Energy Consumption Control with Zero Energy Approach for a Building Model

محورهای موضوعی : Electrical Engineering

Rasoul Moradimehr ¹ , Esmaeil Alibeiki ² , Seyyed Mostafa Ghadami ³

1 - Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
2 - Department of Electrical Engineering,Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul
3 - Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul ,Iran

تاریخ دریافت : 1402/03/28 تاریخ پذیرش : 1402/09/16 تاریخ انتشار : 1402/09/10

کلید واژه: energy consumption, Building energy management, Genetic method,

چکیده مقاله :

Abstract - Based on the study of the theoretical foundations of the research, it is determined that so far there is no detailed study on heating and cooling energy related to zero-energy buildings in the recent research based on energy waste in buildings. Therefore, in this article, by simulating commercial buildings and simulating the correct materials and strategies in the heating and cooling system, as well as investigating the insulation of buildings, we will study the effect of zero-energy building materials on energy wastage to model the temperature variations in building and control to achieve desire value. This article, taking into account the effects of heat transfer through building walls, the energy consumption model, and by genetic algorithm model predictive control (MPC) method optimizes the indoor temperature of the building. For this purpose, the genetic algorithm is used to determine the best control input in the form of building heating. The simulation of this process has been done in MATLAB software and the method of modeling heat loss and temperature change outputs shows that the proposed method has a good performance. The maximum of overshoot of the temperature is %4 and the cost function of GA algorithm is 165 based of minimum control effort and temperature error.

چکیده انگلیسی:

Abstract - Based on the study of the theoretical foundations of the research, it is determined that so far there is no detailed study on heating and cooling energy related to zero-energy buildings in the recent research based on energy waste in buildings. Therefore, in this article, by simulating commercial buildings and simulating the correct materials and strategies in the heating and cooling system, as well as investigating the insulation of buildings, we will study the effect of zero-energy building materials on energy wastage to model the temperature variations in building and control to achieve desire value. This article, taking into account the effects of heat transfer through building walls, the energy consumption model, and by genetic algorithm model predictive control (MPC) method optimizes the indoor temperature of the building. For this purpose, the genetic algorithm is used to determine the best control input in the form of building heating. The simulation of this process has been done in MATLAB software and the method of modeling heat loss and temperature change outputs shows that the proposed method has a good performance. The maximum of overshoot of the temperature is %4 and the cost function of GA algorithm is 165 based of minimum control effort and temperature error.

منابع و مأخذ:

1. Abbasi, S., &Noorzai, E. (2021). The BIM-Based multi-optimization approach in order to determine the trade-off between embodied and operation energy focused on renewable energy use. Journal of Cleaner Production, 281, 125359.


2. Ahankoob, A.; Khoshnava, S.M.; Rostami, R.; Preece, C., (2012), “BIM perspectives on construction waste reduction. In Proceedings of the Management in Construction Research Association (MiCRA)” Postgraduate Conference, Kuala Lumpur, Malaysia, 5–6; pp. 195–199.


3. Alazar, S., Guillermo F., Polat, Ismail H., Almeida, Joao C., (2003), “The Role of the Parametric Building Model in the Future Education and Practice of Civil Engineering and Construction“Proceedings of the ASCE IV Joint International Symposium on Information Technology Nashville, TN, November 15-16.


4. Bosch, P., A. Isaksson, M. Lennartsson, and H. C. Linderoth. (2017). “Barriers and facilitators for BIM use among Swedish mediumsized contractors: ‘We wait until someone tells us to use it’.” Visual. Eng. 5 (1): 3.


5. Chong, H. Y., S. L. Fan, M. Sutrisna, S. H. Hsieh, and C. M. Tsai. 2017. “Preliminary contractual framework for BIM-enabled projects.”J. Constr. Eng. Manage. 143 (7): 04017025.


6. Hwang, B. G., X. Zhao, and K. W. Yang. (2019). “Effect of BIM on rework in construction projects in Singapore status quo, magnitude, impact, and strategies.” J. Constr. Eng. Manage. 145 (2): 04018125.


7. Kim, S.; Chang, S.; Castro-Lacouture, D., (2020), “Dynamic Modeling for Analyzing Impacts of Skilled Labor Shortage
   on Construction Project Management.” Manag. Eng, 36, 04019035.


8. Jamil, A. H., Fathi, M. S. (2018). “Contractual challenges for BIMbased construction projects: A systematic review.” Built Environ.Project Asset Manage. 8 (4): 372–385.


9. Miettinen, R., H. Kerosuo, T. Metsälä, and S. Paavola. (2018). “Bridging the life cycle: A case study on facility management infrastructures and use of BIM.” J. Facil. Manage. 16 (1): 2–16.


10. Motawa, I.; Almarshad, A., (2013), “A knowledge-based BIM system for building maintenance.” Constr, 29,173–182.


11. Rajendran, P.; Gomez, C.P., (2012), “Implementing BIM for waste minimization in the construction industry: A literature review.” In Proceedings of the 2nd International Conference on Management, Langkawi Kedah, Malaysia, pp. 557–570.


12. Robyn, S. (2005). "Broadband videoconferencing as a tool for learner-centred distance learning in higher education". British Journal of Educational Technology.


13. Russell, A.D., Udaipurwala, A., (2000), “Assessing the quality of a construction schedule,” Proc. Construction Congress VI: Building Together for a Better Tomorrow in an Increasingly Complex World, ASCE, Orlando, FL, USA, pp. 928–937.


14. Sun, M., Sexton, M., Aouad, G.,(2004 ), managing changes in construction projects ,the Engineering and Physical Sciences Research Council ( EPSRC)


15. Won, J.; Cheng, J.C.P.; Lee, G., (2016), “Quantification of construction waste prevented by BIM-based design validation: Case studies in South Korea.” Waste Manag, 49, 170–180.