scholarly journals Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus

Processes ◽  
2015 ◽  
Vol 3 (3) ◽  
pp. 514-539 ◽  
Author(s):  
Daniel Garcia ◽  
Fengqi You
Keyword(s):  
Life Cycle ◽  
Systems Analysis ◽  
Network Modeling ◽  
Modeling Framework ◽  
Solution Algorithms ◽  
Water Energy Nexus

scholarly journals Evaluating the Impacts of ACP Management on the Energy Performance of Hydrothermal Liquefaction via Nutrient Recovery

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 729 ◽  
Author(s):  
Sarah Bauer ◽  
Fangwei Cheng ◽  
Lisa Colosi
Keyword(s):  
Life Cycle ◽  
Energy Performance ◽  
Hydrothermal Liquefaction ◽  
Liquid Fuels ◽  
Precipitation Process ◽  
Net Energy ◽  
Modeling Framework ◽  
Energy Return On Investment ◽  
Theoretical Yield ◽  
Struvite Precipitation

Hydrothermal liquefaction (HTL) is of interest in producing liquid fuels from organic waste, but the process also creates appreciable quantities of aqueous co-product (ACP) containing high concentrations of regulated wastewater pollutants (e.g., organic carbon, nitrogen (N), and phosphorus (P)). Previous literature has not emphasized characterization, management, or possible valorization of ACP wastewaters. This study aims to evaluate one possible approach to ACP management via recovery of valuable scarce materials. Equilibrium modeling was performed to estimate theoretical yields of struvite (MgNH4PO4·6H2O) from ACP samples arising from HTL processing of selected waste feedstocks. Experimental analyses were conducted to evaluate the accuracy of theoretical yield estimates. Adjusted yields were then incorporated into a life-cycle energy modeling framework to compute energy return on investment (EROI) for the struvite precipitation process as part of the overall HTL life-cycle. Observed struvite yields and residual P concentrations were consistent with theoretical modeling results; however, residual N concentrations were lower than model estimates because of the volatilization of ammonia gas. EROI calculations reveal that struvite recovery is a net-energy producing process, but that this benefit offers little to no improvement in EROI performance for the overall HTL life-cycle. In contrast, corresponding economic analysis suggests that struvite precipitation may be economically appealing.

Systems Analysis and Life-Cycle Assessment for energy and environmental sustainability

2020 ◽  
Vol 317 ◽  
pp. 123988 ◽  
Author(s):  
Edgard Gnansounou ◽  
Murthy S. Ganti ◽  
Anoop Singh ◽  
Benoit Gabrielle
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Sustainability ◽  
Systems Analysis

scholarly journals Adjustment of the Life Cycle Inventory in Life Cycle Assessment for the Flexible Integration into Energy Systems Analysis

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4437
Author(s):  
Thomas Betten ◽  
Shivenes Shammugam ◽  
Roberta Graf
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Systems Analysis ◽  
Energy Systems ◽  
Use Case ◽  
Double Counting ◽  
Energy Technologies ◽  
Theoretical Approaches ◽  
Energy Systems Analysis ◽  
The Difference

With an increasing share of renewable energy technologies in our energy systems, the integration of not only direct emission (from the use phase), but also the total life cycle emissions (including emissions during resource extraction, production, etc.) becomes more important in order to draw meaningful conclusions from Energy Systems Analysis (ESA). While the benefit of integrating Life Cycle Assessment (LCA) into ESA is acknowledged, methodologically sound integration lacks resonance in practice, partly because the dimension of the implications is not yet fully understood. This study proposes an easy-to-implement procedure for the integration of LCA results in ESA based on existing theoretical approaches. The need for a methodologically sound integration, including the avoidance of double counting of emissions, is demonstrated on the use case of Passivated Emitter and Rear Cell photovoltaic technology. The difference in Global Warming Potential of 19% between direct and LCA based emissions shows the significance for the integration of the total emissions into energy systems analysis and the potential double counting of 75% of the life cycle emissions for the use case supports the need for avoidance of double counting.

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