Day-light Analysis of an office building to enhance its energy efficiency
Author(s): |
Kavyaa Senthilkumar
Gulshan Taj |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | IOP Conference Series: Materials Science and Engineering, 1 November 2020, n. 1, v. 955 |
Page(s): | 012018 |
DOI: | 10.1088/1757-899x/955/1/012018 |
Abstract: |
Sustainability has become increasingly significant in the construction industry in recent few years. The structure is considerably liable for 33% of energy consumption for cooling and counterfeit day lighting alone. In this way, energy consumption is a significant rule that needs extraordinary consideration while thinking about feasible structures. Understanding the circumstance, the need of the day is to adopt sustainable green building design approach which is a definitive answer for decrease the energy demand request of the structure. Various alternate energy sources like solar, wind and geothermal energies end up being better in making an energy efficient built environment; alongside these rules successful usage of daylight plays a crucial role in creating energy efficient buildings. Ecotect day light simulation analysis is one such case which briefs up the concept of energy efficiency. This Software has been utilized to calculate building’s energy consumption by simulating its setting within the environment. It shows the sun path and shadow examination of a project or a structure on a specific day, time and spot consistently, which would support the specialists and architects/designers to go for elective designs for viable utilization of day light in development extends, this could before long become a vital piece of building and engineering plan for vitality proficient structures. This paper surveys and analyses of an office building and gives data about the day-light analyze simulation of a structure for accomplishing the best effectiveness of natural lighting and energy saving during the daytime to reach optimum daylight performance in building using the Ecotect Software. |
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data sheet - Reference-ID
10674979 - Published on:
03/06/2022 - Last updated on:
03/06/2022