (2015) · Building Research & Information · doi:10.1080/09613218.2015.1001606 · Cited by 58
Self-citationUnderstanding human-building interactions under multimodal discomfort
Ozcelik, G., Becerik-Gerber, B., & Chugh, R. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.12.046 · Cited by 57
Wang, H., Li, W., Wang, J., Xu, M., & Ge, B. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108227 · Cited by 57
Liu, J., Dalgo, D., Zhu, S., Li, H., Zhang, L., & Srebric, J. (2019) · Building Simulation · doi:10.1007/s12273-019-0521-9 · Cited by 56
Spatiotemporal Changes in Population Exposure to Heat Stress in South Asia
Kyaw, A. K., Hamed, M. M., Kamruzzaman, M., & Shahid, S. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104544 · Cited by 55
A review of local radiant heating systems and their effects on thermal comfort and sensation
Hooshmand, S. M., Zhang, H., Javidanfar, H., Zhai, Y., & Wagner, A. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.113331 · Cited by 55
Du, J., Chan, M.-Y., Pan, D., & Deng, S. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.06.052 · Cited by 55
Using the contrast within a single face heat map to assess personal thermal comfort
Cosma, A. C., & Simha, R. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106163 · Cited by 55
Choudhary, B., Udayraj, U., Wang, F., Ke, Y., & Yang, J. (2019) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2019.118973 · Cited by 55
Samani, P., Leal, V., Mendes, A. M. M., & Correia, N. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.03.055 · Cited by 54
Tsoulou, I., Andrews, C. J., He, R., Mainelis, G., & Senick, J. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106411 · Cited by 53
Luo, W., Kramer, R. P., de Kort, Y. A. W., & Lichtenbelt, W. D. V. M. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111766 · Cited by 53
Song, G., Ai, Z., Liu, Z., & Zhang, G. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.05.243 · Cited by 52
Gender differences in thermal sensation and skin temperature sensitivity under local cooling
Zhao, Q., Lyu, J., Du, H., Lian, Z., & Zhao, Z. (2022) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2022.103401 · Cited by 52
Song, W., Wang, F., Zhang, C., & Lai, D. (2015) · Building and Environment · doi:10.1016/j.buildenv.2015.10.017 · Cited by 52
Comfort settings and energy demand for residential nZEB in warm climates
Guillén-Lambea, S., Rodríguez-Soria, B., & Marín, J. M. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.163 · Cited by 52
Thermal comfort and physiological responses with standing and treadmill workstations in summer
Yang, L., Gao, S., Zhao, S., Zhang, H., Arens, E. A., & Zhai, Y. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107238 · Cited by 52
Du, C., Li, B., Liu, H., Ji, Y., Yao, R., & Yu, W. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.04.010 · Cited by 51
Choi, J.-H., & Yeom, D. J. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.05.062 · Cited by 49
Personalized cooling as an energy efficiency technology for city energy footprint reduction
Heidarinejad, M., Dalgo, D., Mattise, N. W., & Srebric, J. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.10.008 · Cited by 51
Joe, J., Karava, P., Hou, X., Xiao, Y., & Hu, J. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.06.068 · Cited by 48
Yu, Z. J., Yang, B., & Zhu, N. (2015) · Building and Environment · doi:10.1016/j.buildenv.2015.07.006 · Cited by 48
Smart Desks to Promote Comfort, Health, and Productivity in Offices: A Vision for Future Workplaces
Aryal, A., Becerik-Gerber, B., Anselmo, F., Roll, S. C., & Lucas, G. (2019) · Frontiers in Built Environment · doi:10.3389/fbuil.2019.00076 · Cited by 49
Năstase, I., Dancă, P., Bode, F. I., Croitoru, C. V., Tutunaru, L. F., Sandu, M., & Coşoiu, C. I. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.08.186 · Cited by 46
Chen, Z., Wang, Y., & Liu, H. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2844252 · Cited by 43
Blockchain-based IoT system for personalized indoor temperature control
Jeoung, J., Jung, S., Hong, T., & Choi, J. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104339 · Cited by 42
Bienvenido-Huertas, D., de la Hoz-Torres, M. L., Aguilar, A. J., Tejedor, B., & Sánchez-García, D. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110942 · Cited by 42
A Non-Linear Autoregressive Model for Indoor Air-Temperature Predictions in Smart Buildings
Aliberti, A., Bottaccioli, L., Macii, E., Cataldo, S. D., Acquaviva, A., & Patti, E. (2019) · Electronics · doi:10.3390/electronics8090979 · Cited by 42
Shahzad, S., Calautit, J. K., Aquino, A. I., Nasir, D. S. N. M., & Hughes, B. R. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.118 · Cited by 41
Luo, W., Kramer, R. P., de Kort, Y. A. W., Rense, P., Adam, J. J., & Lichtenbelt, W. D. V. M. (2022) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112617 · Cited by 41
Shetty, S. S., Hoang, D. C., Gupta, M., & Panda, S. K. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.12.040 · Cited by 40
Havenith, G., Griggs, K., Qiu, Y., Dorman, L. E., Kulasekaran, V., & Hodder, S. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107162 · Cited by 39
Effectiveness of neural networks and transfer learning for indoor air-temperature forecasting
Bellagarda, A., Cesari, S., Aliberti, A., Ugliotti, F. M., Bottaccioli, L., Macii, E., & Patti, E. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104314 · Cited by 40
A Meta-Synthesis Review of Occupant Comfort Assessment in Buildings (2002–2022)
Faraji, A., Rashidi, M., Rezaei, F., & Rahnamayiezekavat, P. (2023) · Sustainability · doi:10.3390/su15054303 · Cited by 41
Cheng, J. C. P., Zhang, J., Kwok, H. L., & Tong, J. C. K. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.108283 · Cited by 38
Ortiz, M. A., & Bluyssen, P. M. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106331 · Cited by 37
Landuyt, L. V., Turck, S. D., Laverge, J., Steeman, M., & Bossche, N. V. D. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108307 · Cited by 37
Nweye, K., & Nagy, Z. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.118980 · Cited by 37
Electric Vehicle Air Conditioning System and Its Optimization for Extended Range—A Review
Jose, S. S., & Chidambaram, R. K. (2022) · World Electric Vehicle Journal · doi:10.3390/wevj13110204 · Cited by 39
Du, C., Li, B., Liu, H., Wei, Y., & Tan, M. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.03.023 · Cited by 36
Metadata
- Authors
- Veselý, M., & Zeiler, W.
- Affiliations
- Eindhoven University of Technology (NL)
- Corresponding author
- Veselý, Michal
- ORCID
- Zeiler, Wim
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 34
- Pages
- 401-408
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2134642574
- Cited by
- 322
- References
- 80
- Citations by year
- 2026: 22 · 2025: 34 · 2024: 29 · 2023: 32 · 2022: 36 · 2021: 25 · 2020: 28 · 2019: 35 · 2018: 27 · 2017: 23 · 2016: 12 · 2015: 16 · 2014: 3
- FWCI
- 26.70
- Type
- journal article
- Language
- en
- Open access
- green
- research.tue.nl
- Licence
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- TU/e Research Portal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- TU/e Research Portal (submittedVersion, other-oa)
- 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 › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Keywords
- thermal comfort, building energy performance, ventilation rate, energy consumption reduction, energy simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review