Abstract
Building energy modeling is essential to estimate energy consumption of buildings. Predicting building energy consumption benefits the owners, designers, and facility managers by enabling them to have an overview of building energy consumption and can help them to determine building energy performance during the design phase. This paper focuses on two different shapes of commercial building, H and rectangle to estimate energy consumption in buildings in three different climate zones, cold, hot-humid, and mixed-humid. To address this, building simulation software including, DOE-2 and eQUEST were used to build and simulate individual commercial building configurations that were generated using Monte Carlo simulation techniques. Ten thousand simulations for each building shape and climate zone were conducted to develop a comprehensive dataset covering the full range of design parameters.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 79-83 |
| Number of pages | 5 |
| Journal | Jurnal Teknologi |
| Volume | 74 |
| Issue number | 4 |
| State | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- General Engineering
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