scholarly journals Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 117413-117427
Author(s):  
Zeeshan Ali Shah ◽  
Hatem F. Sindi ◽  
Azhar Ul-Haq ◽  
Mian Ashfaq Ali
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Air Conditioning ◽  
Load Control ◽  
Direct Load Control ◽  
Control Scheme ◽  
Reduce Energy Consumption

scholarly journals A Novel Clustering Approach in Wireless Sensor Network Using Genetic Algorithm and Fuzzy Logic

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Fatemehzahra Gholami Tirkolaei ◽  
Faramarz E. Seraji
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Main Challenge ◽  
Clustering Approach ◽  
Reduce Energy Consumption ◽  
Reduction Of Energy Consumption

<p>Wireless sensor network consists of hundred or thousand sensor nodes that are connected together and work simultaneously to perform some special tasks. The restricted energy of sensor nodes is the main challenge in wireless sensor network as node energy depletion causes node death. Therefore, some techniques should be exerted to reduce energy consumption in these networks. One of the techniques to reduce energy consumptions most effectively is the use of clustering in wireless sensor networks.</p><p>There are various methods for clustering process, among which LEACH is the most common and popular one. In this method, clusters are formed in a probabilistic manner. Among clustering strategies, applying evolutional algorithm and fuzzy logic simultaneously are rarely taken into account. The main attention of previous works was energy consumption and less attention was paid to delay.</p><p>In the present proposed method, clusters are constructed by an evolutional algorithm and a fuzzy system such that in addition to a reduction of energy consumption, considerable reduction of delay is also obtained. The simulation results clearly reveal the superiority of the proposed method over other reported approaches.</p>

scholarly journals Energy Efficient Air Curtains for Industrial Gates in Cold Climates

2021 ◽  
Vol 246 ◽  
pp. 08005
Author(s):  
A.S. Strongin ◽  
A.M. Zhivov
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Thermal Power ◽  
Hvac Systems ◽  
Energy Resources ◽  
Cold Climates ◽  
Construction Costs ◽  
Reduce Energy Consumption

In geographical areas with cold climates, large, massively constructed industrial and warehouse buildings and logistics complexes are large consumers of energy resources. The great height and large contained volumes of the premises, the presence of a significant number of doors, and building configurations that include many transport corridors all require the use of air-thermal curtains to increase the energy efficiency of the buildings’ heating, ventilating, and air-conditioning (HVAC) systems, which commonly produce several thousand kilowatts of thermal power. Optimization of air curtains can improve the microclimates of the premises, achieve savings in the initial construction costs, and also reduce energy consumption during operation by 10–20%.

Energetic and Economic Potential for Load Control for Residential Customers in Austin, TX

2020 ◽  
Author(s):  
Arkasama Bandyopadhyay ◽  
Julia P. Conger ◽  
Emily A. Beagle ◽  
Michael E. Webber ◽  
Benjamin D. Leibowicz
Keyword(s):  
Energy Consumption ◽  
Demand Response ◽  
Linear Optimization ◽  
Peak Load ◽  
Load Control ◽  
Control Mechanisms ◽  
Electricity Grid ◽  
Water Heaters ◽  
Direct Load Control ◽  
Air Conditioning Systems

Abstract This study uses a linear optimization framework to evaluate the effect of different demand response (DR)/load control mechanisms on reduction in peak load and energy consumption from the electricity grid in a home with four major controllable appliances — HVAC (heating, ventilation, and air-conditioning) systems, electric water heaters (EWHs), electric vehicles (EVs), and pool pumps (PPs). Two incentive-based DR methods and four price-based DR schemes — real time pricing (RTP), time-of-use (TOU) rates, critical peak prices (CPP), and variable peak prices (VPP) — are analyzed. Load reduction potential is evaluated for scenarios where the home has both onsite solar and storage, only solar, and no solar or storage. Results show that, from the utility’s perspective, the optimal load control schemes, which result in greatest reduction in peak load and energy consumption from the grid during peak hours, are CPP and VPP (critical price option). By considering the combined effect of demand response, solar generation, and energy storage systems, this study aims to equip electric utilities with the ability to make decisions about dynamic rate design and direct load control to curtail peak demand and shift energy usage.

Modeling of Electric Vehicle Air Conditioning System and Analysis of Energy Consumption

2012 ◽  
Vol 516-517 ◽  
pp. 1164-1170 ◽  
Author(s):  
Jin Rui Nan ◽  
Yao Wang ◽  
Zhi Chai ◽  
Jun Kui Huang
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Fuzzy Logic Control ◽  
Air Conditioning ◽  
Control Method ◽  
Air Conditioning System ◽  
Logic Control ◽  
Ac Motor ◽  
Total Vehicle

An simulation model for pure electric vehicle air conditioning system is established in MATLAB/ Simulink environment. The critical component of air conditioning system is selected and simulated. Fuzzy logic control method is used in AC motor controlling strategy. Combined with ADVISOR, the total vehicle energy consumption and AC energy consumption are simulated and calculated. The research indicate that by using Fuzzy logic control led AC system, the vehicle’s economcial effeciency improved. Life mileage is longer than the EV with traditional AC system and a better effect of energy saving is achieved.

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