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Advances in Concrete Construction Volume 11, Number 6, June 2021 , pages 455-468 DOI: https://doi.org/10.12989/acc.2021.11.6.455 |
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On the optimization of building energy, material, and economic management using soft computing |
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Zhao Wei, Yousef Zandi, Morteza Gholizadeh, Abdellatif Selmi, Angel Roco-Videla and Usama Konbr
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| Abstract | ||
| This paper provides energy and economic analysis relevant to the cooling season in building enclosures. For a whole year, an Energy Plus thermal transfer model has been created and simulated. Simulations were made from the cities in five different areas of climate in China using weather data files. Energy savings were done from natural cold (e.g., outdoor air), and electricity reductions were performed from air-conditioning electricity devices. This research has investigated the relationship between the cost and building energy while finding a strong and positive correlation. This study has used the Artificial Intelligence (AI) model as Extreme Learning Machine (ELM) and Teaching Learning Based Optimization (TLBO) to calculate the accurate measurement. Three regression models as Pearson correlation coefficient (r), root mean square (RMSE), and coefficient of determination (R2) was used to calculate the results. Following the results of (R2) and RMSE, ELM has shown its higher performance in predicting the strength, energy, and cost of building materials. Based on the simulation results, for office buildings situated in cold areas, the energy savings resulting from phase change materials (PCM) are more prevalent. The test findings demonstrate that the energy savings from PCM applications for the cool area and hot summers and cold winter office buildings were increased. Simple payback time indicated that PCMBs in inhabited buildings could be used costeffectively in a mild temperature environment. | ||
| Key Words | ||
| sustainability; building energy optimization; economic management; soft computing | ||
| Address | ||
| Zhao Wei: School of Management, Wuhan Polytechnic University, 430023 Wuhan, China Yousef Zandi: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran Morteza Gholizadeh: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran Abdellatif Selmi: Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; Ecole Nationale d'Ingénieurs deTunis (ENIT), Civil Engineering Laboratory, B.P. 37, Le belvédère1002, Tunis, Tunisia Angel Roco-Videla: Programa Magister en Ciencias Químico-biológicas, Facultad de Ciencias de la Salud, Universidad Bernardo O'Higgins, Santiago, Chile; Departamento de Ingeniería Civil, Facultad de Ingeniería, Universidad Católica de la Santísima Concepción, Concepción, Chile Usama Konbr: Department of Architecture, Faculty of Engineering, Tanta University, Egypt | ||
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