This paper derives the socially optimal transmission prices in a congested electricity network when there is imperfect competition in generation, and when the budget constraint of the network operator is binding. The results which we derive are a generalization of the standard Ramsey prices and also of the locational marginal prices (LMP). The model is illustrated with a numerical model based o...

Representing peak and off-peak energy prices is often difficult in hydropower modeling because the time scale of price variability (hours or less) is much shorter than that needed for many operations planning models (days to months). This work extends and examines the reliability of an existing approximate method to incorporate hourly energy price information into revenue functions used in hydr...

Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian real estate market segments, our survey has been addressed to gather data from residential proper...

We consider a distribution grid interconnecting a number of consumers with flexible power consumption. Each consumer is under the jurisdiction of exactly one balancing responsible party (BRP), who buys energy at a day-ahead electricity market on behalf of the consumer. We illustrate how BRPs can utilize the flexibility of the consumers to minimize the imbalance between the consumed and the purc...

John M. Marsh (406) 994-5621 [email protected] Profits for U.S. cow-calf producers and cattle finishers depend upon livestock revenues and feed and non feed costs. Some factors that influence profits are subject to management decisions such as technology adoption, health and feed nutrition programs, genetics, and marketing strategies. However, the market components of revenues or costs such as...

We give the reader a tour of good energy optimization models that explicitly deal with uncertainty. The uncertainty usually stems from unpredictability of demand and/or prices of energy, or from resource availability and prices. Since most energy investments or operations involve irreversible decisions, a stochastic programming approach is meaningful. Many of the models deal with electricity in...

Improved technology is often cited as a means to alter the otherwise difficult trade-off between the economic burden of regulation and environmental damage. Focusing on energy-saving technologies that mitigate the threat of climate change, we find that both energy prices and financial health influence technology adoption among a sample of industrial plants in four heavily polluting sectors. Bas...

Growing crops for bio-fuels is often criticized because of its direct competition for land for food production. The recent price increases on world food markets are partly a result of this competition. For instance, cereals prices have increased by more than 60% percent since 2005 and in 2006 sugar prices peaked on a level twice as high as the level of previous years. There are concerns whether...

I construct a putty-clay model of directed technical change and use it to analyze the effect of environmental policy on energy use in the United States. The model matches key data patterns that cannot be explained by the standard Cobb-Douglas approach used in climate change economics. In particular, the model captures both the shortand long-run elasticity of substitution between energy and non-...