ANN BASED MONTHLY POWER CONSUMPTION FORECASTING. CASE STUDY FOR A ROMANIAN ELECTRIC ENERGY DISTRIBUTION OPERATOR

Author(s):  
Constantin BARBULESCU
Author(s):  
Julio Cezar Santos ◽  
Wagner Santos ◽  
Guilherme Cestaro ◽  
Marcio Zamboti Fortes ◽  
Henrique Henriques

AbstractThe growing demand for quality in the Energy Distribution Service, both by consumers and by regulatory agencies, obliges most distribution utilities to apply technologies that can be easily implemented and produce results in a short term horizon. The telecontrol technology is an essential tool every time it is necessary to fast restore the energy supply. This technology, which is completely supervised and controlled by the system operation center, allows the fast detection of a fault at a distance and switch an equipment without the aid of the operating crew, thus reducing the time that the power supply is unavailable. The present paper describes a Telecontrol Project, incorporated in an electric energy distribution utility in Brazil and compares the results in quality improvement with others usual investment actions, such as operating and maintenance procedures, laterals protection and network reinforcement. This paper shows, analyzing the results, that to improve the reliability indexes in a short time, when the company’s economic recovery is more important, the application of remotely controlled switch is more effective.


2015 ◽  
Vol 25 (01) ◽  
pp. 1640005 ◽  
Author(s):  
Hitoshi Oi

Dynamic frequency scaling (DFS) is a feature commonly found in modern processors. It lowers the clock frequency of a core according to the load level and reduces the power consumption. In this paper, we present a case study of tuning DFS parameters on a platform with an AMD Phenom II X6 using the SPECjEnterprise2010 (jEnt10) and SPECjbb2005 (jbb05) as the workload. In jEnt10, a longer sampling period of core utilization (up to 1.5[Formula: see text]s) reduced the power by 6[Formula: see text]Watt at 25% load level. At 50% load level, combining it with an increased threshold level (98%) to switch the clock frequency further reduced the power consumption by up to 10[Formula: see text]Watt. In jbb05, stretching the sampling period was only effective up to 0.5[Formula: see text]s. The maximum reduction was observed at around 60% load level. Raising the threshold level was not effective for jbb05.


2020 ◽  
Vol 5 (1) ◽  
pp. 56-60
Author(s):  
Wildan Gunawan ◽  
Suyitno Muslim ◽  
Imam Arif Rahardjo

This research is aimed to understand the effects of  rain fall and discharge rate towards hydro electric power plant productivity (case study at Kracak Sub Unit HPP, Bogor Regency Jawa Barat). Multiple regression tecnique analysis is used as research method with quantitative approach for describing the effects of rain fall and discharge rate towards hydro electric energy productivity. Based on Sub Unit PLTA Kracak during a highest down pour in June 2018 has gained electrical power about 173,583 kWh for 15,84 mm rain fall and the lowest rain fall in July 2018 is 0,86 mm only obtain 49,772 kWh electrical power with the average rain fall record in three stations is 8,9592 mm. Mean while, for the highest river discharge rate happened in February is 10,08 m3/detik which produce 198,296 kWh electrical power and the lowest in June that only gained 3,53 m3/detik which produce 49,772 kWh electrical power with the average of river discharge rate in 2018 is only 7,9858 m3/detik. The average of electrical power it self is only 156,0105 kWh for 8,9592 mm of rainfall and 7,9858 m3/detik river discharge rate record in 2018. The conclusion oh this research is the discharge rate in headwaters area is affected by rainfall intensity, but not necessarily affected to hydro electric energy productivity.   ABSTRAK Tujuan dari penelitian ini adalah untuk mengetahui pengaruh curah hujan dan debit air terhadap produktivitas energi listrik yang dihasilkan pada pembangkit listrik tenaga air (Studi Kasus: Sub Unit PLTA Kracak, Kabupaten Bogor Jawa Barat). Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kuantitatif teknik analisis data regresi berganda untuk mendiskripsikan data penelitian curah hujan dan debit air terhadap produktivitas energi listrik yang dihasilkan. Berdasarkan data hasil penelitian yang diperoleh di Sub Unit PLTA Kracak data curah hujan tertinggi pada tahun 2018 di Bulan Juni sebesar 15,84 mm dapat menghasilkan energi listrik sebesar 173,593 kWh dan terendah di Bulan Juli sebesar 0,86 mm dapat menghasilkan energi listrik sebesar  49,772 kWh dengan rata-rata pertahun 2018 yaitu sebesar 8,9592 mm di tiga stasiun. Sedangkan data debit air pada tahun 2018 tertinggi di Bulan Februari sebesar 10,08 m3/detik dapat menghasilkan energi listrik sebesar 198,296 kWh dan terendah di Bulan Juli sebesar 3,53 m3/detik dapat menghasilkan energi listrik sebesar 49,772 dengan rata-rata pertahun 2018 debit air sebesar 7,9858 m3/detik. Dengan rata-rata curah hujan 8,9592 mm dan debit air 7,9858 m3/detik dapat menghasilkan energi listrik rata-rata pertahun 2018 sebesar 156,0105 kWh selama tahun 2018. Dapat disimpulkan curah hujan tidak berpengaruh langsung terhadap produktivitas energi listrik yang dihasilkan sedangkan debit air berpengaruh terhadap produktivitas energi listrik.


2013 ◽  
Author(s):  
Jill B. Kjellsson ◽  
David Greene ◽  
Raj Bhattarai ◽  
Michael E. Webber

Nationally, 4% of electricity usage goes towards moving and treating water and wastewater. The energy intensity of the water and wastewater utility sector is affected by many factors including water source, water quality, and the distance and elevation that water must be transported. Furthermore, energy accounts for 10% or more of a utility’s total operating cost, suggesting that energy savings can account for significant cost savings. Better knowledge of where and when energy is used could support strategic energy interventions and reveal opportunities for efficiency. Accordingly, this investigation quantifies energy intensity by process and type, including electricity and natural gas, and explores the time-varying nature of electric energy consumption for potable water distribution using the Austin Water Utility (AWU) in Austin, Texas as a case study. This research found that most of energy consumed by the AWU is for pumping throughout the distribution network (57%) and at lift stations (10%) while potable water treatment accounts for the least (5%). Though the focus is site specific, the methodology shown herein can be applied to other utilities with sufficient data.


2014 ◽  
Vol 29 (spe) ◽  
pp. 31-40 ◽  
Author(s):  
Ana Paula Paes dos Santos ◽  
José Ricardo Santos de Souza ◽  
Everaldo Barreiros de Souza ◽  
Alexandre de Melo Casseb do Carmo ◽  
Wanda Maria do Nascimento Ribeiro

Operational records of power outages of the electric energy distribution systems in eastern Amazonia presented a large number of events attributed to lightning strikes, during the 2006 to 2009 period. The regional electricity concessionary data were compared to actual lightning observations made by SIPAM's LDN system, over two areas where operational sub systems of transmission lines are installed. Statistical relations were drawn between the monthly lightning occurrence density and the number of power outages of the electric systems for both areas studied. The results showed that, although with some delays between these variables peaks, the number of power disruptions has a tendency to follow the behavior of the lightning occurrence densities variations. The numerical correlations were positive and may be useful to the transmission lines maintenance crews at least for the Belém-Castanhal electricity distribution sub system. Evidence was found, that the SST's over certain areas of the Pacific and Atlantic Oceans, influence convection over the area of interest, and may help to prognosticate the periods of intense electric storms, requiring repair readiness for the regional electric systems.


DYNA ◽  
2018 ◽  
Vol 85 (207) ◽  
pp. 36-43
Author(s):  
Carlos Esteban Aristizabal-Alzate ◽  
José Luís González Manosalva

Universities are complex organizations, so when implementing an EMS and adopting strategies, methodologies and programs they must involve the entire university system to minimize the negative impacts on the environment and, thus, lead the search for sustainable or carbon neutral organizations. Carbon Footprint was used as an indicator to measure the sustainability effectiveness of the environmental programs implemented and promoted by the EMS-ITM and how they mitigate the emission of GHGs. The calculation of this indicator was developed following ISO 14040-14044 and ISO 14064, for the ITM-Robledo campus and for the period 2015-2017. The results show the relevance and the reduction in the GHG emission levels achieved by the environmental programs studied, especially by the comprehensive solid waste management program, with which the highest levels of mitigation are achieved.


The impending jeopardies relating to dearth of water in performing the techno economic activity of production of electricity in power industries ushered gainful insights for this research paper for pursuing to reckon and quantify the renewable electric energy consumption of water by gauging at the foot prints. This research paper presses the need of the hour to persistently stimulate the electric generation industries to integrate the multidimensional anomalies of seasonal changes of monsoonal fresh water in the arena of Environmental micro and macro climate strategies. Taking cue of electric energy water sequential linkages using water foot printing technology this paper empirically estimated that, minimum water foot print was recorded in selected biomass and natural gas based electricity producing industries to yield 1000 kilowatt of electricity vis-à-vis selected Hydel power station, which has voracious appetite. This research has been performed with a field level investigation of assessing the magnitude of water scarcity by performing a documentation of exemplary investigative case study approach in selected regions of Andhra Pradesh.


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