Investigation on Electric Air-Conditioning System Energy Consumption of an Electric Vehicle Powered by Li-ion Battery

2014 ◽  
Vol 03 (01) ◽  
Author(s):  
Mebarki B Draoui B
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Air Conditioning ◽  
Li Ion Battery ◽  
Air Conditioning System ◽  
Li Ion ◽  
System Energy

The Energy Consumption Investigation of the Hotel Central Air-Conditioning System and the Research of Energy Saving Measures

2013 ◽  
Vol 712-715 ◽  
pp. 1614-1618
Author(s):  
Jia Jia Ni ◽  
Li Tao ◽  
Yi Jun Wang ◽  
Jin Lei Wu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Waste Heat ◽  
Frequency Control ◽  
Building Envelope ◽  
Air Conditioning System ◽  
Central Air Conditioning ◽  
Energy Saving Technology ◽  
System Energy

Through to investigation on present situation of the Changzhou Changrui Hotel air conditioning system energy consumption, by analysis the energy consumption, the power consumption of hotel central air-conditioning system charge 58% of the total electric, accounted for a large proportion. So we should take the necessary measures to reduce the expenses of air conditioning system energy consumption. According to the analysis of data on the survey, we put forward some particular energy-saving measures of central air-conditioning system of the hotel, including strengthening the building envelope insulation, energy saving technology of doors and windows, measures of roof energy saving, setting reasonable indoor temperature, adopting frequency control air-conditioning, reuse waste heat of the central air-conditioning, using the condensation water of central air conditioning to make-up water and reducing temperature of cooling tower , and drying the fresh air independently.

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.

The Experimental Research on Beijing Subway Air-Conditioning System Energy-Saving

2012 ◽  
Vol 170-173 ◽  
pp. 2494-2498 ◽  
Author(s):  
Wei Ya Zhang ◽  
Jun Wei
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Air Conditioning ◽  
Subway Station ◽  
Air Conditioning System ◽  
Feasible Method ◽  
System Energy ◽  
Reasonable Energy ◽  
Beijing Subway

The subway is the major means of transportation in Beijing, and it also takes huge energy consumption. Now the consumption of a subway station is 9500 kWh every day, and the proportion of the air-conditioning system energy dissipation is about 64%, in which, a big part of that can be saved down to save and make full use of the energy. The key to the air-conditioning system energy saving is to put forward reasonable energy-saving schemes and feasible method. In this paper, with a subway station in Beijing as a test location，the measurement and data analysis are carried out, and the schemes put forward for energy conservation and emission reduction in subway air- conditioning system.

scholarly journals Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles

2019 ◽  
Author(s):  
Hao Wang ◽  
Mohammad Reza Amini ◽  
Ziyou Song ◽  
Jing Sun ◽  
Ilya Kolmanovsky
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Automotive Application ◽  
Automated Vehicles ◽  
Air Conditioning System ◽  
Temperature Tracking ◽  
Cabin Temperature ◽  
Virtual Testbed ◽  
Fuel Economy Improvement ◽  
System Energy

Abstract In this paper, we propose a combined energy and comfort optimization (CECO) strategy for the air conditioning (A/C) system of the connected and automated vehicles (CAVs). By leveraging the weather and traffic predictions enabled by the emerging CAV technologies, the proposed strategy is able to minimize the A/C system energy consumption while maintaining the occupant thermal comfort (OTC) within the comfort constraints, where the comfort is quantified by a modified predictive mean vote (PMV) model adapted for an automotive application. A general CECO problem is formulated and addressed using model predictive control (MPC) and weather/traffic previews. Depending on the ways of exploiting the preview information and enforcing the OTC constraint, different MPCs are developed based on solving different variations of the general CECO problem. The CECO-based MPCs are then tested in simulation using an automotive A/C system simulation model (CoolSim) as the virtual testbed. The simulation results show that, over SC03 driving cycle, the proposed CECO-based MPCs outperform the baseline cabin temperature tracking controller, reducing the A/C system energy consumption by up to 7.6%, while achieving better OTC according to the PMV-based metrics. This energy saving in A/C system translates to 3.1% vehicle fuel economy improvement. The trade-off between energy efficiency and OTC for different control scenarios is also highlighted.

Influences of Exterior Windows on Heating and Air-Conditioning System Energy Consumption in Residential Building

2014 ◽  
Vol 521 ◽  
pp. 714-718
Author(s):  
Chun E Li ◽  
Ya Jun Wang ◽  
Ying Cai
Keyword(s):  
Heat Transfer ◽  
Energy Consumption ◽  
Air Conditioning ◽  
Residential Building ◽  
The Other ◽  
Air Conditioning System ◽  
System Energy ◽  
Typical Design ◽  
The Heat Transfer Coefficient ◽  
Optimal Window

The energy consumption of a typical design of a building in Lanzhou was simulated by the software DeST-h to gain the changing regulation of rooms load index with different window-wall ratio, shading coefficient and the heat transfer coefficient. Research shows that the optimal window-wall ratio is 0.5 in the south orientation. In the other orientations, the smaller radio of window-wall could assure less energy consumption.

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