How to maximise the value of residual biomass resources: The case of straw in Denmark

Venturini, Giada; Alonso, Amalia Rosa Pizarro; Münster, Marie

doi:10.1016/j.apenergy.2019.04.166

Cited by 63 publications

(36 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These models provide a technology rich analysis platform that driven by assumptions such as the costs and performance of energy generation and infrastructure will produce energy supply options for achieving end-point targets. This approach of recommending energy systems based on an optimisation approach has been widely applied in bioenergy research to evaluate scenarios for how bioenergy may be used within different areas of the energy sector [32]; the limits of bioenergy within different geographies based on varying sustainability constraints [33]; demonstrating how bioenergy may be used in complement to other renewable technologies as energy systems transitions towards low carbon energy mixes [34]; and increasingly how to best use and maximise the value of available biomass resource [35].…”

Section: Partial Equilibrium (Pe) Modelling and The Relationship With Bmentioning

confidence: 99%

A review of the role of bioenergy modelling in renewable energy research & policy development

Welfle

Thornley

Röder

2020

Biomass and Bioenergy

View full text Add to dashboard Cite

Transition towards renewable low carbon energy is a fundamental element of climate change mitigation, energy from biomass technologies are targeted within many country's decarbonisation strategies. Decision makers globally face many challenges developing strategies to drive this transition; models are increasingly used to road-test policy interventions before their implemented. A Bioenergy Literature Database was developed of 124,285 papers published 2000-2018. These document an exponential rise in research focusing on biomass and bioenergy. On average 35.4% of papers apply modelling analyses, 99.5% of these use bespoke models rather than high profile Integrated Assessment Models (IAMs) or Energy System Modelsalthough it is these high profile models that are widely used in policy development. A review of the role of bioenergy within energy models is undertaken with a key objective of critiquing their performances in analysing bioenergy research questions. IAMs are found to be widely applied to investigate the impact of bioenergy within wider energy and environmental systems, e.g. for reducing emissions. Energy System Models focus on bioenergy processes, technologies and feedstocks, although don't capture wider environmental, economic and social themes. Specialist Bioenergy Models offer methods for bespoke analyses of all bioenergy issues, their narrow system boundaries generate targeted outputs but wider effects such as land-use change may not be captured. Caution is required when interpreting modelling outputs, particularly when used to inform policy. It's not feasible to develop all-encompassing bioenergy models covering all nuances between systems, but there is strong argument for using multiple models in parallel to build robust overall conclusions.

show abstract

Section: Partial Equilibrium (Pe) Modelling and The Relationship With Bmentioning

confidence: 99%

A review of the role of bioenergy modelling in renewable energy research & policy development

Welfle

Thornley

Röder

2020

Biomass and Bioenergy

View full text Add to dashboard Cite

show abstract

“…In the research [9] it has been shown that straw can be an available fuel for generator gas production in the EU countries. The energetic independence of agricultural production can be achieved by using straw pellets for generator gas production [10].…”

Section: Introductionmentioning

confidence: 99%

Investigational study of environmental performance of power generator operating on generator gas

Kukharets¹,

Sukmaniuk²,

Yarosh³

et al. 2021

Engineering for Rural Development

View full text Add to dashboard Cite

The analysis of scientific investigations makes it possible to make a conclusion about the usefulness of the generator gas as a fuel for internal combustion engines of mobile power generators. Under the conditions of agricultural production and in rural areas, the generator gas can be generated from biomass (wood, straw, corn stalks and other plant refuse). The paper recommends to use a gasifier of the reverse process for gas generation. The side of the recovery zone of the gasifier is 200 mm long, and the recovery zone is -70 mm high. The number of tuyere holes is 20, the diameter of the tuyere holes is 10 mm. The research was conducted in order to determine the effects of the produced generating capacity on generator gas and air consumption, as well as on emissions of greenhouse gases (CxHу and CО). The paper shows the nature of the effects of the produced generating capacity on generator gas and air consumption by the engine of a mobile power generator. As follows from the investigation, under the generating capacity, which corresponds to nominal electric generator charge, under the use of generator gas generated from wood CO emission is up to 25 times less, and CxHу emission is up to 9 times less as compared to gasoline fuel. While using the generator gas generated from straw, CO emission is up to 25 times less, and CxHу emission is up to 4 times less as compared to gasoline fuel. The paper also shows the results of the investigation as to the impact of the engine exhaust supply of a power generator engine into the combustion area of a gas generator on the power generator schedule, as well as on the dynamic pattern of the generated effective power.

show abstract

“…Straw is beneficial if used, but it is harmful if it is discarded [9]. With the development of renewable energy technology, biotechnology, circular agriculture, and environmental science, the value of crop straw as a renewable energy source has gradually been increasing and become widely accepted [10], which can be used as bio-fertilizer, feed, raw materials, fuels, and base materials. Therefore, studying the quantity and spatial distribution of straw resources in China and promoting the comprehensive utilization of straw resources are necessary for promoting rural building and sustainable agricultural development in China [11].…”

Section: Introductionmentioning

confidence: 99%

Response of Different Band Combinations in Gaofen-6 WFV for Estimating of Regional Maize Straw Resources Based on Random Forest Classification

Mou

Zhou

et al. 2021

Sustainability

View full text Add to dashboard Cite

Maize straw is a valuable renewable energy source. The rapid and accurate determination of its yield and spatial distribution can promote improved utilization. At present, traditional straw estimation methods primarily rely on statistical analysis that may be inaccurate. In this study, the Gaofen 6 (GF-6) satellite, which combines high resolution and wide field of view (WFV) imaging characteristics, was used as the information source, and the quantity of maize straw resources and spatial distribution characteristics in Qihe County were analyzed. According to the phenological characteristics of the study area, seven classification classes were determined, including maize, buildings, woodlands, wastelands, water, roads, and other crops, to explore the influence of sample separation and test the responsiveness to different land cover types with different waveband combinations. Two supervised classification methods, support vector machine (SVM) and random forest (RF), were used to classify the study area, and the influence of the newly added band of GF-6 WFV on the classification accuracy of the study area was analyzed. Furthermore, combined with field surveys and agricultural census data, a method for estimating the quantity of maize straw and analyzing the spatial distribution based on a single-temporal remote sensing image and random forests was proposed. Finally, the accuracy of the measurement results is evaluated at the county level. The results showed that the RF model made better use of the newly added bands of GF-6 WFV and improved the accuracy of classification, compared with the SVM model; the two red-edge bands improved the accuracy of crop classification and recognition; the purple and yellow bands identified non-vegetation more effectively than vegetation, thus minimizing the “salt-and-pepper noise” of classification results. However, the changes to total classification accuracy were not obvious; the theoretical quantity of maize straw in Qihe County in 2018 was 586.08 kt, which reflects an error of only 2.42% compared to the statistical result. Hence, the RF model based on single-temporal GF-6 WFV can effectively estimate regional maize straw yield and spatial distribution, which lays a theoretical foundation for straw recycling.

show abstract

How to maximise the value of residual biomass resources: The case of straw in Denmark

Cited by 63 publications

References 70 publications

A review of the role of bioenergy modelling in renewable energy research & policy development

A review of the role of bioenergy modelling in renewable energy research & policy development

Investigational study of environmental performance of power generator operating on generator gas

Response of Different Band Combinations in Gaofen-6 WFV for Estimating of Regional Maize Straw Resources Based on Random Forest Classification

Contact Info

Product

Resources

About