Search results

This study aims to investigate the effects of thermal–hydro interconnection on the revenues, market value and curtailment of variable renewable energy (VRE). The increasing market shares of VRE sources in the Northern European power system cause declining revenues for VRE producers, because of the merit-order effect. A sparsely studied flexibility measure for mitigating the drop in the VRE market value is increased interconnection between thermal- and hydropower-dominated regions.

A comprehensive partial equilibrium model with a high spatial and temporal resolution is applied for the analysis.

Model simulation results for 2030 show that thermal–hydro interconnection will cause exchange patterns that to a larger extent follow VRE production patterns, causing significantly reduced VRE curtailment. Wind value factors are found to decrease in the hydropower-dominated regions and increase in thermal power-dominated regions. Because of increased average electricity prices in most regions, the revenues are, however, found to increase for all VRE technologies. By only assuming the planned increases in transmission capacity, total VRE revenues are found to increase by 3.3 per cent and VRE electricity generation increases by 3.7 TWh.

The current study is, to the authors' knowledge, the first to analyze the effect of interconnection between thermal- and hydropower-dominated regions on the VRE market value, and the authors conclude that this is a promising flexibility measure for mitigating the value-drop of VRE caused by the merit-order effect. The study results demonstrate the importance of taking the whole power system into consideration when planning future transmission capacity expansions.

This paper aims to describe how, during the period after the scenarios have been sketched out but before the company leadership reaches the strategy‐development or investment‐decision stage, a continuous learning process can help planners and senior decision‐makers identify and track the unfolding events that are most relevant to the challenges and big issues facing their organization.

In the case example, a web‐connected Event, Pattern, Structure (EPS) tool allows all members of a multi‐stakeholder Scenario Planning Steering Group, as well as invited experts, to submit news articles, conference reports, research, scholarly articles and other published information into a database that is organized with links to four scenarios and their driving forces.

As the case demonstrates, an ongoing EPS process related to the scenarios and key drivers can support strategic monitoring of the business environment with the scenarios serving an organizing structure.

This continuous learning tool is particularly useful for companies that develop scenarios that evolve over long periods of time, a practice that is usually determined by the investment window or marketing cycle of an organization.

Research collected in the EPS system can be used to watch for developments that portend operating‐environment changes. Planners can generate early indicators that signal whether a particular scenario or trends within a scenario are emerging.

The purpose of this paper is to analyze the role of industrial self-supply in the transition process from centralized energy generation based on fossil fuels and nuclear power to decentralized supply based on renewable energies in the Bavarian electricity system.

To quantify effects on system and price stability, a model of the Bavarian electricity grid is created and used to simulate electricity system behavior during a 1-year period for scenarios that are characterized by parameter variations in industrial self-supply, nuclear power capacity, renewable power generation and the capacity of electricity imports.

The simulations show that industrial self-supply can reduce instances of maximum grid utilization by 23 per cent and, based on the merit-order effect, decrease electricity market prices by 1.90 and 5.03 €/MWh in the scenarios with and without nuclear power, respectively; these values represent 5.7 and 15.0 per cent of average market prices from 2014.

The analysis shows that industrial self-supply can contribute to transforming the electricity system in a secure, sustainable and affordable manner. However, merit-order-based price effects have a limitation concerning the future applicability of results as quantified effects may not be permanent when the electricity system adapts.

This paper connects industrial self-supply and the merit-order effect within a nodal energy model. It provides insights into the relevant interdependencies and reciprocal effects by means of a simulation.

Energy has a strategic role in the social and economic development of countries. Affordability, accessibility and availability of energy sources are the priorities of the governments in energy supply. Therefore, understanding the robustness of energy supply is an important subject of energy researchers and policymakers. This paper aims to analyze the robustness of the electricity system at the national level.

First, the strengths, weaknesses, opportunities and threats analysis is implemented for a selected case study. Then, the expert panel weighed the parameters’ effect on sustainable power generation, the survey is quantified using fuzzy logic. Finally, cross functional analysis is applied to evaluate the influence/dependence of the parameters.

The results show three determinant parameters which have the most influence on the system: fluctuations in oil prices, governmental acts and sanctions against the country. The most dependent parameters, as objectives variables, are the share of renewables and distributed generation (DG), system reliability, power generation diversity and transmission efficiency.

Using future studies methods in the energy level at the nation level has been done for the first time in the current work.

To achieve the optimum performance of electric transmission power system performance, the possibility of generators’ failure and the consequences are amongst the most important and real assumptions which should be taken into consideration. This paper aims to recognize the most influential factors on generators’ failures that can have a deep effect on the total cost and environmental issues. The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow.

The data used in this study are gathered from a real case in USA in first step, the influential generator points that their failure has a significant effect on the objective function, have been recognized. Then, different failure scenarios are defined, and the optimum values in each of these scenarios through the GAMS modeling software are found. Consequently, by using a two-level factorial design approach, the critical generators across the power grid are determined.

The results show that by using such information, it is possible to detect the significant nodes in the power system grid and have a better maintenance plan. In addition, by means of this analysis and changing the capacity of main generators, it is possible to significantly reduce the operation costs. By comparing the indexes in case of the generator’s location, it seems that some of them are critical because of their capacity and position in the network (as their failure causes infeasibility in the model). Also, some of these deficiencies caused considerable index changes and critical consequences.

The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow.

This paper endeavors to recognize the most influential factors on generators’ failures that can have a deep effect on the total cost and environmental issues.

The integrated proposed approach is useful for investigating the generators’ failure effects on the performance of electric power transmission grids from the economic and environmental perspectives. In other words, the cost and pollution minimization policies are considered to decrease the unfavorable generators’ failure effects on electric power flow.

The purpose of this study is to analyze the power market and greenhouse gas (GHG) emission effects of the joint Norwegian–Swedish tradable green certificates (TGCs) market, which is established to support investments according to a 26.4 TWh increased annual renewable electricity generation (REG) by 2020.

The study applies an energy system model with high granularity in time and space, and detailed power system data for the Nordic countries, Germany, The Netherlands and UK.

The results show that the TGC scheme will cause a 8.7-9.3 /MWh reduction in average electricity prices in the Nordic countries. The price decrease will to a limited extent pass through to Germany, The Netherlands and UK. When assuming a low carbon price level, the new REG will reduce annual GHG emissions by 10.9 Mtonnes in 2020, primarily through substitution of German natural gas power. A sensitivity analysis shows that the GHG emission effect of the TGCs is highly sensitive to changes in the carbon price. Investment levels up to a 90 TWh increased REG per year are found to cause increasing GHG emission reductions.

The study results signal the importance of taking the TGC policy into account in decision-making processes in the Northern European power system, in particular for market actors in the Nordic area. The authors conclude that the Nordic countries potentially can play a vital role in a future Northern European low carbon power system through export of green balancing power, substitution of thermal power and reduced GHG emissions from the Northern European power sector.

Energy systems are quickly in transition and their complexity has been dramatically increased. Although there are numerous studies and researches about future of energy in terms of technology or fuels, few studies have been done based on comprehensive socio-technical dimensions of energy systems’ futures. One key question to fill this gap is that how can we consider electricity as a sustainable common good/resource, beyond some conventional considerations related to public or private sector orientation? The purpose of this study is to find an acceptable answer for this question..

To achieve the purpose of this study, after reviewing some relevant studies, key effective factors on the future of energy have been recognized in an expert panel and structurally analyzed by Micmac software based on cross-impact analyze method. Thereafter, four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described based on scenario workshops method..

Four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described. These scenarios include “spider grid,” “local grid,” “intermediate grid” and “off-grid.” Furthermore, different dimensions of electricity as a common good/resource have been investigated. As a result, the authors find out that common resource is a creatable concept that can be referred to some goods depending on certain conditions.

Electricity, like any other resource with common characteristics, can be considered and treated as a common resource, depending on the way we generate, share and distribute it, ownership and property rights, management and decision-making mechanisms, social participation processes and governance criteria.

The electric power industry has been moving from a regulated monopoly structure to a deregulated market structure in many countries. The purpose of this study is to comprehensively review the existing markets to study advantages, issues involved and lessons learnt to benefit emerging electricity markets.

The paper employs a comprehensive review of existing competitive electricity market models in USA (California), UK, Australia, Nordic Countries (Norway), and developing country (Chile) to analyze the similarities, differences, weaknesses, and strengths among these markets based on publically available data, literature review and information.

Ongoing or forthcoming electricity sector restructuring activities in some countries can be better designed based on lessons learnt from existing markets and incorporating their own political, technical and economical contexts. A template for design of successful electricity market has also been presented.

This study is limited to a comparative analysis of five markets and can be extended in the future for other existing and emerging electricity markets.

The discussed weaknesses and strengths of existing electricity markets in this study can be practically utilized to improve the electricity industry market structures leading to several social benefits including lower electricity cost.

The comprehensive review and analysis of five existing markets, physically located in different continents, may be used as an assistance or reference guide to benefit the emerging electricity markets in other countries.

The purpose of this paper is to shed light to the concept of solar electricity transfer from North Africa to Europe in the frame of Article 9 of the European Renewable Energy Sources (EU-RES) Directive 28/2009/EC, to explain why efforts have not been successful up to now and to provide recommendations on how to proceed.

The authors have compared the “Supergrid” concept that was pursued by some institutions in the past years with the original “TRANS-CSP” concept developed by the German Aerospace Centre in 2006. From this analysis, the authors could identify not only major barriers but also possible ways towards successful implementation.

The authors found that in contrast to the Supergrid approach, the original concept of exporting dispatchable solar power from concentrating solar thermal power stations with thermal energy storage (CSP-TES) via point-to-point high voltage direct current (HVDC) transmission directly to European centres of demand could be a resilient business case for Europe–North Africa cooperation, as it provides added value in both regions.

The analysis has been made in the frame of the BETTER project commissioned by the Executive Agency for Competitiveness & Innovation in the frame of the program Intelligent Energy Europe.

One of the major implications found is that due to the time lost in the past years by following a distracted concept, the option of flexible solar power imports from North Africa to Europe is not any more feasible to become part of the 2020 supply scheme.

To make them a viable option for post-2020 renewable energy systems for electricity development in Europe, a key recommendation of the project is to elaborate a detailed feasibility study about concrete CSP-HVDC links urgently.

The analysis presented here is the first to give concrete recommendations for the implementation of such infrastructure.