Coordinated Optimization Control Technology of Clean Energy Consumption Based on Spatiotemporal Characteristics of Controllable Load

2022 ◽  
pp. 14-24
Author(s):  
Weichun Ge ◽  
Shunjiang Wang ◽  
Qingbo Yin ◽  
Feng Sun ◽  
Peng Jin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Clean Energy ◽  
Control Technology ◽  
Spatiotemporal Characteristics ◽  
Coordinated Optimization ◽  
Optimization Control

Development and Analysis on Energy Conservation Equipment and Control Technology of HVAC

2012 ◽  
Vol 424-425 ◽  
pp. 852-856
Author(s):  
Jian Min Sun ◽  
Chun Dong Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Air Conditioning ◽  
Clean Energy ◽  
Building Energy ◽  
Control Technology ◽  
Hvac System ◽  
Advanced Control ◽  
Control Technologies ◽  
And Control

In building, the energy consumption of heating, ventilation and air conditioning (HVAC) is the largest, which accounts for forty to sixty percent of the total building consumption. So it is a key research to reduce the energy consumption of the HVAC system for saving building energy. This article describes a variety of energy conservation equipment of HVAC, and describes in detail the principles of each type of equipment. This article also analyzes the growing advanced control technologies for the HVAC system. In conclusion, HVAC equipment is developing in the direction of clean energy and energy efficient; intelligent control technology is more applicable to the varying parameters of complex system such as air conditioning, is more energy conservation and will become the leading direction of research and application

scholarly journals Practice of generation-grid-load-storage interactive transaction considering clean energy consumption

2021 ◽  
Vol 657 (1) ◽  
pp. 012067
Author(s):  
Jie Fan ◽  
Xuesong Li ◽  
Hao Chen ◽  
Yu Jiang ◽  
Shizhen Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Clean Energy ◽  
Grid Load

Coordinated optimization control of shield machine based on dynamic fuzzy neural network direct inverse control

2020 ◽  
pp. 014233122098027
Author(s):  
Xuanyu Liu ◽  
Wentao Wang ◽  
Yudong Wang ◽  
Cheng Shao ◽  
Qiumei Cong
Keyword(s):  
Fuzzy Neural Network ◽  
Control Method ◽  
Earth Pressure ◽  
Screw Conveyor ◽  
Inverse Control ◽  
The Earth ◽  
Coordinated Optimization ◽  
Optimization Control ◽  
Fuzzy Neural ◽  
Shield Machine

During shield machine tunneling, the earth pressure in the sealed cabin must be kept balanced to ensure construction safety. As there is a strong nonlinear coupling relationship among the tunneling parameters, it is difficult to control the balance between the amount of soil entered and the amount discharged in the sealed cabin. So, the control effect of excavation face stability is poor. For this purpose, a coordinated optimization control method of shield machine based on dynamic fuzzy neural network (D-FNN) direct inverse control is proposed. The cutter head torque, advance speed, thrust, screw conveyor speed and earth pressure difference in the sealed cabin are selected as inputs, and the D-FNN control model of the control parameters is established, whose output are screw conveyor speed and advance speed at the next moment. The error reduction rate method is introduced to trim and identify the network structure to optimize the control model. On this basis, an optimal control system for earth pressure balance (EPB) of shield machine is established based on the direct inverse control method. The simulation results show that the method can optimize the control parameters coordinately according to the changes of the construction environment, effectively reduce the earth pressure fluctuations during shield tunneling, and can better control the stability of the excavation surface.

scholarly journals Motivating factors affecting the individual energy consumption behavior

2021 ◽  
Vol 124 ◽  
pp. 08003
Author(s):  
Jalal ud Din Akbar ◽  
Muhammad Ridhuan Tony Lim Abdullah
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Human Behavior ◽  
Clean Energy ◽  
Daily Routine ◽  
Factors Affecting ◽  
Number Of Factors ◽  
Development Goals ◽  
The Government ◽  
The Individual

Global challenges of climate change and environmental deterioration helped in formulating seventeen sustainable development goals through United Nation. Achieving these sustainable goals, Malaysia initiated and track progress towards affordable and clean energy. The natural environment and climate are mostly influenced by human behavior. Due to the role of human behavior in climate change, a strong tendency towards the pursuit of energy sustainability exists. Attention is paid to strengthen the human behavior from general acts of doing things to carrying specific actions by adopting a responsible behavior into daily routine. A number of factors were identified through literature such as social structure, institution, and education for understanding the individual behavior for sustainability with regard to energy consumption. Many experts related to the field of energy were engaged to sort and prioritize these factors with respect to their importance by using multi-criteria decision making tool of analytical hierarchy process (AHP). The experts were selected from different sectors such as academia, NGOs and industry. With the help of experts, a framework of individual energy consumption behaviour is developed to allow the government and other stakeholders to make policies accordingly to achieve energy sustainable.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

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