Suchergebnisse

"Verschiedene Ansätze zur Energiesicherheit, wie strategische/ geopolitische Faktoren oder die regulierenden Kräfte des Marktes, sollten nicht als sich gegenseitig ausschließend betrachtet werden, sondern vielmehr als komplementäre Strategien." (Autorenreferat)

To mitigate Climate Change and reduce greenhouse gas emissions, Europe is currently the World leader for exploiting one of the most significant sources of global untapped renewable energy; energy from our oceans. Within Europe, the UK is foremost to establish a sustainable marine energy industry, through research, development and supply chain growth. This article will examine the Skills and Training Needs Analysis work undertaken by Swansea University, to provide training courses designed to grow the marine energy supply chain within Wales and thus support and sustain Europe's leading status.

There are various options and instruments to ensure energy security, which is very important in terms of accepting energy efficiency as a source of supply and implementing an innovative political perspective. When energy efficiency practices are supported by relatively rich renewable energy resources, it will be possible to reduce the energy import bill. In this process, coal, and nuclear options, as well as renewable energy, may play a prominent role on the supply side. In this context, the necessity of a well-functioning legal system, an independent decision-making authority, and a well-developed accountability institution to make the necessary investments remains important. In integrated cooperation with artificial intelligence, the internet of things, and machine learning technologies, it is possible to store, process, and manage data, which creates energy supply security, with less time and cost. Advanced technology continues to permeate every aspect of the modern world, and the energy industry is no exception. Artificial intelligence has all the capabilities that can radically change or even revolutionize the energy industry. This study predicts that in the near future AI will go from being a useful technological marvel to being the most influential decision-maker in the energy industry.

Small decentralized power generation units (DG) are politically promoted because of their potential to reduce GHG-emissions and the existing dependency on fossil fuels. A long term goal of this promotion should be the creation of a level playing field for DG and conventional power generation. Due to the impact of DG on the electricity grid infrastructure, future regulation should consider the costs and benefits of the integration of decentralized energy generation units. Without an adequate consideration, the overall costs of the electricity generation system will be unnecessarily high. The present paper analyses, based on detailed modelling of decentralized demand and supply as well as of the overall system, the marginal costs or savings resulting from decentralized production. Thereby particular focus is laid on taking adequately into account the stochasticity both of energy demand and energy supply. An efficient grid pricing system should then remunerate long-term grid cost savings to operators of decentralized energy production or/and charge long-term additional grid costs to these operators. With detailed models of decentralized demand and supply as well as the overall system, the marginal costs or savings resulting from decentralized production are determined and their dependency on characteristics of the grid and of the decentralized supply are discussed.

During a period of transition towards decarbonised energy networks, maintaining a reliable and secure energy supply whilst increasing efficiency and reducing cost will be key aims for all energy supply chain (ESC) networks. Renewable energy sources, such as biomass, will play an important role in future ESCs as climate change mitigation becomes an increasingly important priority. This paper seeks to address these requirements by presenting an optimisation model for the design and planning of biomass integration into the ESC networks. A supply chain model was derived and the governing equations were solved using the General Algebraic Modelling System software (GAMS) to achieve an optimal solution. The results of the study indicate that a reduction in the emissions cost of up to 4.32% is achievable on integration of 5–8% of biomass into the ESC network. However, a 4.57% increase in the total cost of the ESC network was recorded at the biomass fraction in the mixed fuel of 7.9%, with the fixed assets cost having the largest impact on the total cost of the ESC network. It has been shown that the cost increment in the assets and operational costs of a biomass and coal co-fired combined heat and power plant can be offset by the cost reductions obtained from reduced carbon dioxide emissions. Economic arguments for dual-fuel plants, therefore, require the introduction of effective carbon pricing legislation. It is concluded that such policy implementations can be effective at mitigating the effects of climate change and would assist in achieving a global carbon neutral economy.