Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning...

Although the building sector is recognized as having major potential for energy conservation and carbon dioxide emission mitigation, conventional bottom–up and top–down models are limited in their ability to capture the complex economic and technological dynamics of the sector. This paper...

During the last years the worldwide legal framework has stimulated the biofuel development, causing their production and use to be exhaustively studied. Biodiesel has been mostly produced in European countries, but the agronomic potential of the Latin-American countries has led the effort toward...

Energy economy optimization (EEO) models employ formal search techniques to explore the future decision space over several decades in order to deliver policy-relevant insights. EEO models are a critical tool for decision-makers who must make near-term decisions with long-term effects in the face...

Natural gas is increasingly important as a fuel for electric power generation as well as other uses due to its environmental advantage over other fossil fuels. Using the World Gas Model, a large-scale energy equilibrium system based on a complementarity formulation, this paper analyzes possible...

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in...

I develop a simple dynamic model showing how total energy capacity is allocated to two different uses and how these uses and their corresponding energy flows are related and behave through time. The control variable of the model determines the allocation. All the variables of the model are in...

This study compares Photovoltaic (PV) power stations between Germany and the United States to examine which country more efficiently provides renewable energy in their usages. For the comparative analysis, this study utilizes Data Envelopment Analysis (DEA) as a methodology to evaluate the...

A balance between industrial pollution prevention and economic growth becomes a world-wide issue to develop a sustainable society in many industrial nations. To discuss the issue, this study proposes a new use of DEA environmental assessment to determine how to effectively allocate capital for...

Canadian oil sands hold the third largest recognized oil deposit in the world. While the rapidly expanding oil sands industry in western Canada has driven economic growth, the extraction of the oil comes at a significant environmental cost. It is believed that the government policies have failed...