TY  - JOUR
TI  - Economic feasibility assessment of coal-biomass co-firing power generation technology
Y1  - 2024/06/01/
SN  - 0360-5442
AV  - public
N2  - Biomass co-firing technology is a potential solution for low-carbon transition of coal-fired power plants. Existing techno-economic analyses of this technology fail to consider indirect benefits, such as avoided losses from technology retrofitting, and the heterogeneity across regions. To address these limitations, we developed five types of techno-economic indicators to analyze six possible future scenarios for the application of this technology in 29 provinces of China, based on regional heterogeneous data. The results show, first, generally, the higher the local coal price, the local on-grid electricity price, the biomass feed-in tariff subsidy, and the carbon trading price, the greater the incentives and benefits for biomass co-firing. Second, bio-electricity tariff subsidies greatly increase the incentives for technology retrofitting, with 26 of the 29 provinces analyzed having sufficient incentives for retrofits in this scenario. Third, biomass co-firing technology has more revenue potential when emission quota is limited than when it's not. Our results indicate that a timely tightening of the CO2 emission quotas of the coal power sector will stimulate technological retrofits even without additional policy incentives, while more plants retrofitted will achieve positive returns with additional incentives.
UR  - https://doi.org/10.1016/j.energy.2024.131092
ID  - discovery10190595
N1  - © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
VL  - 296
KW  - Coal-fired power
KW  -  
Biomass co-firing technology
KW  -  
Break-even price
KW  -  
Techno-economics
KW  -  
Scenario analysis
KW  -  
Indirect benefits
KW  -  
China
KW  -  
CO2 reduction
KW  -  
Emission quota
KW  -  
LCA
A1  - Zhang, Yun-Long
A1  - Liu, Lan-Cui
A1  - Kang, Jia-Ning
A1  - Peng, Song
A1  - Mi, Zhifu
A1  - Liao, Hua
A1  - Wei, Yi-Ming
PB  - Elsevier BV
JF  - Energy
ER  -