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Multi-Scenario Analysis of Energy Consumption and Carbon Emissions: The Case of Hebei Province in China.

Authors :
Li, Zeng
Fu, Jingying
Lin, Gang
Jiang, Dong
Liu, Kun
Wang, Yaxin
Source :
Energies (19961073). Feb2019, Vol. 12 Issue 4, p624. 1p. 1 Diagram, 4 Charts, 6 Graphs, 1 Map.
Publication Year :
2019

Abstract

In view of the complexity of the energy system and its complex relationship with socio-economic factors, this study adopts the Long-range Energy Alternative Planning (LEAP) model, a technology-based, bottom-up approach, scenario-based analysis, to develop a systematic analysis of the current and future energy consumption, supply and associated Green House Gas (GHG) emissions from 2015 to 2050. The impact of various energy policies on the energy system in Hebei Province was analysed by considering four scenarios: a Reference Scenario (REF), Industrial Structure Optimization Scenario (ISO), Terminal Consumption Structure Optimization Scenario (TOS) and Low-carbon Development Scenario (LCD). By designing strategic policies from the perspective of industrial adjustment, aggressive energy structure policies and measures, such as the ISO and the TOS, and even more aggressive options, such as the LCD, where the percentage of cleaner alternative energy sources has been further increased, it has been indicated that energy consumption will have increased from 321.618 million tonnes of coal equivalent (Mtce) in 2015 to 784.88 Mtce in 2050 in the REF, with a corresponding increase in GHG emissions from 920.56 million metric tonnes (Mt) to 2262.81 Mt. In contrast, the more aggressive policies and strategies involved in the LCD, which combines the ISO with the policy-oriented TOS, can lower energy consumption by 50.82% and CO2 emissions by 64.26%. The results shed light on whether and how these scenarios can shape the energy-carbon emission reduction trajectories and develop the low-carbon pathways in Hebei Province. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
12
Issue :
4
Database :
Academic Search Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
134936437
Full Text :
https://doi.org/10.3390/en12040624