Exploration of Energy-Saving Technologies in Building Electrical System Design

Building electrical system fault diagnosis is the blank in the fault diagnosis field at home and abroad. The main reason is that the building electrical systems have many complex and huge subsystems; meanwhile, it is very hard to establish the mathematical model of system. By using the neural networks which is not depending on the model and using its advantage of convergence speed, the difficulties of building electrical system fault diagnosis can be well solved. This paper puts forward a method of fault diagnosis based on radial basis function neural network (hereinafter referred to as the RBF network) and applied it to building electrical system fault diagnosis. Beijing institute of civil engineering and architecture building intelligent experiment center provides building electrical test platform which can collect actual fault samples for RBF network training. After experiments and verification, RBF network’s accuracy and speed on fault diagnosis of building electrical system is significantly better than BP network. The effective RBF network in building electric system fault diagnosis field will have good engineering application prospect in the future.

China’s economy adopts an extensive growth method. This economic growth method relies on resource input, which consumes huge energy and causes excessive pressure on resources and the environment. The economic growth rate of Fujian Province ranks among the highest in the country in recent years, and its energy consumption is still on the high side. Industrial enterprises, especially the manufacturing industry, account for the majority of energy consumption. In order to ensure the sustainable development of enterprises and society, the government needs to make plans for energy conservation and consumption reduction, policy support and enterprise energy conservation and consumption reduction measures to promote energy conservation and consumption reduction in the whole society, and strive to achieve coordinated development of economic growth and environmental protection.

The power supply efficiency in industrial parks directly impacts production stability and energy costs for enterprises. Traditional decentralized distribution often leads to redundant equipment configuration, increased transmission losses, and complex multi-site dispatch challenges, undermining overall operational efficiency. When facilities with differing characteristics coexist within the same park, pronounced load fluctuation variations emerge, heightening demands for power supply reliability and increasing energy management complexity. This necessitates establishing a unified power supply and distribution optimization plan. Therefore, this paper explores the design of a joint power supply and distribution system for multi-site facilities, aiming to enhance the economic viability and practicality of industrial cluster power supply and distribution systems.

Design of an advanced electric power distribution systems using seeker optimization algorithm

Under the increasing demands as well as resource shortages in today’s society, energy-saving technologies in building water supply and drainage construction plays a vital role. Through the rational application of energy-saving technologies, energy consumption in water supply and drainage projects can be significantly minimized and wastage of water resources can be reduced. This will play a very promising role in promoting sustainable development of resources and environmental conservation in the modern era. This paper analyzes the application of energy-saving technology in building water supply and drainage construction, with an aspiration to make energy-saving technology more reasonable in today’s building water supply and drainage projects and to improve the quality of water supply and drainage construction projects, while achieving effective environmental protection.

This article describes recent co-simulation advances for the simultaneous modeling of detailed building electrical distribution systems and whole-building energy performance. The co-simulation architecture combines the EnergyPlus® engine for whole-building energy modeling with a new Modelica library for building an electrical distribution system model that is based on harmonic power flow. This new library allows for a higher-fidelity modeling of electrical power flows and losses within buildings than is available with current building electrical modeling software. We demonstrate the feasibility of the architecture by modeling a simple, two-zone thermal chamber with internal power electronics converters and resistive loads, and we validate the model using experimental data. The proposed co-simulation capability significantly expands the capabilities of building electrical distribution system models in the context of whole-building energy modeling, thus enabling more complex analyses than would have been possible with individual building performance simulation tools that are used to date.

The sewage treatment industry intensively consumes energy, which results in high operating costs and aggravates the energy crisis in China to a certain extent. Therefore, the study of the energy consumption and conservation of sewage treatment processes is of high realistic significance. Domestic and overseas sewage treatment processes, their current status of energy consumption and energy audit, as well as the trend of sewage treatment processes and their energy conservation are explored to obtain theoretical enlightenment on the energy conservation, emission reduction, and sewage treatment recycling in China. The results show that the activated sludge process is mainly used in Chinese sewage treatment plants. The average energy consumption of all sewage treatments is 0.30 kWh/m3 in China. CASS achieved the lowest amount of average energy consumption at 0.24 kWh/m3. SBR obtained the largest energy consumption of 0.36 kWh/m3. The energy consumption is 0.06 kWh/m3 for sewage lifting, 0.178 kWh/m3 for sewage treatment, and 0.028 kWh/m3 for sludge treatment in China.

11 - Energy Conversion Systems

Power distribution system design of the green well-off villages and small towns in East China is studied in this paper. Electricity load forecasting, power distribution and energy-saving systems design, effect of distributed energy accessing to the villages and small towns grid are studied. Finally, the advices are given on the power distribution system design of the green well-off villages and small towns.

Energy demand for rural household heating to suitable levels in the Loess Hilly Region, Gansu Province, China

A knowledge of electric equipment reliability is required in the economic design of power distribution systems. An AIEE sponsored survey was undertaken in 1959 to collect reliability data in industrial plants. Responses were received from 33 companies, covering 85 plants in 5 industries. Survey results on 27 equipment items are shown in 46 tables. For each industry and for all data received, these show average failure rates by cause, and average down time per failure.

Testability design of power distribution system considering noise immunity characteristics

This paper illustrates the noise characteristics under chip's operations according to types of packages and modules for DDR SDRAM. The impedance profiles and power noises are analyzed with SDRAM chips having TSOP package and FBGA package on TSOP-based DIMM and FBGA-based DIMM. In controversy with common concepts, the noise characteristics of FBGA package are more weak and sensitive than those of the TSOP package. In addition, the simulated results show that the decoupling capacitor locations of modules are more important to control the self and transfer noise characteristics than the lead inductance of the packages. Therefore, satisfying the target spec of the noise suppression and isolation can be achieved through the design of power distribution systems only with considering not only the package types but also the whole module system.

Current flow in power distribution systems inside an integrated circuit (IC), especially in VLSI and wafer-scale ICs, causes problems of voltage drop and metal migration, leading to logic malfunction, reduction in operating speed, and reduction in the expected life span of a chip. Accurate estimations of currents are needed to design the power distribution systems so that they will withstand the adverse effects of current surges. During fabrication or as a result of aging, the power distribution systems may break at some weak points. As a result, some parts of the systems may have to route excessive amounts of currents. A power distribution system should be designed so that, in the presence of a limited number of these breaks, the system will deliver currents to the macro cells without violating some prescribed limits on voltage drops and without causing metal migration. The author deals with estimating currents in the segments of power distribution systems under fault conditions and develops guidelines for designing the systems so that the voltage drop and metal migration constraints with respect to these current estimates will not be violated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Beijing is a major municipality/province of energy consumption, but poor in energy resources. The inherent and complete dependence on importing energy makes energy security extremely difficult, which draws more attention to the energy conservation in Beijing. With the improvement of people's living standard, the proportion of the residential energy consumption continuously increased. Residential energy saving became the key field of energy conservation and environmental protection. A great many factors of which the relations are complex affect the energy conservation. By introducing System Dynamics analysis, which has a unique advantage of analyzing the multiple and complex feedback system, this paper aims to analyze energy consumption of Beijings residential sector and finally comes to some suggestions towards governments policies.