Research on Central Air Conditioning Systems and an Intelligent Prediction Model of Building Energy Load

Abstract

The central air conditioning system provides city dwellers with an efficient and comfortable environment. Meanwhile, coinciding with their use, the building electricity load is increased, as central air conditioners consume a lot of electricity. It has become necessary to control central air conditioners for storage and to analyze the energy saving optimization of central air conditioner operation. This study investigates the energy consumption background of central air conditioning systems, and proposes an intelligent load prediction method. With a back propagation (BP) neural network, we use the data collected in the actual project to build the cooling load prediction model for central air conditioning. The network model is also trained using the Levenberg–Marquardt (LM) algorithm, and the established model is trained, tested, and predicted by importing a portion of the sample data, which is filtered by preprocessing. The experimental results show that most of the data errors for training, testing, and prediction are within 10%, indicating that the accuracy achievable by the model can meet the practical requirements, and can be used in real engineering projects.

Economic Load-Reduction Strategy of Central Air Conditioning Based on Convolutional Neural Network and Pre-Cooling

“…The minimum energy consumption of the central air conditioning cluster during the demand-response period is taken as the objective function, as shown in Equation (14).…”

“…This paper uses the model parameters of central air conditioning provided in the literature [14]. Each building is equipped with eight end fan coils, one cooling water pump, one freezing water pump, one chiller, and one cooling tower.…”

“…This section firstly reviews the existing research from three aspects: the building model [2][3][4][5][6][7][8][9], the central air conditioning energy consumption model [10][11][12][13][14][15][16], and the application of central air conditioning in power system demand response [17][18][19][20][21][22][23][24][25]. Then, it summarizes the challenges of central air conditioning participating in power system demand response and points out the contributions made by this research.…”

“…Central air conditioning systems usually include chilled water pumps, cooling water pumps, fan coils, cooling towers, and chiller units. Reference [14] used a BP neural network to establish a load forecasting model of central air conditioning. For a certain cooling load, there are many possible operating conditions of the central air conditioning system for meeting the cooling demand, and the energy consumption of these conditions is different, so there is the problem of working condition optimization.…”

A Comparative Analysis of a Radiation-Cooling-Plate-Coupled Adhesion-Jet Air Conditioning System in Different Positions

“…In addition, people are demanding more and more comfort in buildings, leading to a significant increase in the share of energy consumption of air conditioning systems in building energy consumption [2]. In China, air conditioning energy consumption accounts for a large proportion of building energy consumption, accounting for 40-50% [3] of the total energy consumption. In order to achieve the national goal of "carbon neutrality and carbon peaking" and to promote sustainable development, it is essential to reduce the energy consumption of air conditioning systems.…”