Optimizing sustainable biomass–coal co-firing power plant location problem under ambiguous supply

Chen, A.L.P.; Liu, Yankui

doi:10.1016/j.cie.2023.109401

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…[33][34][35] For example, Duc et al 36 developed a stochastic and fuzzy optimization model for strategic and tactical management decisions of biomass plants in Thailand, exploring the impacts of uncertain demand on optimal strategies. Chen et al 37 determined a co-firing power plant-siting strategy for Heilongjiang Province, China, using a robust fuzzy optimization model taking into account supply price and quality uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Strategic planning and optimal tactical management of regional bioethanol supply‐chain system with high spatial resolution and uncertainties

Wang,

Ji,

Xie

2024

Biofuels Bioprod Bioref

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Although bioethanol is viewed as a promising alternative to traditional fossil fuels, its commercialization is hindered by high production costs and uncertain policies. This study proposes a novel integrated framework to support decision making in the bioethanol supply‐chain system under complex uncertainties. By considering various geographical, economic, and environmental factors, potentially suitable sites are identified using a geographic information systems‐based (GIS‐based) multi‐criteria decision‐making approach. Then, a two‐stage stochastic, fuzzy, chance‐constrained programming model is developed to determine investment decisions (i.e. site and size of biorefineries) and operational strategies (i.e. production schedule, biomass supply network, etc.) in the face of uncertainties. The proposed research framework is tailored for a case study in Henan Province, China, which suggests the installation of six biorefineries with a total capacity of 679.11 million liters to reduce local carbon emissions by 1.54 million tons. Decision makers with different risk preferences can use this method to find optimal tradeoff strategies between system cost and risk under uncertainties. Sensitivity analysis also reveals that increasing the proportion of bioethanol blending targets is the key exogenous variable to promote the use of local biomass resources.

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Section: Introductionmentioning

confidence: 99%

Strategic planning and optimal tactical management of regional bioethanol supply‐chain system with high spatial resolution and uncertainties

Wang,

Ji,

Xie

2024

Biofuels Bioprod Bioref

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“…This approach offers a means for Indonesia to diminish its dependence on coal and transition toward cleaner energy sources, consequently curbing emissions and enhancing sustainability within its energy sector. Nevertheless, co-firing presents challenges as biomass performs less efficiently than coal, as highlighted in recent studies (Chen and Liu 2023;Hariana et al 2023;Shobar et al 2020;Sugiyono et al 2023). Additionally, biomass combustion is challenging to control due to its high moisture content and lower energy density (San Juan et al 2021), resulting in lower energy output than coal.…”

Section: Introductionmentioning

confidence: 99%

Wood Pellet Driven-Biochar Characterization Produced at Different Targeted Pyrolysis Temperatures

Rani,

Yoo,

Park

et al. 2023

J. Sylva Lestari

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The imperative transition to renewable energy drives the need for innovation. Biomass, particularly wood pellets, has demonstrated poor performance in co-firing scenarios. This study employed pyrolysis to convert wood pellets into biochar with improved fuel quality. The biochar production and characterization were investigated at pyrolysis temperatures of 400°C to 500°C. The findings revealed significant improvements: the observed fixed carbon content increased from 67.2% to 78.8%, and the calorific value increased 1.2 times higher within the pyrolysis temperature increased. On the other hand, as the pyrolysis temperature increased from 400°C to 500°C, biochar yields decreased from 49% to 37%. Thermogravimetric (TG) analysis revealed distinct weight loss during heating, illuminating component volatilization and residue accumulation. Furthermore, Fourier transform infrared (FTIR) spectroscopy elucidated structural changes, demonstrating the evolution of cellulose and hemicellulose into aromatic structures. Ultimately, these insights into biochar characteristics informed the optimization of pyrolysis processes, contributing to the production of superior biochar for renewable energy applications. Keywords: biochar, biomass, carbon storage, pyrolysis, wood pellet

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Modeling robust bi-level BCC production planning problem with uncertain carbon emission mechanism

Zhao,

Liu,

Chen

2024

Computers & Chemical Engineering

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Optimizing sustainable biomass–coal co-firing power plant location problem under ambiguous supply

Cited by 4 publications

References 41 publications

Strategic planning and optimal tactical management of regional bioethanol supply‐chain system with high spatial resolution and uncertainties

Strategic planning and optimal tactical management of regional bioethanol supply‐chain system with high spatial resolution and uncertainties

Wood Pellet Driven-Biochar Characterization Produced at Different Targeted Pyrolysis Temperatures

Modeling robust bi-level BCC production planning problem with uncertain carbon emission mechanism

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