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The Energy Savings and Environmental Benefits for Small and Medium Enterprises by Cloud Energy Management System

Author

Listed:
  • Yen-Chieh Tseng

    (Graduate Institute of Environmental Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • DaSheng Lee

    (Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao E. Rd., Taipei 10608, Taiwan)

  • Cheng-Fang Lin

    (Graduate Institute of Environmental Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

  • Ching-Yuan Chang

    (Graduate Institute of Environmental Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan)

Abstract

Small and medium enterprises (SMES) play an important role in Taiwan’s economy. The reduction of energy costs and carbon dioxide (CO 2 ) emissions are critical to preserving the environment. This paper uses the experimental results from 65 sites, gathered over two years since 2012, to determine how the integration of Internet communication, cloud computing technologies and a cloud energy management service (cloud EMS) can reduce energy consumption by cost-effective means. The EMS has three levels: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Working jointly with ChungHwa Telecom, Taiwan’s leading telecom service provider, data from detection devices, control devices, air-conditioning and lighting systems are all uploaded to a cloud EMS platform, to give a so called intelligent energy management network application service platform (IEN-ASP). Various energy saving management functions are developed using this platform: (1) air conditioning optimization; (2) lighting system optimization; (3) scheduling control; (4) power billing control and (5) occupancy detection and timing control. Using the international performance measurement and verification protocol (IPMVP), the energy used at the test sites, before and after the use of the IEN-ASP, are compared to calculate the energy saved. The experimental results show that there is an average energy saving of 5724 kWh per year, which represents a saving ratio of 5.84%. This translates to a total reduction in CO 2 emissions of 9,926,829 kg per year. Using the data collected, a regression model is used to demonstrate the correlation between the power that is consumed, the energy that is saved and the area of the sites. Another interesting result is that, if the experimental sites are maintained by experienced electricians or other personnel and EMS protocols are followed, the energy saving can be as great as 6.59%.

Suggested Citation

  • Yen-Chieh Tseng & DaSheng Lee & Cheng-Fang Lin & Ching-Yuan Chang, 2016. "The Energy Savings and Environmental Benefits for Small and Medium Enterprises by Cloud Energy Management System," Sustainability, MDPI, vol. 8(6), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:6:p:531-:d:71391
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    References listed on IDEAS

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    1. Rudberg, Martin & Waldemarsson, Martin & Lidestam, Helene, 2013. "Strategic perspectives on energy management: A case study in the process industry," Applied Energy, Elsevier, vol. 104(C), pages 487-496.
    2. Chin-Chi Cheng & Dasheng Lee & Ching Hung Wang & Shu Fen Lin & Hung-Peng Chang & Shang-Te Fang, 2015. "The Development of Cloud Energy Management," Energies, MDPI, vol. 8(5), pages 1-21, May.
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    1. David Rodriguez-Rosa & Ismael Payo-Gutierrez & Fernando J. Castillo-Garcia & Antonio Gonzalez-Rodriguez & Sergio Perez-Juarez, 2017. "Improving Energy Efficiency of an Autonomous Bicycle with Adaptive Controller Design," Sustainability, MDPI, vol. 9(5), pages 1-16, May.
    2. Junhu Ruan & Felix T. S. Chan & Fangwei Zhu & Xuping Wang & Jing Yang, 2016. "A Visualization Review of Cloud Computing Algorithms in the Last Decade," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    3. Rishang Long & Jian Liu & Chunliang Lu & Jiaqi Shi & Jianhua Zhang, 2017. "Coordinated Optimal Operation Method of the Regional Energy Internet," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    4. Stavros Gennitsaris & Miguel Castro Oliveira & George Vris & Antonis Bofilios & Theodora Ntinou & Ana Rita Frutuoso & Catarina Queiroga & John Giannatsis & Stella Sofianopoulou & Vassilis Dedoussis, 2023. "Energy Efficiency Management in Small and Medium-Sized Enterprises: Current Situation, Case Studies and Best Practices," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    5. Jeong-Hee Eum & Kwon Kim & Eung-Ho Jung & Paikho Rho, 2018. "Evaluation and Utilization of Thermal Environment Associated with Policy: A Case Study of Daegu Metropolitan City in South Korea," Sustainability, MDPI, vol. 10(4), pages 1-20, April.

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