• Environmental and Resource Economics Review
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• v.15 no.2
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• pp.201-245
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• 2006

We applied general equilibrium model to analysis the economic impact of international emission trading by sector and the efficiency of the Convention to study whether Climate Change Convention satisfy the efficiency. We divided the world as 4 groups : USA, OECD members w/o USA (OEC), Former Soviet Union (FSU) and Developing countries (DEV). Compared to no trading, global trading would accomplish the same environmental effect with less cost as much as 97.8 billion$, which is the surplus of trading. However, half of it is taken by USA and 20% by OEC. FSU and DEV have only 18% and 10%. This result suggest the two things. First, the emission trading is effective as far as the participation of developing countries are guaranteed. If they do not take part in the coalition and emit the leakage, it may threaten the stability of the international trading coalition. Second, we found the logical ground of the side payment for developing countries. The permit buying countries take more share of the surplus under the emission trading, while the energy sector of developing countries shrinks to sell permits, which may adversely affect to economic growth of the countries. Therefore, the Annex-I countries need to provide side payment to lead the participation of the developing countries.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.245-253
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• 2011

Due to the imprudent spending of the fossil fuels, the environment was contaminated seriously and the exhaustion problems of the fossil fuels loomed large. Therefore people become taking a great interest in alternative energy resources which can solve problems of fossil fuels. The wind power energy is one of the most interested energy in the new and renewable energy. However, the plants of wind power energy and the traditional power plants should be balanced between the power generation and the power consumption. Therefore, we need analysis and prediction to generate power efficiently using wind energy. In this paper, we have performed a research to predict power generation patterns using the wind power data. Prediction approaches of datamining area can be used for building a prediction model. The research steps are as follows: 1) we performed preprocessing to handle the missing values and anomalous data. And we extracted the characteristic vector data. 2) The representative patterns were found by the MIA(Mean Index Adequacy) measure and the SOM(Self-Organizing Feature Map) clustering approach using the normalized dataset. We assigned the class labels to each data. 3) We built a new predicting model about the wind power generation with classification approach. In this experiment, we built a forecasting model to predict wind power generation patterns using the decision tree.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.1
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• pp.47-56
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• 2012

Bicycle has a large amount of kinetic energy available for energy harvesting technology in its speedy and balanced riding movement. Systematic and realistic analysis of its dynamic property is essential to improve the efficiency of energy harvester. However, there has not been enough researches about precise measurement or analysis of bicycle dynamics on real roads. This study aims to investigate the characteristics of vibrational movement of bicycle using MEMS-based accelerometer and to develop a prototype of electromagnetic energy harvester with nonlinear behavior which is proper to the random vibrations accompanied in bicycle riding. The vibrational components have average magnitude of 1 g and turn out to be independent of riding speed. The developed prototype of energy harvester was installed on a front port of a bicycle to use this ambient vibration and generated an average electrical power of 1.5 mW which is enough to support power for most of portable sensors and short range radio-frequency communication. Further study about isolation of vibration from a rider and conversion efficiency is ongoing. The developed energy harvester is expected to be a platform technology for sustainable portable power supply for various smart IT devices and applications.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.149-166
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• 2013

The purpose of this study is to analyze the regional disparity and its determinants of $CO_2$ emission from the residential energy consumption in China. This study examines factors that affect the $CO_2$ emission per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006~2011. $CO_2$ emission per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. $CO_2$ emission per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on $CO_2$ emission. The findings suggest that the effect of policies reducing $CO_2$ emission per capita may vary by characteristics of the household, energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.10
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• pp.708-714
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• 2014

Wireless sensor networks (WSNs) generally consist of densely deployed sensor nodes that depend on batteries for energy. Having a large number of densely deployed sensor nodes causes energy waste and high redundancy in sensor data transmissions. The problems of power limitation and high redundancy in sensing coverage can be solved by appropriate scheduling of node activity among sensor nodes. In this paper, we propose a cellular automata based node scheduling algorithm for prolonging network lifetime with a balance of energy savings among nodes while achieving high coverage quality. Based on a cellular automata framework, we propose a new mathematical model for the node scheduling algorithm. The proposed algorithm uses local interaction based on environmental state signaling for making scheduling decisions. We analyze the system behavior and derive steady states of the proposed system. Simulation results show that the proposed algorithm outperforms existing protocols by providing energy balance with significant energy savings while maintaining sensing coverage quality.

• Journal of Biomedical Engineering Research
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• v.22 no.6
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• pp.543-550
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• 2001

In this study, ground reaction force(GRF) and energy consumption of fixed. single-axis and multi-axis Prosthetic ankle assemblies were investigated to show the biomechanical evaluation for trans-tibial amputees. In the experiments. two male and two female trans-tibial amputees were tested with fixed, sin91e-axis and multi-axis Prosthetic ankle assembly. A three-dimensional gait analysis was carried out to derive the ratio of GRF to weight as the percentage of total stance Phase for nine Points Energy consumption of each Prosthetic ankle assembly was measured while subjects walked at 2km/h. 3km/h and the most comfortable walking speed on the treadmill The results showed that multi-axis ankle was superior to the other two ankle assemblies for the characteristic of forwarding and breaking forces. Fixed ankle was relatively superior to the other two ankle assemblies for gait balancing and movement of the center fur mass Compared to the other ankle assembly. sing1e-axis type showed lower energy consumption over 2.3km/h walking speed .

• Journal of the Korean Institute of Gas
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• v.23 no.1
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• pp.36-40
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• 2019

In this study, we compared the operational rates of natural gas, coal, nuclear power and renewable energy based on the data of power generation and power generation facilities produced in summer season(from June to August) during the last four years(2015~2018). Nuclear power and coal power, which are responsible for basic power generation, were guaranteed to be economical as the actual generation capacity remained 60% higher than the cost of power generation. On the other hand, natural gas generation and new renewable energy generation have a very low actual operation rate of 29.5% and 27.3% compared to investments in power generation facilities, making it difficult to lower the cost of power generation. However, coal generation has structural problems in terms of greenhouse gas, fine dust. On the other hand, natural gas generation is relatively low and even though it is safe, it is difficult to secure economic feasibility as it is bound by a peak power system. Therefore, it is only possible to achieve balanced development of energy sources when there is a change in the development policy.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.293-301
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• 2022

Based on the VAM model of the consumer behavior research framework, combined with the altruistic variable of environmental awareness, this paper constructs a research model on the impact of perceived value, perceived risk and environmental awareness on purchase intention, and deeply analyzes the driving factors of perceived value and perceived risk. By collecting 612 valid questionnaires, data was analyzed by using SPSS 24.0 and AMOS 24.0, the results were concluded. Perceived usefulness, perceived entertainment, Technicality, and Energy Awareness all have a significant positive impact on the purchase intention of new energy vehicles; Perceived Fee has a negative impact on purchase intention. The results of this study can provide strategies for companies to improve marketing, reduce consumers' perceived risks, provide beneficial supplements to companies in promoting the environmental protection attributes of new energy vehicles and their own environmental protection efforts, and promote the balance of economic and environmental benefits.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.965-982
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• 2011

Currently, dependency of natural and energy resources on world economy may not be more serious than any before increasing the uncertainty of Korea's national economy, especially as China uses unexpectedly fast glowing portion of world resources. Due to insufficient natural resources and unmatured renewable energy system, it is very important for Korea to secure the energy sources not only for national prosperity but also security for the future. In this regard, importance and necessity of nuclear energy as a major electric power source in Korea are in need to be emphasized. Korea currently imports all the necessary enriched uranium for fabrication of nuclear fuel from abroad. Thus, it is extremely important to establish a secured supply system for enriched uranium regardless of the global political unstability as well as economic fluctuation. In order to build the nuclear fuel procurement system, it is required to analyze the global market status, current enrichment service systems, and the future technology under development. For this purpose, this study comparatively analyzes the laser based advanced technology for uranium enrichment under development in the United States, which is assumed to be 2~3 times more economically viable than currently available technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.649-651
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• 2018

Since the ubiquitous sensor network is not connected to external power source and operated by its own battery, it is required to maximize the network life using the efficient energy utilization. In a conventional hop count based routing protocol, most sensor nodes are designed with a constant transmission power. In this paper, we propose a routing protocol that prolongs the network lifetime by balancing the power consumption among the nodes by controlling the transmit power according to the residual power of the nodes, and compared the performance of the proposed routing protocol through computer simulations.