Potential bioethanol production from sweet sorghum on marginal land in China

Jiang, Dong; Hao, Mengmeng; Fu, Jingying; Liu, Kun; Yan, Xiaoxi

doi:10.1016/j.jclepro.2019.01.294

Cited by 53 publications

(35 citation statements)

References 26 publications

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“…The definition of marginal land in this study is unused land including tidal-flat land, sand land, saline-alkali soil land, swampland, bare land, etc., while the marginal land used in the research by Jiang et al is greater, and is defined as wasteland including land under consideration, natural grassland, sparse forestland, scrubland, and unused land. This is the primary reason why the final bioethanol production as determined by Jiang et al (2019) is greater than that in this research. (c) Different limitations were considered.…”

Section: Comparison With Other Studiesmentioning

confidence: 60%

“…Under strict environmental constraints, our results find that the final bioethanol production of the energy crop on marginal land is 0.04 EJ (approximately 1.49 million tonnes of bioethanol) in the sustainable scenario, while Jiang et al (2019) determined this value to be approximately 0.115 EJ. In ideal environmental conditions, our results indicate that the energy equivalent of sweet sorghum for bioethanol production is 15.44 EJ, and the final bioethanol production on marginal land is 0.96 EJ (approximately 35.76 million tonnes of bioethanol).…”

Section: Comparison With Other Studiesmentioning

confidence: 79%

“…Second, the sweet sorghum yield is simulated under both rainfed and fully irrigated conditions, and under the constraints of soil, temperature, slope, precipitation, and management habits. In this research, the rainfed yield per hectare of sweet sorghum in the sustainable scenario is derived from Jiang et al () with a crop growth model called the GEPIC model. The fully irrigated yield per hectare of sweet sorghum in the optimal environmental conditions scenario is modeled by a newly developed Food and Agriculture Organization growth model called the AquaCrop model.…”

Section: Methodsmentioning

confidence: 99%

“…In this research, the energy crop simulation consists of two parts: the marginal land definition and yield per hectare simulation (Jiang et al, 2019;Nie et al, 2019). First, a multifactor integrated assessment (Lu, Jiang, Zhuang, & Huang, 2012) has been used to assess the land suitability for the planting of sweet sorghum on the marginal land.…”

Section: Energy Crop Simulationmentioning

confidence: 99%

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Spatial distribution of usable biomass feedstock and technical bioenergy potential in China

et al. 2019

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Bioenergy will play an intimate and critical role in energy supply and carbon mitigation in the future. In recent years, “customizing the development of bioenergy to local conditions” and “prioritizing distributed utilization” have been the two key principles that have been released by the Chinese government to promote the national‐ and provincial‐level development of bioenergy. While many recognize the importance of bioenergy in achieving low‐carbon transition, little is known about the high‐resolution distribution of usable biomass feedstock and technical bioenergy potential in China, which brings about uncertainties and additional challenges for creating localized utilization plans. We propose a new assessment framework that integrates crop growth models, a land suitability assessment, and the geographic information systems to address these knowledge gaps. Distributions of 11 types of usable biomass feedstock and three kinds of technical bioenergy potential are mapped out through specific transformation technologies at 1 km resolution. At the national level, the final technical biogas potential is 1.91 EJ. The technical bioethanol potential (0.04–0.96 EJ) from the energy crop can supply 0.13–3.12 times the bioethanol demand for the consumption of E10 gasoline in 2015. The technical heat potential (1.06 EJ) can meet 20% of the demand for heating in all provinces (5.38 EJ). Most of the 2020 bioenergy goals can be achieved, excluding that for bioethanol, which will need to require more cellulosic ethanol from residues. At the provincial level, Henan and Inner Mongolia have the potential to develop clean heating alternatives via the substitution of agroforestry residues for coal. The results can provide a systematic analysis of the distribution of biomass feedstocks and technical bioenergy potential in China. With economic factors taken into consideration in further research, it can also support national and provincial governments in making bioenergy development plans in an effective and timely manner.

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Section: Comparison With Other Studiesmentioning

confidence: 60%

Section: Comparison With Other Studiesmentioning

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Energy Crop Simulationmentioning

confidence: 99%

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Spatial distribution of usable biomass feedstock and technical bioenergy potential in China

et al. 2019

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“…Sweet sorghum is a type of sugar crop, harvested after 3 months, with highly efficient photosynthesis. It also holds considerable versatility, such as absorbing heavy metal from contaminated land or remedying arable land while simultaneously producing cost-effective bioethanol [9][10][11]. However, the spongy and medullary structure causes much higher Saccharomyces cerevisiae TSH-1 frozen with glycerol was used in this study [24].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Continuous Solid-State Distillation Process for Cost-Effective Bioethanol Production

2020

Energies

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To improve the efficiency of bioethanol production, an advanced process was required to extract ethanol from solid-state fermented feedstock. With regard to the characteristics of no fluidity of solid biomass, a continuous solid-state distillation (CSSD) column was designed with a proprietary rotary baffle structure and discharging system. To optimize the operation condition, fermented sweet sorghum bagasse was prepared as feedstock for a batch distillation experiment. The whole distillation time was divided into heating and extracting period which was influenced by loading height and steam flow rate simultaneously. A total of 16 experiments at four loading height and four steam flow rate levels were conducted, respectively. Referring to packing, rectifying column, mass, and heat transfer models of the solid-state distillation heating process were established on the basis of analyzing the size distribution of sweet sorghum bagasse. The specific heat capacity and thermal conductivity value of fermented sweet sorghum bagasse were tested and served to calculate the ethanol yielding point and concentration distribution in the packing. The extracting process is described as the ethanol desorption from porous media absorbent and the pseudo-first-order desorption dynamic model was verified by an experiment. Benefit (profit/time) was applied as objective function and solved by successive quadratic programming. The optimal solution of 398 mm loading height and 8.47 m3/h steam flow rate were obtained to guide a 4 m in diameter column design. One heating and two extracting trays with 400 mm effective height were stacked up in an industrial CSSD column. The steam mass flow rate of 0.5 t/h was determined in each tray and further optimized to half the amount on the third tray based on desorption equation.

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Biofuels

2019

The Chemistry of Bio‐based Polymers

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Potential bioethanol production from sweet sorghum on marginal land in China

Cited by 53 publications

References 26 publications

Spatial distribution of usable biomass feedstock and technical bioenergy potential in China

Spatial distribution of usable biomass feedstock and technical bioenergy potential in China

Optimization of Continuous Solid-State Distillation Process for Cost-Effective Bioethanol Production

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