Multi-criteria optimization for a biomass gasification-integrated combined cooling, heating, and power system based on life-cycle assessment

Li, C.Y.; Wu, J.Y.; Chavasint, C.; Sampattagul, Sate; Kiatsiriroat, Tanongkiat; Wang, R.Z.

doi:10.1016/j.enconman.2018.10.043

Cited by 50 publications

(9 citation statements)

References 48 publications

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“…In another approach, Li et al [107] performed a multi-criteria optimization model (TOPSIS) based on LCA for a biomass gasification-integrated combined cooling, heating, and power system to study the overall performance criterion, the primary energy saving ratio, the total cost saving ratio, and the CO 2 emission reduction ratio. It is concluded that the system fueled by biomass greatly differs from that fueled by fossil fuels in energetic, economic, and environmental aspects.…”

Section: Discussionmentioning

confidence: 99%

A Scoping Review on Environmental, Economic, and Social Impacts of the Gasification Processes

Barahmand

Eikeland

2022

Environments

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In recent years, computer-based simulations have been used to enhance production processes, and sustainable industrial strategies are increasingly being considered in the manufacturing industry. In order to evaluate the performance of a gasification process, the Life Cycle Thinking (LCT) technique gathers relevant impact assessment tools to offer quantitative indications across different domains. Following the PRISMA guidelines, the present paper undertakes a scoping review of gasification processes’ environmental, economic, and social impacts to reveal how LCT approaches coping with sustainability. This report categorizes the examined studies on the gasification process (from 2017 to 2022) through the lens of LCT, discussing the challenges and opportunities. These studies have investigated a variety of biomass feedstock, assessment strategies and tools, geographical span, bioproducts, and databases. The results show that among LCT approaches, by far, the highest interest belonged to life cycle assessment (LCA), followed by life cycle cost (LCC). Only a few studies have addressed exergetic life cycle assessment (ELCA), life cycle energy assessment (LCEA), social impact assessment (SIA), consequential life cycle assessment (CLCA), and water footprint (WLCA). SimaPro® (PRé Consultants, Netherlands), GaBi® (sphere, USA), and OpenLCA (GreenDelta, Germany) demonstrated the greatest contribution. Uncertainty analysis (Monte Carlo approach and sensitivity analysis) was conducted in almost half of the investigations. Most importantly, the results confirm that it is challenging or impossible to compare the environmental impacts of the gasification process with other alternatives since the results may differ based on the methodology, criteria, or presumptions. While gasification performed well in mitigating negative environmental consequences, it is not always the greatest solution compared to other technologies.

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Section: Discussionmentioning

confidence: 99%

A Scoping Review on Environmental, Economic, and Social Impacts of the Gasification Processes

Barahmand

Eikeland

2022

Environments

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“…(2-5, 8 and 9) are solved to predict the values of n, f1, f2, f3, f4 and f5, at the given Tgasification and MC. The value of ϕ is then calculated from the value of n by following the work of Li et al [14].…”

Section: Equilibrium Modelmentioning

confidence: 99%

Performance Optimization of the Gasification Process by using Equilibrium Model and Dragonfly Algorithm

Singh¹,

Das²

2021

Proceedings of the 2nd International Conference on Advances in Energy Research and Applications (ICAERA'21)

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The prediction of the working parameters is of importance for the optimum performance of the biomass gasification process. The gasification temperature, the initial moisture content of the biomass and the equivalence ratio are some of the main input parameters which decide the syngas composition and hence the gasification efficiency. Here, a modified equilibrium model based on a single global gasification reaction with equilibrium constants directly obtained from the available empirical relations is used to predict the syngas composition and the equivalence ratio at different values of moisture content and gasification temperature for two different biomasses (rubber wood and saw dust). The present model is relatively simpler than the available ones and is validated against both experimental and numerical data available for rubber wood and saw dust. Thereafter, the present modified model is used to study the variation in syngas composition, equivalence ratio, lower heating value of syngas and coldgas efficiency for different input values of gasification temperature and moisture content. Subsequently, an optimization problem is formulated by taking the ratio of equivalence ratio to the lower heating value of syngas as the objective function. The dragonfly algorithm is used for the optimization of the gasification problem. The maximum possible efficiency is calculated by varying the moisture content in the range of 5% to 25%, for different gasification temperatures varying in the range 800 o C to 1000 o C. The optimization results show that the maximum possible efficiency for rubber wood is 79.85% for 0.374 equivalence ratio and the same for saw dust is 85.00% for 0.302 equivalence ratio corresponding to the lowest gasification temperature and moisture content.

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“…Researchers tend to consider low-capacity power units [21,22], working with internal combustion engines [23,24], microturbines [25], fuel cells [26], or gas burners [27]. Analysis of the life cycle of bioenergy units, even for small capacities, shows their high environmental efficiency compared to the units using fossil fuels [28,29]. Gasification efficiency in typical small-scale processes (fixed bed and fluidized bed) is about 50-70%.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Fuel and Steam Consumption on Characteristics of Fixed Bed Process of Woody Biomass Steam Gasification with Intensive Heat Supply

Donskoy

2021

Energy Systems Research

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Plant biomass is one of the most widespread renewable energy sources. Energy utilization of biomass allows solving some problems associated with the development of off-grid energy systems and the processing of combustible waste (primarily agricultural and forestry waste). This paper is devoted to the study of an allothermal gasification process of plant biomass materials using a kinetic-thermodynamic model developed by the author. The gasification process is considered stationary, and steam is used as a gasification agent. The power of the supplied heat is considered constant (10 kW). One of the significant tasks related to allothermal gasification is to choose flowrate parameters so that the heat supplied is efficiently used in chemical reactions without the threat of reactor overheating. The determination of the boundaries of the safe gasifier operation involved variant calculations with a view to optimizing the gasification conditions. The calculation results show that the allothermal gasification process can proceed with a thermochemical efficiency of about 70%. For each fixed fuel consumption level, there is an optimal fuel-steam ratio. The complete conversion of biomass requires sufficiently high temperatures. The produced gas contains a significant steam fraction (>50 vol%) even under optimal conditions. The calculated fraction of hydrogen in dry gas is up to 60vol%. The data obtained can be used to assess the efficiency of energy units with biomass gasification using high-temperature sources, for example, in systems that use and store solar thermal energy.

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Multi-criteria optimization for a biomass gasification-integrated combined cooling, heating, and power system based on life-cycle assessment

Cited by 50 publications

References 48 publications

A Scoping Review on Environmental, Economic, and Social Impacts of the Gasification Processes

A Scoping Review on Environmental, Economic, and Social Impacts of the Gasification Processes

Performance Optimization of the Gasification Process by using Equilibrium Model and Dragonfly Algorithm

The Influence of Fuel and Steam Consumption on Characteristics of Fixed Bed Process of Woody Biomass Steam Gasification with Intensive Heat Supply

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