The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Towards adoption of building energy simulation and optimization for passive building design: A survey and a review
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Citations
Cites
EnergyPlus: creating a new-generation building energy simulation program
Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., Pedersen, C. O., Strand, R. K., Liesen, R. J., Fisher, D. E., Witte, M. J., et al. (2001) · Energy and Buildings · doi:10.1016/s0378-7788(00)00114-6 · Cited by 2,822
Hayward, G. (1984) · Technovation · doi:10.1016/0166-4972(84)90018-x · Cited by 2,715
Optimization methods applied to renewable and sustainable energy: A review
Baños, R., Manzano-Agugliaro, F., Montoya, F. G., Gil, C., Alcayde, A., & Gómez, J. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.12.008 · Cited by 1,646
Passive building energy savings: A review of building envelope components
Sadineni, S. B., Madala, S., & Boehm, R. F. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2011.07.014 · Cited by 1,427
A review on simulation-based optimization methods applied to building performance analysis
Nguyen, A.-T., Reiter, S., & Rigo, P. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.08.061 · Cited by 1,379
A review of sensitivity analysis methods in building energy analysis
Tian, W. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.12.014 · Cited by 977
A review of computational optimisation methods applied to sustainable building design
Evins, R. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.02.004 · Cited by 777
Applying multi-objective genetic algorithms in green building design optimization
Wang, W., Zmeureanu, R., & Rivard, H. (2005) · Building and Environment · doi:10.1016/j.buildenv.2004.11.017 · Cited by 726
Magnier, L., & Haghighat, F. (2010) · Building and Environment · doi:10.1016/j.buildenv.2009.08.016 · Cited by 725
Algorithms for optimization of building design: A review
Machairas, V., Tsangrassoulis, A., & Axarli, K. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.11.036 · Cited by 605
Cited by
Tushar, Q., Bhuiyan, M. A., Zhang, G., & Maqsood, T. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125622 · Cited by 152
Metadata
- Authors
- Tian, Z., Zhang, X., Jin, X., Zhou, X., Si, B., & Shi, X.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 158
- Pages
- 1306-1316
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2769323290
- Cited by
- 257
- References
- 62
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Towards adoption of building energy simulation and optimization for passive building design: A survey and a review. https://app.cochat.ai/papers/10.1016/j.enbuild.2017.11.022
- The paper
- Tian, Z., Zhang, X., Jin, X., Zhou, X., Si, B., & Shi, X. (2018). Towards adoption of building energy simulation and optimization for passive building design: A survey and a review. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2017.11.022
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.
