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

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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.

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Abbreviations

HVAC:

Heating ventilation air conditioning

ECBC:

Energy conservation building codes

ASHRAE:

American society of heating, refrigerating and air conditioning engineers

DMAIC:

Define, measure, analyse, improve, and control

EIA:

Environmental impact agency

BEE:

Bureau of energy efficiency

MPC:

Model predictive control

GA:

Genetic algorithm

NSGA-II:

Non dominated sorting genetic algorithm

PPD:

Predicted percentage of dissatisfied

DB:

Design builder

KWh:

Kilo Watt hour

EPI:

Energy performance index

BAS:

Building automation system

MOO:

Multiple objective optimisation

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Acknowledgements

The authors would like to thank RICS school of built environment, Mumbai, for providing the opportunity to work on this project.

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Authors and Affiliations

  1. School of Construction, RICS School of Built Environment, Amity University, 410206, Mumbai, India

    Shivani Senthilkumar & Vignesh Ayyathurai

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  1. Shivani Senthilkumar
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  2. Vignesh Ayyathurai
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Contributions

SS have analysed the energy simulation and optmisation of Non sorted Genetic Algorithm-II. VA has supervised the analysis of energy simulation and optmisation of Non sorted Genetic Algorithm-II. All authors read and approved the final manuscript.

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Correspondence to Shivani Senthilkumar.

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The authors declare they have no relevant financial or non-financial competing interests to report.

Geolocation information

The location of the study is Nagapattinam, Tamil Nadu, India. The latitude and Longitude of the location are 10.64 and 79.51, respectively.

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Senthilkumar, S., Ayyathurai, V. Energy efficiency management and setpoints optimisation strategy in retail store building, India. J Build Rehabil 7, 99 (2022). https://doi.org/10.1007/s41024-022-00238-2

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