Operational energy contributes significantly to the most energy consumption of a building’s life cycle. Analysis of operational energy is usually conducted when a building is being operated. However, we can compare and predict the operational energy of a building’s designs to obtain the best design alternative low energy building. The objective of this study is to simulate the operational energy of the design of the Centre of Excellent (CoE) building at Universitas Pendidikan Indonesia (UPI). Rhinoceros and Grasshopper with Ladybug and Honeybee are selected as the software simulation due to the comprehensive features of energy simulation. This modern building will be constructed for five floors with an area of about 5000 m2 per level facing south and north sides. Analysis of operational energy calculated three main factors of cooling, lighting, and other equipment. The result shows that the annual operational energy contributes to about 586 kWh/m2 per year. This value is far from the basic standard for educational building, with about 240 kWh/m2 per year from ASEAN. The cooling system of the building is recorded as the highest amount of energy use. Further, evaluating the building’s operational devices and the strategy to reduce the energy loads will be proposed to accommodate a modern school building’s main issue that harms operating energy.
Changing the function of a building can have an impact on the lighting required for the installation. This research aims to simulate and compare the need for optimal natural lighting and reduce artificial lighting in a building that functions as a Sports Hall. PLN Sports hall will be redeveloped into the PLN Convention Center Building in Soekarno Hatta Bandung. WWR is a suggestion for optimization without changing the structure and architectural aspects of the building. The analysis is based on lighting and shadow from the Energy Plus Weather File, and then these parameters are processed using honeybee to create more precise WWR variables. Lighting analysis is simulated with two building functions: namely the variable time and different ranges, following the Illumination Standards by IES and SNI. This study’s results are divided into four simulations and three various iterations where the existing conditions have an area below 300 lux as much as 93.45%. For natural lighting below 300 lux, it is 60.94%. With the placement of openings based on optimum radiation analysis, artificially below 300 lux is 2.3% (already enter the category of adequate - well lit) and a combination of under 300 lux by 0.30%. The existing conditions are categorized as underlit, iteration 1 is adequate, and iteration 2 and 3 are in the well-lit category.
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