This paper reviews the adjustments of the feed-in tariffs for new solar photovoltaic (PV) installations in Germany. As PV system prices declined rapidly since 2009, the German government implemented automatic mechanisms to adjust the remuneration level for new installations in response to...

Managing the transition to a renewable energy future is an important policy priority in many countries. Solar photovoltaic (PV) technology is expected to make an essential contribution, but due to relatively high cost, its growth to date has been largely driven by public policy, notably feed-in...

Short-term electricity markets are key to an efficient production by generation units. We develop a two-period model to assess different bidding formats to determine for each bidding format the optimal bidding strategy of competitive generators facing price-uncertainty. We compare the results...

In this article, an extensive review of the rapidly growing biofuel-related time-series literature is carried out. The data used, the modeling techniques and the main findings of this literature are discussed. Providing a review of this flourishing research area is relevant as a guidepost for...

A structural vector autoregression (SVAR) model along with a direct acyclic graph is employed to decompose how supply/demand structural shocks affect food and fuel markets. The results support the hypothesis that fundamental market forces of demand and supply are the main drivers of food price...

This study explores heterogeneity in individual willingness to pay (WTP) for a public good using several different variants of the multinomial logit (MNL) model for stated choice data. These include a simple MNL model with interaction terms between respondent characteristics and attribute...

The chemical sector is a key driver of China's remarkable growth record and accounts for about 10% of the country's GDP. This has made the industry energy-intensive and consequently a major contributor to greenhouse gas emissions (GHG) and other pollutants. This study has attempted to...

A global and local learning model (GALLM) has been developed to project the cost and global uptake of different electricity generation technologies to the year 2050. This model features three regions, endogenous technological learning within and across those regions, various government policies...

In this paper we study the diffusion of non-hydro renewable energy (NHRE) technologies for electricity generation across 108 developing countries between 1980 and 2010. We use two-stage estimation methods to identify the determinants behind the choice of whether or not to adopt NHRE as well as...

In this research, a fuzzy interval-parameter approach considering constraint-violation and energy-substitution effects (FIP-CVESE) was developed for planning municipal energy systems, which was an integration of interval linear programming (ILP) and fuzzy linear programming (FLP), as well as...