• Title/Summary/Keyword: Energy Demand Analysis

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Analysis of Energy Consumption of Buildings in the University (대학교 건축물의 에너지소비 특성 및 변화 추이 분석:서울소재 A대학교의 에너지 소비 실태를 중심으로)

  • Park, Kang-Hyun;Kim, Su-Min
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.23 no.9
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    • pp.633-638
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    • 2011
  • Increasing demand for comfortable indoor environment and air-conditioning demand is also increasing. Building energy consumption in university which is made up of many different kinds factor was researched. Central control air-conditioning systems are being replaced with individually controlled air-conditioning system. The amount of growth of electricity consumption is due to the increasing demand of EHP. Conversely, the demand for absorption chiller-heater is shrinking. Winter and in summer a lot of electricity and gas usage. On the other hand, showed less energy in spring and autumn. Increase the amount of electricity than the degree of decline in gas consumption was higher. Can be considered as transitional phenomena. Because EHP and the absorption chiller-heater are used at the same time in some of the buildings. To use energy efficiently is needed additional research about environmental impact, economic evaluation.

Prediction on Variation of Building Heating and Cooling Energy Demand According to the Climate Change Impacts in Korea (우리나라의 기후 변화 영향에 의한 건물 냉난방에너지 수요량 변화의 예측)

  • Kim, Ji-Hye;Kim, Eui-Jong;Seo, Seung-Jik
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.789-794
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    • 2006
  • The potential impacts of climate change on heating and cooling energy demand were investigated by means of transient building energy simulations and hourly weather data scenarios for Inchon. Future trends for the 21 st century was assessed based oil climate change scenarios with 7 global climate models(GCMs), We constructed hourly weather data from monthly temperatures and total incident solar radiation ($W/m^2$) and then simulated heating and cooling load by Trnsys 16 for Inchon. For 2004-2080, the selected scenarios made by IPCC foresaw a $3.7-5.8^{\circ}C$rise in mean annual air temperature. In 2004-2080, the annual cooling load for a apartment with internal heat gains increased by 75-165% while the heating load fell by 52-71%. Our analysis showed widely varying shifts in future energy demand depending on the season. Heating costs will significantly decrease whereas more expensive electrical energy will be needed of air conditioning during the summer.

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Estimation of earthquake induced story hysteretic energy of multi-Story buildings

  • Wang, Feng;Zhang, Ning;Huang, Zhiyu
    • Earthquakes and Structures
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    • v.11 no.1
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    • pp.165-178
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    • 2016
  • The goal of energy-based seismic design is to obtain a structural design with a higher energy dissipation capacity than the energy dissipation demands incurred under earthquake motions. Accurate estimation of the story hysteretic energy demand of a multi-story structure is the key to meeting this goal. Based on the assumption of a mode-equivalent single-degree-of-freedom system, the energy equilibrium relationship of a multi-story structure under seismic action is transformed into that of a multi-mode analysis of several single degree-of-freedom systems. A simplified equation for the estimation of the story seismic hysteretic energy demand was then derived according to the story shear force and deformation of multi-story buildings, and the deformation and energy relationships between the mode-equivalent single-degree-of-freedom system and the original structure. Sites were categorized into three types based on soil hardness, namely, hard soil, intermediate hard (soft) soil, and soft soil. For each site type, a 5-story and 10-story reinforced concrete frame structure were designed and employed as calculation examples. Fifty-six earthquake acceleration records were used as horizontal excitations to validate the accuracy of the proposed method. The results verify the following. (1) The distribution of seismic hysteretic energy along the stories demonstrate a degree of regularity. (2) For the low rise buildings, use of only the first mode shape provides reasonably accurate results, whereas, for the medium or high rise buildings, several mode shapes should be included and superposed to achieve high precision. (3) The estimated hysteretic energy distribution of bottom stories tends to be underestimated, which should be modified in actual applications.

Extension of Typical Meteorological Data and Energy Demand Analysis for Building Energy Efficiency Rating Certification System

  • Lee, Sung-Jin;Kim, Jonghun;Jeong, Hakgeun;Yoo, Seunghwan;Lee, Junghun
    • KIEAE Journal
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    • v.17 no.2
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    • pp.13-20
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    • 2017
  • Meteorological data is one of the important factors in the calculation of building energy demand. The purposes of this study are to review the limitations of the typical meteorological data of ECO2 program and to create the new typical meteorological data and then analyze the building energy demands for additional regions which are not included in the existing 13 region in the ECO2 program. The extended typical meteorological data to a total of 33 regions were based on IWEC(International Weather for Energy Calculations) data files and were created in the form applicable to the building energy efficiency rating certification system. As a result of comparing the heating energy demands of a representative region with the surrounding regions in each of five regions in Korea, the variance of Cv(RMSE) ranged from 36% to 344% and MBE ranged from -32% to 190% for the whole regions. This suggests that the difference of heating energy demand may vary greatly depending on the region where the meteorological data is used and the meteorological data of more detailed regions is needed for reliable calculation of building energy demand.

Scenario Analysis of Low-Carbon Generation Mix Considering Social Costs (사회적 비용을 고려한 저탄소 전원구성의 시나리오 분석)

  • Park, Jong-Bae;Cho, Young-Tak;Roh, Jae Hyung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.2
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    • pp.173-178
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    • 2018
  • This study organizes scenarios on the power supply and demand plans considering the uncertainties and the portion of distributed energy resources. In analysing the scenarios, it estimates total electricity supply cost in the social aspect, natural gas demand and air pollutants emission including carbon dioxide. Also the analysis is performed to estimate the marginal cost of carbon dioxide reduction for the fuel switching from coal to liquified natural gas. In result, the social cost could be decreased by replacing some portion of renewable energy by LNG-based combined heat and power and delaying the construction of large base-load generators such as coal and nuclear plants. The marginal carbon dioxide reduction cost by fuel switching is in plausible range for fuel switching to be an option for carbon dioxide emission reduction when the social cost is considered.

The importance of nuclear energy for the expansion of world's energy demand

  • Guk, Erdogan;Kalkan, Naci
    • Advances in Energy Research
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    • v.3 no.2
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    • pp.71-80
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    • 2015
  • This paper describes nuclear energy technologies for the solution of long term energy problem with better reliability. A short overview about nuclear energy applications are explained with a basic analysis of energy. Furthermore, industrial application, space application of nuclear systems and ship propulsion in nuclear energy application are demonstrated in more detail. This report also includes some examples of the experienced nuclear power plant to identify energy production. The general purpose of the article is to understand how efficiently nuclear systems generates energy, and solve the world's increasing energy demand in our century.

Harmonics Reduction in Load control and Management system

  • Thueksathit, W.;Tipsuwanporn, V.;Hemawanit, P.;Gulpanich, S.;Srisuwan, K.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2283-2286
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    • 2003
  • This paper presents conservation of electrical energy in building with harmonics analysis and compensation which occur in electrical system. We use load controlling and management system in order to adjust load factor of system.The maximum demand limiting and controlling are used ,then the system can acquire the prediction and compare it to the maximum demand set point.The electrical signal analysis based on FFT technique. The harmonics are compensated by using harmonic filters.This system consists computer which works as controller, processor , analysis and database unit together with digital power meter in form of multidrop network through serial communication via RS-485.The load control system uses PLC to control load via serial communication RS-485. The A/D converter is used for sampling the electrical signals via parallel port of computer.The harmonic filters are controlled by a computer.The data of measurement such as voltage, current, power, power factor, total harmonic distortion, energy, etc., can be saved as database and analysis. The load factor is adjusted by limiting and controlling maximum demand. The load factor adjustment can reduce the cost of electric consumption and energy generation together with harmonics compensation in order to increase high efficiency of electrical system.

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Development of DSM Potential Evaluation Procedures and Algorithm (DSM 잠재량 평가절차 및 알고리즘 개발)

  • Rhee, Chang-Ho;Park, Jong-Jin
    • Proceedings of the KIEE Conference
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    • 1997.07c
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    • pp.917-919
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    • 1997
  • Recently, electric industry confront a strategical change and high competiveness environment in the course of deregulation. Especially, rapid growth in electricity demand, financial need for new power plant construction, and environmental problems have led to search for more efficient energy production and energy conservation technologies in Korea. Due to the potential energy and cost savings, DSM(Demand-Side Management) plays and important role in the electric resource planning. In this paper, we suggest DSM potential evaluation procedures and algorithm. Also, we present screening analysis methods for DSM potential evaluation.

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An Impact of Gas Prices on Transit Demand Using a Time-series Analysis and a Regression Analysis (시계열 및 회귀분석을 활용한 휘발유가격의 광역권별·수단별 대중교통수요 영향력 비교분석)

  • Lee, Kwang Sub;Eom, Jin Ki;Moon, Dae Seop;Yang, Keun Yul;Lee, Jun
    • Journal of Korean Society of Transportation
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    • v.32 no.1
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    • pp.13-26
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    • 2014
  • Depending most of its energy sources on foreign countries, Korea efforts to reduce energy consumption in transportation. While studies on the relationship between gas price and transportation demand are many in number, most previous studies have focused on automobile and Seoul. This study analyzes the impact of gas price on transit (bus and subway) demand using monthly data and for various metropolitan areas (Seoul, Busan, Daejeon, Daegu and Gwangju). The research utilizes a time-series model and a multiple regression model, and calculates modal demand elasticities of gas price. The result shows that elasticities of subway demand with respect to gas price is higher than those of bus demand. In addition, elasticities of predominantly automobile cities are more likely to be more sensitive to gas price than those of cities with well-structured transit system.

Energy Performance Analysis for Energy Saving Potentials of a Hospital Building : A Case Study Methodology Based on Annual Energy Demand Profiles (병원건물의 에너지 저감을 위한 에너지성능 평가에 관한 사례연구)

  • Cho, Jinkyun;Moon, Junghwan;Kang, Hosuk
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.1
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    • pp.29-37
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    • 2017
  • Hospitals contribute to energy consumption and have a negative environmental impact. This study aims to find how meaningful energy performance, reflecting good energy management and design, can be planned for hospital buildings, a category encompassing complex buildings with different setups and large differences between them. Energy-consumption characteristics were surveyed throughout Korea to establish statistical energy models. Findings confirm that different hospital departments have hugely different energy-demand profiles. Energy efficiency and energy-saving potentials on HVAC systems are presented. The energy performance analysis can be applied to a wide range of problems in energy-system design and planning, including simulations and optimizations of community energy systems.