Hydrogen,recognized as a critical energy source,requires green production methods,such as proton exchange membrane water electrolysis(PEMWE)powered by renewable energy.This is a key step toward sustainable development...Hydrogen,recognized as a critical energy source,requires green production methods,such as proton exchange membrane water electrolysis(PEMWE)powered by renewable energy.This is a key step toward sustainable development,with economic analysis playing an essential role.Life cycle costing(LCC)is commonly used to evaluate economic feasibility,but traditional LCC analyses often provide a single cost outcome,which limits their applicability across diverse regional contexts.To address these challenges,a Python-based tool is developed in this paper,integrating a bottom-up approach with net present value(NPV)calculations and Monte Carlo simulations.The tool allows users to manage uncertainty by intervening in the input data,producing a range of outcomes rather than a single deterministic result,thus offering greater flexibility in decision-making.Applying the tool to a 5 MW PEMWE plant in Germany,the total cost of ownership(TCO)is estimated to range between€52 million and€82.5 million,with hydrogen production costs between 5.5 and 11.4€/kg H2.There is a 95%probability that actual costs fall within this range.Sensitivity analysis reveals that energy prices are the key contributors to LCC,accounting for 95%of the variance in LCC,while iridium,membrane materials,and power electronics contribute to 75%of the variation in construction-phase costs.These findings underscore the importance of renewable energy integration and circular economy strategies in reducing LCC.展开更多
基金funded by the Energie-Forschungszentrum Niedersachsen(efzn)in Germany,the SeLeKT-H2 project,and the Open Access Publishing Fund of Clausthal University of Technology.
文摘Hydrogen,recognized as a critical energy source,requires green production methods,such as proton exchange membrane water electrolysis(PEMWE)powered by renewable energy.This is a key step toward sustainable development,with economic analysis playing an essential role.Life cycle costing(LCC)is commonly used to evaluate economic feasibility,but traditional LCC analyses often provide a single cost outcome,which limits their applicability across diverse regional contexts.To address these challenges,a Python-based tool is developed in this paper,integrating a bottom-up approach with net present value(NPV)calculations and Monte Carlo simulations.The tool allows users to manage uncertainty by intervening in the input data,producing a range of outcomes rather than a single deterministic result,thus offering greater flexibility in decision-making.Applying the tool to a 5 MW PEMWE plant in Germany,the total cost of ownership(TCO)is estimated to range between€52 million and€82.5 million,with hydrogen production costs between 5.5 and 11.4€/kg H2.There is a 95%probability that actual costs fall within this range.Sensitivity analysis reveals that energy prices are the key contributors to LCC,accounting for 95%of the variance in LCC,while iridium,membrane materials,and power electronics contribute to 75%of the variation in construction-phase costs.These findings underscore the importance of renewable energy integration and circular economy strategies in reducing LCC.
