LAPSE:2025.0374
Published Article
LAPSE:2025.0374
A Stochastic Techno-Economic Assessment of Emerging Artificial Photosynthetic Bio-Electrochemical Systems for CO2 Conversion
June 27, 2025
Abstract
Artificial Photosynthetic Bio-Electrochemical Systems (AP-BES) offer a promising approach for converting CO2 to valuable bioproducts, addressing carbon mitigation and sustainable production. This study employs a stochastic techno-economic assessment (TEA) to estimate the viability of rhodopsin driven AP-BES, from carbon capture to product purification. Unlike traditional deterministic TEAs, this approach uses Monte Carlo simulations to model uncertainties in key technoeconomic parameters, including energy consumption, CO2 conversion efficiency, and bioproduct market prices. The analysis generates probability distributions for economic metrics such as Operational Expenditure (OPEX), Capital Expenditure (CAPEX), and profit. Enhancements in light-harvesting efficiency and advancements in reactor materials were predicted to reduce the payback period to just one year, thereby making large-scale deployment a feasible option.
Artificial Photosynthetic Bio-Electrochemical Systems (AP-BES) offer a promising approach for converting CO2 to valuable bioproducts, addressing carbon mitigation and sustainable production. This study employs a stochastic techno-economic assessment (TEA) to estimate the viability of rhodopsin driven AP-BES, from carbon capture to product purification. Unlike traditional deterministic TEAs, this approach uses Monte Carlo simulations to model uncertainties in key technoeconomic parameters, including energy consumption, CO2 conversion efficiency, and bioproduct market prices. The analysis generates probability distributions for economic metrics such as Operational Expenditure (OPEX), Capital Expenditure (CAPEX), and profit. Enhancements in light-harvesting efficiency and advancements in reactor materials were predicted to reduce the payback period to just one year, thereby making large-scale deployment a feasible option.
Record ID
Keywords
Artificial Photosynthesis, Carbon Conversion, Synthetic Biology, Techno Economic Assessment
Subject
Suggested Citation
Saeed H, Yang A, Huang W. A Stochastic Techno-Economic Assessment of Emerging Artificial Photosynthetic Bio-Electrochemical Systems for CO2 Conversion. Systems and Control Transactions 4:1383-1388 (2025) https://doi.org/10.69997/sct.186579
Author Affiliations
Saeed H: University of Oxford, Department of Engineering Science, Oxford, United Kingdom
Yang A: University of Oxford, Department of Engineering Science, Oxford, United Kingdom
Huang W: University of Oxford, Department of Engineering Science, Oxford, United Kingdom
Yang A: University of Oxford, Department of Engineering Science, Oxford, United Kingdom
Huang W: University of Oxford, Department of Engineering Science, Oxford, United Kingdom
Journal Name
Systems and Control Transactions
Volume
4
First Page
1383
Last Page
1388
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 1383-1388-1335-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0374
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https://doi.org/10.69997/sct.186579
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Jun 27, 2025
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