• Economic and Environmental Geology
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• v.57 no.2
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• pp.219-231
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• 2024

A survey of concrete plants in Incheon Metropolitan City and Gyeonggi Province was used to conduct an analysis of aggregate transport distance and production forms, as well as to evaluate the features and current status of aggregates distribution. As a result, areas such as Incheon, Siheung, Bucheon, Gimpo, and Siheung, where the distance to the demand points is less than 20 km, exhibited bidirectional distribution whereas Paju, Yongin, Yangju, and Pocheon, with distances ranging from 20 to 50 km is showed a unidirectional distribution pattern supplying aggregates exclusively to Incheon. Survey on manufacturing forms, more than 85% of the gravel dispersed in the Incheon area is made up of crushed aggregates derived from rocks discharged at construction sites indicating a considerable skew in supply chain. These findings are predicted to have a detrimental influence on aggregate supply in the long run, necessitating policy changes targeted at building an optimal aggregate distribution market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.227-233
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• 2020

The demand for porous asphalt mixtures is increasing because it has a range of functions, such as reducing traffic accidents and traffic noise. On the other hand, its application is delayed due to concerns about durability. This study examined the effects of the maximum aggregate size, temperature, and porosity of an asphalt mixture on the durability. To this end, the durability measure was set to the Cantabro loss rate. Mixtures having the same porosity of 20% and the maximum aggregate diameters of 13 mm, 10 mm, and 8 mm were tested at 20℃ and -20℃. Mixtures containing 20% and 22% voids with the same material having the same diameter were tested. With 20% porosity, there was no significant difference in durability when there was a change in the maximum aggregate size. There was a significant difference between 20℃ and -20℃, but no significant difference in durability when there was a 2% difference between 20% and 22%. The significance of this study is that the durability was presented quantitatively by tests and statistical analysis. This research will help improve the durability of porous asphalt mixtures by evaluating the factors affecting the durability quantitatively.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.229-256
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• 2023

The increase in telecommuting and household electricity demand due to the pandemic has led to significant changes in electricity demand patterns. This has led to difficulties in identifying KEPCO's PPA (power purchase agreements) and residential solar power generation and has added to the challenges of electricity demand forecasting and grid operation for power exchanges. Unlike other energy resources, electricity is difficult to store, so it is essential to maintain a balance between energy production and consumption. A shortage or overproduction of electricity can cause significant instability in the energy system, so it is necessary to manage the supply and demand of electricity effectively. Especially in the Fourth Industrial Revolution, the importance of data has increased, and problems such as large-scale fires and power outages can have a severe impact. Therefore, in the field of electricity, it is crucial to accurately predict the amount of power generation, such as renewable energy, along with the exact demand for electricity, for proper power generation management, which helps to reduce unnecessary power production and efficiently utilize energy resources. In this study, we reviewed the renewable energy generation forecasting system, its objectives, and practical applications to construct optimal aggregated power resources using data from 169 power plants provided by the Ministry of Trade, Industry, and Energy, developed an aggregation algorithm considering the settlement of the forecasting system, and applied it to the analytical logic to synthesize and interpret the results. This study developed an optimal aggregation algorithm and derived an aggregation configuration (Result_Number 546) that reached 80.66% of the maximum settlement amount and identified plants that increase the settlement amount (B1783, B1729, N6002, S5044, B1782, N6006) and plants that decrease the settlement amount (S5034, S5023, S5031) when aggregating plants. This study is significant as the first study to develop an optimal aggregation algorithm using aggregated power resources as a research unit, and we expect that the results of this study can be used to improve the stability of the power system and efficiently utilize energy resources.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.143-150
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• 2014

Cloud computing is fast becoming the wave of the future for both home and business computing. Because of this growing acceptance, we can expect an explosion of diverse cloud service providers in the coming years. However, the cloud is not a single entity, rather it is a set of many disconnected islands of application (SaaS), infrastructure (IaaS), and different platform (PaaS) services. Cloud brokering mechanisms are essential to transform the heterogeneous cloud market into a commodity-like service. Cloud service brokers (CSBs) are the new form of business entities to help to aggregate the scattered set of cloud services and make conveniently available to their diverse users. CSBs can reserve a certain percentage of their clients' (users') demand and satisfy the remaining portion in an on-demand basis. In doing so, they need to minimize cost of both reserved and on-demand instances as well as the distance of a link between the cloud service provider (CSP) and the user. The study proposes a reservation approach with a mixed integer model to optimizes the cloud service cost and quality.

• Journal of Electrical Engineering and Technology
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• v.13 no.3
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• pp.1069-1078
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• 2018

Demand response (DR) programs give opportunity to consumers to manage their electricity bills. Besides, distribution system operator (DSO) is interested in using DR programs to obtain technical and economic benefits for distribution network. Since small consumers have difficulties to individually take part in the electricity market, an entity named demand response provider (DRP) has been recently defined to aggregate the DR of small consumers. However, implementing DR programs face challenges to fairly allocate benefits and payments between DRP and DSO. This paper presents a procedure for modeling the interaction between DRP and DSO based on a bilevel programming model. Both DSO and DRP behave from their own viewpoint with different objective functions. On the one hand, DRP bids the potential of DR programs, which are load shifting and load curtailment, to maximize its expected profit and on the other hand, DSO purchases electric power from either the electricity market or DRP to supply its consumers by minimizing its overall cost. In the proposed bilevel programming approach, the upper level problem represents the DRP decisions, while the lower level problem represents the DSO behavior. The obtained bilevel programming problem (BPP) is converted into a single level optimizing problem using its Karush-Kuhn-Tucker (KKT) optimality conditions. Furthermore, point estimate method (PEM) is employed to model the uncertainties of the power demands and the electricity market prices. The efficiency of the presented model is verified through the case studies and analysis of the obtained results.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.1
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• pp.1-15
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• 2017

This paper analyzes empirically how the three main industries (petrochemical industry, shipbuilding industry, automobile industry) that are driving the growth of Ulsan region in 2005~2013 have grown by what factors. For this purpose, we investigate the structural changes of the three main industries by using regional input-output tables announced by the Bank of Korea and examine the growth contribution rate of each industry that is divided into domestic final demand, export demand, import substitution for final goods, import substitution for intermediate goods and technological change, respectively. The growth rate of gross output and aggregate demand in petrochemical and automobile industries increased in 2010-1013 compared to 2005-2010, but the growth rate of gross output and aggregate demand in shipbuilding industry slowed down. As a result of analysis of factors contributing to the increase in gross output of the three main industries, export demand has the greatest effect. By industry, the rate of growth contribution of export demand in petrochemical industry is recorded as 209.23% in 2005-2010 and 113.78% in 2010-2013, respectively. The rate of growth contribution of export demand in automobile industry is recorded as 258.72% in 2005-2010 and 72.69% in 2010-2013, respectively. On the other hand, the rate of growth contribution of export demand in shipbuilding industry is recorded as 94.47% in 2005-2010, but it decreased to -255.32% in 2010-2013. Analysis of growth factors of Ulsan's three main industries is expected to serve as the basis for reorganizing related industrial policies and establishing them.

• Journal of Energy Engineering
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• v.20 no.3
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• pp.216-223
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• 2011

This paper presents an effective energy saving algorithm for lighting control systems using M&V method in various buildings and factories. It is important to aggregate a various demand side resource which is controllable at the peak power time to reduce the energy cost. Previous demand side algorithm appropriate for building is based on peak power. In this paper, we develop the new energy saving algorithm using M&V method to reduce the quantity of power consumption. The simulation results show that the proposed method is very effective.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2668-2670
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• 2004

This paper presents an advanced load control method in Direct Load Control(DLC) system. It is important to aggregate a various demand side resource which is surely controllable at the peak power time for a successful DLC system. Because the DLC system use simple On/Off control that may cause a harmful effect on a plant to reduce a peak power load, there are some restriction on deriving a voluntary participation of demand side resource. So it needs a new approach to direct load control method, and this paper describes an advanced load control method using control logic which is based on load properties. This method is easy to take account of a various characteristic of load, it can be use as a dynamic control logic which is good for adaptive control. The suggested control logic method is verified by modeling a control logic for a turbo refrigerator which affects on peak power in summer season.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.5-5
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• 2022

A little more than a decade ago, the International Rice Research Institute (IRRI) started on a journey of revitalization through adopting the concept of systems research. Instead of being just a rice breeding and affiliated sciences research center, it expanded its vision of impact on the rice-based food systems. In almost the same vein the OneCGIAR has also attempted to aggregate the commodity-based research into food systems-based research that critically caters to specific overarching 'Impact and Action Areas'. Incidentally, IRRI's structure and operations map on to these Impact and Action areas very well. Hence, IRRI's research directly caters to societal, economic and environmental sustainability. It does so through a coherent pipeline that spans the upstream discovery component all the way to product delivery, dissemination, and impact assessment. While a circular 5D-pipeline of demand, discovery, development, deployment and distinction attend to the ground-level realities of demand, development and acceptance of a product, the Four Flagships attend to proximal deliverables under challenging conditions of change brought about by the CGIAR restructuring and COVID-19. Prioritizing specific products under the flagships ensures that institutional support is available to fast-track the deliverables. Clear examples now highlight the potential of such approaches. Thus, despite the challenges of climate change, political unrest of war and global medical encumbrances, the stable partners of IRRI like Korea have helped to come close to deliverables.

• Economic and Environmental Geology
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• v.37 no.5
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• pp.555-568
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• 2004

The demand of aggregate resources in Korea has been increased with a rapid economic growth since the 1980s. About 25% of the total aggregate production is derived from riverine aggregates, 20% to 25% from marine sands, 40% to 45% from crushed aggregate and the rest 5% to 15% from old fluvial deposits. The abundance of crushed coarse aggregates varies in the uniform distribution of country, but in general it can be concentrated in the most densely populated areas, five main cities. Typical rock types of the Korean crushed stones are classified as plutonic rocks of 27%, metamorphic rocks of 32%, sedimentary rocks and volcanic rocks of 18%, respectively. The most abundant coarse aggregate used in the country is obtained from granite (25% of total) and subordinately gneiss (20%), sandstone (10%) and andesite (10%). Although rock types using as dimension stone are only fifteen, those as aggregate amount up to twenty nine rocks. These rocks consist of plutonic rocks such as granite, syenite, diorite, aplite, porphyry, felsite. dike and volcanic rocks such as rhyolite, andesite, trachyte, basalt, tuff, volcanic breccia and metamorphic rocks such as gneiss, schist, phyllite, slate, meld-sandstone, quartzite, hornfels, calc-silicate rock, amphibolite. And sandstone, shale, mudstone, conglomerate, limestone, breccia, chert are main aggregate sources in tile sedimentary rocks. The abundance of plutonic rocks is the highest in Chungcheongbuk-do, and decreases as the order of Jeollabuk-do, Gangwon-do and Gyeonggi-do. In Jeollanam-do, volcanic aggregates occupy above 50%, on the contrary sedimentary aggregates are above 50% in Gyeongsangnam-do.