We present a hybrid mechanism application for the electrical system network expansion in Mexico, United States and Canada. The application is based on redefining the transmission output in terms of "point-to-point" transactions or financial transmission rights (FTRs); rebalancing the fixed and...

This paper presents an application of a mechanism that provides incentives to promote transmission network expansion in the electricity system of the Ontario province. Such a mechanism combines a merchant approach with a regulatory approach. It is based on the rebalancing of a two-part tariff...

This paper presents a case study of regulation of natural gas pricing in Mexico as a case of “successful” policy research. Studies done under an academic agreement between the Comisión Reguladora de Energía (CRE) and the Centro de Investigación y Docencia Económicas (CIDE) in Mexico City...

At the present time, solar power is not a competitive fuel for supplying electricity to the grid in the United States. However, an economic model developed by the U.S. National Renewable Energy Laboratory (NREL) forecasts that solar power production costs could drop twenty percent every time...

This paper studies the electricity market design long run problem of ensuring enough generation capacity to meet future demand (resource adequacy). Reform processes worldwide have shown that it is difficult for the market alone to provide incentives to attract enough investment in capacity...

This paper examines the Hogan-Rosellón-Vogelsang (2007) (HRV) incentive mechanism for transmission expansion, and tests it for different network topologies. This new mechanism is based upon redefining transmission output in terms of point-to-point transactions or financial transmission rights...

We address the optimal timing of investment in gas pipelines when the demand for gas is stochastic. We will show that this is a problem that can be solved in theory, but the practical solution depends on functions and parameters that are either subjective or cannot be estimated. We will then...