Author
D.T. Pio
Bio: D.T. Pio is an academic researcher from University of Aveiro. The author has contributed to research in topics: Producer gas & Biomass. The author has an hindex of 7, co-authored 17 publications receiving 171 citations.
Topics: Producer gas, Biomass, Wood gas generator, Tar, Dry basis
Papers
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TL;DR: In this article, a direct (air) biomass gasification was demonstrated in a pilot-scale bubbling fluidized bed reactor and the influence of process parameters analyzed, and the results showed that the dry gas produced shows the following composition (volumetric basis): 14.0-21.4% CO, 14.2-17.5% CO2, 3.6-5.8% CH4, 1.3-2.4%, C2H4, 2.0−12.7% H2 and 48.1% N2.
71 citations
TL;DR: In this article, the influence of the process operating parameters, namely average bed temperature between 785 and 829 °C, equivalence ratio between 0.21 and 0.36 and refused derived fuel weight percentage in the fuel mixture (0, 10, 20, 50 and 100 ǫ), was analyzed.
67 citations
TL;DR: In this paper, the direct (with air) gasification process of biomass in a bubbling fluidized bed reactor was simulated using Aspen Plus® and the results obtained from the simulation, namely the concentration of CO, CO2, H2, CH4, C2H4 in the producer gas were in good agreement with the experimental ones for a set of biomass types and operating conditions.
55 citations
TL;DR: In this article, three low-cost catalysts were tested: bottom bed ashes resulting from combustion of residual forest biomass derived from eucalyptus, char particles resulting from wood pellets direct (air) gasification, and synthetic fayalite (Fe2SiO4).
30 citations
TL;DR: In this article, the co-combustion of residual forest biomass from eucalyptus and its blend with different amounts of primary and secondary sludge from the pulp and paper industry was studied in a pilot-scale bubbling fluidized bed reactor.
29 citations
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TL;DR: In this article, a novel integrated biomass based multigeneration energy system is presented and investigated for power, cooling and hydrogen production, which consists of a combination of a biomass integrated gasifier-gas turbine cycle, a Rankine cycle, cascade organic Rankine cycles, an absorption refrigeration system and a PEM to produce hydrogen.
93 citations
TL;DR: In this article, a spreadsheet economic model combining net present value (NPV), internal rate of return (IRR) and payback period (PBP) is developed over the plant's lifetime period of 25 years.
89 citations
TL;DR: In this paper, a review of refuse-derived fuel gasification with focus on practices in various countries, recent progress in gasification, gasification modelling and economic analysis is presented.
Abstract: Dwindling fossil fuels and improper waste management are major challenges in the context of increasing population and industrialization, calling for new waste-to-energy sources. For instance, refuse-derived fuels can be produced from transformation of municipal solid waste, which is forecasted to reach 2.6 billion metric tonnes in 2030. Gasification is a thermal-induced chemical reaction that produces gaseous fuel such as hydrogen and syngas. Here, we review refuse-derived fuel gasification with focus on practices in various countries, recent progress in gasification, gasification modelling and economic analysis. We found that some countries that replace coal by refuse-derived fuel reduce CO2 emission by 40%, and decrease the amount municipal solid waste being sent to landfill by more than 50%. The production cost of energy via refuse-derived fuel gasification is estimated at 0.05 USD/kWh. Co-gasification by using two feedstocks appears more beneficial over conventional gasification in terms of minimum tar formation and improved process efficiency.
89 citations
TL;DR: In this article, the authors evaluate the application of biochar for soil amendment within the framework of sustainability and recommendations for the future research and applications of Biochar for treating soil for soil treatment.
78 citations
TL;DR: In this article, an artificial neural network (ANN) model is developed using MATLAB software for gasification process simulation based on extensive data obtained from experimental investigations, which is implemented to predict the producer gas composition from selected biomasses within the operating range.
74 citations