Analysis of measures to improve energy performance of a commercial building by energy modeling

K. Raviraj, Nidhi Gupta, Harshendra N. Shet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The commercial building sector accounts for 15% of the electricity demand and is set increase three fold by the year 2030 [1]. This increase in demand coupled with rising energy cost and increased green house emissions offer not only challenges but also opportunities to employ energy efficient design practices. This paper investigates the methods to reduce the energy consumption of a commercial building by incorporating energy conservation techniques in the design stage of the building. By comparing the design buildings energy use with a baseline building, a percentage estimate of the energy savings can be obtained. Energy modeling tool eQuest is used to model these energy conservation techniques in the building and to predict the energy savings. A comparative analysis of different energy conservation techniques is made to estimate the reduction in energy use.

Original languageEnglish
Title of host publicationProceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509045563
DOIs
Publication statusPublished - 01-05-2017
Externally publishedYes
Event2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016 - Coimbatore, India
Duration: 19-11-2016 → …

Conference

Conference2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016
CountryIndia
CityCoimbatore
Period19-11-16 → …

Fingerprint

energy conservation
Energy conservation
energy use
modeling
energy
architectural design
electricity
fold
cost
Energy utilization
Electricity
analysis
demand
energy saving
Costs

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Environmental Science (miscellaneous)

Cite this

Raviraj, K., Gupta, N., & Shet, H. N. (2017). Analysis of measures to improve energy performance of a commercial building by energy modeling. In Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016 [7916806] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GET.2016.7916806
Raviraj, K. ; Gupta, Nidhi ; Shet, Harshendra N. / Analysis of measures to improve energy performance of a commercial building by energy modeling. Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016. Institute of Electrical and Electronics Engineers Inc., 2017.
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Raviraj, K, Gupta, N & Shet, HN 2017, Analysis of measures to improve energy performance of a commercial building by energy modeling. in Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016., 7916806, Institute of Electrical and Electronics Engineers Inc., 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016, Coimbatore, India, 19-11-16. https://doi.org/10.1109/GET.2016.7916806

Analysis of measures to improve energy performance of a commercial building by energy modeling. / Raviraj, K.; Gupta, Nidhi; Shet, Harshendra N.

Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7916806.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Raviraj K, Gupta N, Shet HN. Analysis of measures to improve energy performance of a commercial building by energy modeling. In Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7916806 https://doi.org/10.1109/GET.2016.7916806