• 정보보호뉴스
• /
• s.136
• /
• pp.44-47
• /
• 2009

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.6
• /
• pp.2763-2772
• /
• 2012

This study drew the reason of the limitation in low-carbon city plan from a absence of 'social sustainability' and supplemented its limitation by suggesting the new concept of city facility called Green Media. It clarified the concept of Green Media, and analyzed its effect on low-carbon city plan based on the analysis of related cases inside and outside the country. This study made an important step forward in introducing the new concept to complement social sustainability, analyzing its effect, and suggesting the applicable details.

• Journal of Digital Convergence
• /
• v.9 no.2
• /
• pp.141-152
• /
• 2011

The data center has become an increasingly important part of most business operations. An increasing demand for computation has led to increasing industry energy consumption. Therefore, higher-than-normal rates of energy efficiency have become a core issue in the life cycle of data center. In this paper, we proposed the framework of level diagnosis for green data centre that can be used to diagnose the levels of capability maturity model. This framework contains the 5 key areas such as construction, air-conditioning, electricity, information technology, organization and indicators that can be applied as basic level diagnosis guide for green data center.

• Current Photovoltaic Research
• /
• v.11 no.3
• /
• pp.75-78
• /
• 2023

Recently, the installation of photovoltaic modules in urban areas has been increasing. In particular, the demand for solar modules installed in a limited space is increasing. However, since the crystalline silicon solar module's size is proportional to the solar cell's size, it is difficult to manufacture a module that can be installed in a limited area. In this study, we fabricated a solar module with a shingled design that can control horizontal and vertical width using a bi-directional laser scribing method. We fabricated a string cell with a width of 1/5 compared to the existing shingled design string cells using a bi-directional laser scribing method, and we fabricated a solar module by connecting three strings in parallel. Finally, we achieved a conversion power of 5.521 W at a 103 mm × 320 mm area.

• Current Photovoltaic Research
• /
• v.10 no.1
• /
• pp.1-5
• /
• 2022

Bifacial photovoltaic (PV) technology has received considerable attention in recent years due to the potential to achieve a higher annual energy yield compared to its monofacial PV systems. In this study, we fabricated the bifacial c-Si PV module with a shingled design using the conventional patterned bifacial solar cells. The shingled design PV module has recently attracted attention as a high-power module. Compared to the conventional module, it can have a much more active area due to the busbar-free structure. We employed the transparent backsheet for a light reception at the rear side of the PV module. Finally, we achieved a conversion power of 453.9 W for a 1300 mm × 2000 mm area. Moreover, we perform reliability tests to verify the durability of our Shingled Design Bifacial c-Si Photovoltaic module.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2011.04a
• /
• pp.261-266
• /
• 2011

The purpose of this study was to identify the perception of residents on green home and their green residential life. For this study, a questionnaire survey was conducted and the items consisted of whether green home was perceived and how well green residential life was maintained in 6 types of environments. A total 118 responses of residents living in apartments of Seoul Metropolitan Area were used for data analysis. Using statistical program SPSS Win 18.0, frequency analysis, t-test, One-way ANOVA, and factor analysis was employed. The major findings were as follows: 1) slightly more than half of the respondents were aware of green home, and the vast majority were in favor of the green home policy; 2) most of the respondents carried out guidelines of green residential life, and in particular, green living on air environment was well done, followed by consumption, waste, energy, traffic and water; 3) the six kinds of environments were subcategorized by using factor analysis, and 3 to 5 factors were included in each category of environment. Also, it was found that age, educational level, employment status of respondents, housing tenure and duration were related to the degree of green residential life. In midst of global movement toward sustainability, environmentally friendly living is not optional but mandatory, so it's important to change each individual's value on the relation between people and environment and to facilitate more environmentally conscious behaviors.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.10
• /
• pp.4799-4804
• /
• 2013

Green IT technology for the growth of low-carbon green environment and future development of the new technology. Therefore, in this paper, data generated by the security module for RFID applications, smart green building Sung multi-function sensor integrated module that can be integrated environment for building monitoring and management system has been developed. The development of a thermal sensor, temperature sensor, smog sensor, CO2 sensor, O2 sensor, tension sensor and damage detection sensor module with integrated system module integrated multi-functional sensors implemented in the paper. In real-time monitoring by allowing was design and developed system that can be implemented smart green building environment for the environment inside buildings.

• Transactions of the Korean hydrogen and new energy society
• /
• v.30 no.3
• /
• pp.237-242
• /
• 2019

In the hydrogen refueling station (HRS), it is need the pre-cooling system (PCS) to limit the inside temperature ($85^{\circ}C$) of the onboard thank (700 bar) and to charge the hydrogen at short time (within 3 minutes) to fuel cell electric vehicle (FCEV). From those safety reasons, the temperature of hydrogen gas must be controled $-33^{\circ}C$ to $-40^{\circ}C$ in PCS. The cooling test of the gaseous ($N_2$, He, $H_2$) was carried out using heat exchanger (pre-cooler) by indirect cooling and direct cooling method. It was confirmed that the temperature of hydrogen gas had below $-40^{\circ}C$ at below $-75^{\circ}C$ of chiller temperature in direct cooling.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.49 no.5
• /
• pp.79-96
• /
• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.3
• /
• pp.17-25
• /
• 2011

Green IT, composed term with Green and Information Technology(IT), use IT for energy savings and carbon emission reductions. Green IT went beyond the scope of greening IT, and recently it's concept is expanded as far as counterplan of climate change including greening other industries by IT. 85% of total greenhouse gas emissions from the energy sector and 20% of them comes from transport parts, so it is time to research IT for automotive industry. In this paper, we take up the knowledge based fuzzy logic to provide life cycle analysis associated with greenhouse gas emissions for industry produced warranty claims frequently such as automobile industry. We propose a analysis method of warranty claims using expert knowledge about the warranty in car exhaust systems related to greenhouse gas emissions, past test results of malfunction, analysis of past field data, and warranty data. Furthermore, we propose life knowledge-based GWS (Greenery Warranty System). We demonstrate the applicability of IT in eco-friendly automotive industry by implementing knowledge-based fuzzy logic and applying.