Energy-efficient operation of a complete Chiller-air handing unit system via model predictive control

Wang, Wenyi; Zhou, Qun; Pan, Chao; Cao, Feng

doi:10.1016/j.applthermaleng.2021.117809

Cited by 18 publications

(1 citation statement)

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“…HVAC optimization framework that can provide optimal predictive control of the HVAC system based on the weather forecast and estimated indoor temperatures to minimize energy use by HVAC systems [10]. The strategy for reducing energy consumption in the building by optimizing a chiller system present to reduce the total power consumption with a variable COP is chosen, indicating a 12.3% cost reduction [11]. In addition, building shape might play an important role in its energy performance, especially due to self-shading, and to evaluate the impact of using different reference building shapes to develop a bottom-up benchmarking of building [12].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Approaches for a Machine Tool Building in a University through Field Measurement and Energy Modelling

Kusnandar¹,

Luo²,

Permana³

et al. 2023

Energy Engineering

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The heating, ventilating, and air conditioning (HVAC) system consumes nearly 50% of the building's energy, especially in Taiwan with a hot and humid climate. Due to the challenges in obtaining energy sources and the negative impacts of excessive energy use on the environment, it is essential to employ an energy-efficient HVAC system. This study conducted the machine tools building in a university. The field measurement was carried out, and the data were used to conduct energy modelling with EnergyPlus (EP) in order to discover some improvements in energy-efficient design. The validation between field measurement and energy modelling was performed, and the error rate was less than 10%. The following strategies were proposed in this study based on several energy-efficient approaches, including room temperature settings, chilled water supply temperature settings, chiller coefficient of performance (COP), shading, and building location. Energy-efficient approaches have been evaluated and could reduce energy consumption annually. The results reveal that the proposed energy-efficient approaches of room temperature settings (3.8%), chilled water supply temperature settings (2.1%), chiller COP (5.9%), using shading (9.1%), and building location (3.0%), respectively, could reduce energy consumption. The analysis discovered that using a well-performing HVAC system and building shading were effective in lowering the amount of energy used, and the energy modelling method could be an effective and satisfactory tool in determining potential energy savings.

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Section: Introductionmentioning

confidence: 99%