• Title/Summary/Keyword: Energy Estimating

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Estimation of Power Using PV System Model Formula and Machine Learning (태양광시스템 모델식과 기계학습을 이용한 발전성능 추정)

  • Hyun Gyu Oh;Woo Gyun Shin;Young Chul Ju;Soo Hyun Bae;Hye Mi Hwang;Gi Hwan Kang;Suk Whan Ko;Hyo Sik Chang
    • Current Photovoltaic Research
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    • v.11 no.1
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    • pp.27-33
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    • 2023
  • In this paper, a machine learning model by using a regression algorithm is proposed to estimate the power generation performance of the BIPV system. The physical model formula for estimating the generation performance and the proposed model were compared and analyzed. For the physical model formula, simple efficiency model, temperature correction model, and regressive physics model for changing an irradiance were used. As a result, when comparing the regressive physics model for changing an irradiance and the proposed model with the actual generation measured data, the respective RMSE values are 0.1497 kW, 0.0451 kW and the accuracy values are 86.44%, and 96.56%. Therefore, the proposed model implemented in this experiment can be useful in estimating power generation.

An Index-Based Context-Aware Energy Management System in Ubiquitous Smart Space (유비쿼터스 지능 공간에서의 지수 기반 상황인지 에너지경영 시스템)

  • Kwon, Ohyung;Lee, Yonnim
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.51-63
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    • 2008
  • Effective energy consumption now becomes one of the area of knowledge management which potentially gives global impact. It is considerable for the energy management to optimize the usage of energy, rather than decreasing energy consumption at any cases. To resolve these challenges, an intelligent and personalized system which helps the individuals control their own behaviors in an optimal and timely manner is needed. So far, however, since the legacy energy management systems are nation-wide or organizational, individual-level energy management is nearly impossible. Moreover, most estimating methods of energy consumption are based on forecasting techniques which tend to risky or analysis models which may not be provided in a timely manner. Hence, the purpose of this paper is to propose a novel individual-level energy management system which aims to realize timely and personalized energy management based on context-aware computing approach. To do so, an index model for energy consumption is proposed with a corresponding service framework.

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A Study on Estimation of Regularizing Parameters for Energy-Based Stereo Matching (에너지 기반 스테레오 매칭에서의 정합 파라미터 추정에 관한 연구)

  • Hahn, Hee-Il;Ryu, Dae-Hyun
    • Journal of Korea Multimedia Society
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    • v.14 no.2
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    • pp.288-294
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    • 2011
  • In this paper we define the probability models for determining the disparity map given stereo images and derive the methods for solving the problem, which is proven to be equivalent to an energy-based stereo matching. Under the assumptions the difference between the pixel on the left image and the corresponding pixel on the right image and the difference between the disparities of the neighboring pixels are exponentially distributed, a recursive approach for estimating the MRF regularizing parameter is proposed. The proposed method alternates between estimating the parameters with the intermediate disparity map and estimating the disparity map with the estimated parameters, after computing it with random initial parameters. Our algorithm is applied to the stereo matching algorithms based on the dynamic programming and belief propagation to verify its operation and measure its performance.

Macro-level Methodology for Estimating Carbon Emissions, Energy Use, and Cost by Road Type and Road Life Cycle (도로 종류와 도로생애주기별 탄소배출량, 에너지소모량 및 비용에 대한 거시적 분석방법)

  • Hu, Hyejung;Baek, Jongdae
    • International Journal of Highway Engineering
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    • v.17 no.2
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    • pp.143-150
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    • 2015
  • PURPOSES : The authors set out to estimate the related carbon emissions, energy use, and costs of the national freeways and highways in Korea. To achieve this goal, a macro-level methodology for estimating those amounts by road type, road structure type, and road life cycle was developed. METHODS : The carbon emissions, energy use, and costs associated with roads vary according to the road type, road structure type, and road life cycle. Therefore, in this study, the road type, road structure type, and road life cycle were classified into two or three categories based on criteria determined by the authors. The unit amounts of carbon emissions and energy use per unit road length by classification were estimated using data gathered from actual road samples. The unit amounts of cost per unit road length by classification were acquired from the standard cost values provided in the 2013 road business manual. The total carbon emissions, energy use, and cost of the national freeways and highways were calculated by multiplying the road length by the corresponding unit amounts. RESULTS: The total carbon emissions, energy use, and costs associated with the national freeways and highways in Korea were estimated by applying the estimated unit amounts and the developed method. CONCLUSIONS: The developed method can be employed in the road planning and design stage when decision makers need to consider the impact of road construction from an environmental and economic point of view.

Numerical Study of Estimating the Arrival Time of UHF Signals for Partial Discharge Localization in a Power Transformer

  • Ha, Sang-Gyu;Cho, Jeahoon;Lee, Juneseok;Min, Byoung-Woon;Choi, Jaehoon;Jung, Kyung-Young
    • Journal of electromagnetic engineering and science
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    • v.18 no.2
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    • pp.94-100
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    • 2018
  • Partial discharges (PDs) are electrical sparks that occur inside insulation between two conducting electrodes and can lead to the disastrous failure of insulation systems. To determine the location of a PD, a distributed array of UHF PD sensors is used to detect the electromagnetic (EM) signals emitted from the PD source, and the localization of the PD source can be estimated using the time difference of arrival (TDOA) between EM signals captured by the UHF PD sensor array. There are four popular methods to estimate the TDOA-the first peak method, the cross-correlation method, the energy criterion method, and the average time window threshold method. In this work, we numerically investigate the influence of noise on estimating the TDOA for the four different methods. Numerical results show that the energy criterion method is more robust against noise than other methods.

Cost Estimating of Electricity and Steam on a Gas-Turbine Cogeneration (가스터빈 열병합발전에서 생산된 전기와 증기의 원가산정)

  • Kim, Deok-Jin
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.21 no.4
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    • pp.252-259
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    • 2009
  • When various kinds of outputs are produced from a single energy system, the methodology which allocates the common cost to each output cost is very important because it is directly related with the profit and loss of producers and purchasers. In the cost allocation methodology of the heat and the electricity on a cogeneration, there are energy method, work method, proportional method, benefit distribution method, various exergetic methods, and so on. On the other hand, we have proposed a worth evaluation method which can be applied to any system. The definition of this methodology is that the unit cost of a product is proportion to the worth. Where, worth is a certain evaluating basis that can equalize the worth of products. In this study, we applied this methodology to a gas-turbine cogeneration which produces 119.2 GJ/h of electricity and 134.7 GJ/h of steam, and then we allocated 3,150 $/h of fuel cost to electricity cost and steam cost. Also, we compared with various cost allocation methods. As the result, we conclude that reversible work of various kinds of worth basis evaluates the worth of heat and electricity most reasonably.

A Derivation of Aerosol Optical Depth Estimates from Direct Normal Irradiance Measurements

  • Yun Gon Lee;Chang Ki Kim
    • New & Renewable Energy
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    • v.20 no.1
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    • pp.79-87
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    • 2024
  • This study introduces a method for estimating Aerosol Optical Depth (AOD) using Broadband Aerosol Optical Depth (BAOD) derived from direct normal irradiance and meteorological factors observed between 2016 and 2017. Through correlation analyses between BAOD and atmospheric components such as Rayleigh scattering, water vapor, and tropospheric nitrogen dioxide, significant relationships were identified, enabling accurate AOD estimation. The methodology demonstrated high correlation coefficients and low Root Mean Square Errors (RMSE) compared to actual AOD500 measurements, indicating that the attenuation effects of water vapor and the direct impact of tropospheric nitrogen dioxide concentration are crucial for precise aerosol optical depth estimation. The application of BAOD for estimating AOD500 across various time scales-hourly, daily, and monthly-showed the approach's robustness in understanding aerosol distributions and their optical properties, with a high coefficient of determination (0.96) for monthly average AOD500 estimates. This study simplifies the aerosol monitoring process and enhances the accuracy and reliability of AOD estimations, offering valuable insights into aerosol research and its implications for climate modeling and air quality assessment. The findings underscore the viability of using BAOD as a surrogate for direct AOD500 measurements, presenting a promising avenue for more accessible and accurate aerosol monitoring practices, crucial for improving our understanding of aerosol dynamics and their environmental impacts.

Effect of initial ground temperature measurement on the design of borehole heat exchanger (초기 지중온도 측정이 지중 열교환기 설계에 미치는 영향)

  • Song, Yoon-ho;Kim, Seong-Kyun;Lee, Kang-Kun;Lee, Tae-Jong
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.600-603
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    • 2009
  • We compared relative importance of thermal conductivity and initial ground temperature in designing borehole heat exchanger network and also we test accuracy of ground temperature estimation in thermal response test using a proven 3-D T-H modeler. The effect of error in estimating ground temperature on calculated total length of borehole heat exchanger was more than 3 times larger than the case of thermal conductivity in maximum 20% error range. Considering 10% of error in estimating thermal conductivity is generally acceptable, we have to define the initial ground temperature within 5% confidence level. Utilizing the mean annual ground surface temperature and the geothermal gradient map compiled so far can be a economic way of estimating ground temperature with some caution. When performing thermal response test for estimating ground temperature as well as measuring thermal conductivity, minimum 100 minutes of ambient circulation is required, which should be even more in case of very cold and hot seasons.

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