Optimization of Energy Efficiency and Conservation in Green Building Design Using Duelist, Killer-Whale and Rain-Water Algorithms

International Conference of Applied Science and Technology for Infrastructure Engineering

土木建筑工程;材料科学

Biyanto, T.R.^1 ; Matradji^1 ; Syamsi, M.N.^1 ; Fibrianto, H.Y.^2 ; Afdanny, N.^1 ; Rahman, A.H.^1 ; Gunawan, K.S.^1 ; Pratama, J.A.D.^1 ; Malwindasari, A.^1 ; Abdillah, A.I.^1 ; Bethiana, T.N.^1 ; Putra, Y.A.^1

Department of Engineering Physics, Institut Teknologi Sepuluh Nopember Surabaya, Surabaya East-Java

60111, Indonesia^1

Department of Industrial Engineering, Pusan National University, Korea, Republic of^2

关键词: CO2 emission reduction;    Energy efficiency and conservations;    Global optimization techniques;    Green buildings;    Killer whale;    Mixed-integer nonlinear programming;    Rain water;    Stochastic optimization algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/267/1/012036/pdf
DOI  :  10.1088/1757-899X/267/1/012036

来源: IOP

【 摘 要 】

The development of green building has been growing in both design and quality. The development of green building was limited by the issue of expensive investment. Actually, green building can reduce the energy usage inside the building especially in utilization of cooling system. External load plays major role in reducing the usage of cooling system. External load is affected by type of wall sheathing, glass and roof. The proper selection of wall, type of glass and roof material are very important to reduce external load. Hence, the optimization of energy efficiency and conservation in green building design is required. Since this optimization consist of integer and non-linear equations, this problem falls into Mixed-Integer-Non-Linear-Programming (MINLP) that required global optimization technique such as stochastic optimization algorithms. In this paper the optimized variables i.e. type of glass and roof were chosen using Duelist, Killer-Whale and Rain-Water Algorithms to obtain the optimum energy and considering the minimal investment. The optimization results exhibited the single glass Planibel-G with the 3.2 mm thickness and glass wool insulation provided maximum ROI of 36.8486%, EUI reduction of 54 kWh/m2•year, CO2emission reduction of 486.8971 tons/year and reduce investment of 4,078,905,465 IDR.