Comprehensive emergy evaluation and optimization of corn straw power generation system: a case study

Wang, Qingsong; Gao, Zhenlei; Yuan, Xueliang; Wang, Juntao; Wang, Mansen

doi:10.1080/10042857.2019.1610652

Cited by 8 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantages of biomass power plants are the following: the reduction of GHG emissions; job creation; strengthening the energy security of Ukraine; the utilization of crop residues; the reduction of fossil fuel consumption; increasing farmers' income. Meanwhile, there are a number of risks [76][77][78] such as significant harvest fluctuations, which may negatively affect the reliability of feedstock supply for electricity generation; increasing biomass feedstock prices; logistics problems. Finding possible solutions is the goal for further research.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Furthermore, not only has the sector undergone great development in the last two decades, but it should also continue its expansion in the coming years, duly reinforced by the energy plans of the great world powers. Wind power generation is an important measure for developing a circular economy and alleviating resource constraints [3].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis, and Prognosis

Santiago,

Barbosa,

Mergulhão

et al. 2024

Energies

View full text Add to dashboard Cite

Wind energy has achieved a leading position among renewable energies. The global installed capacity in 2022 was 906 GW of power, with a growth of 8.4% compared to the same period in the previous year. The forecast is that the barrier of 1,000,000 MW of installed wind capacity in the world will be exceeded in July 2023, according to data from the World Association of Wind Energy. In order to support the expected growth in the wind sector, maintenance strategies for wind turbines must provide the reliability and availability necessary to achieve these goals. The usual maintenance procedures may present difficulties in keeping up with the expansion of this energy source. The objective of this work was to carry out a systematic review of the literature focused on research on the predictive and prescriptive maintenance of wind turbines based on the implementation of data-oriented models with the use of artificial intelligence tools. Deep machine learning models involving the detection, diagnosis, and prognosis of failures in this equipment were addressed.

show abstract

“…Wind energy generation is an important measure to develop a circular economy and to alleviate resource constraints [1]. In contrast to the substantial consumption and environmental pollution brought on by traditional energy sources, wind energy, as a technology for electricity conversion using renewable resources, does not generate pollution during power generation [2].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

Peng

Shangguan

et al. 2023

Sustainability

View full text Add to dashboard Cite

Power generation from wind farms is growing rapidly around the world. In the past decade, wind energy has played an important role in contributing to sustainable development. However, wind turbines are extremely susceptible to component damage under complex environments and over long-term operational cycles, which directly affects their maintenance, reliability, and operating costs. It is crucial to realize efficient early warning of wind turbine failure to avoid equipment breakdown, to prolong the service life of wind turbines, and to maximize the revenue and efficiency of wind power projects. For this purpose, wind turbines are used as the research object. Firstly, this paper outlines the main components and failure mechanisms of wind turbines and analyzes the causes of equipment failure. Secondly, a brief analysis of the cost of wind power projects based on equipment failure is presented. Thirdly, the current key technologies for intelligent operation and maintenance (O&M) in the wind power industry are discussed, and the key research on decision support systems, fault diagnosis models, and life-cycle costs is presented. Finally, current challenges and future development directions are summarized.

show abstract

Comprehensive emergy evaluation and optimization of corn straw power generation system: a case study

Cited by 8 publications

References 31 publications

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

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

Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis, and Prognosis

Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

Contact Info

Product

Resources

About