Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 410

The DOI matches its Crossref record.

Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050

Open access
Zhou, Nan, Khanna, Nina, Feng, Wei, Ke, Jing, Levine, Mark·2018·Nature Energy

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41560-018-0253-6

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 41

  1. Harvey, L. D. D. Reducing energy use in the buildings sector: measures, costs, and examples. Energy Efficiency 2, 139–163 (2009). · DOI · Paper page
  2. Zhang, Y. F., Wang, J. Y., Chen, H. M., Zhang, J. & Meng, Q. L. Thermal comfort in naturally ventilated buildings in hot-humid area of China. Build. Environ. 45, 2562–2570 (2010). · DOI · Paper page
  3. Zheng, X. Y. et al. Characteristics of residential energy consumption in China: findings from a household survey. Energy Policy 75, 126–135 (2014). · doi:10.1016/j.enpol.2014.07.016
  4. Chen, S. Q., Yoshino, H. & Li, N. Statistical analyses on summer energy consumption characteristics of residential buildings in some cities of China. Energ. Buildings 42, 136–146 (2010). · doi:10.1016/j.enbuild.2009.07.003
  5. Bressand, F., Zhou, N. & Lin, J. in Proc. ECEEE 2007 Summer Study (eds S. Attali & K. Tillerson) 1065–1071 (ECEEE, 2007).
  6. Eom, J., Clarke, L., Kim, S. H., Kyle, P. & Patel, P. L. China’s building energy demand: long-term implications from a detailed assessment. Energy 46, 405–419 (2012). · DOI
  7. Chen, J. M. et al. A review of biomass burning: emissions and impacts on air quality, health and climate in China. Sci. Total Environ. 579, 1000–1034 (2017). · DOI · Paper page
  8. Yao, C. S., Chen, C. Y. & Li, M. Analysis of rural residential energy consumption and corresponding carbon emissions in China. Energy Policy 41, 445–450 (2012). · DOI
  9. Qi, T., Winchester, N., Karplus, V. J., Zhang, D. & Zhang, X. An analysis of China’s climate policy using the China-in-Global Energy Model. Econ. Model. 52, 650–660 (2016). · DOI
  10. Shi, J., Chen, W. & Yin, X. Modelling building’s decarbonization with application of China TIMES model. Appl. Energy 162, 1303–1312 (2016). · DOI
  11. Tan, X., Lai, H., Gu, B., Zeng, Y. & Li, H. Carbon emission and abatement potential outlook in China’s building sector through 2050. Energy Policy 118, 429–439 (2018). · doi:10.1016/j.enpol.2018.03.072
  12. Yang, T. et al. CO2 emissions in China’s building sector through 2050: a scenario analysis based on a bottom-up model. Energy 128, 208–223 (2017). · DOI
  13. Kim, Y. M., Kim, S. Y., Shin, S. W. & Sohn, J. Y. Contribution of natural ventilation in a double skin envelope to heating load reduction in winter. Build. Environ. 44, 2236–2244 (2009). · DOI
  14. Mohsen, M. S. & Akash, B. A. Some prospects of energy savings in buildings. Energ. Convers. Manage. 42, 1307–1315 (2001). · DOI
  15. Sadineni, S. B., Madala, S. & Boehm, R. F. Passive building energy savings: a review of building envelope components. Renew. Sust. Ener. Rev. 15, 3617–3631 (2011). · DOI · Paper page
  16. Sozer, H. Improving energy efficiency through the design of the building envelope. Build. Environ. 45, 2581–2593 (2010). · DOI
  17. Tian, Z. et al. Investigations of nearly (net) zero energy residential buildings in Beijing. Procedia Eng. 121, 1051–1057 (2015). · doi:10.1016/j.proeng.2015.09.102
  18. Saidur, R., Hasanuzzaman, M., Mahlia, T. M. I., Rahim, N. A & Mohammed, H. A. Chillers energy consumption, energy savings and emission analysis in an institutional buildings. Energy 36, 5233–5238 2011). · DOI
  19. Greenberg, S., Mills, E., Tschudi, B., Rumsey, P. & Myatt, B. Best practices for data centers: Lessons learned from benchmarking 22 data centers. in Proc. ACEEE Summer Study Energy Efficiency Build. 3, 76–87 (ACEEE, 2006).
  20. Konstantoglou, M. & Tsangrassoulis, A. Dynamic operation of daylighting and shading systems: a literature review. Renew. Sust. Ener. Rev. 60, 268–283 (2016). · DOI · Paper page
  21. Eltaweel, A. & Su, Y. H. Parametric design and daylighting: a literature review. Renew. Sust. Ener. Rev. 73, 1086–1103 (2017). · DOI
  22. Zhao, J., Zhu, N. & Wu, Y. Technology line and case analysis of heat metering and energy efficiency retrofit of existing residential buildings in northern heating areas of China. Energy Policy 37, 2106–2112 (2009). · DOI
  23. Kong, X. F., Lu, S. L. & Wu, Y. A review of building energy efficiency in China during ‘Eleventh Five-Year Plan’ period. Energy Policy 41, 624–635 (2012). · DOI
  24. Omer, A. M. Ground-source heat pumps systems and applications. Renew. Sust. Ener. Rev. 12, 344–371 (2008). · DOI
  25. Hepbasli, A. & Kalinci, Y. A review of heat pump water heating systems. Renew. Sust. Ener. Rev. 13, 1211–1229 (2009). · DOI
  26. Zhou, N. et al. China’s energy and emissions outlook to 2050: perspectives from bottom-up energy end-use model. Energy Policy 53, 51–62 (2013). · doi:10.1016/j.enpol.2012.09.065
  27. Li, H. & Qi, Y. Comparison of China’s carbon emission scenarios in 2050. Adv. Clim. Change Res. 2, 193–202 (2011). · doi:10.3724/sp.j.1248.2011.00193
  28. Gu, C. L., Guan, W. H. & Liu, H. L. Chinese urbanization 2050: SD modeling and process simulation. Sci. China Earth Sci. 60, 1067–1082 (2017). · doi:10.1007/s11430-016-9022-2
  29. Khanna, N. Z., Zhou, N., Fridley, D. & Ke, J. Quantifying the potential impacts of China’s power-sector policies on coal input and CO2 emissions through 2050: a bottom-up perspective. Util. Policy 41, 128–138 (2016). · DOI
  30. Ji, Y. B., Zhu, F. D., Li, H. X. & Al-Hussein, M. Construction industrialization in China: current profile and the prediction. Appl. Sci 7, 180 (2017). · DOI
  31. Hong, L. X. et al. Building stock dynamics and its impacts on materials and energy demand in China. Energy Policy 94, 47–55 (2016). · DOI
  32. Brambley, M. R. & Katipamula, S. Beyond Commissioning: The Role of Automation. Report PNNL-14990 (PNNL, 2005). · doi:10.2172/859994
  33. Mills, E. & Mathew, P. A. Monitoring Based Commissioning: Benchmarking Analysis of 24 UC/CSU/IOU Projects. Report LBNL-1972E (LBNL, 2009). · DOI
  34. Mills, E. Building commissioning: a golden opportunity for reducing energy costs and greenhouse gas emissions in the United States. Energy Efficiency 4, 145–173 (2011). · DOI
  35. Hamilton, S. D., Roth, K. W. & Brodrick, J. Improved duct sealing. ASHRAE J. 45, 64–65 (2003).
  36. Goetzler, W., Zogg, R., Young, J. & Schmidt, J. Energy Savings Potential and Research, Development, & Demonstration Opportunities for Residential Building Heating, Ventilation, and Air Conditioning Systems DOE/EE-0850 6121 (Navigant Consulting, 2012). · doi:10.2172/1219929
  37. Tong, Z. M., Chen, Y. J., Malkawi, A., Liu, Z. & Freeman, R. B. Energy saving potential of natural ventilation in China: the impact of ambient air pollution. Appl. Energy 179, 660–668 (2016). · DOI · Paper page
  38. Gratia, E., Bruyere, I. & De Herde, A. How to use natural ventilation to cool narrow office buildings. Build. Environ. 39, 1157–1170 (2004). · doi:10.1016/j.buildenv.2004.02.005
  39. Cardinale, N., Micucci, M. & Ruggiero, F. Analysis of energy saving using natural ventilation in a traditional Italian building. Energ. Buildings 35, 153–159 (2003). · DOI
  40. Kolokotroni, M. & Aronis, A. Cooling-energy reduction in air-conditioned offices by using night ventilation. Appl. Energy 63, 241–253 (1999). · DOI · Paper page
  41. Lewis, J. I., Fridley, D. G., Price, L. K., Lu, H. & Romankiewicz, J. P. Understanding China’s non–fossil energy targets. Science 350, 1034–1036 (2015). · doi:10.1126/science.aad1084

Cited by

See all 410

Metadata

Authors
Zhou, N., Khanna, N., Feng, W., Ke, J., & Levine, M.
Venue
Nature Energy
Published
2018-10-08
Volume
3
Issue
11
Pages
978-984
ISSN
2058-7546 (ISSN-L)
OpenAlex
W2895699068
Cited by
410
References
0
FWCI
21.13
Type
journal article
Language
en
Open access
green
Licence

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050. https://app.cochat.ai/papers/10.1038/s41560-018-0253-6
The paper
Zhou, N., Khanna, N., Feng, W., Ke, J., & Levine, M. (2018). Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050. Nature Energy. https://doi.org/10.1038/s41560-018-0253-6

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.