Electricity market models, implemented as dynamic programming problems, have been applied widely to identify possible … pathways towards a cost-optimal and low carbon electricity system. However, the joint optimization of generation and … established electricity market models implemented in a linear programming environment that are suitable for solving large …

applicable to the German market (Europe's largest producer of renewable energy). For this evaluation, we have modelled the … renewable energy. These mechanisms generate RROs (real regulatory options) – not in the hands of the project's promoter – that … our paper can help policy makers to improve their policies to promote renewable energy. …

In most Western countries, the power grid provides electricity more than 99% of the time. To maintain reliability at … such high levels, energy companies have to continually invest in electric transmission- and distribution systems. Since … customers of electricity cannot switch from one distribution network to another, no economic incentive exists that matches the …

This paper investigates the relationship between absolute energy consumption and gross domestic product (GDP) per … capita for 113 countries over the period 1971–2004. Energy has been scarcely explored in the Environmental Kuznets curve (EKC … innovative. Firstly, in order to closely adhere to the EKC narratives, the indicator of environmental pressure (energy) is taken …

The advent of distributed renewable energy supply sources and storage systems has placed a greater degree of focus on … the operations of the LV (low voltage) electricity distribution network. However, LV networks are characterised by having … for forecasting next day demand in an LV network into a comprehensive distributed energy resource management algorithm. …

energy, and CO2 from power plants. The plant consists of a wind farm, a system of electrolyzers which produces oxygen and … electricity produced; 2.9 kg of CO2 per kg of CH4 produced can be reused by this process. …

This study uses an advanced airflow, energy and humidity modelling tool to evaluate the potential for residential … mechanical pre-cooling of building thermal mass to shift electricity loads away from the peak electricity demand period. The …-cooling is highly dependent on climate zone and the selected pre-cooling strategy. The expected energy trade-off between cooling …

To face winter electricity peaking issues the authors proposes an analysis of the potential of distributed gas … technologies for demand side management. This impact has to be analysed at small scale before any large scale extrapolation. Bi-energy … technologies (gas and electricity) are a path to transfer loads from one system to another. Indeed, the flexible gas infrastructure …

This paper sets forth a novel approach to calculate the levelized cost of electricity (LCOE) using a probabilistic …

Investment opportunities in electric power generation have changed dramatically since electricity industry …