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Optimization of Energy Efficiency and Conservation in Green Building Design Using Duelist, Killer-Whale and Rain-Water Algorithms
Author(s) -
Totok R. Biyanto,
Matradji,
M N Syamsi,
Henokh Yernias Fibrianto,
Naindar Afdanny,
Ahmad H. Rahman,
Kevin Sanjoyo Gunawan,
Januar Ananta Dinar Pratama,
A Malwindasari,
Arfiq I. Abdillah,
Titania N. Bethiana,
Yudha Anugerah Putra
Publication year - 2017
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/267/1/012036
Subject(s) - efficient energy use , integer programming , roof , energy conservation , mathematical optimization , linear programming , investment (military) , environmental science , reduction (mathematics) , computer science , algorithm , engineering , civil engineering , mathematics , electrical engineering , geometry , politics , law , political science
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/m 2 ·year, CO 2 emission reduction of 486.8971 tons/year and reduce investment of 4,078,905,465 IDR.

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