• 제목/요약/키워드: energy resources

검색결과 4,647건 처리시간 0.038초

The mechanism of rockburst-outburst coupling disaster considering the coal-rock combination: An experiment study

  • Du, Feng;Wang, Kai;Guo, Yangyang;Wang, Gongda;Wang, Liang;Wang, Yanhai
    • Geomechanics and Engineering
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    • 제22권3호
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    • pp.255-264
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    • 2020
  • With the ongoing development of deep mining of coal resources, some coal mine dynamic disasters have exhibited characteristics of both coal-gas outbursts and rockbursts. Therefore, research is required on the mechanism of rockburst-outburst coupling disaster. In this study, the failure characteristics of coal-rock combination structures were investigated using lab-scale physical simulation experiments. The energy criterion of the rockburst-outburst coupling disaster was obtained, and the mechanism of the disaster induced by the gas-solid coupling instability of the coal-rock combination structure was determined. The experimental results indicate that the damage of the coal-rock structure is significantly different from that of a coal body. The influence of the coal-rock structure should be considered in the study of rockburst-outburst coupling disaster. The deformation degree of the roof is controlled by the more significant main role of the gas pressure and the difference in the strength between the rock body and the coal body. The outburst holes and spall characteristics of the coal body after the failure of the coal-rock structure are strongly affected by the difference in strength between the roof and the coal body. The research results provide an in-depth understanding of the mechanism of rockburst-outburst coupling disasters in deep mining.

Resource Allocation for Heterogeneous Service in Green Mobile Edge Networks Using Deep Reinforcement Learning

  • Sun, Si-yuan;Zheng, Ying;Zhou, Jun-hua;Weng, Jiu-xing;Wei, Yi-fei;Wang, Xiao-jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권7호
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    • pp.2496-2512
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    • 2021
  • The requirements for powerful computing capability, high capacity, low latency and low energy consumption of emerging services, pose severe challenges to the fifth-generation (5G) network. As a promising paradigm, mobile edge networks can provide services in proximity to users by deploying computing components and cache at the edge, which can effectively decrease service delay. However, the coexistence of heterogeneous services and the sharing of limited resources lead to the competition between various services for multiple resources. This paper considers two typical heterogeneous services: computing services and content delivery services, in order to properly configure resources, it is crucial to develop an effective offloading and caching strategies. Considering the high energy consumption of 5G base stations, this paper considers the hybrid energy supply model of traditional power grid and green energy. Therefore, it is necessary to design a reasonable association mechanism which can allocate more service load to base stations rich in green energy to improve the utilization of green energy. This paper formed the joint optimization problem of computing offloading, caching and resource allocation for heterogeneous services with the objective of minimizing the on-grid power consumption under the constraints of limited resources and QoS guarantee. Since the joint optimization problem is a mixed integer nonlinear programming problem that is impossible to solve, this paper uses deep reinforcement learning method to learn the optimal strategy through a lot of training. Extensive simulation experiments show that compared with other schemes, the proposed scheme can allocate resources to heterogeneous service according to the green energy distribution which can effectively reduce the traditional energy consumption.

유도홈을 이용한 효과적인 수압파쇄 모델연구 (A Study on the Model for Effective Hydraulic Fracturing by Using Guide Hole)

  • 문홍주;신성렬;임종세;정우근;장원일
    • 터널과지하공간
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    • 제24권6호
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    • pp.440-448
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    • 2014
  • 수압파쇄 기술은 가스나 석유, 지열 등 에너지자원의 회수율을 향상시키기 위해 다양한 분야에서 응용되고 있으며 수압파쇄 메커니즘 규명 및 응용분야에 대한 연구는 꾸준히 진행되어 왔다. 본 연구에서는 효과적인 수압파쇄를 위하여 실제 현장과 유사한 상황을 구현할 수 있는 축소모형실험을 통해 유도홈의 개수에 따른 수압파쇄시 균열발생 압력을 분석하기 위하여 수압파쇄 시험 장치를 구축하여 수압파쇄 시험을 실시하였다. 또한 그 결과를 토대로 물성과 역학적인 특성을 취득하여 3차원 개별 요소 프로그램인 3DEC을 이용한 수치해석적 모델링 값과 비교 분석함으로써 신뢰성 있는 결과를 도출하고자 하였다. 그 결과 유도홈을 이용할 경우 효과적인 균열 발생이 가능할 것으로 사료된다.

Polysulfone/nanocomposites mixed matrix ultrafiltration membrane for the recovery of Maillard reaction products

  • Basu, Subhankar;Mukherjee, Sanghamitra;Balakrishnan, Malini;Deepthi, M.V.;Sailaja, R.R.N.
    • Membrane and Water Treatment
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    • 제9권2호
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    • pp.105-113
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    • 2018
  • Maillard reaction products like melanoidins present in industrial fermentation wastewaters are complex compounds with various functional properties. In this work, novel ultrafiltration (UF) mixed matrix membrane (MMM) composed of polysulfone (PSF) and nanocomposites was prepared through a phase inversion process for the recovery of melanoidins. Nanocomposites were prepared with acid functionalized multiwalled carbon nanotubes (MWCNTs) as the reinforcing filler for chitosan-thermoplastic starch blend. Higher nanocomposites content in the PSF matrix reduced the membrane permeability and melanoidins retention indicating tighter membrane with surface defects. The membrane surface defects could be sealed with dilute polyvinyl alcohol (PVA) solution. The best performing membrane (1% nanocomposites in 18% PSF membrane sealed with 0.25% PVA coating) resulted in uniform melanoidins retention of 98% and permeability of 3.6 L/m2 h bar over a period of 8h. This demonstrates a low fouling PSF membrane for high melanoidins recovery.

물리탐사에 기초한 대수층 특성화 및 적용 사례 분석 (Aquifer Characterization Based on Geophysical Methods and Application Analysis on Past Cases)

  • 정주연;김빛나래;송서영;정인석;송성호;남명진
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제27권2호
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    • pp.1-23
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    • 2022
  • For its essential importance as a resource, sustainable development of groundwater has been major research interests for many decades. Conventional characterization of aquifer and groundwater has relied on borehole data from observation well. Although borehole data provide useful information on yield and flow of groundwater, it is often difficult and sometimes costly to estimate the spatial distribution of groundwater in entire aquifer. Geophysical probing is an alternative techique that provides such information due to its capability to image subsurface structures as well as to delineate spatial distribution of hydraulic parameters. This study presents various technical information about geophysical probing to estimate main characteristics of aquifer for groundwater exploitation. Subsequently, we analyzed representative cases, in which geophysical methods were applied to identify the location of the groundwater, classify freshwater and brine, derive hydraulic constants, and monitor groundwater.

Electrical resistivity survey and interpretation considering excavation effects for the detection of loose ground in urban area

  • Seo Young Song;Bitnarae Kim;Ahyun Cho;Juyeon Jeong;Dongkweon Lee;Myung Jin Nam
    • Geomechanics and Engineering
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    • 제35권2호
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    • pp.109-119
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    • 2023
  • Ground subsidence in urban areas due to excessive development and degraded underground facilities is a serious problem. Geophysical surveys have been conducted to estimate the distribution and scale of cavities and subsidence. In this study, electrical resistivity tomography (ERT) was performed near an area of road subsidence in an urban area. The subsidence arose due to groundwater leakage that carried soil into a neighboring excavation site. The ERT survey line was located between the main subsidence area and an excavation site. Because ERT data are affected by rapid topographic changes and surrounding structures, the influence of the excavation site on the data was analyzed through field-scale numerical modeling. The effect of an excavation should be considered when interpreting ERT data because it can lead to wrong anomalous results. A method for performing 2D inversion after correcting resistivity data for the effect of the excavation site was proposed. This method was initially tested using a field-scale numerical model that included the excavation site and subsurface anomaly, which was a loosened zone, and was then applied to field data. In addition, ERT data were interpreted using an existing in-house 3D algorithm, which considered the effect of excavation sites. The inversion results demonstrated that conductive anomalies in the loosened zone were greater compared to the inversion that did not consider the effects of excavation.

Thermal and Electrical Energy Mix Optimization(EMO) Method for Real Large-scaled Residential Town Plan

  • Kang, Cha-Nyeong;Cho, Soo-Hwan
    • Journal of Electrical Engineering and Technology
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    • 제13권1호
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    • pp.513-520
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    • 2018
  • Since Paris Climate Change Conference in 2015, many policies to reduce the emission of greenhouse gas have been accelerating, which are mainly related to renewable energy resources and micro-grid. Presently, the technology development and demonstration projects are mostly focused on diversifying the power resources by adding wind turbine, photo-voltaic and battery storage system in the island-type small micro-grid. It is expected that the large-scaled micro-grid projects based on the regional district and town/complex city, e.g. the block type micro-grid project in Daegu national industrial complex will proceed in the near future. In this case, the economic cost or the carbon emission can be optimized by the efficient operation of energy mix and the appropriate construction of electric and heat supplying facilities such as cogeneration, renewable energy resources, BESS, thermal storage and the existing heat and electricity supplying networks. However, when planning a large residential town or city, the concrete plan of the energy infrastructure has not been established until the construction plan stage and provided by the individual energy suppliers of water, heat, electricity and gas. So, it is difficult to build the efficient energy portfolio considering the characteristics of town or city. This paper introduces an energy mix optimization(EMO) method to determine the optimal capacity of thermal and electric resources which can be applied in the design stage of the real large-scaled residential town or city, and examines the feasibility of the proposed method by applying the real heat and electricity demand data of large-scale residential towns with thousands of households and by comparing the result of HOMER simulation developed by National Renewable Energy Laboratory(NREL).