Assessment of new flow control strategy for the air handling units on energy management and sustainability

被引：0
作者：
机构：
[1] Maritime Faculty, Pirir Reis University, Istanbul, Tuzla
[2] of Mechanical project, Bursa
来源：
Sogut, M.Ziya (mzsogut@pirireis.edu.tr) | 2025年 / 25卷
关键词：
Climate temperature; Efficiency; Energy; HVAC; Sustainability;
D O I：
10.1016/j.ijft.2024.101017
中图分类号：
学科分类号：
摘要：
The issue of thermal control and energy-efficient air conditioning has emerged as a significant challenge in the context of industrial production. In particular, for processes that are aimed at decarbonisation, energy efficiency-based models provide an effective solution in the context of the energy transition. This study presents a proposal for the implementation of flow control in air handling units for the aforementioned facility. In this context, a case study was conducted on an air-handling unit with two different flow control management systems, namely a three-way valve and a flow control valve. The study demonstrated that the proposed flow control system for HVAC units exhibited an energy efficiency advantage of 31.08 % with respect to air conditioning temperature. Indeed, the implementation of flow control resulted in a 26.68 % gain in overall efficiency based on flow temperature. In conventional HVAC applications characterised by thermal fluctuations, energy flow control represents a valuable tool for optimising heat management, particularly during low-speed operation and across seasonal transitions. At the conclusion of the study, supplementary recommendations were formulated. © 2024 The Authors
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  • [1] Jinsoo K., Benjamin K.S., Morgan B., Steve G., Minyoung Y., Energy, material, and resource efficiency for industrial decarbonization: A systematic review of sociotechnical systems, technological innovations, and policy options, Energy Research & Social Science, 112, (2024)
  • [2] Gregory P.T., Addison K.S., pp. 531-550, (2021)
  • [3] Hallquist A., Energy consumption: manufacture of building materials and building construction, Habitat Int., 3, 5-6, pp. 551-557, (1978)
  • [4] Hannon B., Stein R.G., Segal B.Z., Serber D., Energy and labor in the construction sector, Science (1979), 202, 24/11/78, pp. 837-847, (1978)
  • [5] Rashad M., Khordehgah N., Zabnienska-Gora A., Ahmad L., Jouhara H., The utilisation of useful ambient energy in residential dwellings to improve thermal comfort and reduce energy consumption, Int. J. Thermofluids., 9, (2021)
  • [6] Khan O., Parvez M., Seraj M., Yahya Z., Devarajan Y., Nagappan B., Optimising building heat load prediction using advanced control strategies and Artificial Intelligence for HVAC system, Therm. Sci. Eng. Prog, 49, (2024)
  • [7] Liu Y., Cui C., A bi-level real-time optimal control strategy for thermal coupled multi-zone dedicated outside air system-assisted HVAC systems, Energy, 306, (2024)
  • [8] Li X., Zhao H., Feng Y., Li J., Zhao Y., Wang X., Research on key technologies of high energy efficiency and low power consumption of new data acquisition equipment of power Internet of Things based on artificial intelligence, Int. J. Thermofluids., 21, (2024)
  • [9] Ni H.-P., Chong W.O., Chou J.-S., Optimizing HVAC systems for semiconductor fabrication: a data-intensive framework for energy efficiency and sustainability, J. Build. Eng., 89, (2024)
  • [10] Aderemi Adesanya M., Obasekore H., Rabiu A., Na W.-H., Opeyemi Ogunlowo Q., Denen Akpenpuun T., Kim M.-H., Kim H.-T., Kang B.-Y., Lee H.-W., Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: a TRNSYS-Python cosimulation approach, Expert. Syst. Appl., 252, (2024)
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