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Oh, Eunsung,Son, Sung-Yong IEEE 2017 IEEE transactions on consumer electronics Vol.63 No.2
<P>With advanced technology such as the Internet of Things, traditional consumer electronics are progressing not only toward personal devices but also sharable appliances that provide more coordinated management and intelligence. Under these conditions, the concept of consumer electronics as a service (CEaaS) has been introduced. In this paper, a framework for CEaaS is described. Specifically, an architecture and operational technology are suggested for a clustered energy storage system (ESS) that is shared among multiple households as a case of CEaaS. In multi-dwelling units that are common in urban areas, a clustered ESS installed in a shared space is considered because it is difficult to have sufficient space to install and operate an ESS at home. To operate a clustered ESS that is shared and virtually integrated among individual houses, the proposed architecture is designed in two phases: benefit maximization for all households, and benefit rebalancing for each household. Simulations show that clustered ESS operation based on the proposed architecture outperforms a conventional individual ESS operation in various conditions considering the characteristics of the household and appliances.</P>
Eunsung Oh,Jong-Bae Park,Sung-Yong Son 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.6
In this paper, we investigate a group building based power consumption scheduling to minimize the electricity cost. We consider the demand shift to reduce the peak load and suggest the compensation function reflecting the relationship between the change of the building demand and the occupants’ comfort. Using that, the electricity cost minimization problem satisfied the convexity is formulated, and the optimal power consumption scheduling algorithm is proposed based on the iterative method. Extensive simulations show that the proposed algorithm achieves the group management gain compared to the individual building operation by increasing the degree of freedom for the operation.
Toward dynamic energy-efficient operation of cellular network infrastructure
Eunsung Oh,Krishnamachari, B,Xin Liu,Zhisheng Niu IEEE 2011 IEEE communications magazine Vol.49 No.6
<P>The operation of cellular network infrastructure incurs significant electrical energy consumption. From the perspective of cellular network operators, reducing this consumption is not only a matter of showing environmental responsibility, but also of substantially reducing their operational expenditure. We discuss how dynamic operation of cellular base stations, in which redundant base stations are switched off during periods of low traffic such as at night, can provide significant energy savings. We quantitatively estimate these potential savings through a first-order analysis based on real cellular traffic traces and information regarding base station locations in a part of Manchester, United Kingdom. We also discuss a number of open issues pertinent to implementing such energy-efficient dynamic base station operation schemes, such as various approaches to ensure coverage, and interoperator coordination.</P>
Oh, Eunsung,Park, Jong-Bae,Son, Sung-Yong The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.6
In this paper, we investigate a group building based power consumption scheduling to minimize the electricity cost. We consider the demand shift to reduce the peak load and suggest the compensation function reflecting the relationship between the change of the building demand and the occupants' comfort. Using that, the electricity cost minimization problem satisfied the convexity is formulated, and the optimal power consumption scheduling algorithm is proposed based on the iterative method. Extensive simulations show that the proposed algorithm achieves the group management gain compared to the individual building operation by increasing the degree of freedom for the operation.
A new method for cost-effective demand response strategy for apartment-type factory buildings
Oh, Eunsung,Kwon, Youngmin,Son, Sung-Yong Elsevier 2017 Energy and buildings Vol.151 No.-
<P><B>Abstract</B></P> <P>A demand response (DR) program for buildings is widely considered an effective way to improve energy efficiency using various potential resources, such as heating, ventilation, and air conditioning (HVAC) systems and distributed generators. This study presents a method for a cost-effective DR strategy for apartment-type factory buildings composed of individually owned cells. An apartment-type factory building has high energy density but there is limited control over the energy usage of each cell. To design the DR strategy, an energy response factor is defined, taking into account the energy consumption changes of each cell in relation to the outdoor temperature. Based on that, an optimization problem for the DR program participation is formulated by minimizing the total costs and an optimal DR strategy is proposed. The proposed DR strategy is based on the selection of the cells for the DR participants and their capacity. A case study using three apartment-type buildings in Korea shows that the proposed DR strategy can achieve the cost reduction of up to 67.4% on average compared to a conventional DR approach.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A method for a DR strategy for apartment-type factory buildings is proposed to minimize the DR cost. </LI> <LI> The proposed method determines the optimal set of DR participants and the DR capacity of each participant. </LI> <LI> The proposed method does not require detailed information about demand, but operates on the aggregated demand measured for the billing. </LI> <LI> Numerical result using a case study involving three apartment-type buildings in Korea shows the proposed method can achieve the cost reduction of up to 67.4% on average compared to a conventional DR approach. </LI> </UL> </P>
Distributed Cell Configuration Strategy for Macro/Micro Overlaid Hierarchical Cellular Systems
Eunsung Oh 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.9
This paper presents cell configuration strategies for orthogonal frequency division multiple access (OFDMA) based hierarchical cellular systems (HCS). We consider two cases: the symmetric case that HCS is used to extend the data rate coverage and the asymmetric case that HCS is applied to cover the hot spot. We formulate the cell configuration strategy problem with spectral reuse planning and channel allocation constraints, and suggest solutions for each case. The numerical results show that HCS can improve the system stability in the symmetric case and enhance the system performance about two times rather than that of the conventional cellular system, when the hot spot is created at the macro-cell edge in the asymmetric case. In addition, we describe that the co-channel interference from macro-cell base stations (BSs) are the dominant factor of system performance, but that from microcell, BSs can be negligible.
Eunsung Oh,Seungyoup Han,Choongchae Woo,Daesik Hong IEEE 2008 IEEE TRANSACTIONS ON COMMUNICATIONS Vol.56 No.10
<P>This letter presents a call admission control (CAC) strategy for system throughput maximization in wireless uplink systems. This strategy considers not only the call-level quality of service (QoS) (i.e., blocking probability) but also the packet-level QoS (i.e., outage probability). Using the statistical co-channel interference (CCI) model and state diagram, the outage probability and the blocking probability are investigated as a function of the relative traffic load. We formulate the CAC strategy problem based on relative traffic load, and suggest a solution. The numerical results show that maximum system throughput can be achieved by controlling the relative traffic load. In addition, we illustrate the region where system throughput is constrained by call- and packet-level QoSs. This examination shows that the call and packet-level QoSs must be considered together to achieve maximum system throughput.</P>
Toward dynamic energy management for green manufacturing systems
Oh, Eunsung,Son, Sung-Yong IEEE 2016 IEEE communications magazine Vol.54 No.10
<P>The manufacturing industry is responsible for significant energy consumption, particularly in the form of electricity. From the perspective of the energy management system in manufacturing, reducing this consumption is not only a matter of exhibiting environmental responsibility, but also of substantially reducing the production cost. We discuss how dynamic energy management in manufacturing systems can not only solve the current technical issues in manufacturing, but can also aid in the integration of additional energy equipment into energy systems. We quantitatively estimate these potential savings through analysis of a simple manufacturing process. We also address a future research direction, wherein advanced manufacturing systems such as Industry 4.0 are deployed.</P>