• Title/Summary/Keyword: Energy Analysis Model

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Performance Analysis of Combined Passive Solar System for Building South Wall (남측외벽에 적용한 혼합형 태양열시스템의 성능 분석)

  • Yun, Tae-Gyun;Lee, Hyun-Soo;Jang, Hyang-In;Suh, Seung-Jik
    • Journal of the Korean Solar Energy Society
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    • v.32 no.2
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    • pp.42-49
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    • 2012
  • In this article, the author carried out a theoretical study on the application techniques of a new Combined Passive Solar System (hereinafter referred to as the CPSS) of direct gain and trombe walls to get quick morning heating and to prevent afternoon overheating for office building. The numerical model proposed in this study can be used for the performance analysis of the CPSS in the winter and summer. Heating and Cooling loads are analysed for building energy consumption reduction using this numerical model. The results indicate that CPSS in the winter and summer modes could provide profitable conditions for improvement of indoor thermal comfort control and energy saving. consequently, the application of CPSS will not lead to significant reductions in the auxiliary air conditioning demand but also realize the environmentally friendly building.

Performance evaluation of composite moment-frame structures with seismic damage mitigation systems using wavelet analyses

  • Kaloop, Mosbeh R.;Son, Hong Min;Sim, Hyoung-Bo;Kim, Dongwook;Hu, Jong Wan
    • Structural Engineering and Mechanics
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    • v.74 no.2
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    • pp.201-214
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    • 2020
  • This study aims at evaluating composite moment frame structures (CFS) using wavelet analysis of the displacement behavior of these structures. Five seismic damage mitigation systems' models of 9-story CFS are examined namely, basic (Model 1), reinforced (Model 2), buckling restrained braced (BRB) (Model 3), lead rubber bearing (LRB) (Model 4), and composite (Model 5) moment frames. A novel integration between continuous and discrete wavelet transforms is designed to estimate the wavelet power energy and variance of measurements' behaviors. The behaviors of the designed models are evaluated under influence of four seismic loads to study the dynamic performance of CFS in the frequency domain. The results show the behaviors of models 3 and 5 are lower than other models in terms of displacement and frequency performances. Model 3 has been shown lower performances in terms of energy and variance wavelets along the monitoring time; therefore, Model 3 demonstrates superior performance and low probability of failure under seismic loads. Furthermore, the wavelet variance analysis is shown a powerful tool that can be used to assess the CFS under seismic hazards.

NUND: Non-Uniform Node Distribution in Cluster-based Wireless Sensor Networks

  • Ren, Ju;Zhang, Yaoxue;Lin, Xiaodong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.7
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    • pp.2302-2324
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    • 2014
  • Cluster-based wireless sensor network (WSN) can significantly reduce the energy consumption by data aggregation and has been widely used in WSN applications. However, due to the intrinsic many-to-one traffic pattern in WSN, the network lifetime is generally deteriorated by the unbalanced energy consumption in a cluster-based WSN. Therefore, energy efficiency and network lifetime improvement are two crucial and challenging issues in cluster-based WSNs. In this paper, we propose a Non-Uniform Node Distribution (NUND) scheme to improve the energy efficiency and network lifetime in cluster-based WSNs. Specifically, we first propose an analytic model to analyze the energy consumption and the network lifetime of the cluster-based WSNs. Based on the analysis results, we propose a node distribution algorithm to maximize the network lifetime with a fixed number of sensor nodes in cluster-based WSNs. Extensive simulations demonstrate that the theoretical analysis results determined by the proposed analytic model are consistent with the simulation results, and the NUND can significantly improve the energy efficiency and network lifetime.

A Study on the Design Method of Zero Energy Building considering Energy Demand and Energy Generation by Region (지역별 에너지 소요량과 생산량을 반영한 제로에너지건축물의 설계 방안에 관한 연구)

  • Lee, Soon-Myung;Lee, Tae-Kyu;Kim, Jeong-Uk
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.8
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    • pp.13-22
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    • 2018
  • The purpose of this study was to consider the energy generation of the building as well as the energy demand of the building in terms of zero energy building design. The reason why the zero energy building viewpoint should be discussed is that direction of the building, heat transfer rate of the building, and the S/V ratio of the building are variables related to energy demand and solar panels installed on the building roof and building envelope are variables related to energy generation. This study proceeded as follows; Firstly, the simulation model of large office and elementary school has the same mutual volume and total floor area, and the each floor area and number of floors are adjusted so that the S/V ratio is different. To the next, the energy demand and energy generation of the simulation model were derived based on the meteorological data of Seoul, Daejeon, Busan. Finally, energy demand, energy generation, and final energy demand were compared with heat transfer rate, S/V ratio, building type, region, and orientation. The results of this study is that consideration of solar power generation in terms of energy generation should be taken into consideration at the same time in consideration of the heat transfer rate, the shape, the region and the direction of the zero energy building design.

A Numerical Study on the Flow Uniformity according to Chamber Shapes Used for Test of the Semi-Conductor Chip (반도체 칩 테스트용 챔버 형상에 따른 유동 균일성에 대한 수치적 연구)

  • LEE, DAEGYU;MA, SANG-BUM;KIM, SUNG;KIM, JEONG-YEOL;KANG, CHAEDONG;KIM, JIN-HYUK
    • Transactions of the Korean hydrogen and new energy society
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    • v.31 no.5
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    • pp.480-488
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    • 2020
  • This study was conducted to improve the flow uniformity inside the chip tester through changing the flow path formation according to the inlet and outlet position of chamber. The internal flow and velocity distributions of the modified chamber models (Cases 1-3) were compared with the reference chamber model through three-dimensional Reynolds-averaged Navier-Stokes equations with k-ε turbulence model. The modified chamber models showed the superior flow uniformity characteristics compared to the reference chamber model. To investigate the flow uniformity in the chip tester, the standard deviation of the velocity was defined and compared. Through the internal flow analysis and assesment of the standard deviation, Case 2 among the test cases including the reference model showed the best flow uniformity generally.

Optimal Driving Mode Analysis for Reducing Energy Consumption in Electric Multiple Unit (전동열차의 주행에너지 소비를 절감하는 운전모드 해석)

  • Kim Chi Tae;Kim Dong Hwan;Park Young Il;Han Sung Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.13 no.1
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    • pp.174-183
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    • 2005
  • A train driving requires to n the fixed distance within given time, and it is desirable to consume low energy if necessary. Reducing energy consumption depends on the train operation modes by either manual or automatic operation. In this article, an operation to reduce energy consumption by changing modes of train operation by a driver without changing the train operation requirement is investigated. The powering model, braking model and consumed energy calculation model are developed, then simulated by using a Matlab software. The accuracy of the train dynamic model established by the simulations is verified by comparing with the real experimental data. Several simulations by various operations in the real track are executed, then the desirable pattern of train driving is found.

The Development of the Short-Term Predict Model for Solar Power Generation (태양광발전 단기예측모델 개발)

  • Kim, Kwang-Deuk
    • Journal of the Korean Solar Energy Society
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    • v.33 no.6
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    • pp.62-69
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    • 2013
  • In this paper, Korea Institute of Energy Research, building integrated renewable energy monitoring system that utilizes solar power generation forecast data forecast model is proposed. Renewable energy integration of real-time monitoring system based on monitoring data were building a database and the database of the weather conditions and to study the correlation structure was tailoring. The weather forecast cloud cover data, generation data, and solar radiation data, a data mining and time series analysis using the method developed models to forecast solar power. The development of solar power in order to forecast model of weather forecast data it is important to secure. To this end, in three hours, including a three-day forecast today Meteorological data were used from the KMA(korea Meteorological Administration) site offers. In order to verify the accuracy of the predicted solar circle for each prediction and the actual environment can be applied to generation and were analyzed.

Dynamic analysis and performance optimization of permendur cantilevered energy harvester

  • Ghodsi, Mojtaba;Ziaiefar, Hamidreza;Mohammadzaheri, Morteza;Omar, Farag K.;Bahadur, Issam
    • Smart Structures and Systems
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    • v.23 no.5
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    • pp.421-428
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    • 2019
  • The development of the low power application such as wireless sensors and health monitoring systems, attract a great attention to low power vibration energy harvesters. The recent vibration energy harvesters use smart materials in their structures to convert ambient mechanical energy into electricity. The frequent model of this harvesters is cantilevered beam. In the literature, the base excitation cantilevered harvesters are mainly investigated, and the related models are presented. This paper investigates a tip excitation cantilevered beam energy harvester with permendur. In the first section, the mechanical model of the harvester and magneto-mechanical model of the permendur are presented. Later, to find the maximum output of the harvester, based on the response surface method (RSM), some experiments are done, and the results are analyzed. Finally, to verify the results of RSM, a harvester with optimum design variables is made, and its output power is compared. The last comparison verifies the estimation of the RSM method which was about $381{\mu}W/cm^3$.

Comparison of solar power prediction model based on statistical and artificial intelligence model and analysis of revenue for forecasting policy (통계적 및 인공지능 모형 기반 태양광 발전량 예측모델 비교 및 재생에너지 발전량 예측제도 정산금 분석)

  • Lee, Jeong-In;Park, Wan-Ki;Lee, Il-Woo;Kim, Sang-Ha
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.355-363
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    • 2022
  • Korea is pursuing a plan to switch and expand energy sources with a focus on renewable energy with the goal of becoming carbon neutral by 2050. As the instability of energy supply increases due to the intermittent nature of renewable energy, accurate prediction of the amount of renewable energy generation is becoming more important. Therefore, the government has opened a small-scale power brokerage market and is implementing a system that pays settlements according to the accuracy of renewable energy prediction. In this paper, a prediction model was implemented using a statistical model and an artificial intelligence model for the prediction of solar power generation. In addition, the results of prediction accuracy were compared and analyzed, and the revenue from the settlement amount of the renewable energy generation forecasting system was estimated.