This paper highlights the relevance of Granger non-causality tests in energy economics research, particularly for informing public policy decisions. While approaches such as CS-ARDL and estimators like AMG and CCEMG are widely used, they do not fully capture the predictive relationships between...

This study applies the concept of regret in decision-making under uncertainty to an energy system optimization model to identify optimal robust and stochastic solutions amongst several design options. The approach is demonstrated on the case study of Accra, Ghana, considering uncertainties...

The global energy landscape is undergoing a major transformation, upending decades of economic thinking built around resource scarcity. Unlike fossil fuels – continuously extracted from finite, geographically fixed deposits – renewable energy revolves around manufacturing technology that...

Long-term planning tools compute investment in energy technologies to reach techno-economic objectives. These tools are typically used to define decarbonization pathways with the corresponding capacities for several types of technologies. However, for most renewable-based resources that are...

This paper examines the impact of China's outbound direct investment (ODI) in the oil sector on global oil prices. Unlike existing studies which have focused on China's oil consumption, this study goes beyond consumption to analyse the effects of China's oil-ODI on global oil prices. Using data...

The proliferation of environmental pollutants, the financial implications of energy transmission and distribution, the scale of electrical network assets, and the accessibility and finite nature of fossil fuels collectively constitute significant catalysts for the progression of renewable...

Energy-outlook from past to future specific years has become essential in energy-economy. Malaysia is a member of ASEAN (Association of South-east Asian Nations), and ASEAN is increasing the use of renewable energy by 2050 to reduce carbon dioxide (CO2) emissions. Coal is Malaysia's primary...

Climate change is driving the need for new approaches to energy production and utilization globally, contributing to the mitigation of greenhouse gas (GHG) emissions. Low-emission hydrogen is recognized as a key energy vector for decarbonization, and numerous countries are currently evaluating...

With the rapid expansion of Artificial Intelligence, there are expectations for a proportional expansion of economic activity due to increased productivity, and with it energy consumption and its associated environmental consequences like carbon dioxide emissions. Here, we combine data on...

The increase in production is of great importance for economic growth. Energy is an irreparable input for economic growth. Besides, the basic routine activities of human beings, such as transportation, cooking, and heating, cannot be managed without energy. However, in countries that produce...

In the conditions of modern business environment of energy companies, studies of their impact on environmental protection are becoming increasingly important. The growing concern at the macro level of the resulting climate change due to energy production is justified. The ecological component in...

During the energy crisis in 2022, electricity prices in Germany soared to unprecedented levels. To explore the drivers of the high electricity prices, we develop an electricity dispatch model that simulates hourly equilibrium prices under the assumption of perfect competition. We then extend...

Introduction -- Nuclear Physics and Reactor Technologies -- Nuclear Power: A System Good Analysis -- The System Good Nuclear Fusion – Organizational Approaches and Two Case Studies on Magnetic Confinement Fusion -- Nuclear Power and Geopolitical Conflicts – An Overview and a Classification...

Opportunities and challenges for downstream diversification in mineral-rich countries -- Economic diversification in green mineral economies -- Pitfalls to Downstream Diversification in Countries Rich in Critical Minerals -- Capability and Risk: A new framework for downstream diversification in...

A broad literature highlights efficiency gains due to cost reduction after privatizations in the energysector. However, to the best of our knowledge, this literature does not develop general equilibriummodels, which are fundamental to account for post-privatization gains from a regional...

We consider linked top-down and bottom-up models in which the top-down model is a mixed-complementarity program describing a macroeconomic system, while the bottom-up model is a linear program describing the energy system. We introduce a coordination algorithm that speeds up convergence for the...

The energy and climate crisis enhance the need for energy savings. In the building sector, these savings can be achieved primarily through thermal retrofitting. So far, progress in this area has been slow. To date, less than one percent of the residential building stock in Germany is retrofitted...

Colombia is committed to reducing its greenhouse gas (GHG) emissions by 51 % by 2030 as part of the Paris Agreement, with a further goal of achieving carbon neutrality by 2050. The energy sector accounts for one-third of net GHG emissions in the country; thus, its decarbonization is crucial to...

This study uses a structural vector autoregressive (SVAR) model to examine the relationships between the intensity of drilling (i.e. investment) for natural gas production, natural gas withdrawals, economic activity and natural gas prices in the United States. The results show that the reaction...

We explore how optimal emission abatement trajectories are affected by dynamic characteristics of greenhouse-gas emitting systems, such as inertia, induced innovation, and pathdependency, by formulating a compact and analytically tractable model with stylized damage assumptions to derive the...

The Asian disease problem has long been studied since first introduced by Tversky and Kahneman in 1981. This study explores the mechanics of the Asian disease problem to a scenario reflecting deaths attributed to climate change. The study examines the gain/loss frame setup of the Asian disease...

Analyzing Global Energy Patterns: Clustering Countries and Predicting Trends Towards Achieving Sustainable Development Goals -- Access to Energy Finance: Development of Renewable Energy in Bangladesh -- Explainable AI in Energy Forecasting: Understanding Natural Gas Consumption through...

Green Driving: Harnessing Machine Learning to Predict Vehicle Carbon Footprints and Interpreting Results with Explainable AI -- A Comparative Evaluation of Deep Neural Networks for Electricity Price Forecasting -- Energy Forecasting Utilizing CNN-LSTM Attention Mechanism: Empirical Evidence from...

Part I. Introduction to Market Coupling -- Chapter 1. Framework of Market Coupling (Ksenia Tolstrup) -- Chapter 2. Principles of Market Coupling (Peter Willis) -- Part II. Operations and Algorithms of Market Coupling -- Chapter 3. Capacity Calculation (Reinhard Kaisinger) -- Chapter 4. TSOs and...

Circular Economy and Sustainability Management -- Renewable and Green Energy -- Energy Policy, Economics and Management. Economics, Finance and Marketing in Energy -- Simulation Energy Efficiency and Zero-Carbon Energy -- Strategic Environmental Assessment -- Sustainable Energy Solutions and...