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A modelling applied to active renewable energy for an existing building of higher educational institution

Author

Listed:
  • Tanmoy Chakraborty

    (Techno Main Salt Lake)

  • Payel Ghosh

    (Raidighi College)

  • Satadal Mal

    (Future Institute of Technology)

  • Utpal Biswas

    (University of Kalyani)

Abstract

Adoption of renewable energy becomes essential for the sake of energy security, increasing crisis of non renewable energy, climate change etc. Global warming, exhaustion and high cost of fossil fuels dictates the practise of alternative sources of energy such as wind and solar energies. In India also, government is aiming to increase use of renewable energy. Industrial sector, domestic sector like multi-storied building, office, hospital, educational institution are the appropriate places to implement the use of renewable energy. A proper calculation of total energy consumption and subsequently, estimation of required solar energy is the first step towards installation of solar system in any place. A mathematical model has been developed in this paper to calculate energy consumption depending on different types of electronic gadgets. The estimation of total energy consumption helps to manage daily energy demand using smart energy. A case study on higher education institution is used here for better explanation of smart energy management system with proper estimation of energy consumption.

Suggested Citation

  • Tanmoy Chakraborty & Payel Ghosh & Satadal Mal & Utpal Biswas, 2019. "A modelling applied to active renewable energy for an existing building of higher educational institution," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1361-1368, October.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:5:d:10.1007_s13198-019-00890-x
    DOI: 10.1007/s13198-019-00890-x
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    References listed on IDEAS

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    1. Hamid R. Khosravani & María Del Mar Castilla & Manuel Berenguel & Antonio E. Ruano & Pedro M. Ferreira, 2016. "A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building," Energies, MDPI, vol. 9(1), pages 1-24, January.
    2. Si, Pengfei & Feng, Ya & Lv, Yuexia & Rong, Xiangyang & Pan, Yungang & Liu, Xichen & Yan, Jinyue, 2017. "An optimization method applied to active solar energy systems for buildings in cold plateau areas – The case of Lhasa," Applied Energy, Elsevier, vol. 194(C), pages 487-498.
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    Cited by:

    1. Sampath Kumar Vankadara & Shamik Chatterjee & Praveen Kumar Balachandran, 2022. "An accurate analytical modeling of solar photovoltaic system considering Rs and Rsh under partial shaded condition," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2472-2481, October.

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