Near Zero Energy House (NZEH) Design Optimization to Improve Life Cycle Cost Performance Using Genetic Algorithm

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1 Citation (Scopus)

Abstract

Near Zero Energy House (NZEH) is a housing building that provides energy efficiency by using renewable energy technologies and passive house design. Currently, the costs for NZEH are quite expensive due to the high costs of the equipment and materials for solar panel, insulation, fenestration and other renewable energy technology. Therefore, a study to obtain the optimum design of a NZEH is necessary. The aim of the optimum design is achieving an economical life cycle cost performance of the NZEH. One of the optimization methods that could be utilized is Genetic Algorithm. It provides the method to obtain the optimum design based on the combinations of NZEH variable designs. This paper discusses the study to identify the optimum design of a NZEH that provides an optimum life cycle cost performance using Genetic Algorithm. In this study, an experiment through extensive design simulations of a one-level house model was conducted. As a result, the study provide the optimum design from combinations of NZEH variable designs, which are building orientation, window to wall ratio, and glazing types that would maximize the energy generated by photovoltaic panel. Hence, the design would support an optimum life cycle cost performance of the house.

Original languageEnglish
Article number012006
JournalIOP Conference Series: Earth and Environmental Science
Volume124
Issue number1
DOIs
Publication statusPublished - 5 Mar 2018
Event2nd International Conference on Regional Science, Infrastructure Technology and Regional Development, ICoSITeR 2016 - South Lampung, Indonesia
Duration: 25 Aug 201726 Aug 2017

Keywords

  • Genetic Algorithm
  • Life Cycle Cost
  • Near Zero Energy House
  • Optimum Design

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