scholarly journals Improving Energy Conservation Using Six Sigma Methodology at Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi Mara (UiTM), Shah Alam

2014 ◽  
Vol 2 (2) ◽  
pp. 52-68 ◽  
Author(s):  
Nur Hidayah binti Mohd Razali ◽  
Wan Mohamad Asyraf Bin Wan Afthanorhan
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Six Sigma ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Pareto Chart ◽  
Mathematical Sciences ◽  
Six Sigma Methodology ◽  
Electrical Consumption ◽  
Six Sigma Approach

Electrical consumption is increasing rapidly in Malaysia due to the sustenance of a modern economy way of living. Recently, the Vice Chancellor of University Technology MARA, Tan Sri Dato’ Professor Ir Dr Sahol Hamid Abu Bakar has shown a great deal of concern regarding the high electrical energy consumption in UiTM’s main campus in Shah Alam. This study seeks to evaluate the factors that contribute to high electrical energy consumption in the Faculty of Computer and Mathematical Sciences (FSKM), UiTM using the Six Sigma methodology and to compare electrical energy consumptions before and after the EC (Energy Conservation) initiative campaign. Many companies worldwide continue to achieve improvements in business performance using the Six Sigma approach. The electrical consumption from January 2011 until December 2013 was analyzed using five stages of Six Sigma which is Define, Measure, Analyze, Improve and Control (DMAIC). The total electrical consumption for 2011 was 1, 648, 791 kwH (RM 514,422.79) and 1, 657, 808 kwH (RM 517, 236.10) in 2012 which is an increase of 0.5% (RM 2813.31 or 9017 kwH). From the results obtained, Pareto chart shows that air-conditioner (57%) is the major factor that contributes to high consumption of electricity, followed by lightings (22%), sockets (16%) and others (5%). The electrical consumption was almost doubled when the new semester begun. After the campaign, there was a reduction of 2% in electrical consumption. This study has successfully implemented Six Sigma methodology which involves a systematic DMAIC process to evaluate electrical consumption in FSKM.

scholarly journals Application of DMAIC to improve energy consumption in a commercial building

2021 ◽  
Author(s):  
◽  
Kanyinda Kabuya
Keyword(s):  
Energy Consumption ◽  
Six Sigma ◽  
Energy Use ◽  
Electrical Energy ◽  
Commercial Buildings ◽  
Commercial Building ◽  
Total Consumption ◽  
Pareto Chart ◽  
Electrical Consumption

Improving energy use in a commercial building has become the subject of great importance in organizations worldwide. Improving energy usage refers to the efforts to reduce energy consumption. Reducing energy consumption in commercial buildings can be accomplished through continuous supervision using appropriate managerial techniques. Commercial companies are required to use energy more efficiently and participate in energy improvement. This study seeks to improve electrical energy consumption in commercial buildings by Analysing the electrical data consumption and identifying the factors that contribute to high consumption using Six Sigma DMAIC (Define-Measure- Analyse-Improve-Control) problem solving methodology. A case study was used to validate the DMAIC framework. Two years of electrical consumption data of a case study done from January 2018 to December 2019 was collected and analysed. The study revealed an average increment in energy consumption of 3.9 %. The outcomes using statistical Pareto chart showed that the boiler is the highest significant energy user in the building with 38.3% due; followed by the kitchen with 24.2 %, followed by DB A and lifts with 20,1 % and the rest with 17.37 %. After the campaign of DMAIC, there was a reduction of 6 % in boiler consumption which was 2.3 % reduction of total consumption of the month for the building. Therefore, the study successfully demonstrates how Six Sigma DMAIC methodology can be applied to improve electrical consumption in a commercial building and reduce its related costs.

scholarly journals Electrical Energy Consumption and Energy Conservation of Rice Mills in the Northeastern of Thailand

2017 ◽  
Vol 21 (4) ◽  
pp. 73-82 ◽  
Author(s):  
Anuwat Pachanawan ◽  
Somchai Chuan-Udom ◽  
Khwantri Saengprachatanarug ◽  
Seree Wongpichet
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Electrical Energy ◽  
Electrical Energy Consumption

scholarly journals Electrical Consumption Profile Clusterization: Spanish Castilla y León Regional Health Services Building Stock as a Case Study

Environments ◽  
2018 ◽  
Vol 5 (12) ◽  
pp. 133
Author(s):  
Álvaro de la Puente-Gil ◽  
Alberto González-Martínez ◽  
David Borge-Diez ◽  
Jorge Blanes-Peiró ◽  
Miguel de Simón-Martín
Keyword(s):  
Energy Consumption ◽  
Health Services ◽  
Emergency Services ◽  
Residential Buildings ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Building Stock ◽  
Classical Energy ◽  
Castilla Y Leon ◽  
Electrical Consumption

Health Services building stock is usually the top energy consumer in the Administrative sector, by a considerable margin. Therefore, energy consumption supervision, prediction, and improvement should be carried out for this group in a preferential manner. Most prior studies in this field have characterized the energy consumption of buildings based on complex simulations, which tend to be limited by modelisation restrictions and assumptions. In this paper, an improved method for the clusterization of buildings based on their electrical energy consumption is proposed and, then, reference profiles are determined by examining the variation of energy consumption over the typical yearly consumption period. The temporary variation has been analyzed by evaluating the temporary evolution of the area consumption index through data mining and statistical clusterization techniques. The proposed methodology has been applied to building stock of the Health Services in the Castilla y León region in Spain, based on three years of historical monthly electrical energy consumption data for over 250 buildings. This building stock consists of hospitals, health centers (with and without emergency services) and a miscellaneous set of administrative and residential buildings. Results reveal five distinct electrical consumption profiles that have been associated with five reference buildings, permitting significant improvement in the demand estimation as compared to merely using the classical energy consumption indicators.

A persuasive multi-agent simulator to improve electrical energy consumption

2021 ◽  
pp. 1-15
Author(s):  
Fernanda P. Mota ◽  
Cristiano R. Steffens ◽  
Diana F. Adamatti ◽  
Silvia S. Da C Botelho ◽  
Vagner Rosa
Keyword(s):  
Energy Consumption ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Multi Agent

scholarly journals AUDIT ENERGI PADA SEBUAH HOTEL

2012 ◽  
Vol 16 (3) ◽  
pp. 131
Author(s):  
Didik Ariwibowo
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Energy Savings ◽  
Electric Energy ◽  
Electrical Energy ◽  
Hot Water ◽  
Electrical Energy Consumption ◽  
Energy Audit ◽  
Electric Energy Consumption ◽  
Pumping System

Didik Ariwibowo, in this paper explain that energy audit activities conducted through several phases, namely: the initial audit, detailed audit, analysis of energy savings opportunities, and the proposed energy savings. Total energy consumed consists of electrical energy, fuel, and materials in this case is water. Electrical energy consumption data obtained from payment of electricity accounts for a year while consumption of fuel and water obtained from the payment of material procurement. From the calculation data, IKE hotels accounted for 420.867 kWh/m2.tahun, while the IKE standards for the hotel is 300 kWh/m2.tahun. Thus, IKE hotel included categorized wasteful in energy usage. The largest energy consumption on electric energy consumption. Largest electric energy consumption is on the air conditioning (AC-air conditioning) that is equal to 71.3%, and lighting and electrical equipment at 27.28%, and hot water supply system by 4.44%. Electrical energy consumption in AC looks very big. Ministry of Energy and Mineral Resources of the statutes, the profile of energy use by air conditioning at the hotel by 48.5%. With these considerations in the AC target for audit detail as the next phase of activity. The results of a detailed audit analysis to find an air conditioning system energy savings opportunities in pumping systems. Recommendations on these savings is the integration of automation on the pumping system and fan coil units (FCU). The principle of energy conservation in the pumping system is by installing variable speed drives (VSD) pump drive motor to adjust speed according to load on the FCU. Load variations FCU provide input on the VSD pumps to match. Adaptation is predicted pump can save electricity consumption up to 65.7%. Keywords: energy audit, IKE, AC

scholarly journals Specific Electrical Energy Consumption and CO2 Emissions Assessment of Agrifood Industries in the Central Region of Portugal

2014 ◽  
Vol 675-677 ◽  
pp. 1880-1886 ◽  
Author(s):  
Pedro D. Silva ◽  
Pedro Dinis Gaspar ◽  
J. Nunes ◽  
L.P.A Andrade
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Food Safety ◽  
Central Region ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Reference Levels ◽  
Energy Characteristics ◽  
Result Analysis

This paper provides a characterization of the electrical energy consumption of agrifood industries located in the central region of Portugal that use refrigeration systems to ensure the food safety. The study is based on the result analysis of survey data and energy characteristics of the participating companies belonging to the following agrifood sectors: meat, dairy, horticultural, distribution and wine. Through the quantification of energy consumption of companies is possible to determine the amount of greenhouse gases (GHGs) emissions indexed to its manufacturing process. Comparing the energy and GHGs emissions indexes of companies of a sector and between sectors is possible to create reference levels. With the results of this work is possible to rating the companies in relation to reference levels of energy and GHGs emissions and thus promote the rational use of energy by the application of practice measures for the improvement of the energy efficiency and the reduction of GHGs emissions.

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