• Title/Summary/Keyword: Energy and Consumption

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A Study on the Energy Improvement Plan of using Passive Design with Exterior Envelopes and Renewable Energy for Bio Safety Labotratory (외피의 Passive Design 요소와 신재생에너지를 적용한 생물안전 밀폐시설의 에너지 시스템 개선방안 연구)

  • Hwang, Ji Hyun;Bum, Do;Hong, Jin Kwan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.26 no.10
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    • pp.491-496
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    • 2014
  • In general, the entire air supply of a bio-safety laboratory (BSL) should be exhausted on the outside to ensure bio-safety, and the air conditioning system should always be operated to maintain a difference in the room pressure. As a result, the annual energy consumption of such a building is approximately five or ten times higher than that of an office building of the same magnitude. Thus, this study applies an actual operating system that targets BSL. The energy consumption is analyzed using the Energy Plus V8.0 program (an energy analysis program), and five kinds of cases that depend on the energy consumption of the basic BSL system are also analyzed. As a result, the energy consumption in Case 1 (basic system) is of 324.95 GJ. When the basic system of Case 1 is compared to that in Case 2 (basic system+passive design with exterior envelopes), an annual energy savings of is 6.9% is achieved. For Case 3 (basic system+Photovoltaic, PV) 12.7% is achieved, and for Case 4 (Solar Geothermal Hybrid System of renewable energy, SGHS) 49.5% is achieved. If a passive design with exterior envelopes and renewable energy system (PV+SGHS) is combined, as in Case 5, the energy consumption would be 118.15 GJ. Therefore, when this last system is compared to a basic system, the passive design with exterior envelopes and renewable energy system (PV+SGHS) can reduce energy consumption by 63.6%.

An Analysis of the Building Energy Demand of Rural House and Passive type House - An Analysis of the Airtightness and Window system Performance according to using PHPP (기존 농촌주택과 패시브형 주택의 에너지 요구량 비교분석 - PHPP분석을 통한 주택의 기밀성 및 창호성능 분석을 중심으로)

  • Cho, Kyung-Min;Lee, Tae-Goo;Kim, Joo-Soo
    • KIEAE Journal
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    • v.11 no.4
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    • pp.55-61
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    • 2011
  • Due to global warming issues caused by climate changes which are internationally being highlighted, recently, there are lots of efforts under way to reduce energy consumption in various fields. Currently, 25 percent of energy consumption in Korea are being generated from buildings and especially, nearly 54 percent of them are being consumed by households. This study, therefore, aims to consider energy consumption status in the existing rural houses and analyze structure system performance, window system performance and air-permeability of domestic passive-type buildings using PHPP which is an analysis program of building energy to improve energy consumption problems in rural areas. Then, energy reduction plans in rural houses were proposed, by comparing and analyzing energy reduction of the existing rural houses, based on these data.

Decomposition Analysis of Energy Use for Water Supply: From the Water-Energy Nexus Perspective (물 공급을 위한 에너지 사용 요인분해 분석: Water-Energy Nexus 관점에서)

  • Yoo, Jae-Ho;Jo, Yeon Hee;Kim, Hana;Jeon, Eui Chan
    • Journal of Korean Society on Water Environment
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    • v.38 no.5
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    • pp.240-246
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    • 2022
  • Water and energy are inextricably linked and referred to as 'Water-Energy Nexus'. Recently, this topic has been drawing a lot of attention from various studies due to the exacerbated water availability. Korea's water and energy consumption has been increasing consistently, which calls for better management. This paper aims to identify changes in electricity consumption in relation to water intake and purification processes. Using Log Mean Divisia Index (LMDI) Decomposition Analysis method, this study attributes the changes to major factors such as; Total population (population effect), household/population (structure effect), GDP/household (economic effect), and water-related energy use/GDP (unit effect). The population effect, structure effect, and economic effect contributed to an increase in water-related electricity consumption, while the unit effect contributed to a decrease. As of 2019, the economic effect increased the water supply sector's electricity consumption by 534 GWh, the population effect increased by 73 GWh, and the structure effect increased by 243 GWh. In contrast, the unit effect decreased the electricity consumption by -461 GWh. We would like to make the following suggestions based on the findings of this study; first, the unit effect must be improved by increasing the energy efficiency of water intake and purification plants and installing renewable energy power generation facilities. Second, the structure effect is expected to increase over time, and to mitigate it, water consumption must be reduced through water conservation policies and the improvement of water facilities. Finally, the findings of this study are expected to be used as foundational data for integrated water and energy management.

A Software Development of Energy Consumption for HVAC System of Building (건물에너지 소비량 해석 소프트웨어 개발)

  • Kim B. H;Jo S. B;Kim J. P
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.19 no.2
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    • pp.67-81
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    • 1990
  • The objective of this is to develop a practical software package to calculate annual energy consumption of HVAC (Heating Ventilating, and Air Conditioning) System in a building. It can quickly estimate loads and energy consumption, and have a function of economic analysis through the estimation of operating cost. Techniques of save energy consumption used in a building are necessary from the stage of design process to operation. The single most significant task is on HVAC Systems. Their installation costs, and related operating costs have enormous influence upon initial and maintenance costs. HVAC designers and engineers now have a wide variety of software choices available, but only a few of them have been developed in this country and no source program has been disclosed. Neither load culculation nor estimation of energy consumption is systematically made by the domestic HVAC design firms. Even though computer improved over the years with a trend of large scale load calculation and system selection through simulaion, the utilization of software nowadays does not make good progress due to lack of working environment. Therefore, it is necessary to develop a practical software package with which load calculation can be made with ease and kind manner. This study concerns the development of a software package which makes it possible to design HVAC system and save energy consumption in operation. The algorithm used in this program is a Modified Bin Method widely known as a simplified energy analysis means.

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A Case Study of Electricity Usage Monitoring for Deterioration and Economic Analysis of Main Equipment in University Laboratory

  • Park, Jun-Young;Lee, Chun-Kyong;Park, Tae-Keun
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.706-707
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    • 2015
  • Our country is aiming at 30% reductions in building energy consumption accounting for 39% of the total energy consumption by 2020[1]. For this purpose, the government is developing and applying the Building Energy Management System (hereinafter, referred to as "BEMS", Smart plug, etc.) while the researches on new renewable energy development. BEMS, which is applied with focus on large buildings, is inducing energy management of the entire building through energy measurement and data management, but considering its economic efficiency, it's very difficult to apply BEMS to small & medium-size buildings. Hereupon, this study intends to implement the case analysis of deterioration and economic efficiency of major equipment in buildings on the basis of electricity consumption which has been measured targeting small & medium-size buildings for a certain period by taking into account that equipment deterioration is a contributor to the increase in energy consumption.

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Study on the Thermal Characteristics of Concrete Using Insulation Performance Improve Material (단열성능향상 재료를 사용한 콘크리트의 열적 특성에 관한 연구)

  • Park, Young-Shin;Kim, Jung-Ho;Kang, Yeun-Woo;Youm, Kwang-Soo;Jeon, Hyun-Kyu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.227-228
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    • 2013
  • Recently, it is certain that the increase of heating and cooling energy consumption by radical change in climate condition has caused serious problems related to environmental and energy concerns associated with increase of fossil fuel usage and carbon dioxide production as well as global warming. So, various actions to reduce greenhouse gas exhaustion and energy consumption have been prepared by world developed countries. The energy consumption by buildings approximately reaches 25% of total korea energy consumption. The greatest part in the buildings of the energy consumption is building facade. but a few research projects on concrete comprising more than 70% of outsider of buildings has been tried. This research structural insulation concrete what improved insulation performance using insulation performance improve material.

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CREEC: Chain Routing with Even Energy Consumption

  • Shin, Ji-Soo;Suh, Chang-Jin
    • Journal of Communications and Networks
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    • v.13 no.1
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    • pp.17-25
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    • 2011
  • A convergecast is a popular routing scheme in wireless sensor networks (WSNs) in which every sensor node periodically forwards measured data along configured routing paths to a base station (BS). Prolonging lifetimes in energy-limited WSNs is an important issue because the lifetime of a WSN influences on its quality and price. Low-energy adaptive clustering hierarchy (LEACH) was the first attempt at solving this lifetime problem in convergecast WSNs, and it was followed by other solutions including power efficient gathering in sensor information systems (PEGASIS) and power efficient data gathering and aggregation protocol (PEDAP). Our solution-chain routing with even energy consumption (CREEC)-solves this problem by achieving longer average lifetimes using two strategies: i) Maximizing the fairness of energy distribution at every sensor node and ii) running a feedback mechanism that utilizes a preliminary simulation of energy consumption to save energy for depleted Sensor nodes. Simulation results confirm that CREEC outperforms all previous solutions such as LEACH, PEGASIS, PEDAP, and PEDAP-power aware (PA) with respect to the first node death and the average lifetime. CREEC performs very well at all WSN sizes, BS distances and battery capacities with an increased convergecast delay.

Calculation and Evaluation of Monthly Sectoral GHG Emissions of Seoul through Analysis of Energy Consumption from 1999 Until 2009 (1999~2009 서울시 에너지사용량 분석을 통한 월별·부문별 온실가스 배출량 산정 및 평가)

  • Lee, Joo-Bong;Park, Hyun-Shin;Kim, Dong-Kyu
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.4
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    • pp.466-476
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    • 2012
  • This study calculated monthly and sectoral (for industry, energy industry, transport, residential, commercial and public sectors) greenhouse gas (GHG) emissions of Seoul, Korea from 1999 until 2009 with following the IPCC 2006 Guideline for National Greenhouse Gas Inventories through an analysis on available monthly data of fossil fuel and electricity consumption for the period. The time series analysis showed that GHG emissions had significant cyclical pattern season by season with the highest peak in August and the lowest peak in January throughout the period. The analysis on monthly and sectoral energy consumption showed that residential, commercial and public sectors had emitted about 65% of total GHG emissions of Seoul and had consumed more energy in winter for heating. About 30% GHG of Seoul was emitted from transport sector but its monthly energy consumption showed irregular pattern and it consumed 80% petroleum (in 2009) of Seoul. Hopefully together with further study on this subject, it is expected that this study can be used as basic data for various research regarding Greenhouse gas baseline emission, energy consumption pattern and estimation for future GHG emission of Seoul.

Analysis of Indoor Thermal Environment and Energy Consumption in Office Building Controlled by PMV (PMV 제어에 따른 사무소 건물의 실내열환경과 에너지소비량 분석)

  • Jang, Hyang-In;Suh, Seung-Jik
    • Journal of the Korean Solar Energy Society
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    • v.33 no.4
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    • pp.15-22
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    • 2013
  • The purpose of this study is to analyse the effects of air conditioned room controlled by PMV(Predicted Mean Vote)for energy consumption and human comfort in office building. The 'EnergyPlus' was used for the evaluation of indoor thermal environment and energy consumption by the controls of room temperature and PMV. The result indicates that the PMV control could prove more profitable method for improvement of indoor thermal environment and energy conservation. Consequently, PMV control has a distinct advantage over most other control methods. An additional study is required to establish the various thermal comfort control for rooms on the basis of this work.

Optimal Energy Consumption Scheduling in Smart-Grid Considering Storage Appliance : A Game-Theoretic Approach (스마트 그리드에 있어서 저장 장치를 고려한 최적 에너지 소비 스케줄링 : 게임 이론적 접근)

  • Yeo, Sangmin;Lee, Deok-Joo;Kim, Taegu;Oh, Hyung-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.414-424
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    • 2015
  • In this research, we consider a smart grid network of electricity with multiple consumers connected to a monopolistic provider. Each consumer can be informed the real time price changes through the smart meter and updates his consumption schedule to minimize the energy consumption expenditures by which the required power demand should be satisfied under the given real time pricing scheme. This real-time decision making problem has been recently studied through game-theoretic approach. The present paper contributes to the existing literature by incorporating storage appliance into the set of available household appliances which has somewhat distinctive functions compared to other types of appliances and would be regarded to play a significant role in energy consumption scheduling for the future smart grid. We propose a game-theoretic algorithm which could draw the optimal energy consumption scheduling for each household appliances including storage. Results on simulation data showed that the storage contributed to increase the efficiency of energy consumption pattern in the viewpoint of not only individual consumer but also whole system.