Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Energy efficiency management and setpoints optimisation strategy in retail store building, India

Energy efficiency management and setpoints optimisation strategy in retail store building, India India’s electricity demand has increased rapidly, and it is expected to rise in further years, mainly in the commercial sector due to urbanisation and economic growth. So, there is an urgent need to manage energy in the commercial buildings of India. This study investigates the use of six-sigma methodology in energy efficiency management in a retail space located in Tamilnadu, India, along with simulation and optimisation using Non sorted genetic algorithm-II. Simulation and optimisation are performed using designbuilder and energy plus tools. The energy consumption in the building is analysed using the Six Sigma approach, which helps to identify the root cause of the energy issue in the building. The energy consumption is controlled using the strategy of setpoints of Air conditioner. The Non-sorted genetic algorithm-II is performed to reduce energy consumption and total discomfort hours, which produce optimum setpoints and setback points. The top three optimum solutions are discussed. The results show 19.6%, 19.2% and 16.4% of energy reduction in the building compared to the baseline model. The results have also highlighted that energy consumption can be managed in a retail store building with the help of an efficient six sigma process and zero-cost strategies like setpoints. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Building Pathology and Rehabilitation Springer Journals

Energy efficiency management and setpoints optimisation strategy in retail store building, India

Download PDF
20 pages

Loading next page...
 
/lp/springer-journals/energy-efficiency-management-and-setpoints-optimisation-strategy-in-XfA00blOUI

References (68)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2365-3159
eISSN
2365-3167
DOI
10.1007/s41024-022-00238-2
Publisher site
See Article on Publisher Site

Abstract

India’s electricity demand has increased rapidly, and it is expected to rise in further years, mainly in the commercial sector due to urbanisation and economic growth. So, there is an urgent need to manage energy in the commercial buildings of India. This study investigates the use of six-sigma methodology in energy efficiency management in a retail space located in Tamilnadu, India, along with simulation and optimisation using Non sorted genetic algorithm-II. Simulation and optimisation are performed using designbuilder and energy plus tools. The energy consumption in the building is analysed using the Six Sigma approach, which helps to identify the root cause of the energy issue in the building. The energy consumption is controlled using the strategy of setpoints of Air conditioner. The Non-sorted genetic algorithm-II is performed to reduce energy consumption and total discomfort hours, which produce optimum setpoints and setback points. The top three optimum solutions are discussed. The results show 19.6%, 19.2% and 16.4% of energy reduction in the building compared to the baseline model. The results have also highlighted that energy consumption can be managed in a retail store building with the help of an efficient six sigma process and zero-cost strategies like setpoints.

Journal

Journal of Building Pathology and Rehabilitation – Springer Journals

Published: Dec 1, 2022

Keywords: Energy efficiency; Energy management; Six-sigma process; Genetic algorithm; Simulation-based optimisation

There are no references for this article.