TY - JOUR
T1 - Near Zero Energy House (NZEH) Design Optimization to Improve Life Cycle Cost Performance Using Genetic Algorithm
AU - Latief, Y.
AU - Berawi, M. A.
AU - Koesalamwardi, A. B.
AU - Supriadi, L. S.R.
N1 - Funding Information:
The authors would like to acknowledge Research Grant from Ministry of Research, Technology and Higher Education Republic of Indonesia (Kemenristekdikti) for the funding support of the research project (Hibah Penelitian Unggulan Perguruan Tinggi 2017).
Publisher Copyright:
© 2018 Institute of Physics Publishing. All rights reserved.
PY - 2018/3/5
Y1 - 2018/3/5
N2 - 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.
AB - 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.
KW - Genetic Algorithm
KW - Life Cycle Cost
KW - Near Zero Energy House
KW - Optimum Design
UR - http://www.scopus.com/inward/record.url?scp=85044505284&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/124/1/012006
DO - 10.1088/1755-1315/124/1/012006
M3 - Conference article
AN - SCOPUS:85044505284
SN - 1755-1307
VL - 124
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012006
T2 - 2nd International Conference on Regional Science, Infrastructure Technology and Regional Development, ICoSITeR 2016
Y2 - 25 August 2017 through 26 August 2017
ER -