Email this article Energy Efficient Design for G+3 Residential Building (Duplex type) Using BIM Tools
Abstract
G+3 residential duplex buildings constructed through BIM modeling resulted from an advanced design process and technology advancement as a result of increasing market demand on sustainable buildings. With this technology, designers can also carry out building performance simulation at very accurate modeling during early design phases to optimize energy utilization and occupants' satisfaction. An analysis is undertaken that combines passive design strategies with natural ventilation employing specific enhanced glazings and renewables and heating ventilation and air conditioning systems upgrades integrated with building orientation and shade surfaces for site-specific passive building shell design and use with possible alternative measures of energy conservation. Assembled Autodesk Revit and Insight 360 provide energy modeling and daylight analysis to meet the lifecycle assessment functionalities required for LEED or IGBC green building standards and their requirements. These integrated strategies allow a primary reduce of building energy consumption by 35% and support the future development of net-zero power operation systems through solar power systems. Sustainable residential projects could be accurately built by stakeholders through BIM tools while ensuring the success of projects. The research presents a cheap method of carrying out sustainable housing design that goes with technological innovations that are urban expansion solutions and climate change adaptation methods.
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References
(May 2023). Suicide Rates for Girls Are Rising. Are Smartphones to Blame? [Online]. Available: https://www.economist.com/graphic-detail/ 2023/05/03/suicide-rates-for-girls-are-rising-are-smartphones-to-blame
J. Adam-Troian and T. Arciszewski, ‘‘Absolutist words from search volume data predict state-level suicide rates in the United States,’’ Clin. Psychol. Sci., vol. 8, no. 4, pp. 788–793, Jul. 2020.
A. E. Aiello, A. Renson, and P. Zivich, ‘‘Social media-and Internet-based disease surveillance for public health,’’ Annu. Rev. Public Health, vol. 41, p. 101, Apr. 2020.
M. Akyuz and C. Karul, ‘‘The effect of economic factors on suicide: An analysis of a developing country,’’ Int. J. Hum. Rights Healthcare, Jul. 2022.
S. Z. Alavijeh, F. Zarrinkalam, Z. Noorian, A. Mehrpour, and K. Etminani, ‘‘What users’ musical preference on Twitter reveals about psychological disorders,’’ Inf. Process. Manage., vol. 60, no. 3, May 2023, Art. no. 103269.
A. Aldayel and W. Magdy, ‘‘Stance detection on social media: State of the art and trends,’’ Inf. Process. Manage., vol. 58, no. 4, Jul. 2021, Art. no. 102597.
P. Angelov and A. Sperduti, ‘‘Challenges in deep learning,’’ in Proc. 24th Eur. Symp. Artif. Neural Netw. (ESANN), 2016, pp. 489–496.
A. Apisarnthanarak, P. Apisarnthanarak, C. Siripraparat, P. Saengaram, N. Leeprechanon, and D. J. Weber, ‘‘Impact of anxiety and fear for COVID-19 toward infection control practices among Thai healthcare workers,’’ Infection Control Hospital Epidemiol., vol. 41, no. 9, pp. 1093–1094, Sep. 2020.
S. Arunpongpaisal, S. Assanagkornchai, V. Chongsuvivatwong, and N. Jampathong, ‘‘Time-series analysis of trends in the incidence rates of successful and attempted suicides in Thailand in 2013–2019 and their predictors,’’ BMC Psychiatry, vol. 22, no. 1, pp. 1–11, Aug. 2022.
J. M. Barros, R. Melia, K. Francis, J. Bogue, M. O’Sullivan, K. Young, R. A. Bernert, D. Rebholz-Schuhmann, and J. Duggan, ‘‘The validity of Google trends search volumes for behavioral forecasting of national suicide rates in Ireland,’’ Int. J. Environ. Res. Public Health, vol. 16, no. 17, p. 3201, Sep. 2019.
B. E. Belsher, D. J. Smolenski, L. D. Pruitt, N. E. Bush, E. H. Beech, D. E. Workman, R. L. Morgan, D. P. Evatt, J. Tucker, and N. A. Skopp, ‘‘Prediction models for suicide attempts and deaths: A systematic review and simulation,’’ JAMA Psychiatry, vol. 76, no. 6, pp. 642–651, 2019.
L. Braghieri, R. Levy, and A. Makarin, ‘‘Social media and mental health,’’ Amer. Econ. Rev., vol. 112, no. 11, pp. 3660–3693, 2022.
R. G. Brereton and G. R. Lloyd, ‘‘Support vector machines for classification and regression,’’ Analyst, vol. 135, no. 2, pp. 230–267, 2010.
J. A. Bridge, M. Olfson, J. M. Caterino, S. W. Cullen, A. Diana, M. Frankel, and S. C. Marcus, ‘‘Emergency department management of deliberate selfharm: A national survey,’’ JAMA Psychiatry, vol. 76, no. 6, pp. 652–654, 2019.
L. Cao, H. Zhang, and L. Feng, ‘‘Building and using personal knowledge graph to improve suicidal ideation detection on social media,’’ IEEE Trans. Multimedia, vol. 24, pp. 87–102, 2022.
M. K. Y. Chan, H. Bhatti, N. Meader, S. Stockton, J. Evans, R. C. O’Connor, N. Kapur, and T. Kendall, ‘‘Predicting suicide following self-harm: Systematic review of risk factors and risk scales,’’ Brit. J. Psychiatry, vol. 209, no. 4, pp. 277–283, Oct. 2016.
Y. S. Chang and J. Lee, ‘‘Is forecasting future suicide rate possible?— Application of experience curve,’’ Eng. Manag. Res., vol. 1, no. 1, p. 10, 2012.
T. Chen, T. He, M. Benesty, V. Khotilovich, Y. Tang, and H. Cho, ‘‘XGBoost: Extreme gradient boosting,’’ R Package Version 0.4-2, Microsoft, Tech. Rep., 2015, pp. 1–4, vol. 1, no. 4.
R. Cholakov and T. Kolev, ‘‘TheGatedTabTransformer. An enhanced deep learning architecture for tabular modeling,’’ 2022, arXiv:2201.00199.
D. Demszky, D. Movshovitz-Attias, J. Ko, A. Cowen, G. Nemade, and S. Ravi, ‘‘GoEmotions: A dataset of fine-grained emotions,’’ in Proc. 58th Annu. Meeting Assoc. Comput. Linguistics, Jul. 2020, pp. 4040–4054. [Online]. Available: https://aclanthology.org/2020.aclmain.372, doi: 10.18653/v1/2020.acl-main.372.
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