• Title/Summary/Keyword: Power resource

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A Study on Establishment of Technical Guideline of the Installation and Operation for the Biogas Utilization of Power Generation and Stream - Results of the Field Investigation (바이오가스 이용 기술지침 마련을 위한 연구(I) - 현장조사 결과 중심으로)

  • Moon, HeeSung;Bae, Jisu;Park, Hoyeun;Jeon, Taewan;Lee, Younggi;Lee, Dongjin
    • Journal of the Korea Organic Resources Recycling Association
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    • v.26 no.1
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    • pp.55-64
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    • 2018
  • The purpose of this study is to provide a design and operation technical guideline for meeting the appropriate design criteria to biogas utilization treating organic wastes. In accordance with the government's mid-to long-term policies on bio-gasification and energization of organic wastes, the expansion of the waste-to-energy (WTE) facilities is being remarkably promoted. However, because of the limitation of livestock manure containing low-concentration of volatile solids, there has been increased in combined bio-gasification without installing new anaerobic digestion facilities. The characteristics and common problems of each treatment processes were investigated for on-going 11 bio-gasification facilities. The seasonal precision monitoring of chemicophysics analysis on anaerobic digestor samples was conducted to provide guidelines for design and operation according to the progress of biogas utilization. Consequently, Major problems were investigated such as large deviation of organic materials depending on seasons, proper dehumidification of biogas, pretreatment of hydrogen sulfide, operation of power generation and steam. This study was conducted to optimize biogas utilization of type of organic waste(containing sewage sludge and food waste, animal manure), research the facilities problem through field investigation.

GAME MODEL AND ITS SOLVING METHOD FOR OPTIMAL SCALE OF POWER PLANTS ENTERING GENERATION POWER MARKET

  • Tan, Zhongfu;Chen, Guangjuan;Li, Xiaojun
    • Journal of applied mathematics & informatics
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    • v.26 no.1_2
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    • pp.337-347
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    • 2008
  • Based on social welfare maximum theory, the optimal scale of power plants entering generation power market being is researched. A static non-cooperative game model for short-term optimization of power plants with different cost is presented. And the equilibrium solutions and the total social welfare are obtained. According to principle of maximum social welfare selection, the optimization model is solved, optimal number of power plants entering the market is determined. The optimization results can not only increase the customer surplus and improve power production efficiency, but also sustain normal profits of power plants and scale economy of power production, and the waste of resource can also be avoided. At last, case results show that the proposed model is efficient.

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Joint Spectrum and Power Allocation for Green D2D Communication with Physical Layer Security Consideration

  • Chen, Hualiang;Cai, Yueming;Wu, Dan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.3
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    • pp.1057-1073
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    • 2015
  • In this paper, we consider cooperative D2D communications in cellular networks. More precisely, a cellular user leases part of its spectrum to facilitate the D2D communication with a goal of improving the energy efficiency of a D2D pair. However the D2D pair is untrusted to the cellular user, such resource sharing may result in the information of this cellular user unsecured. In order to motivate the cellular user's generosity, this D2D pair needs to help the cellular user maintain a target secrecy rate. To address this issue, we formulate a joint spectrum and power allocation problem to maximize the energy efficiency of the D2D communication while guaranteeing the physical layer security of the cellular user. Then, a theorem is proved to indicate the best resource allocation strategy, and accordingly, an algorithm is proposed to find the best solution to this resource allocation problem. Numerical results are finally presented to verify the validity and effectiveness of the proposed algorithm.

Joint Relay Selection and Resource Allocation for Cooperative OFDMA Network

  • Lv, Linshu;Zhu, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.11
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    • pp.3008-3025
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    • 2012
  • In this paper, the downlink resource allocation of OFDMA system with decode-and-forward (DF) relaying is investigated. A non-convex optimization problem maximizing system throughput with users' satisfaction constraints is formulated with joint relay selection, subcarrier assignment and power allocation. We first transform it to a standard convex problem and then solve it by dual decomposition. In particular, an Optimal resource allocation scheme With Time-sharing (OWT) is proposed with combination of relay selection, subcarrier allocation and power control. Due to its poor adaption to the fast-varying environment, an improved version with subcarrier Monopolization (OWM) is put forward, whose performance promotes about 20% compared with that of OWT in the fast-varying vehicular environment. In fact, OWM is the special case of OWT with binary time-sharing factor and OWT can be seen as the tight upper bound of the OWM. To the best of our knowledge, such algorithms and their relation have not been accurately investigated in cooperative OFDMA networks in the literature. Simulation results show that both the system throughput and the users' satisfaction of the proposed algorithms outperform the traditional ones.

Radio Resource Management Algorithm for Uplink Coordinated Cooperative Spatial Multiplexing (셀 간 협동 CSM에서 상향 링크 용량 개선을 위한 자원 할당 알고리즘)

  • Mun, Cheol;Jo, Han-Shin
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.21 no.11
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    • pp.1311-1317
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    • 2010
  • In this paper, for a uplink space division multiple access system named cooperative spatial multiplexing(CSM), radio resource management(RRM) algorithms are proposed based on sharing uplink channel information among a serving base station(BS) and interfering BSs in a uplink coordinated wireless communication system. A constrained maximum transmit power algorithm is proposed for mobile station(MS) to limit uplink inter-cell interference(ICI). And joint scheduling algorithm among coordinated BSs is proposed to enhance uplink capacity through ICI mitigation by using channel information from interfering BSs. It is shown that the proposed RRM algorithm provides a considerable uplink capacity enhancement by effective ICI mitigation only with moderate complexity.

ObjectPeerWork : Framework for the Development of Peer-to-Peer Applications based on Shared Object Model (ObjectPeerWork : 공유 객체 모델 기반의 피어투피어 어플리케이션 개발을 위한 프레임워크)

  • Kang, Un-Gu;Wang, Chang-Jong
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.6
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    • pp.630-640
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    • 2001
  • In this paper, we describe the design and implementation of ObjectPeerWork, which is a framework for the development of shared object model-based P2P(Peer-to-Peer) applications. The shared object model can prevent the computing power decrease on the way of resource management by incorporating the resource management function into resources themselves, and raise reliability on shared resources by improving the security problems. Also this model assures expandability by means of distributed component-based request broker manager and module container. The ObjectPeerWork based on this shared object model is a framework which makes the implementation of the enterprise information system possible, and makes distribution of the computing power and efficient resource management possible by improving the weakness in the general P2P model.

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Resource Allocation Method for Improving Energy Efficiency and Receiver Fairness in Wireless Networks (무선 네트워크의 전력 효율성과 수신기 공평성 향상을 위한 자원 할당 방안)

  • Lee, Kisong;Cho, Dong-Ho;Chung, Byung Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.5
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    • pp.826-832
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    • 2015
  • In wireless networks, it is important to guarantee the energy efficiency and receiver fairness for satisfying service provider and customer at the same time. In this paper, we propose a resource allocation algorithm which improves energy efficiency as well as receiver fairness based on optimization techniques. In the proposed algorithm, subchannel and power are allocated to receivers iteratively in the consideration of channel state information, amount of dissipated power, and receiver rate, in order to improve energy efficiency and receiver fairness. Through simulation, we show the effectiveness and superiority of the proposed algorithm in terms of energy efficiency and receiver fairness.

Suppressive Effects of Fucoxanthin on Degranulation in IgE-antigen complex-stimulated RBL-2H3 Cells

  • NamKoong, Seung;Joo, Hae-Mi;Jang, Seon-A;Kim, Ye-Jin;Kim, Tae-Seong;Sohn, Eun-Hwa
    • Korean Journal of Plant Resources
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    • v.25 no.3
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    • pp.339-345
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    • 2012
  • The marine carotenoid fucoxanthin can be found in marine brown seaweeds, macroalgae, diatoms, and microalgae, and has remarkable biological properties. Numerous studies have shown that fucoxanthin has considerable potential and promising applications in human health, but the underlying mechanisms involved in its anti-allergic activity are not fully understood. We here investigated the mechanisms by anti-allergic activity of fucoxanthin fraction from Eisenia bicyclis in immunoglobulin E-antigen complex (IgE/DNP-BSA)-stimulated RBL-2H3 mast cells. This study we found that the fucoxanthin inhibits the release of ${\beta}$-hexosaminidase and suppressed not only transcriptional activation of NF-${\kappa}B$, but also phosphorylation of ERK and JNK in IgE/DNP-BSA-treated RBL-2H3 cells. Fucoxanthin may be useful for preventing allergic diseases, including asthma and atopic dermatitis.

Design of Sensor System for power measuring of Distributed Energy Resource (해양도시내 분산전원 전력 계측용 센서 시스템)

  • Son, Ji-Hoon;Jang, Nak-Won;Park, Jeong-Do;Lee, Sung-Hwan;Doe, Geun-Young;Yee, Jurng-Jae
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2009.06a
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    • pp.289-290
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    • 2009
  • In this paper we designed the sensor system that is based on the PT, CT and microprocessors for measuring power of distributed energy resource of ocean side.

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A Joint Allocation Algorithm of Computing and Communication Resources Based on Reinforcement Learning in MEC System

  • Liu, Qinghua;Li, Qingping
    • Journal of Information Processing Systems
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    • v.17 no.4
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    • pp.721-736
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    • 2021
  • For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.