Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Heating, ventilation, and air conditionings (HVACs) of commercial buildings bear a large amount of weight in total load and have emerged as a major flexible resource participating in power systems. HVACs can be aggregated in an entity to participate in power system dispatching. First, refrigeration and air systems modelling of HVACs is conducted. Second, commercial buildings with HVACs are encapsulated into a power-smoothed and independent virtual generation unit (VGU) by using an internal integrated coordination control method, which characterizes the virtual generation capability of commercial buildings. Third, the dynamic modelling method of virtual power plant (VPP) is presented, and a local-autonomous optimal control strategy of HVACs is proposed via centralizeddistributed architectures. The results of the analysis indicate that HVACs can be adequately regulated to participate in power system peak-shaving.

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“…T W ,sp to is determined by maximizing the reducible power of HVACs. max T W ,sp to ΔP max = P 0 − P 3 (5) Subject to:…”

Section: E E F > δEmentioning

confidence: 99%

“…There are many ways to regulate HVACs. The chiller power is adjusted by changing the chilled water outlet temperature or modifying its on/off status; the power of heat pump or water pump is controlled by changing the frequency, and the power of fan is regulated by changing its air volume [5].…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling and optimal control of virtual power plant driven by commercial HVACs

Gao

Meng

et al. 2021

IET Renewable Power Gen

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“…The results indicate that the close relationship between the coefficient of performance (COP) and part load ratio as well as the temperature of the fluid. In Reference 25, a dynamic simulation model for optimizing the performance of chilling water pumps and air conditioning fans considering multiple parameters is proposed. An optimal management model is established to minimize the operation energy expense.…”

Section: Introductionmentioning

confidence: 99%

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Chen

Yang

2021

Int Trans Electr Energ Syst

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Summary As essential components in the energy hub, the multi‐energy devices are diverse, and their working conditions are complex. The relevant energy efficiency level of devices in the energy hub is also an important factor for the long‐term operation of the energy systems. The device efficiency is always considered constant in modeling the energy hub. However, it is necessary to study the efficiency variation and optimization of devices under off‐design working conditions. In this paper, we propose a coordinated dispatch method of the multi‐energy system considering the device off‐design characteristics in the energy hub. The energy efficiency optimization is included in the dispatch process. Then, we use the analysis target cascade (ATC) to obtain the optimal solution. The method is tested in the system, including distribution network, natural gas network, and energy hub. Compared to the traditional method, the proposed method can describe the operation of the whole system more authentically and thereby prove the effectiveness of energy efficiency optimization. The corresponding nonlinear constraints are linearized by piecewise linearization. Besides, we discuss the results of energy efficiency optimization at different load levels and capacity combinations, which is of guiding significance to optimize system working conditions.

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Energy Saving Optimization of Chilled Water System Based on Improved Fruit Fly Optimization Algorithm

Feng

Wang

et al. 2023

Journal of Thermal Science and Engineering Applications

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As the main energy consumption part of the central air-conditioning system, the energy saving of the chilled water system is particularly important. In this paper, an improved fruit fly optimization algorithm (IFOA) is used to optimize the operation parameters of the chilled water system to reduce the energy consumption of the chilled water system. In IFOA, the three-dimensional position coordinate is introduced to expand the search space of the algorithm, and the variable step strategy balances the global search ability and local search ability of the algorithm, and helps a single Drosophila jump out of the local optimization through chaos mapping. In order to verify the optimization effect of IFOA on the chilled water system, the energy consumption model of the chilled water system is established. With the lowest total energy consumption of the system as the goal, the operating parameters such as the chilled water supply temperature and the speed ratio of the chilled water pump are optimized. The simulation results show that the energy saving optimization method of central air-conditioning chilled water system based on IFOA can make the average energy saving rate of the system reach 7.9%. Compared with other optimization algorithms, the method has better energy saving effect and is more stable.

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Optimization analysis on the effect of operational power consumption for central air conditioning under cold storage regulation

Cited by 4 publications

References 22 publications

Dynamic modelling and optimal control of virtual power plant driven by commercial HVACs

Dynamic modelling and optimal control of virtual power plant driven by commercial HVACs

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Energy Saving Optimization of Chilled Water System Based on Improved Fruit Fly Optimization Algorithm

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