The Energy Savings and Environmental Benefits for Small and Medium Enterprises by Cloud Energy Management System
| Autor: | Ching-Yuan Chang, Yen-Chieh Tseng, Cheng-Fang Lin, Dasheng Lee |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Energy management 020209 energy Geography Planning and Development TJ807-830 Cloud computing 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law TD194-195 computer.software_genre 01 natural sciences Renewable energy sources IPMVP 0202 electrical engineering electronic engineering information engineering effect of energy savings cloud energy management service (cloud EMS) IaaS PaaS SaaS GE1-350 Operations management Performance measurement 0105 earth and related environmental sciences Service (business) Environmental effects of industries and plants Database Renewable Energy Sustainability and the Environment business.industry Software as a service Energy consumption Service provider Environmental sciences Energy management system business computer |
| Zdroj: | Sustainability; Volume 8; Issue 6; Pages: 531 Sustainability, Vol 8, Iss 6, p 531 (2016) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su8060531 |
| Popis: | Small and medium enterprises (SMES) play an important role in Taiwan’s economy. The reduction of energy costs and carbon dioxide (CO2) 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 CO2 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%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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