کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1742106 1521826 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Infrastructure associated emissions for renewable diesel production from microalgae
ترجمه فارسی عنوان
تولید ناخالصی مربوط به زیرساخت برای تولید دیزل تجدیدپذیر از میکروالگوها
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• Evaluated infrastructure-related GHG emissions for renewable diesel from algae.
• Baseline facility to produce renewable diesel in the United States gulf region.
• Pond liners had the largest effect on GHG emissions in the sensitivity analysis.
• Increasing the productivity and lipid content independently decreased emissions.
• Infrastructure can contribute significantly to emissions.

Greenhouse gas (GHG) emissions for microalgae biofuel infrastructure are sometimes neglected during a life-cycle analysis (LCA). Construction materials were found for a baseline facility designed to produce renewable diesel in the United States. Material use was amortized over the material lifetime of thirty years and then, using emission factors available in GREET 2, energy use and GHG emissions were found per MJ of renewable diesel (MJ RD). For the baseline, infrastructure GHG emissions were 8.9 gCO2e/MJ RD. Plastic and concrete had the largest emissions, and the growth ponds used the most materials of any unit operation. Fossil fuels comprised 97% of all energy use, which came predominately from natural gas at 0.090 MJ/MJ RD. A sensitivity analysis showed that changes to the pond liner thickness and material lifetime had the largest effects with the lifetime increasing the GHG emissions 28% over the baseline. Increasing the productivity (up to 50 g/m2/d) or lipid content (up to 50 wt.%) decreased the emissions. Infrastructure emissions were compared to those from the fuel-cycle of a reduced emission scenario, showing that infrastructure related emissions ranged from 17% to 57% of the fuel-cycle emissions, with higher values at lower productivities.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Algal Research - Volume 5, July 2014, Pages 195–203
نویسندگان
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