Engineering topics

Li, Yalin

Publications and source records attributed to Li, Yalin.

22 records · Page 2

DOE OSTI2019

Demonstration and Evaluation of Hybrid Microalgae Aqueous Conversion Systems for Biofuel Production

As an effort to develop affordable and sustainable energy sources, algae-derived biofuels have attracted considerable interest. As use of individual conversion processes targeting a subset of biochemical components (e.g., extraction and upgrading of lipids) has been shown to be economically unfeasible, there is a recognized need for integrated conversion systems that can valorize algal feedstocks with varying cell compositions. In this study, two hybrid systems (HBD-1, HBD-2) are proposed to enable more efficient conversion of all biomass components (lipids, proteins, carbohydrates) by leveraging two complementary systems: direct hydrothermal liquefaction (DHTL) and combined algal processing (CAP). Demonstrative experiments with Scenedesmus acutus show a 12.2-34.3% increase in fuel yields relative to individual systems (DHTL, CAP). Subsequent modeling efforts reveal substantial improvements stemming from CAP valorization of carbohydrates and lipids and DHTL valorization of proteins and CAP residuals. The maximum biomass-to-fuel conversion efficiencies for lipids/proteins/carbohydrate cell components are 79%/34%/75% (HBD-2), and techno-economic analysis suggests a 3.2-62.1% reduction in minimum fuel selling prices (MFSPs). The increased fuel yields and reduced MFSPs highlight the flexibility of the hybrid systems for biofuel production, revealing advantages of these systems for broader ranges of feedstocks, including ones not traditionally considered for fuel production.

09 BIOMASS FUELS↗

DOE OSTI2018

A Unified Modeling Framework to Advance Biofuel Production from Microalgae

Modeling efforts to understand the financial implications of microalgal biofuels often assume a static basis for microalgae biomass composition and cost, which has constrained cultivation and downstream conversion process design and limited in-depth understanding of their interdependencies. For this work, a dynamic biological cultivation model was integrated with thermo-chemical/biological unit process models for downstream biorefineries to increase modeling fidelity, to provide mechanistic links among unit operations, and to quantify minimum product selling prices of biofuels via techno-economic analysis. Variability in design, cultivation, and conversion parameters were characterized through Monte Carlo simulation, and sensitivity analyses were conducted to identify key cost and fuel yield drivers. Cultivating biomass to achieve the minimum biomass selling price or to achieve maximum lipid content were shown to lead to suboptimal fuel production costs. Depending on biomass composition, both hydrothermal liquefaction and a biochemical fractionation process (combined algal processing) were shown to have advantageous minimum product selling prices, which supports continued investment in multiple conversion pathways. Ultimately, this work demonstrates a clear need to leverage integrated modeling platforms to advance microalgae biofuel systems as a whole, and specific recommendations are made for the prioritization of research and development pathways to achieve economical biofuel production from microalgae.

09 BIOMASS FUELS↗

DOE OSTI2018

Quantitative Evaluation of an Integrated System for Valorization of Wastewater Algae as Bio-oil, Fuel Gas, and Fertilizer Products

Algal systems have emerged as a promising strategy for simultaneous treatment and valorization of wastewater. However, further advancement and real-world implementation are hindered by the limited knowledge on the full energetic and nutrient product potentials of such systems and the corresponding value of these products. In this work, an aqueous-based system for the conversion of wastewater-derived algae and upgrading of crude products was designed and demonstrated. Bio-oil, fuel gas, and fertilizer products were generated from algal biomass harvested from a municipal wastewater treatment facility. Experiments showed that 68% of chemical energy contained in the algal biomass could be recovered with 44% in upgraded bio-oil and 23% in fuel gas (calculated as higher heating values), and 44% and 91% of nitrogen and phosphorus element contents in the original feedstock could be recovered as fertilizer products (ammonium sulfate and struvite), respectively. For 1,000 kg of such dry algal biomass, these products had an estimated total value of $427 (in 2014 U.S. dollars). For the first time, experiment-based energy and nutrient recovery potentials of wastewater-derived algae were presented in an integrated manner. Findings also revealed critical research needs and suggested strategies to further improve resource recovery and waste valorization in these systems.

09 BIOMASS FUELS↗

DOE OSTI2017

Quantitative multiphase model for hydrothermal liquefaction of algal biomass

Here, optimized incorporation of hydrothermal liquefaction (HTL, reaction in water at elevated temperature and pressure) within an integrated biorefinery requires accurate models to predict the quantity and quality of all HTL products. Existing models primarily focus on biocrude product yields with limited consideration for biocrude quality and aqueous, gas, and biochar co-products, and have not been validated with an extensive collection of feedstocks. In this study, HTL experiments (300 °C, 30 min) were conducted using 24 different batches of microalgae feedstocks with distinctive feedstock properties, which resulted in a wide range of biocrude (21.3–54.3 dry weight basis, dw%), aqueous (4.6–31.2 dw%), gas (7.1–35.6 dw%), and biochar (1.3–35.0 dw%) yields. Based on these results, a multiphase component additivity (MCA) model was introduced to predict yields and characteristics of the HTL biocrude product and aqueous, gas, and biochar co-products, with only feedstock biochemical (lipid, protein, carbohydrate, and ash) and elemental (C/H/N) composition as model inputs. Biochemical components were determined to distribute across biocrude product/HTL co-products as follows: lipids to biocrude; proteins to biocrude > aqueous > gas; carbohydrates to gas ≈ biochar > biocrude; and ash to aqueous > biochar. Modeled quality indicators included biocrude C/H/N contents, higher heating value (HHV), and energy recovery (ER); aqueous total organic carbon (TOC) and total nitrogen (TN) contents; and biochar carbon content. The model was validated with HTL data from the literature, the potential to expand the application of this modeling framework to include waste biosolids (e.g., wastewater sludge, manure) was explored, and future research needs for industrial application were identified. Ultimately, the MCA model represents a critical step towards the integration of cultivation models with downstream HTL and biorefinery operations to enable system-level optimization, valorization of co-product streams (e.g., through catalytic hydrothermal gasification and nutrient recovery), and the navigation of tradeoffs across the value chain.

09 BIOMASS FUELS↗