• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.3
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• pp.219-238
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• 2014

This study attempted to investigate present condition and product planning of global eco-fashion brands that harmonize fashion and sustainability. As research subjects, this study selected 97 oversea fashion brands mentioned in books related to eco-fashion, Black(2011), Brown(2010), Fuad-luke(2009). As for research methods, materials and ethical practices of these selected 97 brands through literature data and their internet site homepages. This study analyzed oversea eco-brands collected 26 British brands, 22 American brands, 36 European brands such as Germany, France, Italy, Sweden, Spain, Finland and so on, except Britain and 13 other regions including Japan, India, Canada, Mexico, and New zealand. In conclusion, the product planning characteristics of these oversea eco-fashion brands can be summarized as follows; community and fair trade, ecological and slow design, recycle, reuse, redesign, and new eco-models. Firstly, brands of 'community and fair trade' manufactured products through fair trade and local community's artisan by ethical practices with organic fabrics. Secondly, brands of 'ecological and slow design' pursued timeless design and multi-functional design as luxury eco-fashion styles. They used organic textiles, hemp, bamboo, soya, tencell, sea cell, and self-sustaining plants. Thirdly, brands of 'recycle, reuse, redesign' aimed for upcycling high-end fashion and used vintage clothes, textile scraps, PET, parachutes, tires, safety belts, advertising banner and so on. In addition, brands of 'new models as eco-fashion' suggested zero-waste cutting, recycling over-printing technology, new sustainable business model, and ethical practices in the supply chain of the fashion industry.

• Journal of Korean Society for Quality Management
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• v.41 no.2
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• pp.197-208
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• 2013

Purpose: This study proposed a systematic approach to measure eco-efficiency of products based on the concept of quality function deployment(QFD). QFD method has been used to convert customer's subjective requirements to design specifications. A extension of QFD to environmental issues is known as quality environmental function deployment(QEFD). QEFD includes environmental requirements into customer's demand for quality, and incorporates them to design specifications of a product. Methods: In this study, we compared eco-efficiency of old and new models through application of QEFD. Results: The result revealed that the new model's eco-efficiency improved 24% better than the old model. Also, we found that user's Factor X of the new model has been improved to 1.178, which is about 18% better than that of the old model. Conclusion: This study implied that we can systematically use QEFD to determine eco-efficiency of two comparable products in any industries.

• Journal of the Korean housing association
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• v.12 no.4
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• pp.63-72
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• 2001

In this study, the basic concepts of future housing which can be applicable in the future were established in the change of the various elements such as social conditions, life style and the development of technology, etc. To apply this concepts, the HightEco(High Technology and Ecology) Apartment was presented as a new model. The characteristics of this HighEco Apartment are as follows. 1) 'Intelligent Housing' which are based on high technology and info information. 2）'Ecology Housing' which are based on environmental controls and energy savings. And, according to the analyzed results of the examples of apartment, the guidelines of the technical elements and differential models for the development of HightEco Apartment were presented.

• Journal of Hydrogen and New Energy
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• v.35 no.4
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• pp.437-450
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• 2024

Sustainable shipping depends on eco-friendly energy solutions. This paper reviews methods for predicting marine fuel cell performance, including empirical approaches, physical modeling, data-driven techniques, and hybrid methods. Accurate prediction models tailored to the marine environment's unique conditions are crucial for operational efficiency. By evaluating the strengths and weaknesses of each method, this study provides a comprehensive analysis of effective strategies for forecasting polymer electrolyte membrane fuel cell and solid oxide fuel cell performance in marine applications. These insights contribute to the advancement of eco-friendly shipping technologies and enhance fuel cell performance in challenging marine environments.

• STI Policy Review
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• v.4 no.1
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• pp.94-118
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• 2013

Innovation plays a large role in green growth. While it is a widely accepted view that, without innovation, it would be very difficult and costly to address major environmental issues, innovation itself tends to be constrained by limited access to eco-financing and is inherently risky, often requiring a long-term horizon. Although global consensus is more or less established as to the urgency and necessity of accelerating green innovation, the quality and quantity of financing in this area is largely insufficient, with increasing funding gaps in many countries. A new financial mechanism is urgently needed in order to re-orient financial flow and enable innovators to overcome the valleys of death that occur throughout the innovation cycle. A number of different modalities exist in financing the commercialisation of eco-innovation. Existing mechanisms have not been as successful as expected, revealing critical limits to furthering certain types of projects that are essential for economic and environmental progress. Experts' estimations have shown that the funding gap will widen in the coming years as demand for clean energy and green infrastructure rises, and as green technologies and innovation develop faster than the market for it can develop. Against this backdrop, the main purpose of this research is threefold: to identify issues and problems regarding current means of funding for eco-innovation and green projects; to provide insight into securing longterm green financing by looking at European cases; and ultimately to suggest policy implications for designing and implementing eco-specific financial instruments, focusing on governments' roles in sustainable financing for eco-innovation. This study analyses different models of financing mechanisms, a mix of public and private funds, in view of suggesting conditions for the sustainable financing of green projects, especially for large-scale high-risk projects. Based on the findings from the analyses of mechanisms and the shortcomings of the existing funding modalities, this study ultimately suggests policy implications for effectively supporting the commercialisation of eco-innovation.

• Korean Journal of Computational Design and Engineering
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• v.16 no.1
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• pp.31-40
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• 2011

Product-service system (PSS) is a system of products and service, supporting networks and infrastructure that is designed to be competitive. PSSs satisfy customers' needs more effectively and have a lower environmental impact than traditional business models. Therefore, many companies and governmental institutes are eager to implement the PSSs as a new business model. In this paper, we focus on industrial practices as new business models for the company. PSS, especially, is popular in electronic industry, so one can often observe such examples as iPod, iPhone, e-Book and etc in the field. We first thoroughly investigate the current practices of PSS in Korean electronic industry. The examples are surveyed and projected directions are given. Then, non-electronic PSSs are surveyed. Especially mechanical PSSs are intensively discussed. Based on the survey results, we propose several major development strategies of Sustainable PSS (SPSS). SPSS will bring a competitive edge for company as realization of sustainable development of PSS considering economy, society, and environment.

• International Area Studies Review
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• v.14 no.3
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• pp.205-219
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• 2010

In general, industrial production involves large amounts of harmful by-product, causing serious pollution and ecological risk. Eco-efficiency, which indicates how efficient the economic activity is by considering both the environmental risks and economic performance, is a new concept for economic sustainability analysis and quantitative ecological risk analysis. Data envelopment analysis (DEA) has been widely used to examine eco-efficiency in recent years. Whereas traditional DEA models such as CCR and BCC model neglect undesirable outputs, this paper adopts a stochastic undesirable-output DEA model to measure the eco-efficiency of each province of China and Korea. The results indicate that whereas the eco-efficiency of the eastern region was the highest, that of the western region was the lowest. The reason may come from the negative external dis-economies of environment. And thus the governmental efforts for outreach on the underdeveloped regions should be promoted.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.339-353
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• 2012

Mobile communication technology is advancing forward to deliver more connected devices and richer content and applications. The number of subscriptions continues to grow along with an explosive increase in the mobile data traffic demand. Thereby, it creates a significant network capacity shortage concerns for mobile network operators. In order to address this problem, it is essential to increase the network capacity at a low additional cost. The device-to-device (D2D) communication based proximity service is believed to have a promising future mobile communication technology that is capable to create new mobile service opportunities and offload traffic to the eNB. In addition, it is also required to develop new mobile communication services and its business models not only to accommodate the increasing mobile traffic demand but also to foster profitability of mobile business service providers such as the network providers, contents providers and platform providers. In this article, we first analyze current mobile business eco-system in the context of CPNT based value chain. Then, propose service development framework and business model creation methodologies for the device-to-device communication based services in the beyond LTE/LTE-Advanced systems.

• Journal of Hydrogen and New Energy
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• v.31 no.6
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• pp.558-563
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• 2020

Hydrogen is attracting attention as an alternative energy source as an eco-friendly fuel without emitting environmental pollutants. In order to use hydrogen as an energy source, technologies such as hydrogen production and storage must be used, and new storage methods are being studied. In this study, the behavior of hydrogen in the storage tank were numerically studied under high-pressure hydrogen discharge conditions in a Type III hydrogen tank. Numerical results were compared with the experimental value and the results were quantitatively analyzed to verify the numerical implementation. With the results of pressure and temperature values under a given discharge condition, the Redich-Kwong gas model showed the adequate models with the smallest error between numerical and experimental results.

• Communications for Statistical Applications and Methods
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• v.29 no.6
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• pp.709-719
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• 2022

Recently, as the importance of environmental protection has emerged, interest in new and renewable energy is also increasing worldwide. In particular, the solar energy sector accounts for the highest production rate among new and renewable energy in Korea due to its infinite resources, easy installation and maintenance, and eco-friendly characteristics such as low noise emission levels and less pollutants during power generation. However, although climate prediction is essential since solar power is affected by weather and climate change, solar radiation, which is closely related to solar power, is not currently forecasted by the Korea Meteorological Administration. Solar radiation prediction can be the basis for establishing a reasonable new and renewable energy operation plan, and it is very important because it can be used not only in solar power but also in other fields such as power consumption prediction. Therefore, this study was conducted for the purpose of improving the accuracy of solar radiation. Solar radiation was predicted by a total of three weather variables, temperature, humidity, and cloudiness, and solar radiation outside the atmosphere, and the results were compared using various models. The CatBoost model was best obtained by fitting and comparing the Boosting series (XGB, CatBoost) and RNN series (Simple RNN, LSTM, GRU) models. In addition, the results were further improved through Time series cross-validation.