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http://dx.doi.org/10.7315/CADCAM.2013.120

A Study on the Effective Operation of HVAC Systems on Manufacturing Plants by EnergyPlus and PSO Algorithm  

Lee, Eon (Department of Industrial Engineering, Sungkyunkwan University)
Jeong, Jin Woo (Department of Industrial Engineering, Sungkyunkwan University)
Zhao, Wen Bin (Department of Industrial Engineering, Sungkyunkwan University)
Noh, Sang Do (Department of Systems Management Engineering, Sungkyunkwan University)
Publication Information
Korean Journal of Computational Design and Engineering / v.18, no.2, 2013 , pp. 120-128 More about this Journal
Abstract
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.
Keywords
Energy Simulation; HVAC (Heating, Ventilating and Air Conditioning);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Jung, S.-H., Choi, J.-N. and Oh, S.-K., 2006, Design of Multi-Fuzzy Controller Using Genetic Algorithms for Multi-HVAC System, The Transactions of the Korean Institute of Electrical Engineers, pp. 303-305.
2 Lee, S. J., 2012, An Efficient Heuristic Algorithm of Surrogate-Based Optimization for Global Optimal Design Problems, Transactions of Society of CAD/CAM Engineers, 17(5), pp. 375-386.   DOI   ScienceOn
3 Jeong, S.-W., Lee, K.-H., Kim, I.-H. and Choo, S.-Y., 2013, Analysis on Green BIM Based Atrium Sizes in the Early Design Stage, Transactions of Society of CAD/CAM Engineers, 18(1), pp.58-70.   DOI   ScienceOn
4 Velimir Congradac and Filip Kulic, 2009, HVAC System Optimization with $CO_{2}$ Concentration Control Using Genetic Algorithms, Energy and Buildings, 41(5), pp. 571-577.   DOI   ScienceOn
5 Zhengyi Li, Zhaoyi Huo Hongchao Yin, 2011, Optimization and Analysis of Operation Strategies for Combined Cooling, Heating and Power System, Power and Energy Engineering Conference, pp. 1-4.
6 Zhang Jun and Zhang Kanyu, 2011, A Particle Swarm Optimization Approach for Optimal Design of PID Controller for Temperature Control in HVAC, Third International Conference Measuring Technology and Mechatronics Automation, pp. 230-233.
7 U.S Department of Energy, Energyplus Energy Simulation, http://apps1.eere.energy.gov/buildings/energyplus/
8 Kong, S.-H., 2000, Energy Plus Load Analysis Program, The Society of Air-Conditioning and Refrigerating Engineers of Korea, International Journal of Air-Conditioning and Refrigeration, 29(7), pp. 56-59.
9 Brian Coffey, 2010, Fariborz Haghighat, Edward Morofsky, Edward Kutrowski, A Software Framework for Model Predictive Control with GenOpt, Energy and Buildings, 42(7), pp. 1084- 1092.   DOI   ScienceOn
10 Carlisle, A. and Dozier, G., 2001, An Off-theshelf PSO. Proceedings of the Workshop on Particle Swarm Optimization, pp. 1-6.
11 Joo, S.-H., Kim, J.-Y. and Shin, H.-J., 2010, A Comparative Study on Educational Structure Thermal Load Simulation with Heat Balance method, Summer seminar of The Society of Air- Conditioning and Refrigrating Engineers of Korea, pp. 1531-1535.