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Data Centers (DCs) are becoming increasingly important in recent years and require efficient operation and management. Thus, a topic of focus has been DC Infrastructure Management (DCIM) that can manage ICT equipment, power equipment, HVAC systems, etc. In this study, we developed a method to design the ICT equipment layout in the server room by using DCIM and Computer Fluid Dynamics (CFD). The method's...
The aim of this research is to assist the consumer to control the air conditioning load during the peak season. Demand side response model was applied to manage inside room temperature to keep comfortable for the consumer. A simulation study is illustrated the effect of demand side response model application for air conditioning in residential house in Makassar city. In this research there are three...
In recent years, energy-saving measures in the household electrical appliances is progressing. Further, with the development of power electronics field, digital household electrical appliances that operate at DC power source is beginning to increase. In this paper, basic system action testing of a system was put into effect. An air-conditioning equipment was used for system action testing. As a result,...
As a major part of household electricity load in summer, air conditioning (AC) consumption demonstrates enormous demand response (DR) potentials and numerous AC based DR programs are carried out annually. Understanding electricity consumption behaviors is one of the key elements for utilities to design more cost-effective DR programs. So studying on the AC electricity usage habits is of great significance...
In this paper, the air conditioning room temperature model is established and the temperature control system based on the model is designed. What's more, the fuzzy control system of air conditioning room temperature is obtained. Finally, the effect of PID controller and fuzzy controller is compared by simulation. The simulation results show that the fuzzy control system designed in this paper can...
Air conditioners can actively participate in frequency control for power system when it suffers from large power shortage. To make full use of reserve resources, a decentralized control strategy for air conditioning loads was proposed. Meanwhile, in order to facilitate analysis and control, the control strategy's probability model was established. Firstly, a modulation strategy responding to frequency...
Air conditioning loads have the potential to participate in frequency response when the power shortage accident occurs. In this paper, a decentralized frequency response control strategy is proposed to take advantage of the potential of air condition loads. Firstly, we analyze the existing decentralized control strategy, which adjusts the setting temperature of air conditioners according to the frequency...
This paper deals with the issue on air conditioning energy consumption and system monitoring of different data in building. Various environmental parameters inside the building are changed in real time, while the conventional air conditioning energy consumption forecasting with the load simulation software cannot adapt to these variations. Therefore, the air conditioning energy consumption forecasting...
Indoor building environment for energy saving and human health has important significance and the main criterion for evaluating its quality is environmental comfort. An experimental scheme for obtaining the mathematical model of the main parameters is designed by analyzing the parameters that affect the environmental comfort. The scheme establishes a discrete bilinear model with parameters and control...
A major functional role of the nasal cavity is air conditioning of the inspired environmental air to nearly alveolar conditions in order to protect the moist and warm alveolar lining where gas exchange takes place. It is well known that the morphological disparities among nasal passages can change airflow patterns to a great extent. However, this morphological variation effect on air conditioning...
The paper presents the algorithm for intelligent air conditioner controller. This algorithm is based on fuzzy logic. The implementation is done on arduino based microcontroller with temperature and humidity as two inputs and power as output. Air conditioners based on such controller are more energy efficient as compared to conventional air conditioners. The experimental results have also shown the...
In order to maintain a constant of temperature, the indoor climate is commonly controlled by air conditioning systems to keep occupants comfortable room in buildings. To achieve this issue, the control systems have applied to adaptable parameters to control the indoor climatic conditions. In this paper, PID (Proportional, Integral, Derivative) control logic is used to control the temperature. Embedded...
Through the analysis of the principle of refrigeration and air conditioning system, the paper establishes the simulation model of each module, and then combines into the general model of the refrigeration system, analysis of the fault categories and the causes of these failures, then finds out the characteristic parameters, and builds the BP neural network model with particle swarm optimization according...
In the later period of the design of an energy saving demonstration building in Chongqing university town, Writers use DeST-c to evaluate different forms of air-conditioning systems in terms of their effects in energy saving with the thought of "staged design". Through this method, an appropriate form of AC system as well as the way that fresh air is treated are fixed and a suitable form...
In the age of education informationization, flipped classroom in blended learning is an effective teaching model. This paper proposes that the flipped classroom teaching model in HVAC course is composed of three links before class and five links in class. It introduces the teaching designs of flipped classroom in Air Conditioning course, which includes before-class tasks of analysis of students, teaching...
To improve forecasting accuracy for baseline load and load impact from demand response resources, this paper develops three innovative statistical models. These models are regression spline fixed effect model, fixed effect change point model and mixed effect change point model. The models developed are applied to forecast baseline load and load impact from air conditioning cycling demand response...
Fault detection of Air Conditioning (AC) system is one of the most important problems in building energy-saving and safety. Unfortunately, the identification of unknown modes is still a difficult issue in fault detection. Expectation-maximization (EM) algorithm has been applied widely in modes identification of AC system. However, the traditional EM algorithm is much more complicated in iteration...
With the technological development of the smart grid, the demand response technology will be developed to enhance the security, stability and economy of power system to a great extent. The air conditioning load, as a kind of temperature controlled load, is a typical load that can be used for demand response. In this paper, an optimization management strategy of the air conditioning load is proposed,...
Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously...
Simulations of annual reduction in power consumption based on tests of the energy-saving effect of introducing the air-side economizer (direct outside air cooling) to data centers in Japan are reported. Effects of environmental factors on energy saving are compared for air-side economizer and conventional systems that use air conditioners for cooling. When the air-side economizer is used, weather...
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