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  4. Will the management structure of energy administrators affect the achievement of the electrical efficiency mandatory target for taiwan factories?
 
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Will the management structure of energy administrators affect the achievement of the electrical efficiency mandatory target for taiwan factories?

Journal
Energies
Journal Volume
14
Journal Issue
7
Date Issued
2021
Author(s)
Liao F.-F
WUN-HWA CHEN  
DOI
10.3390/en14072021
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106529414&doi=10.3390%2fen14072021&partnerID=40&md5=bf6d1aa00b8a0a7bbb787ce0078c7732
https://scholars.lib.ntu.edu.tw/handle/123456789/579965
Abstract
Since 2014, Taiwan has promoted a 1% annual electricity saving target to promote electrical efficiency efforts. As the industrial sector accounts for approximately 60% of the overall electricity consumption of Taiwan, this sector presents the greatest opportunity for improving Taiwan’s overall energy efficiency. Here, the energy audit data of industrial energy users are analyzed via logistic regression to understand the factors impacting their likelihood of achieving the targeted 1% electricity saving. Of the variables under study, the number of employees and the rank of the energy administrator were significantly correlated with the likelihood of reaching the electricity saving target. Within the management structure of the factory, energy users with higher-ranking energy administrators are more likely to achieve the targeted 1% electricity saving. As it is impractical to rapidly increase the number of employees, higher-ranking employees, i.e., factory executives, should be appointed as energy administrators to improve users’ electrical efficiency and thus reach the targeted 1% annual electricity saving. Based on the findings of our research, we put forward a point of view that in addition to the introduction of new technologies to improve energy efficiency, it can also be achieved through adjustments to the management structure of energy administration. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Subjects
Logistic regression; Personnel; Electrical efficiency; Electricity saving; Electricity-consumption; Energy users; Industrial energy; Industrial sector; Management structure; Overall energy efficiency; Energy efficiency
SDGs

[SDGs]SDG7

[SDGs]SDG8

[SDGs]SDG9

[SDGs]SDG12

[SDGs]SDG13

Other Subjects
Logistic regression; Personnel; Electrical efficiency; Electricity saving; Electricity-consumption; Energy users; Industrial energy; Industrial sector; Management structure; Overall energy efficiency; Energy efficiency
Type
journal article

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