An Estimation of Electrical Energy Saving for Lecture Building at Universitas Andalas Using Daily Electric Need Pattern

التفاصيل البيبلوغرافية
العنوان: An Estimation of Electrical Energy Saving for Lecture Building at Universitas Andalas Using Daily Electric Need Pattern
المؤلفون: Vera Pujani, Refdinal Nazir, E. Juliani, Fajril Akbar
المصدر: IOP Conference Series: Materials Science and Engineering. 1041:012014
بيانات النشر: IOP Publishing, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Estimation, Computer science, Electric potential energy, Automotive engineering
الوصف: Electrical energy is a mandatory requirement for carrying out various kinds of human activities. Nowadays, electrical energy must be used efficiently, that is, as needed. However, in use, it is often done excessively and inefficiently, which causes energy loss. It has an impact on the high spent on electricity costs. This research was conducted using an analytical method to obtain a pattern of ideal daily energy consumption needs for various kinds of academic activities in the Universitas Andalas lecture building, namely during the lecture period, exam period, and lecture holidays. The ideal pattern of needs is obtained by considering electrical equipment data, lecture schedules, the questionnaire results on electricity users’ behavior, and the value of lighting intensity. The pattern is plotted on a graph every 30 minutes for 24 hours. The pattern results are then compared with current electrical energy usage to evaluate everyday electrical energy use to improve future use. Based on testing the pattern of ideal electrical energy needs with current, it is found that electrical energy is the least efficient during the lecture holidays with a percentage value of 55% to 75%.
تدمد: 1757-899X
1757-8981
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::3fc402fe5ebd9a7c40d60568a62ff568Test
https://doi.org/10.1088/1757-899x/1041/1/012014Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........3fc402fe5ebd9a7c40d60568a62ff568
قاعدة البيانات: OpenAIRE