Integration of Renewable Energy into Present and Future Energy Systems

Sims, Ralph; Mercado, Pedro; Krewitt, Wolfram; Bhuyan, G.S.; Flynn, Damian; Holttinen, Hannele; Jannuzzi, Gilberto De Martino; Khennas, Smail; Liu, Yongqian; Nilsson, Lars J; Ogden, Joan M.; Ogimoto, Kazuhiko; O’Malley, Mark; Outhred, Hugh; Ulleberg, Øystein; Hulle, Frans Van

doi:10.1017/cbo9781139151153.012

Cited by 61 publications

(50 citation statements)

References 272 publications

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“…-Data-driven numerical models provide important guidelines for the design of a future sustainable energy system, which presumably will depend on renewable power generation from wind and solar [1]. Given the spatial heterogeneity of weather patterns, the efficient exploitation of locations with favorable renewable resource quality calls for a high spatial resolution in the respective models.…”

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confidence: 99%

Scaling of transmission capacities in coarse-grained renewable electricity networks

Schäfer

Siggaard

Zhu

et al. 2017

EPL

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Network models of large-scale electricity systems feature only a limited spatial resolution, either due to lack of data or in order to reduce the complexity of the problem with respect to numerical calculations. In such cases, both the network topology, the load and the generation patterns below a given spatial scale are aggregated into representative nodes. This coarse-graining affects power flows and thus the resulting transmission needs of the system. We derive analytical scaling laws for measures of network transmission capacity and cost in coarse-grained renewable electricity networks. For the cost measure only a very weak scaling with the spatial resolution of the system is found. The analytical results are shown to describe the scaling of the transmission infrastructure measures for a simplified, but data-driven and spatially detailed model of the European electricity system with a high share of fluctuating renewable generation.

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confidence: 99%

Scaling of transmission capacities in coarse-grained renewable electricity networks

Schäfer

Siggaard

Zhu

et al. 2017

EPL

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“…'Capacity credit' is often defined as the share of installed capacity that can be regarded as 'firm', or permanently available (Perez et al 2008, Ensslin et al 2008, Amelin 2009, Keane et al 2011, Sims et al 2011, Madaeni et al 2012. While this metric might be relevant for system operators to estimate the demand for peak generation capacity, it is an incomplete indicator for welfare analysis.…”

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

confidence: 99%

“…The economic impact of these properties has been assessed, but such assessments has lacked welfare-economic interpretation (Sims et al 2011, IEA 2011, see also section 7b). VRE's three properties correspond to the three dimensions of electricity's heterogeneity (Table 3).…”

Section: C) Three Characteristics Of Vrementioning

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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“…However, the economic viability is still far from being made secure (Halog and Manik, 2011;Sims et al, 2011;De Gorter and Just, 2010;Demirbas, 2009).…”

Section: Introductionmentioning

confidence: 99%

Study of the current incentive rules and mechanisms to promote biofuel use in the EU and their possible application to the civil aviation sector

Noh

Benito

Alonso

2016

Transportation Research Part D: Transport and Environment

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This paper deals with the need of introducing biofuels for the use of the civil aviation sector, and the different possibilities of application of incentive mechanisms if the existing market conditions do not allow their direct commercialisation. After an introduction on the main features of the civil aviation impact on climate change, a historical review of the European Union regulations to promote the energy extraction from biological resources is presented. The different incentive policies around the world are revised and compared and some indications are offered on the most recommendable procedures that might be carried out in the near future.

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Integration of Renewable Energy into Present and Future Energy Systems

Cited by 61 publications

References 272 publications

Scaling of transmission capacities in coarse-grained renewable electricity networks

Scaling of transmission capacities in coarse-grained renewable electricity networks

Why Wind is Not Coal: On the Economics of Electricity

Study of the current incentive rules and mechanisms to promote biofuel use in the EU and their possible application to the civil aviation sector

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