Production of aviation fuel with negative emissions via chemical looping gasification of biogenic residues: Full chain process modelling and techno-economic analysis

Saeed, Muhammad Nauman; Shahrivar, Mohammad; Surywanshi, Gajanan Dattarao; Kumar, Tharun Roshan; Mattisson, Tobias; Soleimanisalim, Amir H.

doi:10.1016/j.fuproc.2022.107585

Cited by 10 publications

(3 citation statements)

References 54 publications

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“…However, direct comparisons with other TEA studies are difficult, due to differing economic assumptions and TEA methodologies, as well as the scale of the analysed installation. The study of Saeed et al [30] (using a CLG configuration and pine forest residues) established a levelized cost of FT syncrude of €110/MWh. However, the biofuel plant analysed had a lower biomass capacity, which can account for the increase in fuel costs.…”

Section: Breakeven Sellingmentioning

confidence: 99%

“…For FT syncrude production, only Kumar et al [29] and Saeed et al [30] have so far investigated the technoeconomic feasibility of using the CLG instead of conventional gasification, using lignocellulosic residues, at a scale of 100 and 80 MW (thermal input), respectively. Neither of the papers mentioned above considered the environmental impact of the fuel synthesis plant, which is an important feature of the novelty of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Technoeconomic and Environmental Assessment of Biomass Chemical Looping Gasification for Advanced Biofuel Production

Gogulancea

Rolfe

Jaffar

et al. 2023

International Journal of Energy Research

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Chemical looping gasification is a promising biomass conversion technology that could produce sustainable liquid transportation fuels on a large scale to reduce fossil fuel dependency. The current paper examines the technical, economic, and environmental performance of a biomass-to-liquid (BtL) process based on chemical looping gasification and Fischer-Tropsch synthesis. Two biomass feedstocks, i.e., pine forest residues and wheat straw, are selected for assessing the complete BtL production chain. The results of process simulations showed that both biomass types are suitable gasification feedstocks, with an overall energy efficiency of 53% and 52% for pine residues and wheat straw, respectively. The economic results show that the breakeven selling prices (BESP) are €816 and €781 per m3 for the pine forest residues and wheat straw pellets, respectively. However, if low-grade excess heat valorisation and CO2 credits are considered, the BESPs could meet or become lower than the target value of €700 per m3, making the BtL plant competitive with other biofuel plants. The CO2 avoidance cost is estimated at €74.4/tCO2 for pine residues and €61.3/tCO2 for wheat straw, when replacing fossil fuels. The results of the life cycle assessment study showed that the produced biofuels fulfil the requirements of the EU Renewable Energy Directive II, achieving the reduction in greenhouse gases emissions of up to 79% without carbon capture and storage (CCS) and up to 264% with CCS compared to fossil fuels.

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Section: Breakeven Sellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Technoeconomic and Environmental Assessment of Biomass Chemical Looping Gasification for Advanced Biofuel Production

Gogulancea

Rolfe

Jaffar

et al. 2023

International Journal of Energy Research

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“…Their results do not explain how plant capacity and varying location as well as biomass properties in uence the MSP. Recently, Saeed et al [12] also explored the economic feasibility of SAF production via chemical looping technologies. Their study showed that an economically feasible SAF with negative emission can be produced by integrated chemical looping technology.…”

Section: Introductionmentioning

confidence: 99%

Data-driven framework for the techno-economic assessment of sustainable aviation fuel from pyrolysis.

Okolie,

Moradi,

Rogachuk

et al. 2024

Preprint

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The aviation sector plays a crucial role in quickly moving people and goods around the world. It also greatly helps in the economic growth and social integration of countries. As the industry continues to experience rapid growth, there is a tendency for an increase in emissions associated with the industry. Sustainable aviation fuel (SAF) presents a way to reduce the environmental effects of the aviation industry by providing a clean-burning, renewable substitute for conventional jet fuel. SAF can be produced from diverse processes and feedstocks. Fast pyrolysis (FP) is a promising thermochemical process for SAF production due to its advantages including low-cost feedstocks, faster reaction times, and simpler technology, making it more cost-effective and scalable compared to other thermochemical processes. However, the preliminary estimation of the economic viability of FP for SAF production is complex and tedious requiring detailed process models and several assumptions. Moreover, the relationship between the feedstock properties and the minimum selling price of fuel (MSP) is often challenging to estimate. To address these challenges, the present study developed a data-driven framework for preliminary estimation of the MSP of SAF from FP. The target output feature is MSP. To enhance model accuracy and predictions, synthetic data was created using Generative Adversarial Networks (GAN) and Variational Autoencoders (VAE), and hyperparameter optimization was conducted using Grid Search. Five surrogate models were evaluated: linear regression, gradient boost regression (GBR), random forest (RF), extreme boost regression (XGBoost), and Elastic net. GBR and RF showed the most promise based on metrics like R², RMSE, and MAE for both original and synthetic datasets. Specifically, GBR achieved a Train R² of 0.9999 and a Test R² of 0.9277, while RF had Train and Test R² scores of 0.9789 and 0.9255, respectively. The use of data from the VAE notably enhanced model accuracy. Additionally, a publicly available GUI has been developed for researchers to estimate the MSP of Sustainable Aviation Fuel (SAF) based on biomass properties, plant capacity, and location.

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Artificial intelligence methods for modeling gasification of waste biomass: a review

Alfarra,

Ozcan,

Cihan

et al. 2024

Environ Monit Assess

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Production of aviation fuel with negative emissions via chemical looping gasification of biogenic residues: Full chain process modelling and techno-economic analysis

Cited by 10 publications

References 54 publications

Technoeconomic and Environmental Assessment of Biomass Chemical Looping Gasification for Advanced Biofuel Production

Technoeconomic and Environmental Assessment of Biomass Chemical Looping Gasification for Advanced Biofuel Production

Data-driven framework for the techno-economic assessment of sustainable aviation fuel from pyrolysis.

Artificial intelligence methods for modeling gasification of waste biomass: a review

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