Behavioral Analysis of Electricity Demand
A Sociological explanation of the relationship between social trust and electricity consumption
The effect of various factors on electricity consumption in Iran has caused that according to international statistics, the consumption of the domestic sector is three times the global average. Among these, one of the most important influential factors is social trust. To experimentally test this issue, the authors of this study studied a sample of 400 people in Isfahan by survey method and using a questionnaire. The findings of this study show that social trust does not directly affect electricity consumption and indirectly increases consumption in such a way that lack of social trust causes people to ignore the requests and messages of officials about Proper electricity consumption. At the same time, the very low price of electricity in Iran and the lack of highly efficient electrical appliances in homes largely neutralize the variable effect of social trust.
Willett Kempton and Jasna Tomić, “Vehicle-to-grid power fundamentals: Calculating capacity and net revenue”, Journal of Power Sources, vol. 144, no. 1, pp. 268-279, 2005, [online] Available: https://doi.org/10.1016/j.jpowsour.2004.12.025, ISSN 0378-7753.
A. G. Boulanger, A. C. Chu, S. Maxx and D. L. Waltz, “Vehicle Electrification: Status and Issues”, Proceedings of the IEEE, vol. 99, no. 6, pp. 1116-1138, June 2011.
A. Abdulaal, M. H. Cintuglu, S. Asfour and O. A. Mohammed, “Solving the Multivariant EV Routing Problem Incorporating V2G and G2V Options”, IEEE Transactions on Transportation Electrification, vol. 3, no. 1, pp. 238-248, March 2017.
Muhammad Usman, Luk Knapen, Ansar-Ul-Haque Yasar, Tom Bellemans, Davy Janssens and Geert Wets, “Optimal recharging framework and simulation for electric vehicle fleet”, Future Generation Computer Systems, vol. 107, pp. 745-757, 2020, [online] Available: https://doi.org/10.1016/j.future.2017.04.037, ISSN 0167-739X.
Bo Zeng, Jiahuan Feng, Jianhua Zhang and Zongqi Liu, “An optimal integrated planning method for supporting growing penetration of electric vehicles in distribution systems”, energy, vol. 126, pp. 273-284, 2017, [online] Available: https://doi.org/10.1016/j.energy.2017.03.014, ISSN 0360-5442.
R. Azizipanah-Abarghooee, V. Terzija, F. Golestaneh and A. Roosta, “Multiobjective Dynamic Optimal Power Flow Considering Fuzzy-Based Smart Utilization of Mobile Electric Vehicles”, IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 503-514, April 2016.
M. R. Sarker, H. Pandžić, K. Sun and M. A. Ortega-Vazquez, “Optimal operation of aggregated electric vehicle charging stations coupled with energy storage”, IET Generation Transmission & Distribution, vol. 12, no. 5, pp. 1127-1136, 3 2018.
M. S. Ahmad and S. Sivasubramani, “Multi-objective V2G energy storage system for grid support with cost and emission reduction”, 2016 IEEE Region 10 Conference (TENCON), pp. 1925-1928, 2016.
M. Caruso, V. Boscaino, R. Miceli, M. Cellura and C. Spataro, “Optimal energy management of smart grids with plug-in hybrid electric vehicles”, 2015 International Conference on Renewable Energy Research and Applications (ICRERA), pp. 1275-1278, 2015.
D. Yu, M. P. Adhikari, A. Guiral, A. S. Fung, F. Mohammadi and K. Raahemifar, “The Impact of Charging Battery Electric Vehicles on the Load Profile in the Presence of Renewable Energy”, 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), pp. 1-4, 2019.
R. Kumar, R. Saxena and A. Srivastava, “Modeling Simulation and Energy-Flow Study of a Battery Electric Vehicle in Labview”, 2019 IEEE International Conference on Electrical Computer and Communication Technologies (ICECCT), pp. 1-7, 2019.
Polly Thomas and Karthiyean S Prabhakar, “Development of a Self-Coordinated Algorithm for Demand Side Management in the Case of Aggregated Electric Vehicle in a Grid Integrated System”, International Journal of Engineering and Technology (IJET), vol. 7, no. 4.10, pp. 182-189, October 2018.
P. Jain and T. Jain, “Impacts of G2V and V2G power on electricity demand profile”, 2014 IEEE International Electric Vehicle Conference (IEVC), pp. 1-8, 2014.
K. Sharma, R. Kumar, R. Kumar and V. Kumar, “A Hybrid System for Power Refrigerate & Air Conditioning System By Renewable Source of Energy”, Int. J. Adv. Electr. Electron. Eng, 2012.
X. Ye, M. H. Hung and H. Rong, “Performance Prediction of Air-conditioning Systems Based on Fuzzy Neural Network”, J. Comput, vol. 29, 2018.
P. Nangtin, P. Kumhom and K. Chamnongthai, “Adaptive actual load for energy saving in split type air conditioning”, International Symposium on Communications & Information Technologies, 2016.