Establishing the DEA energy management system for individual departments within universities

Facilities ◽  
2015 ◽  
Vol 33 (11/12) ◽  
pp. 716-735 ◽  
Author(s):  
Kung-Jen Tu
Keyword(s):  
Energy Efficiency ◽  
Data Envelopment Analysis ◽  
Energy Management ◽  
Management System ◽  
Scale Efficiency ◽  
Energy Management System ◽  
Data Envelopment ◽  
Content Type ◽  
Decision Making Unit ◽  
Actual Energy Consumption

Purpose – The purpose of this study is to present the theoretical framework of the “data envelopment analysis (DEA) Energy Management System (DEMS)” proposed to assist individual departments occupying the same buildings on university campus in assessing the energy efficiencies of their facilities, as well as to demonstrate the implementation results of the DEMS applied in the case of the Department of Architecture of NTUST in Taiwan. Design/methodology/approach – The proposed DEMS considers each “space” within a department in a given “time” (such as a month) as a decision-making unit (DMU). Then, regression analysis is performed on data of “existing environment”, “occupancy” factors and “actual energy consumption EUI (energy usage intensity)” related variables. The regression equation derived is then used to calculate the “predicted EUI” for all DMUs. The “actual EUI” is further considered as the input data and the “predicted EUI” as the output data of the DEMS, on which data envelopment analysis is conducted to produce three types of energy-efficiency scores (overall efficiency, scale efficiency, pure technical efficiency) to indicate the energy efficiencies of all DMUs. Findings – The DEMS was developed and further implemented in the Department of Architecture of NTUST in Taiwan to illustrate how it can be used to assist individual departments within universities in assessing the energy management effectiveness of their spaces. Research limitations/implications – The accuracy of the energy-efficiency scores depends greatly on the accuracy of the predicted EUIs of spaces, and, therefore, it is critical to identify a better regression model with higher predictability (R2). The relatively low actual EUIs of certain student spaces during winter and summer breaks may greatly affect the resulting energy-efficiency scores. Practical implications – The DEMS allows facility managers to assess and compare the energy-efficiency scores “among different spaces”, to further review the energy efficiency of a space “over time” and to recognize the benchmark cases and pursue actions for energy improvement. Originality/value – This study explores the research concepts of “space type” and “internal benchmark” with an analytical method “data envelopment analysis” to assess the energy efficiency of an individual department which may only occupy certain floors of a building.

A data envelopment analysis (DEA) model for building energy benchmarking

2019 ◽  
Vol 17 (4) ◽  
pp. 747-768 ◽  
Author(s):  
Baabak Ashuri ◽  
Jun Wang ◽  
Mohsen Shahandashti ◽  
Minsoo Baek
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Building Energy ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Data Set ◽  
Content Type ◽  
Dea Model ◽  
Energy Benchmarking

Purpose Building energy benchmarking is required for adopting an energy certification scheme, promoting energy efficiency and reducing energy consumption. It demonstrates the current level of energy consumption, the value of potential energy improvement and the prospects for additional savings. This paper aims to create a new data envelopment analysis (DEA) model that overcomes the limitations of existing models for building energy benchmarking. Design/methodology/approach Data preparation: the findings of the literature search and subject matter experts’ inputs are used to construct the DEA model. Particularly, it is ensured that the included variables would not violate the fundamental assumption of DEA modeling, DEA convexity axiom. New DEA formulation: controllable and non-controllable variables, e.g. weather conditions, are differentiated in the new formulation. A new approach is used to identify outliers to avoid skewing the efficiency scores for the rest of the buildings under consideration. Efficiency analysis: three distinct efficiencies are computed and analyzed in benchmarking building energy: overall, pure technical, and scale efficiency. Findings The proposed DEA approach is successfully applied to a data set provided by a utility management and energy services company that is active in the multifamily housing industry. Building characteristics and energy consumption of 124 multifamily properties in 15 different states in the USA are found in the data set. Buildings in this data set are benchmarked using the new DEA energy benchmarking formulation. Building energy benchmarking is also conducted in a time series manner showing how a particular building performs across the period of 12 months compared with its peers. Originality/value The proposed research contributes to the body of knowledge in building energy benchmarking through developing a new outlier detection method to mitigate the impact of super-efficient and super-inefficient buildings on skewing the efficiency scores of the other buildings; avoiding ratio variables in the DEA formulation to adhere to the convexity assumption that existing DEA methods do not follow; and distinguishing between controllable and non-controllable variables in the DEA formulation. This research contributes to the state of practice through providing a new energy benchmarking tool for facility managers and building owners that strive to relatively rank the energy-efficiency of their properties and identify low-performing properties as investment targets to enhance energy efficiency.

Efficiency evaluation of Indian oil and gas sector: data envelopment analysis

2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Capital Investment ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Indian Economy ◽  
Oil And Gas Sector

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.

scholarly journals The methodical issues of industrial energy monitoring systems implementation

2020 ◽  
pp. 47-56
Author(s):  
V. Nakhodov ◽  
O. Borychenko ◽  
A. Cherniavskyi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Monitoring System ◽  
Energy Management ◽  
Specific Energy ◽  
Management System ◽  
Specific Energy Consumption ◽  
Monitoring Systems ◽  
Energy Management System ◽  
Energy Monitoring

Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.

Research and Design of Intelligent Building Energy Management System

2011 ◽  
Vol 368-373 ◽  
pp. 3745-3748
Author(s):  
Yun Fa Wu ◽  
Fang Li
Keyword(s):  
Energy Efficiency ◽  
Energy Management ◽  
Management System ◽  
Building Energy ◽  
Construction Equipment ◽  
Energy Management System ◽  
Intelligent Building ◽  
Building Energy Management ◽  
Research And Design ◽  
Difficult Subject

In the field of intelligent building, managing energy consumption effectively in various types of construction equipment, improving energy efficiency, has been seen as an important and difficult subject. This thesis through establish building energy management system; realize building energy management by unified management of construction equipment.

scholarly journals Analisis Efisiensi Asuransi Umum Syariah di Indonesia Tahun 2013-2015: Aplikasi Metode Data Envelopment Analysis (DEA)

2017 ◽  
Vol 4 (9) ◽  
pp. 757
Author(s):  
Yulia Wahyu Ningsih ◽  
Noven Suprayogi
Keyword(s):  
Data Envelopment Analysis ◽  
Insurance Companies ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Insurance Company ◽  
Average Value ◽  
General Insurance ◽  
Decision Making Unit ◽  
Dea Analysis ◽  
Input Variables

This study aims to analyze the efficiency of sharia general insurance companies in Indonesia. The input variables used are total assets, expenses, and payment of claims, while the output variable is the income and tabarru’ funds. The method were used to measure the level of efficiency is the Data Envelopment Analysis (DEA) with the assumption of Variable Return to Scale (VRS) with input and output orientation. The samples are 12 sharia general insurance companies during 2013-2015. The results of the study indicate that the average result of DEA analysis for the entire DMU (Decision Making Unit) has not been efficient. The average value of economic efficiency (CRS) by 0.978, technically efficiency (VRS) for 0.925, and scale efficiency for 0.945. Source of inefficiency sharia insurance company is the scale of operations and management of input to output is not optimal.

Opportunity recognition efficiency of small Chinese firms: findings from data envelopment analysis

2019 ◽  
Vol 13 (4) ◽  
pp. 760-777
Author(s):  
Zisheng Guo ◽  
Jianqi Zhang ◽  
Heng Liu
Keyword(s):  
Data Envelopment Analysis ◽  
Small Firms ◽  
Opportunity Recognition ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Knowledge Stock ◽  
Chinese Firms ◽  
Content Type ◽  
Recognition Efficiency ◽  
Use Of Knowledge

Purpose Small firms in China anticipate entrepreneurial opportunities for continual growth. However, they may fail to recognize opportunities because of their inefficiency in managing their knowledge. Design/methodology/approach In this explorative paper, the authors assess the opportunity recognition efficiency of 168 small Chinese firms using data envelopment analysis (DEA). Supplementary Tobit regressions were conducted for further exploring the factors that influence the firms’ efficiency in opportunity recognition. Findings Results from the DEA suggest that most respondents recognize significantly fewer opportunities than those with equivalent knowledge stock. Moreover, many firms have low levels of pure technical efficiency but high levels of scale efficiency, indicating insufficient use of knowledge as a major reason for inefficiency in opportunity recognition. The Tobit regressions show that sales and research and development intensity are relevant to a firm’s opportunity recognition efficiency. Research limitations/implications This study calls for the investigation of efficiency issues in opportunity recognition and suggests that managers guard against unwarranted loss of opportunities owing to inefficient use of existing knowledge elements. Originality/value First, the authors introduce the concept of opportunity recognition efficiency within the entrepreneurial process. Second, they manifest the role of knowledge management in opportunity recognition. Third, they introduce DEA to investigate the relationship between knowledge stock and opportunity recognition. Fourth, this study reveals that inefficient use of knowledge is a disadvantage of small Chinese firms in terms of opportunity recognition.

Improving the energy efficiency of industrial enterprises on the basis of the formation of energy management system

2018 ◽  
Author(s):  
Людмила Федоськина ◽  
Lyudmila Fedoskina ◽  
Евгений Абрамов ◽  
Eugene Abramov
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Energy Management ◽  
Management System ◽  
National Standards ◽  
Management Systems ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Industrial Enterprises

The monograph examines the trends and prospects of energy efficiency management of industrial enterprises, taking into account international and domestic experience. Theoretical and methodological provisions in the field of energy efficiency management are considered and practical approaches to the formation of energy management systems based on the requirements of international and national standards ISO 50001 taking into account the Russian practice of energy saving and energy efficiency management are proposed. For researchers dealing with energy efficiency management of enterprises

Design and Development of the Energy Management System in Cigarette Manufactures

2013 ◽  
Vol 432 ◽  
pp. 592-597
Author(s):  
Dao Fei Zhu ◽  
Jian Jun Wang ◽  
Hua Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Management ◽  
Management System ◽  
Reference Value ◽  
Energy Management System ◽  
System Function ◽  
Improve Energy Efficiency ◽  
Reduce Energy Consumption

It is an increasingly urgent demand for Cigarette manufacturers to promote energy conservation. Energy management system is an important tool to further reduce energy consumption and improve energy efficiency for cigarette manufacturers. In this paper, the design principles, the overall framework and the system function of the energy management system in a cigarette manufacturer are introduced. After energy management system is put into operation, comprehensive energy consumption per unit product is about 16.35% shorter than before. It has some reference value for the construction of other cigarette enterprise.

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