Scheme Selection of Product Energy-Saving Design Based on Data Envelopment Analysis

2010 ◽  
Vol 44-47 ◽  
pp. 2080-2084
Author(s):  
Run Liang Dou ◽  
Ting Li
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Selection Method ◽  
Point Of View ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Scheme Selection ◽  
Selection Of

A scheme selection method on the base of super efficiency DEA (DEA, data envelopment analysis) is put forward in order to design an energy-saving product. Firstly, a fishbone figure from the point of view of life cycle is established for the sake of analyzing energy-consumption factors systematically. Secondly, as the restriction of basic DEA model, super efficiency model of DEA is referred to choose the potentially energy-saving project. In view of the high difficulty in acquiring energy-consumption factors, this paper takes all the factors into account to select the scheme of energy-saving design. Finally an example of a blade at the stage of manufacture is introduced to illustrating this model. The achievements above solve the problem of the selection of energy-saving scheme, which provide significant references for product energy-saving design.

scholarly journals Improving Energy Efficiency of Barley Production Using Joint Data Envelopment Analysis (DEA) and Life Cycle Assessment (LCA): Evaluation of Greenhouse Gas Emissions and Optimization Approach

2021 ◽  
Vol 13 (11) ◽  
pp. 6082
Author(s):  
Zahra Payandeh ◽  
Ahmad Jahanbakhshi ◽  
Tarahom Mesri-Gundoshmian ◽  
Sean Clark
Keyword(s):  
Energy Efficiency ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Environmental Indicators ◽  
Optimization Approach ◽  
Data Envelopment ◽  
Aquatic Ecotoxicity ◽  
Environmental Emissions

Eco-efficiency has become a cornerstone in improving the environmental and economic performance of farms. The joint use of life cycle assessment (LCA) and data envelopment analysis (DEA), known as LCA + DEA methodology, is an expanding area of research in this quest. LCA estimates the environmental impacts of the products or services, while DEA evaluates their efficiency, providing targets and benchmarks for the inefficient ones. Because energy consumption and environmental quality are highly interdependent, we carried out a study to examine energy efficiency and environmental emissions associated with rain-fed barley farms in Kermanshah Province, Iran. Fifty-four rain-fed barley farms were randomly selected, and production data were collected using questionnaires and interviews. DEA and LCA were used to quantify and compare environmental indicators before and after efficiency improvements were applied to the farms. To accomplish this, efficient and inefficient farms were identified using DEA. Then environmental emissions were measured again after inefficient farms reached the efficiency limit through management improvements. The results showed that by managing resource use, both energy consumption and environmental emissions can be reduced without yield loss. The initial amount of energy consumed averaged 13,443 MJ/ha while that consumed in the optimal state was determined to be 12,509 MJ/h, resulting in a savings of 934 MJ/ha. Based on the results of DEA, reductions in nitrogen fertilizer, diesel fuel, and phosphate fertilizer offered the greatest possibilities for energy savings. Combining DEA and LCA showed that efficient resource management could reduce emissions important to abiotic depletion (fossil fuels), human toxicity, marine aquatic ecotoxicity, global warming (GWP100a), freshwater aquatic ecotoxicity, and terrestrial ecotoxicity. This study contributes toward systematically building knowledge about crop production with the joint use of LCA + DEA for eco-efficiency assessment.

scholarly journals Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 251 ◽  
Author(s):  
Hafiz Muhammad Abrar Ilyas ◽  
Majeed Safa ◽  
Alison Bailey ◽  
Sara Rauf ◽  
Azeem Khan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
New Zealand ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Farming Systems ◽  
Dairy Farms ◽  
Data Envelopment ◽  
Energy Saving Potential ◽  
Dairy Systems

This study evaluates energy efficiency of pastoral (PDFs) and barn (BDFs) dairy farming systems in New Zealand through application of data envelopment analysis (DEA) approach. Two models constant return to scale (CCR) and variable return to scale (BCC) of DEA were employed for determining the technical (TE), pure technical (PTE) and scale (SE) efficiencies of New Zealand pastoral and barn dairy systems. Further, benchmarking was also performed to separate efficient and inefficient dairy farms and energy saving potential was identified for both dairy systems based upon their optimal energy consumption. For this study, the energy inputs data were taken from 50 dairy farms (including PDFs and BDFs) across Canterbury, New Zealand. The results indicated that the average technical, pure technical and scale efficiencies of pastoral (PDFs) dairy systems were 0.84, 0.90, 0.93 and for barn (BDFs) systems were 0.78, 0.84, 0.92, respectively, showing that energy efficiency is slightly better in PDFs system than the BDFs. From the total number of dairy farms 40% and 48% were efficient based on the constant return to scale and variable return to scale models, respectively. Further, the energy saving potential for PDFs and BDFs dairy systems through optimal energy consumption were identified as 23% and 35%, respectively. Thus, energy auditing, use of renewable energy and precision agricultural technology were recommended for energy efficiency improvement in both dairy systems.

Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model

2012 ◽  
Vol 524-527 ◽  
pp. 2437-2441
Author(s):  
Lei Chen ◽  
Hao Qiang Pang ◽  
Tian Yuan Liu ◽  
Guang Mu Zhu ◽  
Wen Quan Tao
Keyword(s):  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Emission Reduction ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Weight Method ◽  
Emission Reduction Target ◽  
Using Data

In the paper, on the basis of the comprehensive weight method, the total energy saving and emission reduction target is distributed to every region. Then the DEA model is adopted to evaluate the actual effect of the energy consumption and the emission reduction. Finally, the optimal scheme is put forward. Taking China as example to compare the efficiency of the program A, B and the program C, we get that program B is more suitable for China, and in more developed economical region, the task of energy saving and emission reduction is done better.

scholarly journals Selection Methodology of Energy Consumption Model Based on Data Envelopment Analysis

2016 ◽  
Vol 11 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Vladimir Nakhodov ◽  
Algirdas Baskys ◽  
Nils-Olav Skeie ◽  
Carlos F. Pfeiffer ◽  
Ivanko Dmytro
Keyword(s):  
Mathematical Model ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Monitoring Methods ◽  
Energy Consumption Model ◽  
Selection Methodology ◽  
The Mathematical Model ◽  
Selection Of

Abstract The energy efficiency monitoring methods in industry are based on statistical modeling of energy consumption. In the present paper, the widely used method of energy efficiency monitoring “Monitoring and Targeting systems” has been considered, highlighting one of the most important issues — selection of the proper mathematical model of energy consumption. The paper gives a list of different models that can be applied in the corresponding systems. The numbers of criteria that estimate certain characteristics of the mathematical model are represented. The traditional criteria of model adequacy and the “additional” criteria, which allow estimating the model characteristics more precisely, are proposed for choosing the mathematical model of energy consumption in “Monitoring and Targeting systems”. In order to provide the comparison of different models by several criteria simultaneously, an approach based on Data Envelopment Analysis is proposed. Such approach allows providing a more accurate and reliable energy efficiency monitoring.

scholarly journals Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xishuang Han ◽  
Xiaolong Xue ◽  
Jiaoju Ge ◽  
Hengqin Wu ◽  
Chang Su
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Policy Makers ◽  
Time Periods ◽  
Decision Making Units

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.

scholarly journals Design Process of Energy Effective Shredding Machines for Biomass Treatment

10.14311/1622 ◽  
2012 ◽  
Vol 52 (5) ◽  
Author(s):  
Juraj Beniak ◽  
Juraj Ondruška ◽  
Viliam Čačko
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Design Process ◽  
Electric Energy ◽  
Point Of View ◽  
Processed Material ◽  
Material Saving

The shredding process has not been sufficiently investigated for the design of better, energy and material saving shredding machines. In connection with present-day concern about the environment, ecology, energy saving, recycling, and finding new sources of energy, we need to look at the design of shredding machinery, the efficiency of the machines that we using, and ways of improving them to save electric energy for their operation. This paper deals with sizing and designing shredding machines from the point of view of energy consumption and optimization for specific types of processed material.

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