Development of energy-saving elevator using regenerated power storage system

2003 ◽  
Author(s):  
S. Tominaga ◽  
I. Suga ◽  
H. Araki ◽  
H. Ikejima ◽  
M. Kusuma ◽  
...  
Keyword(s):  
Energy Saving ◽  
Storage System ◽  
Power Storage

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

Research on Microgrid System in the DC-Building

2014 ◽  
Vol 596 ◽  
pp. 678-681
Author(s):  
Ya Ning Yuan ◽  
Ming Meng
Keyword(s):  
Energy Saving ◽  
Control Strategy ◽  
Integrated Management ◽  
Storage System ◽  
Management Strategies ◽  
Electric Energy ◽  
Energy System ◽  
Heat Energy ◽  
High Quality ◽  
Bidirectional Power Flow

In order to achieve the objectives of energy-saving and emission reduction for modern buildings and provide high quality power supply, a DC microgrid system of thermoelectric energy comprehensive control is proposed. The system includes two subsystems of electric energy and heat energy system, and realizes electric and heat energy transformation and combination through cogeneration unit and electronic heating device. To achieve efficient use of energy, integrated management strategies is also proposed. Distributed generations are controlled by the maximum power tracking strategy, and the hybrid energy storage system uses droop control strategy to stabilize DC bus voltage. In the connection point between the grid and microgrid, the bidirectional converter uses vector decoupling control strategy with double closed loop for pulse width modulation (PWM) to solve the problem of bidirectional power flow with the grid. The simulation results indicate that the system can provide high quality, energy saving, stable power for the modern building.

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

2013 ◽  
Vol 291-294 ◽  
pp. 636-641
Author(s):  
Jian Lin Li ◽  
Xiong Xiong ◽  
Shui Li Yang
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Emission Reduction ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
System Capacity ◽  
Benefit Evaluation ◽  
System Energy ◽  
Nested Genetic Algorithm

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

Sign in / Sign up

Export Citation Format

Share Document