Long-term cost trajectories for biofuels in China projected to 2050. (1st October 2018)
- Record Type:
- Journal Article
- Title:
- Long-term cost trajectories for biofuels in China projected to 2050. (1st October 2018)
- Main Title:
- Long-term cost trajectories for biofuels in China projected to 2050
- Authors:
- Xu, Jie
Yuan, Zhenhong
Chang, Shiyan - Abstract:
- Abstract: Biofuels mitigate and offset greenhouse gases. A long-term levelized cost of energy (LCOE) estimation for biofuels in China was carried out, using a novel probabilistic model to analyze the likelihood of biofuels economically outrunning fossil fuels. This model calculated LCOE based on five uncertain input parameters fed into a Monte Carlo simulation, namely, discount rate, firm size, feedstock price, product yield and catalyst/enzyme cost, while key assumptions were used to determine their probability distributions. Model results show that the mean levelized costs of most biofuel technologies will fall below 9500 Chinese Yuan per ton by 2030 and below 9000 Chinese Yuan per ton by 2050; it is highly possible for most biofuel technologies to gain economic feasibility and competitiveness by around 2025–2030 in China. The LCOE reduction of 1.5-generation (1.5G) biofuels is feedstock-driven, while that of 2 nd -generation (2G) biofuels is technology-driven. Meanwhile, 1.5G biofuels are more sensitive to crude oil price changes than 2G biofuels, with a drop in crude oil price having a greater effect on 2G biofuels than a rise. On average, every 10% rise in crude oil price accelerates their economic feasibility by 2–3 years, while every 10% drop delays this feasibility by 3–5 years. Highlights: A long-term levelized cost estimation for biofuels in China was carried out. A model to analyze the likelihood of biofuels economically was built. Most biofuels can gain economicAbstract: Biofuels mitigate and offset greenhouse gases. A long-term levelized cost of energy (LCOE) estimation for biofuels in China was carried out, using a novel probabilistic model to analyze the likelihood of biofuels economically outrunning fossil fuels. This model calculated LCOE based on five uncertain input parameters fed into a Monte Carlo simulation, namely, discount rate, firm size, feedstock price, product yield and catalyst/enzyme cost, while key assumptions were used to determine their probability distributions. Model results show that the mean levelized costs of most biofuel technologies will fall below 9500 Chinese Yuan per ton by 2030 and below 9000 Chinese Yuan per ton by 2050; it is highly possible for most biofuel technologies to gain economic feasibility and competitiveness by around 2025–2030 in China. The LCOE reduction of 1.5-generation (1.5G) biofuels is feedstock-driven, while that of 2 nd -generation (2G) biofuels is technology-driven. Meanwhile, 1.5G biofuels are more sensitive to crude oil price changes than 2G biofuels, with a drop in crude oil price having a greater effect on 2G biofuels than a rise. On average, every 10% rise in crude oil price accelerates their economic feasibility by 2–3 years, while every 10% drop delays this feasibility by 3–5 years. Highlights: A long-term levelized cost estimation for biofuels in China was carried out. A model to analyze the likelihood of biofuels economically was built. Most biofuels can gain economic feasibility around 2025–2030 in China. The driving force of the levelized cost reduction of biofuels is various. Oil price will impact the economic feasibility period of biofuels. … (more)
- Is Part Of:
- Energy. Volume 160(2018)
- Journal:
- Energy
- Issue:
- Volume 160(2018)
- Issue Display:
- Volume 160, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 160
- Issue:
- 2018
- Issue Sort Value:
- 2018-0160-2018-0000
- Page Start:
- 452
- Page End:
- 465
- Publication Date:
- 2018-10-01
- Subjects:
- Biofuel -- Monte Carlo simulation -- Uncertainty analysis -- Levelized cost of energy -- Renewable energy
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2018.06.126 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23164.xml