Feasibility assessment of power-to-methanol through solar thermochemical hydrogen production plant: A case study
Bibliographic record
Abstract
• A novel solar-based methanol production system is presented. • It integrates a thermochemical water-splitting cycle with an oxy-fuel power plant. • Hourly simulations are analyzed using meteorological data. • The cost of green hydrogen and e-methanol is about $5.5/kg and $1,531/tonne. • The proposed system utilizes 32 % of the annually captured CO 2 . Power-to-X technologies are pivotal in the future energy landscape, converting renewable electricity into valuable chemicals and fuels. This study proposes a novel solar-based methanol production system to decarbonize an existing power plant through a case study. The system integrates a copper-chlorine (Cu-Cl) thermochemical water-splitting cycle as a promising technology for sustainable hydrogen production with an oxy-fuel combined cycle power plant to determine if it can create e-methanol at a lower cost than alternative methanol production technologies. The power-to-methanol (PtM) system is modeled to establish its technical framework. Subsequently, hourly dynamic simulations are performed, and the effect of real-world solar conditions on the annual system performance is investigated, considering meteorological data. It is demonstrated that the system can produce hydrogen and methanol at competitive production costs while featuring lower operating expenses (OPEX) due to lower electricity consumption than conventional electrolysis methods. Moreover, the surplus electricity produced from the integrated gas turbine and steam Rankine cycles can be sold to the grid and increase the economic performance of the proposed PtM system. The considered system operates optimally at the design direct normal irradiance (DNI) of 881 W/m 2 . Under these conditions, the cost of hydrogen and e-methanol is about $5.5/kg and $1,531/tonne. The CO 2 emissions analysis also reveals that the proposed system utilizes 32 % of the annually captured CO 2 (1.3 kgCO 2 /kgMeOH). With analysts projecting the carbon price to increase to around $186/tCO 2 by 2035, the levelized cost of methanol (LCOM) would decrease to $1,291/tonne, enhancing the cost-competitiveness of e-methanol production.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".