https://scholars.lib.ntu.edu.tw/handle/123456789/579965
Title: | Will the management structure of energy administrators affect the achievement of the electrical efficiency mandatory target for taiwan factories? | Authors: | Liao F.-F WUN-HWA CHEN |
Keywords: | Logistic regression; Personnel; Electrical efficiency; Electricity saving; Electricity-consumption; Energy users; Industrial energy; Industrial sector; Management structure; Overall energy efficiency; Energy efficiency | Issue Date: | 2021 | Journal Volume: | 14 | Journal Issue: | 7 | Source: | Energies | 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. |
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 |
ISSN: | 19961073 | DOI: | 10.3390/en14072021 | SDG/Keyword: | Logistic regression; Personnel; Electrical efficiency; Electricity saving; Electricity-consumption; Energy users; Industrial energy; Industrial sector; Management structure; Overall energy efficiency; Energy efficiency |
Appears in Collections: | 工商管理學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.