Computational Framework for Optimal Carbon Taxes Based on Electric Supply Chain Considering Transmission Constraints and Losses

A modeling and computational framework is presented for the determination of optimal carbon taxes that apply to electric power plants in the context of electric power supply chain with consideration of transmission constraints and losses. In order to achieve this goal, a generalized electric power supply chain network equilibrium model is used. Under deregulation, there are several players in electrical market: generation companies, power suppliers, transmission service providers, and consumers. Each player in this model tries to maximize its own profit and competes with others in a noncooperative manner. The Nash equilibrium conditions of these players in this model form a finite-dimensional variational inequality problem (VIP). By solving this VIP via an extragradient method based on an interior point algorithm, the optimal carbon taxes of power plants can be determined. Numerical examples are provided to analyze the results of the presented modeling

Analysis of the Aviation Industry in Indonesia Period 2003-2015 Based on Domestic Passenger Growth and the Strategic Implication for Airlines and Government

The objective of the study was to analyze the growth of the number of domestic passengers in Indonesia based on emprical data of the last 12 years to forecast the number of domestic passenger for 2016-2021 by using panel data modeling with random effects model technique. The research using independent variable air traffic, ticket prices and per capita income has never been done in the Indonesia\u27s aviation industry, but research with the same model ever done in the industry of electrical household. The results of the study are useful for strategic planning for companies in developing the market and government of Republic of Indonesia to determine the right public policies needed to support the aviation industry development which able to accelerate economic growth, ensure the safety and convenient of air transport passengers and the sustainability of aviation industry. The results of this study indicate that the variable number of air traffic can be explained by ninety one point eleven percent by variable number of air traffic, yield and per capita income and has a close relationship to the number of domestic passengers in Indonesia

ANALYSIS OF THE AVIATION INDUSTRY IN INDONESIA PERIOD 2003-2015 BASED ON DOMESTIC PASSENGER GROWTH AND THE STRATEGIC IMPLICATION FOR AIRLINES AND GOVERNMENT

The objective of the study was to analyze the growth of the number of domestic passengers in Indonesia based on emprical data of the last 12 years to forecast the number of domestic passenger for 2016-2021 by using panel data modeling with random effects model technique. The research using independent variable air traffic, ticket prices and per capita income has never been done in the Indonesia’s aviation industry, but research with the same model ever done in the industry of electrical household. The results of the study are useful for strategic planning for companies in developing the market and government of Republic of Indonesia to determine the right public policies needed to support the aviation industry development which able to accelerate economic growth, ensure the safety and convenient of air transport passengers and the sustainability of aviation industry. The results of this study indicate that the variable number of air traffic can be explained by ninety one point eleven percent by variable number of air traffic, yield and per capita income and has a close relationship to the number of domestic passengers in Indonesia

Suitability assessment of an ICE-based micro-CCHP unit in different spanish climatic zones: application of an experimental model in transient simulation

Tri-generation plants will have an important role in the near future in the residential sector where heating and cooling demands come into play throughout the year. Depending on the building’s location, the characteristics of its enclosure and its use, the thermal loads and demands will be different. This article analyses and compares a combined cooling, heating and power (CCHP) system tested in the laboratory and a single household located in Spain. The cooling capacity is obtained using a reversible heat pump where the compressor is driven directly by a gas engine with internal combustion engine (ICE) technology. The tests were carried out in a work bench at three different operating speeds. A variable-speed model is developed in the TRNSYS simulation environment with an operating strategy following the thermal load (FTL). Once the micro-CCHP system was modeled with experimental data and validated, it was dynamically simulated to analyze its performance in different climatic zones defined in the Spanish “Código Técnico de la Edificación” (CTE). This study reveals that the micro-CCHP system is suitable in mild weathers during the summer season.Ministerio de Ciencia e Innovación | Ref. IDI-2011166

Energy Management Systems for Smart Electric Railway Networks: A Methodological Review

Energy shortage is one of the major concerns in today’s world. As a consumer of electrical energy, the electric railway system (ERS), due to trains, stations, and commercial users, intakes an enormous amount of electricity. Increasing greenhouse gases (GHG) and CO2 emissions, in addition, have drawn the regard of world leaders as among the most dangerous threats at present; based on research in this field, the transportation sector contributes significantly to this pollution. Railway Energy Management Systems (REMS) are a modern green solution that not only tackle these problems but also, by implementing REMS, electricity can be sold to the grid market. Researchers have been trying to reduce the daily operational costs of smart railway stations, mitigating power quality issues, considering the traction uncertainties and stochastic behavior of Renewable Energy Resources (RERs) and Energy Storage Systems (ESSs), which has a significant impact on total operational cost. In this context, the first main objective of this article is to take a comprehensive review of the literature on REMS and examine closely all the works that have been carried out in this area, and also the REMS architecture and configurations are clarified as well. The secondary objective of this article is to analyze both traditional and modern methods utilized in REMS and conduct a thorough comparison of them. In order to provide a comprehensive analysis in this field, over 120 publications have been compiled, listed, and categorized. The study highlights the potential of leveraging RERs for cost reduction and sustainability. Evaluating factors including speed, simplicity, efficiency, accuracy, and ability to handle stochastic behavior and constraints, the strengths and limitations of each optimization method are elucidated