Published January 2019 | Version v1
Journal article

Insights into the influence of biomass feedstock type, particle size and feeding rate on thermochemical performances of a continuous solar gasification reactor

  • 1. Department of Mechanical Engineering, King Mongkut's Institute of Technology Ladkrabang, Prince of Chumphon Campus, Chumphon 86160 (Thailand)
  • 2. Processes, Materials and Solar Energy Laboratory, PROMES-CNRS, 7 Rue du Four Solaire, 66120 Font-Romeu (France)
  • 3. CEA-LITEN Laboratoire des Systèmes Solaires Haute Température (LSHT), F-38054 Grenoble (France)
  • 4. Univ. Grenoble Alpes, INES, BP 332, 50 Avenue du Lac Léman, F-73375 Le-Bourget-du-lac (France)

Description

The solar-driven steam gasification of different lignocellulosic biomass feedstocks was experimentally investigated with a 1.5 kWth continuously particle-fed solar reactor at high temperature using real high-flux solar radiation provided by a parabolic dish concentrator. Experiments were carried out with five carbonaceous materials under different biomass feeding rates in the range of 0.8–2.7 g/min at 1300 °C in order to optimize the synthesis gas production and composition. Increasing biomass feeding rate (at constant slightly over-stoichiometric steam/biomass ratio) noticeably promoted the syngas yields that reached up to 83.2 mmol/gbiomass. The syngas yield (especially H2) was more affected by the biomass feedstock (chemical composition) than by the particle size in the considered range (0.3–4 mm). The calorific value of the biomass was solar upgraded up to 24% through the syngas produced with a carbon conversion above 90%, thereby accomplishing efficient solar energy storage into the produced syngas. Increasing the biomass feeding rate inherently shortened the solar processing duration (for a given biomass amount). Thus, the solar energy input and the heat losses were reduced while the overall syngas production capacity was increased, which in turn drastically enhanced both the thermochemical reactor efficiency and the solar-to-fuel energy conversion efficiency with maximum values typically beyond 25%.

Additional details

Identifiers

DOI
10.1016/j.renene.2018.06.065;
PII
S0960148118307171;

Publishing Information

Journal Title
Renewable Energy
Journal Volume
130
Journal Page Range
p. 360-370
ISSN
0960-1481
CODEN
RNENE3

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.