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Nature Environmental Protection, 2022, 3(3); doi: 10.38007/NEP.2022.030307.

Design and Implementation of Environmental Protection Publicity Based on Green Energy Effect

Author(s)

Tingting Wang

Corresponding Author:
Tingting Wang
Affiliation(s)

Graduate School, Mokwon University, South Korea

Abstract

The concept of environmental protection(EP) propaganda has developed in a dynamic and active way, reflecting the deepening awareness of EP education. As the environmental problems intensify, it is urgent to promote and popularize the concept of EP. Therefore, this paper designs an EP propaganda website, where environmental news and propaganda announcements can be published. This paper takes a city's application of this website to promote the concept of EP to the city and do a good job of energy conservation and EP as an example. Comparing the energy consumption before and after the green energy(GE) planning, it is found that the city saves 14.905 million kgee after the EP propaganda work, which shows that the EP propaganda website improves the citizens' awareness of energy conservation, promotes the development of GE in the city, and provides guarantee for the realization of green economy and green life.

Keywords

Green Energy, Environmental Protection, Awareness Website, Energy Saving, Green Living

Cite This Paper

Tingting Wang. Design and Implementation of Environmental Protection Publicity Based on Green Energy Effect. Nature Environmental Protection (2022), Vol. 3, Issue 3: 54-61. https://doi.org/10.38007/NEP.2022.030307.

References

[1] Erik H, Bernhard L. Has Korean growth become greener? Spatial Econometric Evidence for Energy use and Renewable Energy. Ann. Oper. Res. (2022) 313(1): 461-494. https://doi.org/10.1007/s10479-021-04197-8

[2] Syed K A R, Bushra N, Nawazish M. Is Green Investment Different From Grey? Return and Volatility Spillovers between Green and Grey Energy Etfs Ann. Oper. Res. (2022) 313(1): 495-524. https://doi.org/10.1007/s10479-021-04367-8

[3] Norbert S, Johannes D, Max W, Christian K, Sven A. Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems? Computer (2022) 55(3); 74-81. https://doi.org/10.1109/MC.2021.3120048

[4] Israr Ullah, Muhammad Fayaz, Muhammad Aman, DoHyeun Kim: An optimization scheme for loT based smart greenhouse climate control with efficient energy consumption. Computing (2022) 104(2): 433-457. https://doi.org/10.1007/s00607-021-00963-5

[5] Mohammad N, Amir R M. A Novel Approach to Energy-Aware Resource Management: Toward Green NOMA Heterogeneous Networks. Intell. Data Anal 26(5): 1379-1402 (2022). https://doi.org/10.3233/IDA-215929

[6] Rajeshwari B. S, Dakshayini M. Energy Efficient VM Placement and Task Scheduling Techniques to Achieve Green Cloud Environment. Int. J. Adv. Intell. Paradigms (2022) 22(3/4): 41 6-435. https://doi.org/10.1504/IJAIP.2022.124321

[7] Ozan A, Umut C G, Ozan S, Osman U Y, Pelin A G. An Energy Efficient secures Network Slicing Framework. J Internet Serv. Inf, Secur. (2022) 12(1): 57-71.

[8] Tobias E, Martin P, Doreen T. Automation of Maritime Shipping for More Safety and EP. Autom. (2022) 70(5): 406-410. https://doi.org/10.1515/auto-2022-0003

[9] Eleni S A, Evangelos N G, Konstantina S N. A Safety System for Human Radiation Protection and Guidance in Extreme Environmental Conditions. IEEE Syst. J. (2020) 14(1): 1384-1394. https://doi.org/10.1109/JSYST.2019.2920135

[10] Abdolhamid S G, Sahar V P, Davood D S. Extension of a Hybrid MABAC-DANP Method Under Gray Environment for Green Supplier Selection. Int. J. Inf. Technol. Decis. Mak. (2022) 21(2): 755-788. https://doi.org/10.1142/S021962202150070X

[11] Jose R C, Daniel J, Micaela M C. Organisational Agility, Environmental Knowledge and Green Product Success. J. Knowl. Manag. (2022) 26(9): 2440-2462. https://doi.org/10.1108/JKM-06-2021-0486

[12] Jun S. Green Robotics: Toward Realization of Environmentally Friendly Soft Robots. J. Robotics Mechatronics (2022) 34(2): 270-272.

[13] Bidhan M, Bibhas C. Unravelling the Differential Effects of Pride and Guilt Along with Values on Green Intention through Environmental Concern and attitude. Kybernetes (2022) 51(7): 2273-2304. https://doi.org/10.1108/K-04-2021-0336

[14] Maryam S, Kannan G, Donya R. Pricing Policy in Green Supply Chain Design: The Impact of Consumer Environmental Awareness and Green Subsidies. Oper. Res. (2022) 22(4): 3989-4028. https://doi.org/10.1007/s12351-021-00680-z

[15] Abdul S, Ahmad K A H O, Mohd F H, Syed N M S, Ali A. Enabling Rank-Based Distribution of Microservices among Containers for Green Cloud Computing Environment. Peer to Peer Netw. Appl. (2022) 15(1): 77-91. https://doi.org/10.1007/s12083-021-01218-y

[16] Brojeswar P, Amit S. Optimal Strategies of a Dual-Channel Green Supply Chain with Recycling under Retailer Promotional Effort. RAIRO Oper. Res. (2021) 55(2): 415-431. https://doi.org/10.1051/ro/2021016

[17] Peyman A, Masoud R, Amir A, Alireza R B. Risk-Constrained Bidding Strategy for Demand Response, GE Resources, and Plug-In Electric Vehicle in a Flexible Smart Grid. IEE Syst. (2021) 15(1): 338-345. https://doi.org/10.1109/JSYST.2020.2964854

[18] Darrell N B, Roderick F, Preston V L L, Amina I A O, Harry L Hobbs. A Real-World Exploration of Green Human Resources and Sustainability Education in Hyper-Connected and Technology-Driven Organizations. Int. Smart Educ. Urban Soc. (2020) 11(4): 65-75. https://doi.org/10.4018/IJSEUS.2020100105