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Academic Journal of Energy, 2021, 2(3); doi: 10.38007/RE.2021.020304.

Energy Consumption under the Influence of Industrial Structure Change based on Smart Grid

Author(s)

Lixi Liu and Linyuan Fan

Corresponding Author:
Linyuan Fan
Affiliation(s)

College of Mathematics and Data Science, Minjiang University, Fuzhou 350108, China

Abstract

This paper analyzes the impact of the industrial structure(IS) change of smart grid(SG) on energy consumption(EC). The supporting system of SG and the main control signals in different stages are analyzed, and the general law of EC and energy economic effect coefficient are discussed; Analysis algorithm of the impact of IS change on EC, and then analyzes the impact of IS change of SG on energy efficiency; Through statistical testing, decomposition of energy intensity and analysis of carbon emission characteristics of regional intelligent distribution network in recent 10 years, it is concluded that the change of IS of intelligent distribution network has a great impact on EC. SG uses intelligent interaction to promote real-time communication between supply and demand sides, so as to improve power efficiency and save EC.

Keywords

Smart Grid, Industrial Structure, Structural Changes, Energy Consumption Impact

Cite This Paper

Lixi Liu and Linyuan Fan. Energy Consumption under the Influence of Industrial Structure Change based on Smart Grid. Academic Journal of Energy (2021), Vol. 2, Issue 3: 30-38. https://doi.org/10.38007/RE.2021.020304.

References

[1] Syed D ,  Abu-Rub H ,  Ghrayeb A , et al. Deep Learning-Based Short-Term Load Forecasting Approach in SG With Clustering and Consumption Pattern Recognition. IEEE Access, 2021, PP(99):1-1.

[2] Manxi, Wang, Haitao, et al. Non-cooperative differential game based EC control for dynamic demand response in SG. Communications, China, 2019, 16(8):107-114. https://doi.org/10.23919/JCC.2019.08.010

[3] Hafeez G ,  Alimgeer K S ,  Qazi A B , et al. A Hybrid Approach for EC Forecasting with a New Feature Engineering and Optimization Framework in SG. IEEE Access, 2020, PP(99):1-1.

[4] Khanal U ,  Wilson C ,  Lee B L , et al. Influence of payment modes on farmers7 contribution to climate change adaptation: understanding differences using a choice experiment in Nepal. Sustainability science, 2019, 14(4):1027-1040.

[5] Kim K ,  Ito S ,  Yoshida S , et al. Analysis Of Influence Of Climate Change On Demand And System Of Heating And Cooling Predicted By D4pdf: A case of Minatomirai 21 DHC Area in Yokohama. Journal of Environmental Engineering (Transactions of AIJ), 2019, 84(755):83-91. https://doi.org/10.3130/aije.84.83

[6] Egorova V I ,  Sveshnikova E V ,  Naumova V V , et al. Influence of water temperature on metabolic energy structure in fish. Vestnik Of Astrakhan State Technical University Series Fishing Industry, 2019, 2019(4):110-116. https://doi.org/10.24143/2073-5529-2019-4-110-115

[7] Kruchinin O N ,  Mizyurkin M A ,  Zakharov E A . Change in shape of a linear hydrobiotechnical structure (HBTS) under influence of the sea waves. Izvestiya TINRO, 2020, 200(4):994-1007.

[8] Proskuryakov V I ,  Rodionov I V . Comparative Analysis Of The Influence Of The Composition Of The Alloying Covering On The Change In The Structure And Microhardness Of Stainless Steel 12kh18n10t. Izvestia Volgograd State Technical University, 2021(2(249)):88-92.

[9] Mckenna E ,  Pless J ,  Darby S J . Corrigendum to 'Solar photovoltaic self-consumption in the UK residential sector: New estimates from a SG demonstration project' Energy Policy 118 (2018) 482-491. Energy Policy, 2019, 124(JAN.):421-421. https://doi.org/10.1016/j.enpol.2018.04.006

[10] Vukelic M . Relationalism and changes in international relations: An example of the influence of algorithmic power on the structure of everyday life and the emergence of national populism. Medjunarodni Problemi, 2021, 73(2):284-309. https://doi.org/10.2298/MEDJP2102284V

[11] Wongsapai W ,  Malakrong P ,  Kanjananirin T . Factors impact of EC in Thailand's frozen seafood industry. International Journal of SG and Clean Energy, 2019, 8(3):271-275. https://doi.org/10.12720/sgce.8.3.271-275

[12] Costa V ,  Fernandes V ,  Ribeiro M V . Narrowband hybrid PLC/wireless: Transceiver prototype, hardware resource usage and EC. Ad hoc networks, 2019, 94(Nov.):101945.1-101945.11. https://doi.org/10.1016/j.adhoc.2019.101945

[13] Pilz M ,  Al-Fagih L . Recent Advances in Local Energy Trading in the SG Based on Game-Theoretic Approaches. SG, IEEE Transactions on, 2019, 10(2):1363-1371. https://doi.org/10.1109/TSG.2017.2764275

[14] Tseng S W ,  Chen Y Y . How Did the Changes in Industrial and Energy Structure Influence EC in Shandong, China?. Journal of Clean Energy Technologies, 2021, 9(1):1-11.

[15] Jafari H ,  Akbarzade K ,  Danaee I . Corrosion inhibition of carbon steel immersed in a 1M HCl solution using benzothiazole derivatives. Arabian Journal of Chemistry, 2019, 12(7):s 1387-1394. https://doi.org/10.1016/j.arabjc.2014.11.018

[16] Oumarou F A ,  Ouedraogo A ,  Ky S , et al. Effect of the Orientation on the Comfort of a Building Made with Compressed Earth Block. SG and Renewable Energy, 2021, 12(7):99-112. https://doi.org/10.4236/sgre.2021.127007

[17] Jamil F ,  Iqbal N , Imran, et al. Peer-to-Peer Energy Trading Mechanism Based on Blockchain and Machine Learning for Sustainable Electrical Power Supply in SG. IEEE Access, 2021, PP(99):1-1.

[18] Feixia, Min, Xiaofeng, et al. Recent Advances in Local Energy Trading in the SG Based on Game-Theoretic Approaches. IEEE Transactions on SG, 2019, 10(2):1363-1371. https://doi.org/10.1109/TSG.2017.2764275