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| 1 |
ID:
093528
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| Publication |
2010.
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| Summary/Abstract |
High crude oil prices, uncertainties about the consequences of climate change and the eventual decline of conventional oil production raise the prospects of alternative fuels, such as biofuels. This paper describes a simple probabilistic model of the costs of energy crops, drawing on the user's degree of belief about a series of parameters as an input. This forward-looking analysis quantifies the effects of production constraints and experience on the costs of corn and sugar cane, which can then be converted to bioethanol. Land is a limited and heterogeneous resource: the crop cost model builds on the marginal land suitability, which is assumed to decrease as more land is taken into production, driving down the marginal crop yield. Also, the maximum achievable yield is increased over time by technological change, while the yield gap between the actual yield and the maximum yield decreases through improved management practices. The results show large uncertainties in the future costs of producing corn and sugar cane, with a 90% confidence interval of 2.9-7.2$/GJ in 2030 for marginal corn costs, and 1.5-2.5$/GJ in 2030 for marginal sugar cane costs. The influence of each parameter on these supply costs is examined.
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| 2 |
ID:
087402
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| Publication |
Cambridge, Cambridge University Press, 1984.
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| Description |
xviii, 171p.
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| Standard Number |
0521261910
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Copies: C:1/I:0,R:0,Q:0
Circulation
| Accession# | Call# | Current Location | Status | Policy | Location |
| 024720 | 338.47621483/EVA 024720 | Main | On Shelf | General | |
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| 3 |
ID:
123733
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| Publication |
2013.
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| Summary/Abstract |
High crude oil prices and the eventual decline of conventional oil production raise the issue of alternative fuels such as non-conventional oil. The paper describes a simple probabilistic model of the costs of synthetic crude oil produced from Canadian oil sands. Synthetic crude oil is obtained by upgrading bitumen that is first produced through mining or in-situ recovery techniques. This forward-looking analysis quantifies the effects of learning and production constraints on the costs of supplying synthetic crude oil. The sensitivity analysis shows that before 2035, the most influential parameters are the learning parameter in the case of in-situ bitumen and the depletion parameter in the case of mined bitumen. After 2035, depletion dominates in both cases. The results show that the social cost of CO2 has a large impact on the total costs of synthetic crude oil, in particular in the case of synthetic crude oil from in-situ bitumen, due to the carbon intensity of the recovery techniques: taking into account the social cost of CO2 adds more than half to the cost of producing synthetic crude oil from mined bitumen in 2050 (mean value), while the cost of producing synthetic crude oil from in-situ bitumen more than doubles.
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