11 research outputs found
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Localized Preheating Approaches for Reducing Residual Stress in Additive Manufacturing
Uniform preheating can be used to limit residual stress in the solid freeform
fabrication of relatively small parts. However, in additive manufacturing processes,
where a feature is deposited onto a much larger part, uniform preheating of the entire
assembly is typically not practical. This paper considers localized preheating to reduce
residual stresses, building on previous work using a defined thermal gradient through the
part depth as a metric for predicting maximum final residual stress. The building of thinwalled structures is considered. Two types of localized preheating approaches are
compared, appropriate for use in laser- or electron beam-based additive manufacturing
processes. In evaluating the effectiveness of each approach, a simplified
thermomechanical model is used that can be related directly to analytical
thermomechanical models for thermal stresses in unconstrained thin plates. Results are
presented showing that one of the methods yields temperature profiles likely to yield
reduced residual stresses at room temperature. Mechanical model results confirm this,
showing a significant reduction in maximum stress values. A more complete
thermomechanical simulation of thin wall fabrication is used to verify the trends seen in
the simplified model results.Mechanical Engineerin
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Process Scaling and Transient Melt Pool Size Control in Laser-Based Additive Manufacturing Processes
This modeling research considers two issues related to the control of melt pool size in
laser-based additive manufacturing processes. First, the problem of process size scale is
considered, with the goal of applying knowledge developed at one processing size scale (e.g. the
LENSTM process, using a 500 watt laser) to similar processes operating at larger scales (e.g. a 3
kilowatt system under development at South Dakota School of Mines and Technology). The
second problem considered is the transient behavior of melt pool size due to a step change in
laser power or velocity. Its primary application is to dynamic feedback control of melt pool size
by thermal imaging techniques, where model results specify power or velocity changes needed to
rapidly achieve a desired melt pool size. Both of these issues are addressed via a process map
approach developed by the authors and co-workers. This approach collapses results from a large
number of simulations over the full range of practical process variables into plots process
engineers can easily use.This research was supported by the National Science Foundation Division of Design,
Manufacture and Industrial Innovation, through the Materials Processing and Manufacturing
Program, award number DMI-0200270.Mechanical Engineerin
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Transient Changes in Melt Pool Size in Laser Additive Manufacturing Processes
Mechanical Engineerin
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Melt Pool Size and Stress Control for Laser-Based Deposition Near a Free Edge
Thermomechanical models developed in this research address two experimental
observations made during the deposition of thin-walled structures by the LENSTM process. The
first observation (via thermal imaging) is of substantial increases in melt pool size as a vertical
free edge is approached under conditions of constant laser power and velocity. The second
observation (via neutron diffraction) is of large tensile stresses in the vertical direction at vertical
free edges, after deposition is completed and the wall is allowed to cool to room temperature. At
issue is how to best control melt pool size as a free edge is approached and whether such control
will also reduce observed free edge stresses. Thermomechanical model results are presented
which demonstrate that power reduction curves suggested by process maps for melt pool size
under steady-state conditions can be effective in controlling melt pool size as a free edge is
approached. However, to achieve optimal results it is important that power reductions be
initiated before increases in melt pool size are observed. Stress simulations indicate that control
of melt pool size can reduce free-edge stresses; however, the primary cause of these stresses is a
constraint effect which is independent of melt pool size.This research was supported by the National Science Foundation Division of Design,
Manufacture and Industrial Innovation, through the Materials Processing and Manufacturing
Program, award number DMI-0200270.Mechanical Engineerin
Potential of Fermentable Sugar Production from Napier cv. Pakchong 1 Grass Residue as a Substrate to Produce Bioethanol
AbstractBioethanol is one of the most significant renewable fuels. The major sources of bioethanol production are food crops such as corn, sugarcane, rice, wheat and sugar beet. However, utilization of food crops to produce bioethanol could affect the food sources and disrupt the food to population ratio. To overcome these issues, the utilization of lignocellulosic materials such as wheat straw, grass and crop residues to produce bioethanol has been developed for second-generation fuel, since those resources are abundant, cheap and renewable. Napier Pakchong 1 grass (NPG) residue is a lignocellulosic waste obtained from the process of biogas production that can be used as an alternative material for bioethanol production. This research aims to study on the potential of fermentable sugar production from NPG residue. The materials were pretreated with different concentrations of sodium hydroxide (NaOH), followed by enzymatic hydrolysis for saccharification. The results suggested that pretreatment with 3.0% (w/v) NaOH solution at 121ĖC for 60 minutes provided the highest lignin removal of 86.1% (w/w) and enriched cellulose fraction from 36.4 to 75.6% (w/w). The enzymatic hydrolysis was conducted by varying enzyme loading volume and total solid contents (TS) at pH 4.8, 50ĖC for 72h. The hydrolysis with enzyme loading volume of 2.0 ml/g of substrate and 10% (w/v) of TS were optimal for saccharification giving the reducing sugar yield of 768 mg/g of pretreated biomass or equal to 64 g/L and glucose yield of 522 mg/g of pretreated biomass or equal to 43 g/L. The reducing sugar will be used as a starting material for yeast to produce bioethanol
Optimization of hydrothermal conditioning conditions for Pennisetum purpureum x Pennisetum americanum (Napier PakChong1 grass) to produce the press fluid for biogas production
This study focused on the optimization of hydrothermal conditioning conditions for Napier PakChong1 grass to produce press fluid for biogas production. The integrated generation of solid fuel and biogas from biomass (IFBB) process was adopted to separate press fluid from the biomass. Napier PakChong1 grass was hydrothermally pretreated and then mechanically pressed. The press fluid was used for biochemical methane potential (BMP) test while the press cake could be utilized as the solid fuel. The full factorial design of experiment with center points and the Central Composite Design (CCD) were developed to obtain the best possible combination of harvesting time, grass to water ratio, temperature and soaking time for the maximum organic substance (as COD) in press fluid. It was found that the obtained model could satisfactorily predict the mass of COD in press fluid used as the model response. The optimum hydrothermal conditioning conditions were as follows; harvesting time 75 d, ratio of grass to water of 1:6 (by weight), ambient temperature (about 25°C) of the water and the soaking time of 355 min. The mass of COD obtained in these conditions was 226.42 g equating to 71.5% of the value predicted by the model (316.68 g). The microbial kinetic coefficients and biogas yield potential of press fluid at these optimum conditions were properly fitted with the modified Gompertz equation (adjusted R2= 0.995). The methane yield potential (P), the maximum methane production rate (Rm) and lag phase time (Îŧ) were 412.18 mlCH4/gVSadded, 51.47 mlCH4/gVSadded/d and 4.36 days, respectively
āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļāđāļēāļāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāļāļāļāđāļēāļāļāļĩāļ§āļ āļēāļāļāļĩāđāļāļĨāļīāļāļāļēāļāļāļĩāļ§āļĄāļ§āļĨāđāļŦāļĨāļ·āļāđāļāđHydrogen Sulfide Adsorption Capability of Biochar Produced from Residual Biomass
āļāļēāļĢāļ§āļīāļāļąāļĒāļāļĩāđāļĄāļĩāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļ·āđāļāļāļāļŠāļāļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļāđāļēāļāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāđāļ§āļĒāļāđāļēāļāļāļĩāļ§āļ āļēāļ āļāļĢāļ°āļāļāļāļāđāļ§āļĒ āļāđāļēāļāļāļąāļāļāđāļēāļ§āđāļāļāļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļ (C), āļāđāļēāļāļāļąāļāļāđāļēāļ§āđāļāļāļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļāļ āļēāļĒāđāļāđāļāļĢāļĢāļĒāļēāļāļēāļĻāļāđāļēāļ CO2 (CA), āļāđāļēāļāļāļ°āļĨāļēāļĄāļ°āļāļĢāđāļēāļ§āļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļ (CO), āļāđāļēāļāļāļ°āļĨāļēāļĄāļ°āļāļĢāđāļēāļ§āļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļāļ āļēāļĒāđāļāđāļāļĢāļĢāļĒāļēāļāļēāļĻāļāđāļēāļ CO2 (COA), āļāđāļēāļāļāļīāđāļāđāļĄāđāļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļ (B) āđāļĨāļ°āļāđāļēāļāļāļīāđāļāđāļĄāđāļāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļāļ āļēāļĒāđāļāđāļāļĢāļĢāļĒāļēāļāļēāļĻāļāđāļēāļ CO2 (BA) āļāļĩāļ§āļĄāļ§āļĨāļāđāļēāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļāļāļĩāđāļāļļāļāļŦāļ āļđāļĄāļī 500 Âą 10 āļāļāļĻāļēāđāļāļĨāđāļāļĩāļĒāļŠ āļāļđāļāļāļģāđāļāļāļāļŠāļāļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāđāļāļĒāļāđāļāļāļāđāļēāļāļāļĩāļ§āļ āļēāļāļāļĩāđāļāļĨāļīāļāļāļēāļāļāđāļģāđāļŠāļĩāļĒāđāļāļāļēāļāļāļĨāļŠāļđāđāđāļāļĢāļ·āđāļāļāļāļāļīāļāļĢāļāđāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļāļāļĩāđāļāļąāļāļĢāļēāļ āļēāļĢāļ°āļāļĢāļĢāļāļļāļāļāđāļēāļāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđ 4,300 Âą 20 āļāļĢāļąāļĄāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāđāļāļĨāļđāļāļāļēāļĻāļāđāđāļĄāļāļĢ-āļāļąāđāļ§āđāļĄāļ āļāļāļ§āđāļē āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļāđāļēāļāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāļāļāļāđāļēāļ C, CO āđāļĨāļ° B āđāļāđāļēāļāļąāļ 2.33 Âą 0.09, 3.66 Âą 0.63 āđāļĨāļ° 5.56 Âą 0.77 āļāļēāļĄāļĨāļģāļāļąāļāđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļāđāļēāļāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāļāļāļāđāļēāļ CA, COA āđāļĨāļ° BA āđāļāđāļēāļāļąāļ 1.58 Âą 0.90, 1.84 Âą 0.75, 1.26 Âą 0.20 āļāļĢāļąāļĄāđāļŪāđāļāļĢāđāļāļāļāļąāļĨāđāļāļāđāļāđāļāļāļĢāļąāļĄāļ§āļąāļŠāļāļļāļāļđāļāļāļąāļ āļāļēāļĄāļĨāļģāļāļąāļ āļāļąāļāļāļąāđāļāļāļ°āđāļŦāđāļāđāļāđāļ§āđāļēāļāđāļēāļ B āļĄāļĩāļāđāļēāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļŠāļđāļāļāļ§āđāļēāļāđāļēāļ C āđāļĨāļ°āļāđāļēāļ CO āđāļĨāļ°āļāļāļ§āđāļē āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāđāļāļāđāļāđāļāļāļąāļāļ āļēāļĒāđāļāđāļāļĢāļĢāļĒāļēāļāļēāļĻāļāđāļēāļ CO2 āđāļĄāđāļĄāļĩāļāļĨāļāđāļāļāļēāļĢāđāļāļīāđāļĄāļāđāļēāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļđāļāļāļąāļāļāļĩāļāļāļąāđāļāļĒāļąāļāļāđāļāđāļŦāđāđāļāļīāļāļāļĨāđāļŠāļĩāļĒāļāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĩāđThis study aimed to investigate the adsorption capacity of hydrogen sulfide (H2S) by biochar prepared from agricultural waste. The biochar samples include carbonized corn cob (C), carbonized corn cob under CO2 rich atmospheres (CA), carbonized coconut shell (CO), carbonized coconut shell under CO2 rich atmospheres (COA), carbonized woodchips (B) and carbonized woodchips under CO2 rich atmospheres (BA). All samples were carbonized at the controlled temperature (500 Âą 10 °C). H2S adsorption capability were evaluated in a continuous manner using actual biogas produced from ethanol waste with controlled H2S loading rates of 4,300 Âą 20 g/m3-h. The experimental measurement of the H2S adsorption capacity of C, CO, and B were 2.33 Âą 0.09, 3.66 Âą 0.63, and 5.56 Âą 0.77 g H2S/g Adsorbent material, respectively. The adsorption capacity of CA, COA, and BA were 1.58 Âą 0.90, 1.84 Âą 0.75, and 1.26 Âą 0.20 g H2S/g Adsorbent material. It is thus clear that carbonized woodchip (B) has significantly higher adsorption capacity than carbonized corn cob (C) and coconut shell (CO). Concisely, carbonization under CO2 rich atmosphere cannot enhance adsorption capacity; instead it induces negative effects in most cases
āļāļēāļĢāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļĨāļīāļāļāđāļēāļāļāļĩāļ§āļ āļēāļāļāļēāļāļāđāļģāđāļŠāļĩāļĒāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāđāļāļāļēāļāļāļĨāđāļāļĒāļāļēāļĢāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļEfficiency Increasement of Biogas Production from Vinasse by Trace Element Addition
āļāļēāļāļ§āļīāļāļąāļĒāļāļĩāđāļĄāļĩāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļĨāļīāļāļāđāļēāļāļāļĩāļ§āļ āļēāļāļāļēāļāļāđāļģāđāļŠāļĩāļĒāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāđāļāļāļēāļāļāļĨāđāļāļĒāļāļēāļĢāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļ āđāļāđāđāļāđ āđāļŦāļĨāđāļ āļāļīāļāđāļāļīāļĨ āđāļĨāļ°āļŠāļąāļāļāļ°āļŠāļĩ āļāļēāļāļāļēāļĢāđāļāļīāļāļĢāļ°āļāļāļāļāļāļāļąāļāļāļāļīāļāļĢāļāđāļāļāļīāļāļāļ§āļāļŠāļĄāļāļđāļĢāļāđāļāļāļēāļ 10 āļĨāļīāļāļĢ āļāļĩāđāļāļąāļāļĢāļēāļ āļēāļĢāļ°āļāļĢāļĢāļāļļāļāļŠāļēāļĢāļāļīāļāļāļĢāļĩāļĒāđ 0.50â7.42 āļāļīāđāļĨāļāļĢāļąāļĄāļāļĩāđāļāļāļĩāļāđāļāļĨāļđāļāļāļēāļĻāļāđāđāļĄāļāļĢāļāđāļāļ§āļąāļāļāļāļ§āđāļē āļĢāļ°āļāļāļāļĩāđāđāļĄāđāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļ (R1) āļĢāļ°āļāļāļāļĩāđāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļāđāļāļāļļāļāļ§āļąāļāļāļĩāđāļĄāļĩāļāļēāļĢāđāļāļīāļāļĢāļ°āļāļ (R2) āļĢāļ°āļāļāļāļĩāđāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļāđāļāļāļēāļĢāļŦāļĄāļąāļāļĒāđāļāļĒāļāļĢāļąāđāļāđāļĢāļāļāļāļāļāļļāļāļāļąāļāļĢāļēāļ āļēāļĢāļ°āļāļĢāļĢāļāļļāļāļŠāļēāļĢāļāļīāļāļāļĢāļĩāļĒāđ āđāļĄāļ·āđāļāļĢāđāļāļĒāļĨāļ°āļāļāļāļāđāļēāļāļĄāļĩāđāļāļāļāđāļāļĒāļāļ§āđāļē 50% āļŦāļĢāļ·āļāđāļĄāļ·āđāļāļāļąāļāļĢāļēāļŠāđāļ§āļāļāļĢāļīāļĄāļēāļāļāļĢāļāđāļāļĄāļąāļāļĢāļ°āđāļŦāļĒāļāđāļāļāđāļēāļāļ§āļēāļĄāđāļāđāļāļāđāļēāļ (VFA/Alkalinity Ratio) āļĄāļēāļāļāļ§āđāļē 0.3 (R3) āđāļĨāļ°āļĢāļ°āļāļāļāļĩāđāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļāđāļāļāļēāļĢāļŦāļĄāļąāļāļĒāđāļāļĒāļāļĢāļąāđāļāđāļĢāļāļāļāļāļāļļāļāļāļąāļāļĢāļēāļ āļēāļĢāļ°āļāļĢāļĢāļāļļāļāļŠāļēāļĢāļāļīāļāļāļĢāļĩāļĒāđ, āđāļĄāļ·āđāļāļĢāđāļāļĒāļĨāļ°āļāļāļāļāđāļēāļāļĄāļĩāđāļāļāļāđāļāļĒāļāļ§āđāļē 50% āļŦāļĢāļ·āļāđāļĄāļ·āđāļāļāļąāļāļĢāļēāļŠāđāļ§āļāļāļĢāļīāļĄāļēāļāļāļĢāļāđāļāļĄāļąāļāļĢāļ°āđāļŦāļĒāļāđāļāļāđāļēāļāļ§āļēāļĄāđāļāđāļāļāđāļēāļ (VFA/Alkalinity Ratio) āļĄāļēāļāļāļ§āđāļē 0.5 (R4) āđāļāļĒāļĄāļĩāļāļąāļāļĢāļēāļāļēāļĢāļāļĨāļīāļāļāđāļēāļāļĄāļĩāđāļāļāđāļāđāļēāļāļąāļ 198.90 Âą33.56, 165.90 Âą12.19, 229.40 Âą19.89 āđāļĨāļ° 195.44 Âą24.98 āļĄāļīāļĨāļĨāļīāļĨāļīāļāļĢāļāđāļāļāļĢāļąāļĄāļāļāļāđāļāđāļāļĢāļ°āđāļŦāļĒāļāļĩāđāļāđāļāļāđāļāđāļē āļāļēāļĄāļĨāļģāļāļąāļ āļāļķāđāļāļāļĨāļāļąāļāļāļĨāđāļēāļ§āđāļŠāļāļāđāļŦāđāđāļŦāđāļāļ§āđāļē R3 āđāļŦāđāļāļĨāļāļĩāļāļĩāđāļŠāļļāļ āđāļāļĒāļĢāļ°āļāļāļŠāļēāļĄāļēāļĢāļāļĢāļāļāļĢāļąāļāļāļąāļāļĢāļēāļ āļēāļĢāļ°āļāļĢāļĢāļāļļāļāļŠāļēāļĢāļāļīāļāļāļĢāļĩāļĒāđāđāļāđāļŠāļđāļāļŠāļļāļ 4.94 āļāļīāđāļĨāļāļĢāļąāļĄāļāļĩāđāļāļāļĩāļāđāļāļĨāļđāļāļāļēāļĻāļāđāđāļĄāļāļĢāļāđāļāļ§āļąāļ āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļĨāļīāļāļāđāļēāļāļĄāļĩāđāļāļāđāļāļīāđāļĄāļāļķāđāļāļĢāđāļāļĒāļĨāļ° 15.33 āđāļĄāļ·āđāļāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļąāļāļāļēāļĢāđāļĄāđāđāļāļīāļĄāđāļĨāļŦāļ°āđāļāļāļāļThe objective of this study is to investigate the effects of Trace Elements (TE) addition to increase efficiency of biogas production from vinasse. Multiple experiments were conducted to obtain the optimal feeding dosage of TE, which mainly consisted of iron, nickel and zinc. Experiments were performed in 10-litre lab-scale continuous stirred tank reactors at the organic load rates of 0.50â7.42 kgCOD/m3âĒd. The experiments included a control group and experimental groups as follows: The control case without TE addition (R1); the experimental groups with TE addition daily during system operation (R2); intervention with TE addition at the first fermentation stage in each organic load rate when the methane percentage was lower than 50% or when the volatile fatty acid/alkalinity ratio was more than 0.3 (R3); and the intervention with TE addition at the first fermentation stage in each organic load rate; when the methane percentage was lower than 50% or when the volatile fatty acid/alkalinity ratio was greater than 0.5 (R4). Observed specific methane production was198.90 Âą33.56, 165.90 Âą12.19, 229.40 Âą19.89 and 195.44 Âą24.98 ml/gVSadded. The results showed that R3 yielded the maximum organic loading rate of 4.94 kgCOD/m3âĒd, with 15.33% enhanced methane production efficiency as compared with the no-treatment control group
Bioenergy development in Thailand based on the potential estimation from crop residues and livestock manures
Bioresource evaluation is prerequisite and important to reduce cost of feedstock collection and avoid battle for feedstock to promote the healthy development of bioenergy industry. This study estimated Thai bioresources from arable field crops, horticultural plants and livestock with product quantity or livestock number, residue product ratio or manure productivity, and moisture content. Rice straw and husk, para rubber residues and cattle manure separately have the top amount in arable field crop biomass, horticultural residues and livestock manures. The northeastern region has the most amounts of arable field crop biomass and livestock manures, and the southern region possesses the largest quantities of horticultural residues. The available energy potentials from residues of arable field crops and horticultural plants can reach to maximum of 4.91 x 10(5) TJ and 7.65 x 10(5) TJ, respectively, which can theoretically share 21.67% of current total primary energy supply. The available biogas potential from livestock manures is nearly ten times than its current generation. After analysis the status of technologies and government policies for Thai bioenergy industry, it indicates that the utilization of bioenergy in the form of electricity, heat and transportation fuels has promising prospect in Thailand. The provinces of Thailand which are more suitable for developing bioenergy industry are suggested. This work may guide the reasonable layout of bioenergy industry in Thailand via the presence of bioresouces distribution in every province