reference generation capacity in the entire European UCTE area was 800 GWe in –total 2007. (). Given the above results, and a number of unsuccessful attempts at modeling outputs of much higher capacity expecting to eliminate those large gaps, method 3 was abandoned. 6.6 The Sharpe Ratio of Energy Given that I outlined portfolio metrics for finance, the paper needs to have a section here, showing coal, nuclear, wind, solar in relation to the energy ‘portfolio’ equivalent of a will be natural gas). I have just gotten data for ‘treasury bond’ (this Spain on an hourly for 2009 and will create this matrix before my defense. 6.6 Discussion When accounting for risks in delivering energy technologies, methods 1 and 2 delivered highly comparable results despite the relative uncertainty regarding the cost model used in method 2. It thus seems appropriate to introduce handicaps according the deviations between supply and demand in flow-based output systems such as electricity grids. Technology EROI Method 1 Method 2 (undiscounted) Wind 19.2 5.7 9.7 5.5 8.3 – – Nuclear 15 12 11.5 Table 17 Risk-adjusted EROI for Wind and Nuclear – As we have attempted to demonstrate here, developing a metric for energy flows seems feasible and important. It remains an open question how to develop a similar methodology for stock based energy systems. Due to fungibility and
reference –total generation capacity in the entire European UCTE area was 800 GWe in 2007. (). Given the above results, and a number of unsuccessful attempts at modeling outputs of much higher capacity expecting to eliminate those large gaps, method 3 was abandoned. 6.6 The Sharpe Ratio of Energy Given that I outlined portfolio metrics for finance, the paper needs to have a ‘portfolio’ section here, showing coal, nuclear, wind, solar in relation to the energy equivalent of a ‘treasury bond’ (this will be natural gas). I have just gotten data for Spain on an hourly for 2009 and will create this matrix before my defense. 6.6 Discussion When accounting for risks in delivering energy technologies, methods 1 and 2 delivered highly comparable results despite the relative uncertainty regarding the cost model used in method 2. It thus seems appropriate to introduce handicaps according the deviations between supply and demand in flow-based output systems such as electricity grids. Technology EROI (undiscounted) Method 1 Method 2 Wind 19.2 5.7 – 9.7 5.5 – 8.3 Nuclear 15 12 11.5 Table 17 – Risk-adjusted EROI for Wind and Nuclear As we have attempted to demonstrate here, developing a metric for energy flows seems feasible and important. It remains an open question how to develop a similar methodology for stock based energy systems. Due to fungibility and
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