Seasonal optimal mix of wind and solar power in a future, highly renewable Europe

Heide, Dominik; Bremen, Lueder von; Greiner, Martin; Hoffmann, Clemens; Speckmann, Markus; Bofinger, Stefan

doi:10.1016/j.renene.2010.03.012

Cited by 433 publications

(343 citation statements)

References 2 publications

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“…This way one creates a composite risk diversification strategy which takes into account not only the smoothing effect of geographical aggregation but also the fact that wind and solar energy typically have complementary profiles 2 . Despite the rela tively few research papers on the complementarity of wind and solar resources [10,11,20,29,34], little has yet been said as to how this meteorological pattern can been utilized in the decision making process in particular, when it comes to reducing the risk of renewable energy supply. This paper attempts to fill in this literature gap, by presenting a portfolio based strategy for the optimal exploitation of wind and solar resources.…”

Section: Introductionmentioning

confidence: 99%

Optimal management of wind and solar energy resources

Τhomaidis

Santos-Alamillos

Pozo-Vázquez

et al. 2016

Computers & Operations Research

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a b s t r a c tThis paper presents a portfolio based approach to the harvesting of renewable energy (RE) resources. Our examined problem setting considers the possibility of distributing the total available capacity across an array of heterogeneous RE generation technologies (wind and solar power production units) being dispersed over a large geographical area. We formulate the capacity allocation process as a bi objective optimization problem, in which the decision maker seeks to increase the mean productivity of the entire array while having control on the variability of the aggregate energy supply. Using large scale optimization techniques, we are able to calculate to an arbitrary degree of accuracy the complete set of Pareto optimal configurations of power plants, which attain the maximum possible energy delivery for a given level of power supply risk. Experimental results from a reference geographical region show that wind and solar resources are largely complementary. We demonstrate how this feature could help energy policy makers to improve the overall reliability of future RE generation in a properly designed risk management framework.

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Section: Introductionmentioning

confidence: 99%

Optimal management of wind and solar energy resources

Τhomaidis

Santos-Alamillos

Pozo-Vázquez

et al. 2016

Computers & Operations Research

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“…The backup power requirement was quantified as a function of grid extensions and storage capacity. This analysis was undertaken using annual wind and PV generation profiles predicted at optimal shares of wind and PV (i.e., 65% and 35%, respectively) to minimize the distance to the load, as determined in [103]. The total power system cost per energy unit, including renewable fluctuating and backup power, grid transmission/distribution, storage and re-electrification costs were compared for three storage options, namely pumped hydro storage, batteries or power-to-methane for re-electrification.…”

Section: European Unionmentioning

confidence: 99%

A Review of Projected Power-to-Gas Deployment Scenarios

Eveloy

Gebreegziabher

2018

Energies

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Technical, economic and environmental assessments of projected power-to-gas (PtG) deployment scenarios at distributed-to national-scale are reviewed, as well as their extensions to nuclear-assisted renewable hydrogen. Their collective research trends, outcomes, challenges and limitations are highlighted, leading to suggested future work areas. These studies have focused on the conversion of excess wind and solar photovoltaic electricity in European-based energy systems using low-temperature electrolysis technologies. Synthetic natural gas, either solely or with hydrogen, has been the most frequent PtG product. However, the spectrum of possible deployment scenarios has been incompletely explored to date, in terms of geographical/sectorial application environment, electricity generation technology, and PtG processes, products and their end-uses to meet a given energy system demand portfolio. Suggested areas of focus include PtG deployment scenarios: (i) incorporating concentrated solar-and/or hybrid renewable generation technologies; (ii) for energy systems facing high cooling and/or water desalination/treatment demands; (iii) employing high-temperature and/or hybrid hydrogen production processes; and (iv) involving PtG material/energy integrations with other installations/sectors. In terms of PtG deployment simulation, suggested areas include the use of dynamic and load/utilization factor-dependent performance characteristics, dynamic commodity prices, more systematic comparisons between power-to-what potential deployment options and between product end-uses, more holistic performance criteria, and formal optimizations.

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“…Some studies seek to minimize 'curtailment' when optimizing the deployment of variable renewables and integration measures like storage and transmission grids (Heide et al 2010, Bode 2013). However, an economic evaluation needs to consider costs.…”

Section: B) Implications For Indicators and Multi-sector Modelsmentioning

confidence: 99%

Why Wind is Not Coal: On the Economics of Electricity

2014

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-The economics of electricity is shaped by its physics. A well know example is the non-storability of electricity that cause its price to fluctuate widely. More generally, physical constraints cause electricity to be a heterogeneous good along three dimensions -time, space, and lead-time. Consequently, different generation technologies, such as coal and wind power, produce different economic goods that have a different marginal economic value. Welfare maximization or competitiveness analyses that ignore heterogeneity deliver biased estimates. This paper provides an analytical welfare-economic framework that accounts for heterogeneity for unbiased assessments of power generators. The framework offers a rigorous interpretation of commonly used cost indicators such as 'levelized electricity costs' and 'grid parity'. Heterogeneity is relevant for all generators, but especially for variable renewables such as wind and solar power. We propose a definition of 'variability', derive the opportunity costs of variability, and link that concept to the 'integration cost' literature. A literature review shows that variability can reduce the value of wind power by 20-50%. Thus it is crucial that economic analysis accounts for the physics of electricity.

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Seasonal optimal mix of wind and solar power in a future, highly renewable Europe

Cited by 433 publications

References 2 publications

Optimal management of wind and solar energy resources

Optimal management of wind and solar energy resources

A Review of Projected Power-to-Gas Deployment Scenarios

Why Wind is Not Coal: On the Economics of Electricity

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