• Title/Summary/Keyword: energy scenario

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Considerations of the Optimized Protective Action Distance to Meet the Korean Protective Action Guides Following Maximum Hypothesis Accidents of Major KAERI Nuclear Facilities

  • Goanyup Lee;Hyun Ki Kim
    • Journal of Radiation Protection and Research
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    • v.48 no.1
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    • pp.52-57
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    • 2023

  • Background: Korea Atomic Energy Research Institute (KAERI) operates several nuclear research facilities licensed by Nuclear Safety and Security Commission (NSSC). The emergency preparedness requirements, GSR Part 7, by International Atomic Energy Agency (IAEA) request protection strategy based on the hazard assessment that is not applied in Korea. Materials and Methods: In developing the protection strategy, it is important to consider an accident scenario and its consequence. KAERI has tried the hazard assessment based on a hypothesis accident scenario for the major nuclear facilities. During the assessment, the safety analysis report of the related facilities was reviewed, the simulation using MELCOR, MACCS2 code was implemented based on a considered accident scenario of each facility, and the international guidance was considered. Results and Discussion: The results of the optimized protective actions were 300 m evacuation and 800 m sheltering for the High-Flux Advanced Neutron Application Reactor (HANARO), the evacuation to radius 50 m, the sheltering 400 m for post-irradiation examination facility (PIEF), 100 m evacuation or sheltering for HANARO fuel fabrication plant (HFFP) facility. Conclusion: The results of the optimized protective actions and its distances for the KAERI facilities for the maximum postulated accidents were considered in establishing the emergency plan and procedures and implementing an emergency exercise for the KAERI facilities.

  • https://doi.org/10.14407/jrpr.2021.00381 인용 PDF

A Fundamental Study on the Construction Scenario for Prediction of Carbon Emissions in Construction Site (건설현장 시공과정의 탄소배출량 예측 시나리오 구축에 관한 연구)

  • Lee, Chung-Won;Lim, Hyo-Jin;Tae, Sung-Ho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.247-248
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    • 2023

  • As carbon neutrality becomes an issue around the world, research is actively being conducted to achieve reduction targets for each industry by declaring 2050 carbon neutrality in Korea and implementing the greenhouse gas target management system and emission trading system. The construction industry quantitatively predicts and evaluates carbon emissions by stages through the evaluation of the entire building process, but research on this is insufficient in the case of the construction process. Therefore, as part of the research on predicting and reducing carbon emissions generated at construction sites, data from actual construction sites were collected to analyze the facilities and characteristics of each energy source, and a scenario was proposed to quantitatively predict the use of each energy source.

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Energy-Efficiency of Distributed Antenna Systems Relying on Resource Allocation

  • Huang, Xiaoge;Zhang, Dongyu;Dai, Weipeng;Tang, She
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1325-1344
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    • 2019

  • Recently, to satisfy mobile users' increasing data transmission requirement, energy efficiency (EE) resource allocation in distributed antenna systems (DASs) has become a hot topic. In this paper, we aim to maximize EE in DASs subject to constraints of the minimum data rate requirement and the maximum transmission power of distributed antenna units (DAUs) with different density distributions. Virtual cell is defined as DAUs selected by the same user equipment (UE) and the size of virtual cells is dependent on the number of subcarriers and the transmission power. Specifically, the selection rule of DAUs is depended on different scenarios. We develop two scenarios based on the density of DAUs, namely, the sparse scenario and the dense scenario. In the sparse scenario, each DAU can only be selected by one UE to avoid co-channel interference. In order to make the original non-convex optimization problem tractable, we transform it into an equivalent fractional programming and solve by the following two sub-problems: optimal subcarrier allocation to find suitable DAUs; optimal power allocation for each subcarrier. Moreover, in the dense scenario, we consider UEs could access the same channel and generate co-channel interference. The optimization problem could be transformed into a convex form based on interference upper bound and fractional programming. In addition, an energy-efficient DAU selection scheme based on the large scale fading is developed to maximize EE. Finally, simulation results demonstrate the effectiveness of the proposed algorithm for both sparse and dense scenarios.

  • https://doi.org/10.3837/tiis.2019.03.012 인용 PDF KSCI HTML

MODELING OF HUMAN INDUCED CO2 EMISSION BY ASSIMILATING GIS AND SOC10-ECONIMICAL DATA TO SYSTEM DYNAMICS MODEL FOR OECD AND NON-OECD COUNTRIES

  • Goto, Shintaro
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.3-8
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    • 1998

  • Using GIS and socio-economical data the relationship between human activities and global environmental change Is Analysed from the view point of food productivity and CO2 emission. Under the assumption that the population problem, the food problem and global warming due to energy consumption can be stabilized through managing land use, impacts of human activities such as consumption of food, energy and timber on global environment changes, and global population capacity are Analysed using developed system dynamics model in the research. In the model the world is divided into two groups: OECD countries and the others. Used global land use data set Is land cover map derived from satellite data, and potential distribution of arable land is estimated by the method of Clamor and Solomon which takes into consideration spatial distribution of climate data such as precipitation and evapotranspiration. In addition, impacts of CO2 emission from human activities on food production through global warming are included in the model as a feedback. The results of the analysis for BaU scenario and Toronto Conference scenario are similar to the results of existing models. From the result of this study, the human habitability in 2020 is 8 billion people, and CO2 emission in 2020 based on BaU Scenario and on Toronto Scenario is 1.7 and 1.2 times more than the 1986's respectively. Improving spatial resolution of the model by using global data to distribute the environmental variables and sauce-economical indices is left for further studies.

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