Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm

Topić, Danijel; Barukčić, Marinko; Mandžukić, Dražen; Mezei, Cecília

doi:10.3390/en13071610

Cited by 5 publications

(3 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This step is performed by DE, a population-based bio-inspired metaheuristic that showed a good capability to solve various problems from different areas. For example, in simple or different combinations, it was applied for: the prediction of polycyclic aromatic hydrocarbons formation in grilled meats [29] prediction of reactive extraction of pseudomonic acids [23], modeling the biogas production from anaerobic wastewater treatment plant [30], and optimization of biogas power plant feedstock [31].…”

Section: Artificial Neural Network and Differential Evolutionmentioning

confidence: 99%

Gallic Acid Reactive Extraction with and without 1-Octanol as Phase Modifier: Experimental and Modeling

et al. 2022

View full text Add to dashboard Cite

Gallic acid (GA) is a naturally occurring phenolic acid that can be found in the leaves, roots, flowers, or stems of a wide variety of plant species. It has a broad range of uses in the food and pharmaceutical industries. The objective of this research is to investigate the GA reactive extraction process employing dichloromethane and n-heptane as solvents, 1-octanol as a phase-modifier, and Amberlite LA-2 as an amine extractant dissolved in the organic phase. The separation yield and distribution coefficient data were discussed, along with the analysis of the extraction conditions and the extraction mechanism. Dichloromethane employed as the solvent, 80 g/L Amberlite LA2 used as the extractant, and 10% phase modifier were determined to be the ideal conditions for the reactive extraction onto a biphasic organic-aqueous system. Statistical regression and artificial neural networks (ANNs) established with the differential evolution (DE) algorithm were also used to model and optimize the process.

show abstract

Section: Artificial Neural Network and Differential Evolutionmentioning

confidence: 99%

Gallic Acid Reactive Extraction with and without 1-Octanol as Phase Modifier: Experimental and Modeling

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The latest economic and energetic evaluation of using maize silage (with a purchase price of 54 EUR/t) in anaerobic digestion showed that a transportation distance of up to 18 km is convenient to ensure feasible biogas plant operation in Italy [70]. In the Croatian case, the latest price of maize silage of 34 EUR/t determined that a transportation distance between 24 and 38 km is still feasible for those biogas plants operating under the feed-in tariff [71]. This study revealed that locally available residue material, such as grass, with no actual cost of materials (except harvesting and transport, which are in total estimated at ca.…”

Section: Lignocellulosic Biomass From Landscape Managementmentioning

confidence: 99%

Geospatial Analysis and Environmental Impact Assessment of a Holistic and Interdisciplinary Approach to the Biogas Sector

et al. 2021

View full text Add to dashboard Cite

Crop-based biogas energy production, in combination with electricity generation under subsidy schemes, is no longer considered a favourable business model for biogas plants. Switching to low-cost or gate fee feedstocks and utilising biogas via alternative pathways could contribute to making existing plants fit for future operations and could open up new space for further expansion of the biogas sector. The aim of this study was to combine a holistic and interdisciplinary approach for both the biogas production side and the utilisation side to evaluate the impact of integrating the biogas sector with waste management systems and energy systems operating with a high share of renewable energy sources. The geospatial availability of residue materials from agriculture, industry and municipalities was assessed using QGIS software for the case of Northern Croatia with the goal of replacing maize silage in the operation of existing biogas plants. Furthermore, the analysis included positioning new biogas plants, which would produce renewable gas. The overall approach was evaluated through life cycle assessment using SimaPro software to quantify the environmental benefits and identify the bottlenecks of the implemented actions. The results showed that the given feedstocks could replace 212 GWh of biogas from maize silage in the relevant region and create an additional 191 GWh of biomethane in new plants. The LCA revealed that the proposed measures would contribute to the decarbonisation of natural gas by creating environmental benefits that are 36 times greater compared to a business-as-usual concept. The presented approach could be of interest to stakeholders in the biogas sector anywhere in the world to encourage further integration of biogas technologies into energy and environmental transitions.

show abstract

“…Different assessments can be considered to emphasize the feasibility of CR biogas projects, such as choosing the proper biogas system [50], the substances used for biogas production [51,52], the size of the biogas plant [43], and the obtained digestate [53]. A large-scale biogas plant operates on the feedstock of crop waste [54]. Typically, the biogas is distributed by pipelines to households from the central biogas tank.…”

Section: The Cr Biogas Projectmentioning

confidence: 99%

Techno-Economic Assessment of Three Modes of Large-Scale Crop Residue Utilization Projects in China

Meng

Alengebawy

et al. 2020

Energies

View full text Add to dashboard Cite

In China, the non-exploitation of bioenergy poses major problems and challenges. To solve bioenergy problems, considerable efforts have been made to expedite the construction of large-scale crop residue utilization projects. In this study, three principal supported modes of large-scale crop residue utilization projects were taken as empirical cases in Hubei province bioenergy planning. In terms of the overall benefit and sustainable development, a third-grade evaluation index system was established. The analysis was carried out using the analytical hierarchy process, principal component projection, and grey relational analysis. The conclusion indicates that according to the evaluation values, the sequence from best to worst was crop residue biogas project, crop residue briquette fuel project, and crop residue gasification project. Nevertheless, there was no remarkable difference in the overall evaluation values. The biogas project had certain advantages in terms of the production cost, soil improvement, and expenditure saving, whereas the gasification project was comparatively insufficient in environmental efficiency, product benefit, by-product disposal, and technical rationality. According to actual evaluation results, the unilateral determination approach of the single weight index can be seen as being overcome through the unified adaptation of the evaluation methods. The research results can serve as a reference for making investment decisions to build large-scale crop residue utilization projects.

show abstract

Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm

Cited by 5 publications

References 40 publications

Gallic Acid Reactive Extraction with and without 1-Octanol as Phase Modifier: Experimental and Modeling

Gallic Acid Reactive Extraction with and without 1-Octanol as Phase Modifier: Experimental and Modeling

Geospatial Analysis and Environmental Impact Assessment of a Holistic and Interdisciplinary Approach to the Biogas Sector

Techno-Economic Assessment of Three Modes of Large-Scale Crop Residue Utilization Projects in China

Contact Info

Product

Resources

About