scholarly journals A Curve Fitting Modelling Approach to Forecast Long-Term Electrical Energy Consumption: Case Study of Turkey

2021 ◽  
Vol 4 (2) ◽  
pp. 266-276
Author(s):  
Kürşat AYAN ◽  
Selim ŞEKER ◽  
Abdal KASULE
Keyword(s):  
Energy Consumption ◽  
Curve Fitting ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Modelling Approach

A methodology to estimate baseline energy use and quantify savings in electrical energy consumption in higher education institution buildings: Case study, Federal University of Itajubá (UNIFEI)

2020 ◽  
Vol 244 ◽  
pp. 118551 ◽  
Author(s):  
Eric Alberto Ocampo Batlle ◽  
José Carlos Escobar Palacio ◽  
Electo Eduardo Silva Lora ◽  
Arnaldo Martín Martínez Reyes ◽  
Maurish Melian Moreno ◽  
...  
Keyword(s):  
Higher Education ◽  
Energy Consumption ◽  
Energy Use ◽  
Education Institution ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Higher Education Institution

scholarly journals Mobile Application for the Monitoring and Control of Electrical Energy Consumption through a Meter Made with Arduino

2021 ◽  
Vol 11 (9) ◽  
pp. 46-54
Author(s):  
Keyla Nalvarte Dionisio ◽  
◽  
Carlos Diaz Nuñez ◽  
Alexi Delgado ◽  
Enrique Lee Huamaní
Keyword(s):  
Energy Consumption ◽  
Mobile Applications ◽  
Mobile Application ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Monitoring And Control ◽  
And Control ◽  
Issue Reports

Abstract— This year, citizens were complaining that the power companies were overcharging their bills because of the pandemic, but investigations in previous years also showed claims in Peru and internationally. In this work, the Scrum Methodology was used for the development of the mobile application and the Balsamiq tool was used for the design of the prototype. In addition, the Arduino tool was used for the electricity consumption meter. As for the case study, we developed the prototypes of the application with its functions and the methodology of how it is elaborated, at the same time we described the way in which the meter will be implemented with Arduino. The results obtained from the research are that people can compare the consumption of the bill issued by the electricity company and the consumption shown by the Arduino meter, in addition to the union of the mobile application with the meter will allow them to consult the consumption and also issue reports having a better control of electricity. This work can be implemented not only in the cities, but also in remote places where traditional meters have not been implemented. Keywords— Arduino; Mobile applications; Power consumption; Scrum methodology

scholarly journals Peramalan Beban pada Gardu Induk Mantingan dalam Penentuan Kapasitas Transformator dengan Metode Regresi Linear

Electrician ◽  
2021 ◽  
Vol 15 (2) ◽  
pp. 64-72
Author(s):  
Jimmy Trio Putra ◽  
Nisaun Fadhilah ◽  
Muhammad Arrofiq
Keyword(s):  
Operating System ◽  
Energy Consumption ◽  
Linear Regression ◽  
Historical Data ◽  
Electrical Energy ◽  
Electric Load ◽  
Electrical Energy Consumption ◽  
Electricity Load ◽  
Current Operating

Intisari — Pertumbuhan beban kelistrikan di wilayah Ngawi dan Magetan meningkat seiring rencana pemerintah dalam membangun beberapa infrastruktur dan kawasan industri.  Penyedia kelistrikan harus mampu memprediksi kemampuan sistem dalam melayani konsumen. Perencanan pembangunan Gardu Induk (GI) memiliki tujuan dalam memastikan persebaran semua beban listrik yang dilayani dapat diakomodasi dengan baik. Penelitian ini menggunakan data historis dalam memprediksi besarnya permintaan kelistrikan di area GI Mantingan tahun 2019 hingga tahun 2026. Metode yang digunakan adalah metode regresi linear dengan perencanaan satu tahap, yaitu periode 8 tahun (jangka panjang). Hasil penelitian merekomendasikan bahwa sistem yang beroperasi saat ini membutuhkan persebaran beban listrik dengan memindahkan tiga penyulang di GI Magetan dan GI Ngawi ke GI Mantingan. Tiga penyulang tersebut yaitu penyulang Walikukun dan Trinil yang mendapatkan sumber dari GI Ngawi dan penyulang Sine yang mendapat sumber dari GI Magetan. Area calon pembangunan GI Mantingan yaitu didaerah Widodaren, Mantingan, Karanganyar, Ngrambe dan Sine. Penelitian menunjukan bahwa GI baru dibangun dengan kapasitas 60 MVA dan besar nilai pembebanan trafo Gardu Induk Mantingan selama 8 tahun memiliki rata-rata sebesar 41,41% serta biaya pokok penyediaan listik (BPP) rata-rata sebesar Rp. 2.101. Kata kunci — kapasitas trafo, konsumsi energi listrik, regresi linear. Abstract — The growth of electricity load in Ngawi and Magetan areas has increased due to the government's plan to build several infrastructure and industrial areas. The electricity provider must be able to predict the system's ability to serve consumers. The planning for the construction of substations (GI) is carried out to ensure that all electricity loads served can be properly accommodated. This research uses historical data in predicting the amount of electricity demand in the Mantingan substation area from 2019 to 2026. The method used is a linear regression with one-stage planning, which is for 8 years (long term). The results recommend that the current operating system requires an electric load by moving three feeders in Magetan substation and Ngawi substation to Mantingan substation. The three feeders, namely the Walikukun and Trinil feeders, were sourced from the Ngawi substation and the Sine feeders which were sourced from the Magetan substation. The prospective areas for the construction of the Mantingan Substation are Widodaren, Mantingan, Karanganyar, Ngrambe, and Sine areas. Research shows that a newly built substation with a capacity of 60 MVA and the load value of the Mantingan substation transformer for 8 years has an average of 41.41% and an average of biaya pokok penyedia listrik (BPP) of Rp. 2,101. Keywords— transformer capacity, electrical energy consumption, linear regression.

scholarly journals A Case Study: The Potential of Energy Efficiency in Senior High School of Semarang Regency, Central Java, Indonesia

2018 ◽  
Vol 31 ◽  
pp. 01010
Author(s):  
Ana Yustika ◽  
P Purwanto ◽  
H Hermawan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
School Environment ◽  
Electrical Energy ◽  
Short Term ◽  
Interview Method ◽  
Case Research ◽  
Central Java

The increasing of energy supply trend in Indonesia seems to be a serious problem in the implementation of sustainable development. This study case research aimed to determine the potential of energy efficiency in school environment. The subject of this research was SMA N 1 Ambarawa, located on Semarang Regency of Central Java, Indonesia. The data collection was done by used documentation, observation and interview method. The results showed that the average of electrical energy consumption in this school reached 11022.008 kWh/month, which resulted in the emergence of secondary emissions of CO2 by 9644.257 kg CO2/month. Overall, the consumption of electrical energy in this school was very efficient, with an Intensity of Energy Consumption (IEC) average 1.7957 kWh/m2/month. In this case, the implementation of short-term no cost, long-term no cost, middle-cost, short-term high cost and long-term high-cost recommendation could save electricity energy sequent by 3.159%; 7.536%; 9.499%; 35.278% - 36.626%; and 42.084%. In conclusion, the school environment had a big potential of energy efficiency that could reduce the energy consumption and CO2 gas emissions.

scholarly journals Energetic Analysis of Rice Processing Plant: A Case Study of Hisar District in Haryana

2021 ◽  
pp. 56-61
Author(s):  
Parmod Sharma ◽  
. Yadvika ◽  
Kanishk Verma ◽  
Y. K. Yadav ◽  
. Ravi
Keyword(s):  
Energy Consumption ◽  
Rice Plant ◽  
Energy Use ◽  
Electrical Energy ◽  
Processing Plant ◽  
Electrical Energy Consumption ◽  
Processing Operation ◽  
Energetic Analysis ◽  
Rice Processing

A study was conducted to find out electrical and manual energy use pattern in post harvest rice processing operation in modern rice Plant at Hisar district of Haryana. Planting capacity of rice Plant is 200 tons per day and Plant operated 20 hours in one day. The processing operation adopted in modern rice Plant viz, parboiling, drying, polishing & dehusking, sorting & grading and packaging. In processing of rice, modern rice Plant utilized total electrical and manual energy were 64965.5 and 987.84 MJ/day. It was found that the electrical energy consumption of Plant in parboiling 10010.88, drying 16663.80, polishing & dehusking 22936.32, sorting & grading 14445.09 and packaging 1054.18 MJ/day were required. Operation wise manual energy used during the parboiling & drying 235.2, polishing & dehusking 188.16, sorting & grading 94.08 and packaging 470.40 MJ/day.

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