• Title/Summary/Keyword: HVAC (Heating

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A Study on the Effective Operation of HVAC Systems on Manufacturing Plants by EnergyPlus and PSO Algorithm (EnergyPlus와 PSO알고리즘을 이용한 제조플랜트 냉난방/공조시스템의 최적 운영에 관한 연구)

  • Lee, Eon;Jeong, Jin Woo;Zhao, Wen Bin;Noh, Sang Do
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.2
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    • pp.120-128
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    • 2013
  • Recently, the importance of the HVAC system (Heating, Ventilating and Air Conditioning System) is growing because comfortable working environment has emerged as important element for enhancing work efficiency. HVAC system is a general term of a system that collectively creates desired temperature and state through heating and air conditioning. HVAC system consists of many objects, so it requires a lot of constraints for its effective operation. Thus, specific strategy is needed for an optimal operation of HVAC System for plant. In this paper, manufacturing plants which have HVAC systems has been modeled and the objective function and constraints for an effective operation have been defined. And new strategy for an effective operation of HVAC system with energy simulations has been proposed.

Interaction Analysis between Cooling-to-Heating Load Ratio and Primary Energy Consumption of HVAC&R System for Building Energy Conservation (건물의 냉, 난방 부하비율과 HVAC&R 시스템 1차 에너지 소비량의 상관관계분석 및 합리적 설계방안 연구)

  • Cho, Jinkyun;Kim, Jinho;Lee, Suengjae;Kang, Hosuk
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.27 no.3
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    • pp.113-122
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    • 2015
  • HVAC&R systems account for more than 50% of the energy consumption of buildings. The purpose of this study is to propose an optimal design method for the HVAC&R system and to examine the possibility for the energy conservation of a selected system. The energy demand for cooling and heating is determined by using TRNSYS and HEET. By an interaction between total system efficiency and cooling-to-heating load ratio, the optimal HVAC&R systems will be decided. The results showed that this proposed method is significantly capable of determining optimal system and building design for saving energy.

A Controller Design of the Bilinear System for HVAC(Heating, Ventilating and Air-conditioning) System (냉난방 시스템의 이중선형 시스템에 관한 제어기 설계)

  • 이정석;강민수;김명호;이기서
    • Journal of the Korean Society for Railway
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    • v.3 no.4
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    • pp.177-184
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    • 2000
  • In this paper, a HVAC controller which has a bilinear system is designed to control the air temperature in building room and a saving of energy on the HVAC system. For modeling of the HVAC bilinear system, AHU(Air Handling Unit) is modeled on the control of inside-outside air flow using three dampers in a duct. A heat exchanger and the single room are also modeled by the energy conservation law. Under the modeling of the HVAC bilinear system, the control's law of the bilinear HVAC system is derived by Lyapunov's non-linear theory and Deress's the linear feedback laws for bilinear system. In this paper it was proved that the controller of the HVAC bilinear system is able to control the air temperature with a disturbance in order to get a target of temperature in the building room by the computer simulation when the control inputs regulate the air flow rate and a capacity of the heat exchanger.

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Alternative Strategies to Central Heating Ventilation and Air Conditioning

  • Shrestha, Pramen P.;Prgada, Mythili
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.401-407
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    • 2022
  • Central heating, ventilation and air conditioning (HVAC) is one of the largest consumers of energy in the residential sector. This project explores the use of multiple HVAC units and/or Zoning in a single residence to reduce energy loads. The energy consumption data of a detached single-family home using two HVAC units, one primary for the main house and a secondary HVAC for a casita, was collected for the same month for two consecutive years, along with details related to the outdoor temperature and the square footage being air-conditioned by each HVAC. A regression algorithm was trained using the above details to find the relation between the parameters. Next, based on the occupancy and usage patterns, the HVAC was redesigned assuming more area under the secondary HVAC unit. The trained algorithm was then used to make energy usage predictions for the revised primary HVAC area, with the assumption that the secondary HVAC unit was turned off. The results were compared with existing energy usage data. It was determined that there were significant energy savings in the second scenario. It is expected that this study and its findings will help future research projects explore more ideas as alternatives to central HVAC, in improving the economic viability of existing options, and in developing a savings calculation tool that will help consumers make informed decisions on their best alternatives to central HVAC.

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Adaptive Fuzzy Output Feedback Control based on Observer for Nonlinear Heating, Ventilating and Air Conditioning System

  • Baek, Jae-Ho;Hwang, Eun-Ju;Kim, Eun-Tai;Park, Mi-gnon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.9 no.2
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    • pp.76-82
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    • 2009
  • A Heating, Ventilating and Air Conditioning (HVAC) system is a nonlinear multi-input multi-output (MIMO) system. This system is very difficult to control the temperature and the humidity ratio of a thermal space because of complex nonlinear characteristics. This paper proposes an adaptive fuzzy output feedback control based on observer for the nonlinear HVAC system. The nonlinear HVAC system is linearized through dynamic extension. State observers are designed for estimating state variables of the HVAC system. Fuzzy systems are employed to approximate uncertain nonlinear functions of the HVAC system with unavailable state variables. The obtained controller compares with an adaptive feedback controller. Simulation is given to demonstrate the effectiveness of our proposed adaptive fuzzy method.

A Study on the Heat Transfer Characteristics of Heating Unit in DPH HVAC (수송용 DPH HVAC 히팅유니트장치의 열유동 시뮤레이션평가연구)

  • Roh, Hong-Koo;Lim, Kyung-Bin;Noh, Jong-Ho;Lee, Young-Ki
    • Proceedings of the SAREK Conference
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    • 2008.11a
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    • pp.605-610
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    • 2008
  • The study aims to analyzed and identify the heat transfer characteristics of heating unit for room using 3-D numerical-analysis in order to design heating unit. The temperature comparison processes were done with various numerical conditions. In addition, the optimal conditions of heating unit design were proposed as inlet temperature, the inlet flow, heater power, and vessel size.

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Transformer Based Deep Learning Techniques for HVAC System Anomaly Detection (HVAC 시스템의 이상 탐지를 위한 Transformer 기반 딥러닝 기법)

  • Changjoon Park;Junhwi Park;Namjung Kim;Jaehyun Lee;Jeonghwan Gwak
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.47-48
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    • 2024
  • Heating, Ventilating, and Air Conditioning(HVAC) 시스템은 난방(Heating), 환기(Ventilating), 공기조화(Air Conditioning)를 제공하는 공조시스템으로, 실내 환경의 온도, 습도 조절 및 지속적인 순환 및 여과를 통해 실내 공기 질을 개선한다. 이러한 HVAC 시스템에 이상이 생기는 경우 공기 여과율이 낮아지며, COVID-19와 같은 법정 감염병 예방에 취약해진다. 또한 장비의 과부하를 유발하여, 시스템의 효율성 저하 및 에너지 낭비를 불러올 수 있다. 따라서 본 논문에서는 HVAC 시스템의 이상 탐지 및 조기 조치를 위한 Transformer 기반 이상 탐지 기법의 적용을 제안한다. Transformer는 기존 시계열 데이터 처리를 위한 기법인 Recurrent Neural Network(RNN)기반 모델의 구조적 한계점을 극복함에 따라 Long Term Dependency 문제를 해결하고, 병렬처리를 통해 효율적인 Feature 추출이 가능하다. Transformer 모델이 HVAC 시스템의 이상 탐지에서 RNN 기반의 비교군 모델보다 약 1.31%의 향상을 보이며, Transformer 모델을 통한 HVAC의 이상 탐지에 효율적임을 확인하였다.

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Internet-Based Control and Monitoring System Using LonWorks Fieldbus for HVAC Application

  • Hong, Won-Pyo
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1205-1210
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    • 2004
  • The 4-20mA analog signal used in the various industrial fields to interface sensor in distributed process control has been replaced with relatively simple digital networks, called "fieldbus, and recently by Ethernet. Significant advances in Internet and computer technology have made it possible to develop an Internet based control, monitoring, and operation scheduling system for heating, ventilation and air-conditioning (HVAC) systems. The seamless integration of data networks with control networks allows access to any control point from anywhere. Field compatible field devices become so-called "smart" devices, capable of executing simple control, diagnostic and maintenance functions and providing bidirectional serial communication to higher level controller. The most important HVAC of BAS has received nationwide attention because of higher portion of more than 40% in building sector energy use and limited resources. This paper presents the Internet-based monitoring and control architecture and development of LonWorks control modules for AHU (air handling units) of HVAC in viewpoint of configuring BAS network. This article addresses issues in architecture section, electronics, embedded processors and software, and internet technologies.

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Energy-Efficient Operation Simulation of Factory HVAC System based on Machine Learning (머신러닝 기반 공장 HVAC 시스템의 에너지 효율화 운영 시뮬레이션)

  • Seok-Ju Lee;Van Quan Dao
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.47-54
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    • 2024
  • The global decrease in traditional energy resources has prompted increasing energy demand, necessitating efforts to replace and optimize energy sources. This study focuses on enhancing energy efficiency in manufacturing plants, known for their high energy consumption. Through simulations and analyses, the study proposes a temperature-based control system for HVAC (Heating, Ventilating, and Air Conditioning) operations, utilizing machine learning algorithms to predict and optimize factory temperatures. The results indicate that this approach, particularly the prediction-based free cooling algorithm, can achieve over 10% energy savings compared to existing systems. This paper presents that implementing an efficient HVAC control system can significantly reduce overall factory energy consumption, with plans to apply it to real factories in the future.

Design of Multi-Fuzzy Controller Using Genetic Algorithms for Multi-HVAC System (유전자 알고리즘을 이용한 Multi-HVAC 시스템에 대한 Multi-Fuzzy 제어기 설계)

  • Jung, Seung-Hyun;Choi, Jeong-Nae;Oh, Sung-Kwun
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.303-305
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    • 2006
  • 본 논문은 HVAC(heating, ventilating, and air conditioning) 시스템의 효율성과 안정성에 기초하여, 과열도와 저압을 제어하는 Multi Fuzzy 제어기 설계를 제안한다. HVAC 시스템은 Compressor(압축기), Condenser(응축기), Evaporator(증발기), Expansion Valve(확장 밸브) 로 구성되며, 각각의 기기에 대한 제어가 독립적으로 이루어져 있다. 기존의 제어가 한 제어기를 사용한 단일방식으로 이루어지다보니 HVAC 시스템의 특성인 냉매의 상태가 달라지면 시스템 전반적으로 그 영향이 파급되는 부분까지 고려를 해 주지 못하고, 제어기의 성능이 효율적이고 안정적이지 못했다. 본 논문에서는 HVAC 시스템의 효율과 안정도에 결정적인 영향을 미치는 파열도와 저압을 제어하기 위해, 비선형성이 강하고 불확실하며 복잡한 시스템을 쉽게 제어할 수 있는 Fuzzy 제어기를 구성하여, 3대의 Expansion Valve 와 1대의 Compressor 에서 동시에 제어하는 Multi 제어기를 설계한다. 제안된 Fuzzy 제어기는 이산형 lookup_table 방식과 연속형 간략추론 방식을 사용하여 제어기를 설계하고, 유전자 알고리즘(GAs)을 이용하여 최적의 Fuzzy 제어기의 환산계수를 구한다. 그리고 시뮬레이션 결과를 통해 이산형 lookup_table 방식과 연속형 간략추론 방식의 각각의 제어기를 사용한 결과를 비교한다.

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