Location-Specific Sustainability Metrics for Hydrogen Energy Systems

摘要: The aim of the current work is twofold – it seeks to complete knowledge gaps in relation sustainability assessment hydrogen energy systems Australia, but doing so, a new methodology metrics incorporating location-specific environmental factors by way an emissions transport model developed. major contributions this research are: 1. Validation hypothesis environment-dependent with process for environment-industrial interaction and unique use long-term historical data from isolated Australian power station. 2. A novel which assesses deviation due plant against environment’s carrying capacity, based on site-specific signatures emissions. 3. Determining terms soil acidification coal gasification, natural gas steam reforming conventional electricity powered electrolysis, context providing Brisbane, Australia. These are achieved by: Fuel Cycle Inventory inputs selected production technologies; Development that incorporates local limitations; transmission contaminants provide basis metrics; 4. proof (intermittent years 1983 1987 2006) Tarong station; 5. Incorporation application these processes. It found (ETM), atmospheric hydraulic able be validated data, accurate sulphur concentrations at sites around availability kind used validation such pollutant source, can claimed only contributor emissions, very limited, thus offering opportunity developing ETM. shown assumption made methodologies, load as indicator false. This shows impacts, dispersion sensitivity non-linear process, specific environment located particularly important overall sustainability. ETM then development set (SM) incorporate transport, limitations. SM applied technologies, vary significantly its output methodologies. In particular, incorporation “critical loads” give susceptibility gives ability measure absolute, rather than relative, sense. spatial temporal variability shown, contours sustainability, highlighting “hot spots” low produced. Further recommended expand scope examined number impacts assessed.