• Korean Journal of Community Nutrition
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• v.15 no.4
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• pp.485-497
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• 2010

The purpose of this study was to investigate effects of the developed nutrition education program focused on individual daily energy requirements and food exchange units using Food Exchange System for diabetes mellitus at a community health center. Developed the nutrition education program, four weeks' nutrition education including provided twice individual meal as diet therapy (2 hour/lesson/week, 4 week), was provided to 20 diabetic elderly (12 male, 8 female, 50-75 yrs): 1st lesson "Introduction: management of diabetes mellitus", 2nd lesson "6 Food groups and sources of 6 food groups", 3rd lesson "Individual daily energy requirements and food exchange units", and 4th lesson "Food choice for diabetes mellitus". For effects' analysis of the developed program, we assessed the changes in anthropometric characteristics; biochemical characteristics and nutrient intakes using 24 hr recall method. Effects of the developed nutrition education program were as follows: weight was significantly decreased, blood urea nitrogen (BUN) and glycosylated hemoglobin (HbA1c) were significantly decreased, and distribution of subjects in BUN and HbA1c was significantly changed. In protein : fat : carbohydrate (PFC) ratio, it was significantly changed from 15.98 : 16.30 : 66.69 to 17.51 : 18.94 : 64.10. In evaluation of nutrient intakes by Dietary Reference Intakes for Koreans (KDRI), protein, fiber, fat, vitamin E, niacin, folic acid, calcium and zinc were shown significantly positive changes in distribution of subjects according to intake level. The index of nutrition quality (INQ), nutrition adequacy ratio (NAR) and mean nutrition adequacy ratio (MAR) were significantly increased. In conclusion, the developed 4 weeks' nutrition education program focused on individual daily energy requirements and food exchange units using Food Exchange System for diabetes mellitus at community health center may improve the symptom of diabetes mellitus.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.6
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• pp.669-674
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• 2012

D-Cube City is a recently completed multi purpose building consisting of four types of facilities; offices, a department store, a hotel, and congregation spaces. A community energy supply system(CES) has been installed to supply this building with electricity, steam, heat, and cold water. The BEMS, building energy management system, is currently being designed to reduce building energy consumption through the efficient operation of the various pieces of building service equipment. In this study the optimal methods for operating the CES of D-Cube City were considered. This system includes three combined heat and power systems, seven steam boilers, two hot water boilers, two absorption chillers, and four turbo chillers, and various other pieces of equipment. In result, the optimal methods of operating the CES for various energy demand levels were obtained along with the seasonal effects on the economic efficiency of the operation. The effect of the amount of energy demanded by the various facility areas on the total energy consumption was also analyzed.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.184-189
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• 2009

In order to improve the operation of energy systems, it is necessary for the urban communities to have reliable optimization routines, both computerized and manual, implemented in their organizations. However, before a production plan for the energy system units can be constructed, a prediction of the energy systems first needs to be determined. So, several methodologies have been proposed for energy demand prediction, but due to uncertainties in urban community, many of them will fail in practice. The main topic of this paper has been the development of a method for energy demand prediction at urban community. Energy demand prediction is important input parameters to plan for the energy planing. This paper presents a energy demand prediction method which estimates heat and electricity for various building categories. The method has been based on artificial neural networks(ANN). The advantage of ANN with respect to the other method is their ability of modeling a multivariable problem given by the complex relationships between the variables. Also, the ANN can extract the relationships among these variables by means of learning with training data. In this paper, the ANN have been applied in oder to correlate weather conditions, calendar data, schedules, etc. Space heating, cooling, hot water and HVAC electricity can be predicted using this method. This method can produce 10% of errors hourly load profile from individual building to urban community.

• The Magazine for Energy Service Companies
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• s.39
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• pp.16-19
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• 2006

• Proceedings of the KIEE Conference
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• summer
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• pp.120-122
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• 2004

This paper analyse impacts of Community Energy System (CES) on the grid during transition periods for integrating of the CES and the grid. In the near future, CES might be one of major energy supply structures. The basic concept of CES is that it supplies electrical and thermal energy to the local customer loads through the islanded power network separated from the grid. Therefore, the interconnection with the grid occurs only when the energy supply from the CES generators does not meet the demand of the local load. For avoiding impacting the grid during the transition operation modes of CES, it is necessary to thoroughly analyse the influences on the grid during those periods. In order to show them, in this paper, we model the CES with 2.34 WVA DG and simulate the impacts on the grid due to interconnection of CES The simulation results show that, in order to reduce bad influences of CES on the grid, CES need the efficient load management and generation control schemes during the transition periods.

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.258-260
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• 2004

This paper analyse a operating characteristics when the Community Energy System (CES) is operated islanding mode. In the near future, CES might be one of major energy supply structures. The basic concept of CES is that it supplies electrical and thermal energy to the local customer loads through the islanded power network separated from the grid. The CES must be supplying local load with stable energy on the islanding mode, analysing necessary to thoroughly the operation feature. In order to show them, in this paper, we model the CES with 2.34 MVA DG and simulate the operating feature on the islanding mode of CES. The simulation results show that, in order to stability operate, the CES need the efficient load management and generation control schemes during the transition periods.

• Proceedings of the KIEE Conference
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• summer
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• pp.123-125
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• 2004

This paper describes an optimal configuration of Community Energy System (CES) for the multi-energy consumers and analyzes economical feasibility for such system. The most of previous feasibility studies for Co-Generation plants of CES in Korea have shown negative results due to the abnormally low price of power rate in Korea. However, in order to overcome this situation a new approach was examined in this Paper. The efforts of this approach the selection of the low price but reliable facility and maximizing the capacity factor of the facility. MGT was selected in view of low price and good reliability. In order to maximize the capacity factor the system capacity should be quite lower than the actual required Electrical and Heat load of the subject entity. In this report 100 kW Co-Generation facility was selected in view of conservative analysis. The results of the analysis showed that pay back period may vary from 4 to 5 yens according to the application of LNG rates whether it is to-generation rate or the normal business rate. With the analysis in this paper we confirmed that CES is feasible even in Korea if we do not insist to select the capacity of CES to cover all the energy required but select a smaller size of CES compared to the actual requirement, which can allow full load operation of the system continuously.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.2
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• pp.47-56
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• 2008

The purpose of this study is to arrange the design elements and methods for sustainable community. After made the concept of sustainable community clear in the contemporary architecture and urban design, this study examines rural ecovillage, urban demonstration project, co-housing, new urbanism and urban village, and ecological township as the application modes of sustainable community. Through the cases of the application mode, the design elements for sustainable community were summarized as the followings: the symbiosis system with the nature, permaculture and edible landscape, identity, the technology for saving of resources and energy, the traffic system for the reduction of private motor use, mixed use development, and the housing with diversity. And the design methods for sustainable community were summarized as the followings: strategic planning, visioning, community action planning, workshops and charrette, environmental evaluation, and participation techniques.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.127-132
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• 2009

A Microsoft Access application program is developed to calculate energy demands for a Community Energy System (CES) composed of various types of buildings. The field-measured heating, hot water, cooling, and electricity energy consumptions for 14 types of building are systematically organized in forms of database and hourly loads for a span of year (8760 hours) are generated through an automated statistical procedure. User-friendly standard windows interfaces are provided to assist non-expert end users.

• World Technopolis Review
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• v.7 no.2
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• pp.113-124
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• 2018

Since the term smart city was coined, theories and practices of smart cities have flourished. Regarding the theoretical aspect, user-driven innovation has been discussed in studies on the innovation ecosystems of smart cities. Smart cities have been built in various countries around the world in recent years, including in Japan, which has experienced the same global trends in smart cities since 2010. Four smart community projects run by the Agency for Natural Resources and Energy between 2010 and 2014 followed such trends. The present study addressed user-driven innovation using the quadruple helix model as an analytical framework for the four smart community projects, and the outcomes of the projects were evaluated. In conclusion, the smart community projects were evaluated as successful. However, it was revealed that these projects were not completely conducive to user-driven innovation.