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정동열(Dongyeol Chung),이동규(Donggyu Lee),백종현(Jonh-Hyeon Peck),김정열(Jeong-Yeol Kim),강채동(Chaedong Kang) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.11
The improvement of the useful energy through the conversion of electric power into thermal energy(P2H) became one of the important issues. Among them, a method to reduce supercooling is being sought as a means to effectively store ice as a ice thermal energy storage system. This study investigated the relationship between the degree of supercooling and the particles through a cooling experiment of pure water containing additives (silica powder, kaolin powder) to understand the effect on the release of supercooling. The sample was constructed by putting each different additives (silica or kaolin) in a test tube and connecting a K-type thermocouple. The sample thus prepared was cooled through a low-temperature thermostat. As a result, it was confirmed that the particle type affects the degree of supercooling.
허장(Heo Jang),석현덕(Seok Hyundeok),차원규(Cha Wonkyu),이윤정(Lee Yoonjung),정동열(Jeong Dongyeol) 한국농촌경제연구원 2019 한국농촌경제연구원 기본연구보고서 Vol.- No.-
Background & Purpose of Research This is the first year report of multi-year research. It is to provide policy suggestions for enhancing ODA effectiveness in agriculture and forestry sectors, especially through focusing upon the private sector’s roles, and applying analytical tools of value chains and stakeholders. The main purpose of the research is, therefore, to provide in-depth strategic suggestions by analyzing current situations and challenges of carefully selected focus countries, and digging out key development cooperation areas. Research Method The first year, 2018, is devoted to developing research methodologies for the next years, and, from the second year, it is planned to establish strategic policy directions for the selected focus countries. With a comprehensive review of literature related with the research topics, statistical analysis process has been implemented to select focus countries. Out of databases, for instance, FAOSTAT, raw data on 143 developing countries were selected, weighted and aggregated. AHP analysis was adopted to decide weight of each category and indicator. Experts from domestic and international—Bangladesh and Azerbaijan—research institutes were requested to undertake researches on areas of cooperation and value chains. Face-to-face interviews were also used for in-depth understanding of situations of agriculture and forestry sectors of Paraguay and Bangladesh. Results and Implications By utilizing data from FAOSTAT of FAO, Databank of the World Bank, and others, related statistics were gathered on four categories, government policy, areas in which development cooperation is required, readiness of cooperation, and business conditions. AHP analysis produced weights for categories and indicators, and ultimately lists of focus countries were derived on the agriculture sector, forestry sector, and agriculture-forestry sector. For developing value chain analysis of the agricultural sector of developing countries, conceptual definition, points of difference from supply chain, methodology, analytical framework, and cases of USAID and the World Bank were reviewed and introduced. UNIDO’s five steps for value chain analysis were adopted to apply to agriculture and forestry sectors of developing countries: identification of objects, mapping, cost and benefit analysis, analysis on structural and dynamic factors, and strategy establishment. With regard to stakeholder analysis, methodological cases of British ODA and DFID, and KOICA were provided. In applying to the agriculture and forestry sector analysis, it is suggested to proceed the following phases: understanding project types and features, identifying and listing key stakeholders, grouping stakeholders and grasping their interests, checking possibilities of cooperation from stakeholders and their capacities, and forming a matrix to indicate influence and importance of stakeholders. Private sector development, PSD, is an emerging area for sustainable development cooperation and creation of new sources of fund. The level of support is classified as upper-stream (macro-level), mid-stream, and down-stream (micro-level), whereas areas of support are investment environment, infrastructure, and productive capacity. This research estimated current ODA budget assigned for PSD, which is 67 million USD in 2016 in terms of support level, and 81 million USD in terms of support areas; however, it was hard to find out any consistencies in yearly changes. The research also suggested potential areas of development projects for developing the private sector of partner countries. Development policy experiences and areas of comparative advantages of Korea were introduced as parts of guidelines for development cooperation strategy. Eight areas were figured out including rice productivity improvement, agricultural technology R&D and extension, forestation, and so forth. Tables of contents of strategic docu