Lignocellulosic Ethanol: The Path to Market

The cost effective production of transport fuels from biomass is essential if the EU aspiration to substitute 10% of transport fuels with sustainable alternatives by 2020 is to be met. The hope, voiced by the Parliament’s Industry and Energy Committee, is that at least 40% of the 2020 target will come from second-generation biofuels, and therein lies the challenge: second-generation conversion technologies are not yet commercial. Multiple pathways are being investigated around the globe, but dominant pathways have yet to emerge and business models have yet to be proven. Nevertheless, expectations are running high and there has been significant investment in R&D in the US, Europe and Asia. The production of ethanol from lignocellulosic biomass is commercially and environmentally one of the most promising options, and in 2007 the US Department of Energy (DOE) provided more than US$1 billion toward lignocellulosic ethanol (LE) projects. Their goal was to make the fuel cost competitive at$1.33 per gallon, when deployed at scale, by 2012. The majority of studies also suggest that LE will result in superior greenhouse gas savings compared to ethanol produced from starch. Despite favourable predictions for cost and environmental performance, market deployment requires practical and plausible development paths that are able to support progress from existing small-scale demonstration plant to large industrial installations. Moreover, these development paths must be sufficiently attractive to persuade developers and investors that lignocellulosic ethanol remains an opportunity worth pursuing

Prioritising the best use of biomass resources: conceptualising trade-offs

02.09.13 KB. Ok to add report to Spiral. Authors hold copyrightUsing biomass to provide energy services is one of the most versatile options for increasing the proportion of renewable energy in the existing system. This report reviews metrics used to compare alternative bio-energy pathways and identifies limitations inherent in the way that they are calculated and interpreted. It also looks at how companies and investors approach strategic decisions in the bio-energy area. Bio-energy pathways have has physical and economic attributes that can be measured or modelled. These include: the capital cost, operating cost, emissions to air, land and water. Conceptually, comparing alternative pathways is as simple as selecting the attributes and metrics you consider to be most important and ranking the alternative pathways accordingly. At an abstract level there is good agreement about which features of bio-energy pathways are desirable, but there is little agreement about which performance metrics best capture all the relevant information about a bio-energy pathway. Between studies there is also a great deal of variation and this impedes comparison. Common metrics describe energetic performance, economic performance, environmental performance (emissions, land and water use), and social and ecological performance. Compound metrics may be used to integrate multiple attributes but their highly aggregate nature may make them difficult to interpret. Insights that may be drawn from the analysis include:

The UK bio-energy resource base to 2050: estimates, assumptions, and uncertainties

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Global bioenergy resources

Using biomass to provide energy services is a strategically important option for increasing the global uptake of renewable energy. Yet the practicalities of accelerating deployment are mired in controversy over the potential resource conflicts that might occur, particularly over land, water and biodiversity conservation. This calls into question whether policies to promote bioenergy are justified. Here we examine the assumptions on which global bioenergy resource estimates are predicated. We find that there is a disjunct between the evidence that global bioenergy studies can provide and policymakers' desire for estimates that can straightforwardly guide policy targets. We highlight the need for bottom-up assessments informed by empirical studies, experimentation and cross-disciplinary learning to better inform the policy debate

Uinta Ground Squirrel Demography: Is Body Mass a Better Categorical Variable Than Age?

We compared the relative impact of age and body mass on fecundity and survival in a population of Uinta ground squirrels, and modeled the population using bodymass classes as stage categories in Lefkovitch stage transition matrices. Body mass was a better predictor of survival than was age, and was nearly as good a predictor of litter size. Mass-based stage transition matrices provided results similar to age-based transition matrices, but also indicated that larger and subsequently more fecund young were a consequence of a population reduction. We believe that mass-based analysis of ground squirrel populations is a viable alternative to traditional age-based analyses. Body mass is easy to measure in small-mammal populations and is linked to a variety of life-history characteristics

Preliminary comparison of 3.5-cm and 12.6-cm wavelength continuous wave observations of Mars

Radar observations of Mars at Goldstone in 1990 were conducted by transmitting pure sinusoidal signals at 3.5-cm wavelengths and receiving the Doppler-spread echoes from Mars at Earth. Radar transmissions were circularly polarized and the echoes recorded in two senses: depolarized and polarized. Latitudes of the subradar points are between 3.5 deg and 11.1 deg S; longitude coverage is discontinuous. The observed depolarized and polarized echo total cross-sections and their ratios for two wavelengths were compared and discussed

Rushing to Overpay: The REIT Premium Revisited

We explore the questions of whether and why Real Estate Investment Trusts (REITs) pay more for real estate than non-REIT buyers, consequently breaking the law of one price. We develop a model where REITs optimally pay more for property because (1) they are able, due to capital access advantages and, (2) are occasionally compelled, due to regulatory time constraints on the deployment of capital. We show that the typically large (20 to 60 percent) and statistically significant (p-values less than 0.01) REIT-buyer premiums found in standard empirical hedonic pricing models are biased due to unobserved explanatory variables. Using a repeat-transaction methodology that controls for unobserved independent variables, we find the REIT-buyer premium to be about 5 percent. Furthermore, we show that REITs¿ ability (as measured by access to capital markets) and regulator compulsion (as measured by capital deployment deadlines) are related to the price premium.Real Estate Investment Trusts (REITs), commercial properties, hedonic price analysis, repeat transactions, market efficiency, law of one price, price premium