Energy Multiphase Model for Biocoal Conversion Systems by Means of a Nodal Network

Paredes-Sánchez, Beatriz M.; Paredes–Sánchez, José P.; Nieto, P.J. Garcı́a

doi:10.3390/en13112728

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…The growing availability of arable land, as a consequence of the decline of coal mining and the decline in energy crop cultivation (e.g., maize), provides ample opportunities for performing successful feedstock production on unmanaged areas in several regions (Pietrzykowski, 2019;Nurcholis et al, 2021;Paredes-Sánchez et al, 2022). Hybrid land uses that are as coupled as possible must be established, including those that enable biomass production in addition to a GHG sink function.…”

Section: Discussionmentioning

confidence: 99%

Biomass and bioenergy perspectives of a coal region: status quo, potential and scenarios in Lusatia

Leuner,

Hirschl

2024

Front. Energy Res.

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Coal has been one of the main fuels used in Europe. Its decreasing role due to the ongoing transformation of the energy system will create significant socio-economic challenges. The switch into renewable energy systems could be an alternative to maintain jobs and economic activities within the affected regions. Biomass use and bioenergy can play an important role in the energy transition. Instead of energy crops, forest and agricultural residues should be used as biogenic energy sources in the future to avoid impacts on land use and food security. The main objective of this article is to investigate the biomass potential of a coal region and to provide scenarios for the future development of bioenergy production. Due to the changing framework conditions and, as a result, the different biomass focuses, previous bioenergy potential estimates must be reviewed. The methods for determining the potential of biomass for energy production was used for Lusatia (in German: Lausitz), the second largest coal region in Germany. These methods can also be applied in other regions. As a first step, the regional status quo assessment of cultivated areas and yields had decisive relevance for calculating biomass potential ranges. In a second step, the current bioenergy facilities in the region were identified, with a focus on power and heat production. The third step was the estimation of future regional bioenergy use. Therefore, the regional potential was gathered with the generally supra-regional framework conditions. For this purpose, national scenario studies were used, which contain the relevant target values and framework conditions. Two scenarios were developed for future bioenergy estimations: a conservative path based on the current policies and a progressive path, derived from the goal of climate neutrality by 2045. The results show a qualitative comparison among both scenarios and the previously determined potential ranges. Bioenergy can probably contribute to achieving climate neutrality with an increase in wood-fired systems, while agricultural bioenergy potential is likely to decline. In the discussion section, however, the uncertainty of these results is pointed out, as future use of bioenergy will be heavily influenced by the regulatory framework, competition with material use and the influences of climate change.

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Section: Discussionmentioning

confidence: 99%

Biomass and bioenergy perspectives of a coal region: status quo, potential and scenarios in Lusatia

Leuner,

Hirschl

2024

Front. Energy Res.

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“…As it is indigenous and therefore uses resources from the environment in which it is consumed, it is not affected by the volatility of the fossil fuel market and presents societal advantages related to the creation of new economic activities in the environment and the improvement of incomes. Biomass can originate from different sources, including forestry and lumber industry residues, or it can appear in the form of biogas, which is a residual fuel source obtained from processing waste from landfills, sewage treatment plants, or urban/animal waste treatment plants [36].…”

Section: Renewable Sourcesmentioning

confidence: 99%

Analysis of District Heating and Cooling Energy Systems in Spain: Resources, Technology and Management

et al. 2021

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District heating and cooling (DHC) systems play an important role under the new European Union (EU) energy transition strategy. Thermal energy networks are helping to stimulate the development of alternative technologies based on a broad range of renewable energy sources. The present study analysed the current situation of DHC systems in Spain and provides an overview of the challenges and future opportunities that their use will entail. Its objective is to assess thermal energy conversion and management from a holistic perspective, including a study of existing energy infrastructures. The focus of this study lies on Spain given the country’s abundance of natural resources such as renewable energy sources including solar energy, biomass and geothermal energy, among others, as well as its strategic location on the map of the EU. Based on the analysis of the three factors for energy conversion in a district heating system, namely resources, technology, and management, the methodology provided an assessment of the different factors involved in running a DHC system. The results show an estimated total production for DHC networks of 1448 MWth, of which 72% is supplied purely by renewable energy sources.

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“…Bioenergy management can help reduce a portion of greenhouse gas (GHG) emissions and achieve sustainable goals in energy production systems (Paredes-Sánchez et al 2020 ). Biomass pyrolysis is considered a promising technology for producing hydrogen because it allows for the direct conversion of energy resources from a solid to a gaseous state.…”

Section: Introductionmentioning

confidence: 99%

Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques

Nieto

García–Gonzalo

Paredes-Sánchez

et al. 2023

Environ Sci Pollut Res

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In the context of Industry 4.0, hydrogen gas is becoming more significant to energy feedstocks in the world. The current work researches a novel artificial smart model for characterising hydrogen gas production (HGP) from biomass composition and the pyrolysis process based on an intriguing approach that uses support vector machines (SVMs) in conjunction with the artificial bee colony (ABC) optimiser. The main results are the significance of each physico-chemical parameter on the hydrogen gas production through innovative modelling and the foretelling of the HGP. Additionally, when this novel technique was employed on the observed dataset, a coefficient of determination and correlation coefficient equal to 0.9464 and 0.9751 were reached for the HGP estimate, respectively. The correspondence between observed data and the ABC/SVM-relied approximation showed the suitable effectiveness of this procedure.

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Energy Multiphase Model for Biocoal Conversion Systems by Means of a Nodal Network

Cited by 11 publications

References 42 publications

Biomass and bioenergy perspectives of a coal region: status quo, potential and scenarios in Lusatia

Biomass and bioenergy perspectives of a coal region: status quo, potential and scenarios in Lusatia

Analysis of District Heating and Cooling Energy Systems in Spain: Resources, Technology and Management

Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques

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