Thermodynamic, environmental analysis and comprehensive evaluation of supercritical water gasification of biomass fermentation residue

Chen, Jingwei; Liu, Yang; Wu, Xiaomin; Jiaqiang, E; Leng, Erwei; Zhang, Feng; Liao, Gaoliang

doi:10.1016/j.jclepro.2022.132126

Cited by 32 publications

(9 citation statements)

References 56 publications

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“…A flow diagram outlining the research method used in this paper is shown in Figure 1. The data used for the simulation modeling of biomass gasification were collected from the relevant literature on different biomass gasification [17,19,38]. The gasification process simulation model was established based on mass conservation and thermodynamic equilibrium.…”

Section: Process Flowmentioning

confidence: 99%

“…Five different types of biomass including wheat straw, sugarcane bagasse, sewage sludge, food waste, and corn waste were analyzed for process simulation. The ultimate analysis of the five different types of biomass is shown in Table 2 [17,[40][41][42][43]. Different biomass results were collected using multiple simulation calculations for HDMR prediction, as stated in Section 2.2.2.…”

Section: Process Simulation Modelmentioning

confidence: 99%

“…In the SCWG simulation model, the Pen-Robinson equation of state with the Boston-Mathias alpha function (PR-BM) is applied due to its ability to produce accurate results [38,44]. The simulation model is applied using Gibbs free energy minimization [17,19]. The total Gibbs energy of the reaction is shown in Equation ( 1):…”

Section: Process Simulation Modelmentioning

confidence: 99%

“…λ i is the Lagrange multiplier, and L is the Lagrange function. Biomass gasification parameters were obtained from the literature [17]. The temperature range for gasification was selected from 600 • C to 700 • C with an interval of 10 • C, and the pressure range was specified from 25 MPa to 38 MPa in the interval of 1 MPa.…”

Section: Process Simulation Modelmentioning

confidence: 99%

“…Supercritical water gasification technology (SCWG) is a special water state formed when the pressure is 22.1 MPa and the temperature is above 374.1 • C. Compared with conventional biomass gasification technology, SCWG has good solubility, and it serves as both the reaction medium and the reactant, which promotes hydrolysis, the water gas shift reaction, and hydrogen production [15,16]. Chen et al carried out supercritical water gasification of fermented corn stalks using natural gas as the input energy, discussed the energy efficiency of the gasification process, and optimized the process [17]. After optimizing the ratio of supercritical water, coal slurry, and oxygen flow rate, Chen et al achieved a hydrogen production rate of 80% [18].…”

Section: Introductionmentioning

confidence: 99%

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High Dimensional Model Representation Approach for Prediction and Optimization of the Supercritical Water Gasification System Coupled with Photothermal Energy Storage

Lei

Jia

et al. 2023

Processes

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Supercritical water gasification (SCWG) coupled with solar energy systems is a new biomass gasification technology developed in recent decades. However, conventional solar-powered biomass gasification technology has intermittent operation issues and involves multi-variable characteristics, strong coupling, and nonlinearity. To solve the above problems, firstly, a solar-driven biomass supercritical water gasification technology combined with a molten salt energy storage system is proposed in this paper. This system effectively overcomes the intermittent problem of solar energy and provides a new method for the carbon-neutral process of hydrogen production. Secondly, the high dimensional model representation (HDMR) approach, as a surrogate model, was used to predict the production and lower heating value of syngas developed in Aspen Plus, which were validated using experimental data obtained from the literature. The ultimate analysis of biomass, temperature, pressure, and biomass-to-water ratio (BWR) were selected as input variables for the model. The non-dominated sorted genetic algorithm II (NSGA II) was considered to maximize the gasification yield of H2 and the LHV of syngas in the SCWG process for five different types of biomass. Firstly, the results showed that HDMR models demonstrated high performance in predicting the mole fraction of H2, CH4, CO, CO2, gasification yield of H2, and lower heating value (LHV) with R2 of 0.995, 0.996, 0.997, 0.996, 0.999, and 0.995, respectively. Secondly, temperature and BWR were found to have significant effects on SCWG compared to pressure. Finally, the multi-objective optimization results for five different types of biomass are discussed in this paper. Therefore, these operating parameters can provide an optimal solution for increasing the economics and characteristics of syngas, thus keeping the process energy efficient.

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Section: Process Flowmentioning

confidence: 99%

Section: Process Simulation Modelmentioning

confidence: 99%

Section: Process Simulation Modelmentioning

confidence: 99%

Section: Process Simulation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High Dimensional Model Representation Approach for Prediction and Optimization of the Supercritical Water Gasification System Coupled with Photothermal Energy Storage

Lei

Jia

et al. 2023

Processes

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Life cycle assessment of hydrogen production, storage, and utilization toward sustainability

Osman,

Nasr,

Mohamed

et al. 2024

WIREs Energy & Environment

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In the pursuit of sustainable energy solutions, hydrogen emerges as a promising candidate for decarbonization. The United States has the potential to sell wind energy at a record‐low price of 2.5 cents/kWh, making hydrogen production electricity up to four times cheaper than natural gas. Hydrogen's appeal stems from its highly exothermic reaction with oxygen, producing only water as a byproduct. With an energy content equivalent to 2.4 kg of methane or 2.8 kg of gasoline per kilogram, hydrogen boasts a superior energy‐to‐weight ratio compared to fossil fuels. However, its energy‐to‐volume ratio, exemplified by liquid hydrogen's 8.5 MJ.L−1 versus gasoline's 32.6 MJ.L−1, presents a challenge, requiring a larger volume for equivalent energy. In addition, this review employs life cycle assessment (LCA) to evaluate hydrogen's full life cycle, including production, storage, and utilization. Through an examination of LCA methodologies and principles, the review underscores its importance in measuring hydrogen's environmental sustainability and energy consumption. Key findings reveal diverse hydrogen production pathways, such as blue, green, and purple hydrogen, offering a nuanced understanding of their life cycle inventories. The impact assessment of hydrogen production is explored, supported by case studies illustrating environmental implications. Comparative LCA analysis across different pathways provides crucial insights for decision‐making, shaping environmental and sustainability considerations. Ultimately, the review emphasizes LCA's pivotal role in guiding the hydrogen economy toward a low‐carbon future, positioning hydrogen as a versatile energy carrier with significant potential.This article is categorized under: Emerging Technologies > Hydrogen and Fuel Cells

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Power generation with negative CO2 emissions through bio-electricity with CCS using dry co-gasification of coal-biomass blends

Vasireddy,

Jayanti

2024

Clean Techn Environ Policy

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Thermodynamic, environmental analysis and comprehensive evaluation of supercritical water gasification of biomass fermentation residue

Cited by 32 publications

References 56 publications

High Dimensional Model Representation Approach for Prediction and Optimization of the Supercritical Water Gasification System Coupled with Photothermal Energy Storage

High Dimensional Model Representation Approach for Prediction and Optimization of the Supercritical Water Gasification System Coupled with Photothermal Energy Storage

Life cycle assessment of hydrogen production, storage, and utilization toward sustainability

Power generation with negative CO2 emissions through bio-electricity with CCS using dry co-gasification of coal-biomass blends

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