• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.29 no.2
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• pp.32-38
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• 2000

중앙냉방시스템의 에너지 절약을 위해서는 실내외의 환경변화에 따라 시스템제어변수들인 최적의 운전조건들을 선정할 수 있고, 온라인으로 실제 적용이 용이한 최적화 기술이 필요하며, 이를 통한 효율적인 에너지 관리시스템의 구성이 이루어져야 한다.

• Journal of Energy Engineering
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• v.24 no.3
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• pp.48-54
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• 2015

In a centralized cooling plant, precise mechanical design and control strategy are required for peak and partial cooling load management. Otherwise, it will lead to low efficiency of cooling system and energy loss due to low partial load efficiency. The purpose of this paper is to enhance energy performance of the centralized cooling plant by controlling flow system in an industrial building using measured data and energy performance simulation program. The simulation results show that the proposed flow control can cut down annual electric power consumption by about 17% compared with the conventional cooling system.

• Intergrated Energy Industry
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• s.5
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• pp.39-41
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• 2007

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.13 no.4
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• pp.8-13
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• 2017

The effects of operational conditions of cooling water system on energy consumption for central cooling system are researched by using TRNSYS program. Cooling tower water pump flow rate, cooling tower fan flow rate, and condenser water temperature with various dry-bulb and wet-bulb temperatures are varied and their effects on total and component power consumption are studied. If the fan maximum flow rates of cooling tower is decreased, cooling tower fan and total power consumptions are increased. If the cooling tower water pump maximum flow rates is decreased, chiller and total power consumptions are increased. If condenser water set-point temperature is increased, chiller power consumption is increased and cooling tower fan power consumption is decreased, respectively.

• Proceedings of the SAREK Conference
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• 2007.11a
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• pp.46-51
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• 2007

The near-optimal control algorithm for central cooling system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air temperature and chilled water temperature. This study has been done by using LapVIEW program with PID control in order to analyze the central cooling system energy saving.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.20 no.7
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• pp.470-477
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• 2008

The near-optimal control algorithm for central cooling system has been developed for minimizing energy consumption while maintaining the comfort of indoor thermal environment in terms of the environmental variables such as time varying indoor cooling load and outdoor temperatures. The optimal set-points of control parameters with near-optimal control are supply air and chilled water temperatures. The near optimal control algorithm has been implemented by using LabVIEW program in order to analyze energy performance for central cooling control system.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.16 no.4
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• pp.1-8
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• 2020

For a central cooling system of a medical facility composed of absorption chiller and screw chiller, the study was conducted on how to minimize the energy cost. In consideration of the energy cost, the optimal operation method in which the operation method of the heat source is changed according to the size of the cooling load was derived through simulation analysis. When applying the optimal operation method, the indoor environment, energy consumption, and energy cost were analyzed and compared with the reference operation method.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.7 no.2
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• pp.30-36
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• 2011

In this study, energy saving performance of outdoor temperature reset control strategy for central cooling system is researched by experiments. Outdoor temperature reset control is the control method to change indoor air set temperature according to outdoor air temperature change. The range of indoor air set temperature is represented by the comfort temperature range of indoor air temperature offered from ASHRAE and indoor air set temperature is programmed between $22^{\circ}C$ and $27^{\circ}C$ by outdoor air temperature $20^{\circ}C{\sim}32^{\circ}C$ in summer. As a result of applying outdoor temperature reset control to central cooling system, the suggested control method shows better performances of energy savings than the conventional method which indoor temperature maintains constantly.

• Electronics and Telecommunications Trends
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• v.14 no.5 s.59
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• pp.111-114
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• 1999

전화국사 내 교환기의 신설이나 증설 시에 최적의 열부하 산정이 필요하다. 이를 위해 전화국사의 특성에 알맞은 열부하 계산 프로그램을 윈도우용으로 개발하여 비전문가들도 쉽게 사용할 수 있도록 하고자 한다. 프로그램 구성은 기본자료입력부, 전화국사의 자료입력부, 입력된 데이터를 이용하여 국사의 냉방부하와 냉방시스템의 용량을 계산하는 부분 그리고 출력부분으로 크게 4부분으로 나눌 수 있다. 본 프로그램을 이용하여 한국통신 중앙전화국 5ESS실의 냉방기기용량을 산정해 본 결과, 기존 냉방기기 69USRT의 49%에 해당되는 33.5USRT로 나타나 기존 냉방기기의 용량이 너무 과다하게 선정되었음이 판명되었다. 본 프로그램은 전화국사의 에너지 절약에 기여할 수 있을 것으로 판단된다.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.8 no.4
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• pp.1-7
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• 2012

In this study, computer simulation for demand control strategies to save the electric energy and power price in the building central cooling system is done. The demand control and outdoor reset control algorithms are applied by consideration the electric energy and power price according to the energy consumption characteristics. The suggested control methods show better responses in the power price and energy consumption in comparison with the conventional one.