95 documents found, page 1 of 10
Conductive materials change the composition and activity of butyrate-degrading ...
Braga, Cátia Sofia Neves; Costa, João Carlos Sequeira; Duarte, Maria Salomé; Martins, Gilberto; Pereira, Inês A. C.; Pereira, Luciana; Alves, M. M.Conductive materials (CM) can improve methane production (MP) efficiency in many methanogenic systems. However, several types of CM exist, and there are uncertainties regarding whether they all improve MP efficiency to the same extent and modulate microbial communities in a similar way. To investigate that, different microbial enrichments with and without activated carbon (AC), magnetite (Mag), and zeolites (Ze...
Microbial activity of the inoculum determines the impact of activated carbon, m...
Braga, Cátia Sofia Neves; Martins, Gilberto; Duarte, Maria Salomé Lira; Soares, O. Salomé G. P.; Pereira, M. Fernando R.; Pereira, Inês A. C.The conversion of organic matter to methane through anaerobic digestion (AD) process can be enhanced by different materials. However, literature reports show inconsistent results on the effect of materials in different AD systems. In this study, we evaluated the influence of the inoculum's activity on methane production (MP) efficiency in the presence of different materials (activated carbon (AC), magnetite (Ma...
Boosting methane production: the effect of sand, activated carbon, and nano zer...
Braga, Cátia Sofia Neves; Hoffmann, Nicolás; Pereira, Luciana; Salvador, Andreia Filipa Ferreira; Duarte, Maria Salomé Lira; Martins, GilbertoIntroduction: Methane production (MP) efficiency depends on the nature of the waste and the activity of hydrolytic, acidogenic, acetogenic and methanogenic microorganisms. Materials, like activated carbon (AC), are widely recognized for boosting MP from different types of waste. In contrast, more sustainable materials, like sand, received less attention. To better understand the effect of different materials on...
Plant-microbial fuel cells: a promising technology for energy transition
Rodrigues, A. C.; Dias, Gabriela; Peixoto, Virgílio; Martins, Gilberto; Peixoto, L.Plant-Microbial Fuel Cells (PMFCs) emerge as an innovative solution in the realm of renewable energy, with the potential to address global challenges associated with energy transition and decarbonization of the energy sector. This technology relies on the generation of electricity from the symbiotic interaction between plants and soil microorganisms, harnessing the surplus of organic compounds released by plant...
Incdualpathnet: a hybrid architecture proposal for predicting energy production...
Oliveira, Pedro José Costa de; Marcondes, Francisco Supino; Duarte, Maria Salomé Lira; Durães, Dalila; Gonçalves, Cristina Isabel BatistaIn recent years, we have seen a growing need for energy, which has had environmental consequences through the use of fossil fuels. Some of the sectors of our society make intensive use of energy, as is the case with wastewater treatment plants (WWTPs). Through anaerobic digestion, these infrastructures can produce energy, therefore improve energy efficiency and decrease the environmental footprint. This study a...
Stimulating volatile fatty acid production in anaerobic digestion: Bacterial co...
Hoffmann, Nicolás; Ciudad, Gustavo; Fincheira, Paola; Rodriguez, Rodrigo; Vergara, Christian; Tortella, Gonzalo; Durán, Paola; Braga, Cátia Sofia NevesThe production of volatile fatty acids (VFA) through anaerobic digestion has gained significant attention due to its potential benefits for renewable energy, biofuel production, waste valorization, bioproduct synthesis, and wastewater treatment. Nano-zero valent iron (nZVI) and magnetite nanoparticles (FeO-NPs) have been identified as effective nanomaterials for enhancing methane production, although their appl...
Challenging the conductive paradigm: The unexpected role of sand in anaerobic d...
Hoffmann, Nicolás; Braga, Cátia Sofia Neves; Rubilar, Olga; Ciudad, Gustavo; Tortella, Gonzalo; Hermosilla, Edward; Duarte, Maria SaloméThe application of conductive materials (CM) has emerged as a strategy to enhance methane production (MP) in anaerobic digestion (AD) systems. This study highlights the potential of sand as an alternative to CM for biomethane production during AD, utilizing complex microbial communities and pure cultures of methanogens. Sand (non-CM) was compared with activated carbon (AC) and nano-zero valent iron (nZVI), both...
Iron nanoparticles application for increasing volatile fatty acid production vi...
Hoffmann, N.; Vergara, Ch.; Ciudad, G.; Tortella, G.; Martins, Gilberto; Rubilar, O.The volatile fatty acid production through transformed organic wastes has been researched since it can be used as a building block for organic compound synthesis. Adding nanomaterials into the reactors helps to boost the acidification stage by strongly degrading biomass through direct or indirect interspecies electron transfer mechanisms. This work aims to show the increase in VFA production by applying zero-va...
Assessment of LSTM and GRU models to predict the electricity production from bi...
Oliveira, Pedro; Marcondes, Francisco Supino; Duarte, Maria Salomé Lira; Durães, Dalila; Martins, Gilberto; Novais, PauloOver the decades, we have faced escalating global energy consumption and its consequential environmental impacts, including climate change and pollution. This study explicitly evaluates the use of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for predicting electricity production from the biogas produced in a Wastewater Treatment Plant (WWTP) in Portugal. WWTPs play an essential role regar...
New decision support system for biogas and electricity forecast in wastewater t...
Martins, Gilberto; Duarte, Maria Salomé Lira; Oliveira, P.; Dias, A.; Marcondes, Francisco Supino; Pereira, M. A.; Novais, PauloAnaerobic digestion processes are often implemented by wastewater treatment plants (WWTPs) to stabilize and decrease the organic content of primary and secondary sludges. Additionally, this process allows to increase the energetic efficiency of WWTPs. Data from a digestor of a WWTP from the North of Portugal was used to study and design two machine learning models, LSTM-based and GRU-based, to predict energy pr...