• Transactions of the Korean Society of Automotive Engineers
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• v.23 no.2
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• pp.230-238
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• 2015

The main purpose of this paper is to suggest opportunities for reducing $CO_2$ emission in energy conversion of a vehicle, focused on auxiliary energy improvement in the automotive field. As part of worldwide efforts to curb global warming and to protect the domestic industry as trade barriers, many countries have set goals to regulate greenhouse gas emissions. As an example, new $CO_2$ emission regulation in EU was expected to go into effect strictly in 2020. Therefore, global car-makers need to establish strategic responsiveness of the regulations. This paper shows $CO_2$ economic value by using the correct interpretation of the relevant laws and regulations. The $CO_2$ value analyzed using quantitative figures leads to the possibility of auxiliary(accessories, HVAC, electric apparatus etc.) technology for improving fuel economy. As a result, this study generalizes the meaning of electric power saving for each driving mode by auxiliary energy improvement.

• Advances in Energy Research
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• v.5 no.3
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• pp.207-217
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• 2017

Energy consumption in agriculture is responsible for greenhouse gas emission but it can be reduced after efficient utilization of energy inputs. Therefore, the present study aims for the estimation of energy efficiency and extent of greenhouse gas reduction after benchmarking of inefficient farms in off-season tomato in Punjab province of Pakistan. Primary data were collected from 70 farmers with simple random sampling. By using data envelopment analysis, the average value of technical, pure technical and scale efficiency was 0.80, 0.92 and 0.87, respectively while increasing, constant and decreasing return to scale was observed in 33, 26 and 11 farmers, respectively. Total input energy was reduced by $12,688.91MJ\;ha^{-1}$ (13.89%) if inefficient farms used the energy inputs according to recommendations or benchmarking. A major portion of energy saving comes from fertilizers (68.79%) followed by diesel (15.70%), chemicals (5.91%), machinery (4.37%) and water (4.00%). Total greenhouse gases reduction was $499.17kg\;CO_2\;eq.ha^{-1}$ (14.57%) as a result of improvement in energy efficiency or benchmarking of inefficient farms. Agricultural extension staff should visit the vegetable farms on regular basis and give necessary information about efficient utilization of energy inputs. The government should create awareness about the optimum use of input through seminars and pamphlets.

• Journal of the Korean Solar Energy Society
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• v.33 no.4
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• pp.80-88
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• 2013

Deploying new and renewable energy should be encouraged due to scarce of natural resources and to reduce the $CO_2$ emission. Regarding the Green Building Certification System, '2.2.1 new and renewable energy use', and '2.3.1 carbon dioxide emission reductions' are related to new and renewable energy. Applying new and renewable energy can achieve the score in two criteria mentioned above and most of buildings get a perfect score in the green building certification system. So these criteria needs to be revised to have discrimination. In this study, supply rate of new and renewable energy of the buildings that have achieved Green Building Certification by E Green Building Certification Institute was analyzed. The improvement of assessment criteria related to new and renewable energy is proposed and could be applied to the revisions.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.10a
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• pp.292-292
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• 1998

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2001.11a
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• pp.177-182
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• 2001

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2004.05a
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• pp.165-170
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• 2004

• Proceedings of the SAREK Conference
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• 2003.07a
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• pp.69-69
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• 2003

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.11a
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• pp.149-150
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• 2018

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.05a
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• pp.96-97
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• 2018

• The Journal of Information Systems
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• v.20 no.3
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• pp.1-24
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• 2011

Recently, six sigma has been widely adopted in a variety of industries as a disciplined, data-driven problem solving approach or methodology supported by a handful of powerful statistical tools in order to reduce variation through continuous process improvement. Also, data mining has been widely used to discover unknown knowledge from a large volume of data using various modeling techniques such as neural network, decision tree, regression analysis, etc. This paper proposes a six sigma methodology based on data mining for effectively and efficiently processing massive data in driving six sigma projects. The proposed methodology is applied in the hot stove system which is a major energy-consuming process in a "P" steel company for improvement of heat efficiency through reduction of energy consumption. The results show optimal operation conditions and reduction of the hot stove energy cost by 15%.