Indexed by:
Abstract:
The advent of the energy Internet (EI) has dramatically changed the energy model of today's world. Despite scholars have done a lot of research on energy Internet, few articles have been written to evaluate its CO2 emission reduction. In order to fill the vacancy, system dynamics (SD) is used to set up the dynamic assessment model of CO2 emission reduction of regional energy Internet. To illustrate the effectiveness of the model, we take the energy Internet in Yanqing district of Beijing as an example for simulation. The results show that the total CO2 emission reduction of this energy Internet will reach 5056.82 tons in 2019, and the emission reduction will continue to increase in the following years, the total amount of CO2 emission reduction peaked at 13384.80 tons in 2030. We conclude: (1) The CO2 emission reduction dynamic assessment model established in this paper has a strong versatility and can be applied to any built or planned energy Internet. (2) Energy Internet has a good long term effect in emission reduction. (3) The emission reduction of the supply side is the most obvious; the user side has the greatest potential for emission reduction, while the contribution of the transmission side to emissions reduction is the most stable. The innovation points of this paper mainly include: (1) we put forward and solve the dynamic assessment of carbon emission reduction on the energy Internet for the first time. (2) We establish a dynamic assessment model of CO2 emission reduction in the energy Internet based on system dynamics. (3) We quantitatively analyze the emission reduction contribution of the supply side, transmission side and user side of the energy Internet. (C) 2020 Elsevier Ltd. All rights reserved.
Keyword:
Reprint Author's Address:
Source :
JOURNAL OF CLEANER PRODUCTION
ISSN: 0959-6526
Year: 2020
Volume: 272
1 1 . 1 0 0
JCR@2022
ESI Discipline: ENGINEERING;
ESI HC Threshold:115
Cited Count:
WoS CC Cited Count: 11
SCOPUS Cited Count: 12
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 10
Affiliated Colleges: