An integrated assessment of the potential of agricultural and forestry residues for energy production in <scp>C</scp>hina

Jian, Gao; Zhang, Aiping; Lam, Shu Kee; Zhang, Xuesong; Thomson, Allison M.; Lin, Erda; Jiang, Kejun; Clarke, Leon; Edmonds, James A.; Kyle, Page; Yu, Sha; Zhou, Yuyu; Zhou, Sheng

doi:10.1111/gcbb.12305

Cited by 50 publications

(22 citation statements)

References 31 publications

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“…Among Beijing's renewable energy resources, according to the preliminary surveys [2,22,23], the availability of biomass energy accounts for the highest proportion, which is 39.5%, followed by solar energy (31.9%) and geothermal energy (27%), respectively [23]. Beijing's biomass energy resources are relatively rich, and are mainly distributed in the suburbs and the biomass energy type mainly includes agricultural waste, forestry waste, fecal residue, waste water and household garbage [24].…”

Section: The Resource Basementioning

confidence: 99%

“…Biomass, as an important alternative energy source to conventional fossil fuels, has received major interest in recent years due to the progressive exhaustion of fossil fuels and the continually increasing demand for energy on a global level [1]. Biomass has a high potential to reduce greenhouse gas emissions while minimizing environmental pollution [2]. However, the amount of biomass supplies presents a large degree of uncertainty due to raw material cost fluctuations, variations in biomass seasonality and so forth.…”

Section: Introductionmentioning

confidence: 99%

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Resources and Future Availability of Agricultural Biomass for Energy Use in Beijing

Zhang

Yan

et al. 2019

Energies

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The increasing importance of lignocellulosic biomass based energy production has led to an urgent need to conduct a reliable resource supply assessment. This study analyses and estimates the availability of agricultural residue biomass in Beijing, where biomass energy resources are relatively rich and is mainly distributed in the suburbs. The major types of crops considered across Beijing include food crops (e.g., maize, winter wheat, soybean, tubers and rice), cotton crops and oil-bearing crops (e.g., peanuts). The estimates of crop yields are based on historical data between 1996 and 2017 collected from the Beijing Municipal Bureau of Statistics. The theoretical and collectable amount of agricultural residues was calculated on the basis of the agricultural production for each crop, multiplied by specific parameters collected from the literature. The assessment of current and near future agricultural residues from crop harvesting and processing resources in Beijing was performed by employing three advanced modeling methods: the Time Series Analysis Autoregressive moving average (ARMA) model, Least Squares Linear Regression and Gray System Gray Model (GM) (1,1). The results show that the time series model prediction is suitable for short-term prediction evaluation; the least squares fitting result is more accurate but the factors affecting agricultural waste production need to be considered; the gray system prediction is suitable for trend prediction but the prediction accuracy is low.

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Section: The Resource Basementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resources and Future Availability of Agricultural Biomass for Energy Use in Beijing

Zhang

Yan

et al. 2019

Energies

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“…Most earlier studies were focused on energy potential, conversion technologies, or existing problems (environmental, financial, and political) of bioenergy [10,11]. Gao et al studied the spatial distribution and total biomass potential for energy production in China [12]. Bentsen et al provided estimates of agricultural residue production on a global scale.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Crop Residue for Power Generation: The Case of Ukraine

et al. 2019

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Renewable energy is expected to play a significant role in power generation. The European Union, the USA, China, and others, are striving to limit the use of energy crop for energy production and to increase the use of crop residue both on the field and for energy generation processes. Therefore, crop residue may become a major energy source, with Ukraine following this course. Currently in Ukraine, renewable power generation does not exceed 10% of total electricity production. Despite a highly developed agriculture sector, there are only a small number of biomass power plants which burn crop residues. To identify possibilities for renewable power generation, the quantity of crop residues, their energy potential, and potential electricity generation were appraised. Cluster analysis was used to identify regions with the highest electricity consumption and crop residue energy potential. The major crops (wheat, barley, rapeseed, sunflower, and soybean) were considered in this study. A national production of crop residue for energy production of 48.66 million tons was estimated for 2018. The availability of crop residues was analyzed taking into account the harvest, residue-to-crop ratio, and residue removal rate. The crop residue energy potential of Ukraine has been estimated at 774.46 PJ. Power generation technologies have been analyzed. This study clearly shows that crop residue may generate between 27 and 108 billion kWh of power. We have selected preferable regions for setting up crop residue power plants. The results may be useful for the development of energy policy and helpful for investors in considering power generation projects.

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“…Biomass resources can include agricultural crop residues, forestry residues, animal manure, energy crops, and municipal solid waste [3][4][5][6][7]. In China, it is estimated that each year there are potentially~10,818 PJ of crop residues and~4,701 PJ of forestry residues [8]. The conversion of biomass to energy is undertaken via two pathways: thermochemical and biological methods [9].…”

Section: Introductionmentioning

confidence: 99%

Kinetics of catalytic biomass pyrolysis using Ni-based functional materials

Clough

et al. 2019

Fuel Processing Technology

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The pyrolysis behaviors of three types of biomass (cellulose, sawdust and straw) in three cases (no catalyst, Ni-CaO-Ca 2 SiO 4 and Ni-Ca 2 SiO 4) were investigated by non-isothermal thermogravimetric analysis. The non-isothermal pyrolysis was implemented with four different heating rates: 20, 30, 40 and 50 /min and the yield rates of the produced gases were measured by TG-MS. For kinetic analysis, the activation energy was obtained using four isoconversional analysis methods (Flynn-Wall-Ozawa (FWO) method, Kissinger-Akahira-Sunose (KAS) method, Starink method, and the Miura distributed activation energy model (DAEM)). Ni-CaO-Ca 2 SiO 4 and Ni-Ca 2 SiO 4 was found to intensify the decomposition of biomass to produce more H 2 and CO. The correlation R 2 , of all fitting lines in all cases, was above 0.9 which demonstrated that FWO, KAS, Starink methods and DAEM were suitable for calculating the activation energy of the biomass catalytic pyrolysis. Ni-CaO-Ca 2 SiO 4 showed the obvious catalytic effects in the decrease of activation energy of biomass pyrolysis to produce additional H 2 and CO from the breakage of light organic molecules.

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An integrated assessment of the potential of agricultural and forestry residues for energy production in China

Cited by 50 publications

References 31 publications

Resources and Future Availability of Agricultural Biomass for Energy Use in Beijing

Resources and Future Availability of Agricultural Biomass for Energy Use in Beijing

Utilization of Crop Residue for Power Generation: The Case of Ukraine

Kinetics of catalytic biomass pyrolysis using Ni-based functional materials

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