Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves

Ueckerdt, Falko; Brecha, Robert J.; Luderer, Gunnar; Sullivan, Patrick; Schmid, Eva; Bauer, Nico; Böttger, Diana; Pietzcker, Robert

doi:10.1016/j.energy.2015.07.006

Cited by 81 publications

(48 citation statements)

References 40 publications

(74 reference statements)

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“…This is a major achievement when 549 compared to the level of non-dispatchable renewable energy contribution in present cases which will be around 20-550 30% [49] in direct integration to grid. This clearly demonstrates the potential of electrical hub to integrate non-551 dispatchable renewable energy sources.…”

Section: Lec-giigmentioning

confidence: 99%

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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9A paradigm change in energy system design tools, energy market, and energy policy is required to attain the target 10 levels in renewable energy integration and in minimizing pollutant emissions in power generation. Integrating non-11 dispatchable renewable energy sources such as solar and wind energy is vital in this context. Distributed generation 12 has been identified as a promising method to integrate Solar PV (SPV) and wind energy into grid in recent literature. 13Distributed generation using grid-tied electrical hubs, which consist of Internal Combustion Generator (ICG), non-14 dispatchable energy sources (i.e., wind turbines and SPV panels) and energy storage for providing the electricity 15 demand in Sri Lanka is considered in this study. A novel dispatch strategy is introduced to address the limitations in 16 the existing methods in optimizing grid-integrated electrical hubs considering real time pricing of the electricity grid 17 and curtailments in grid integration. Multi-objective optimization is conducted for the system design considering 18 grid integration level and Levelized Energy Cost (LEC) as objective functions to evaluate the potential of electrical 19 hubs to integrate SPV and wind energy. The sensitivity of grid curtailments, energy market, price of wind turbines 20 and SPV panels on Pareto front is evaluated subsequently. Results from the Pareto analysis demonstrate the potential 21 of electrical hubs to cover more than 60% of the annual electricity demand from SPV and wind energy considering 22 stringent grid curtailments. Such a share from SPV and wind energy is quite significant when compared to direct 23 grid integration of non-dispatchable renewable energy technologies. 24

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Section: Lec-giigmentioning

confidence: 99%

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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“…Figure 9 illustrates the theoretical short-term and seasonal curtailment that would occur in the absence of the deployment of storage and/or H 2 electrolysis for the VRE shares in each decade of the Baseline and Tax30 scenarios. Theoretical total curtailment remains below 4% of VRE generation in the baseline, but increases from 8% to 22% of VRE generation in Tax30 13 . Figure 9 also indicates the electricity input to H 2 electrolysis and electricity storage technologies and represents the curtailed electricity that is avoided through the use of these technologies.…”

Section: Vre Curtailmentmentioning

confidence: 99%

“…In addition, the approach is limited to wind generation and is not differentiated by region. Ueckerdt et al proposes the use of residual load duration curves (RLDCs) 1 to quantify the structural changes and curtailment impacts associated with VRE deployment [12,13]. RLDCs represent the duration of residual load within a region that must be met by non-VRE power sources and thus can be used to estimate the capacity value of VRE technologies, the amount of VRE curtailment, and the impacts on non-VRE plant utilization as the share of VRE increases.…”

Section: Introductionmentioning

confidence: 99%

A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system

et al. 2017

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In many climate change mitigation scenarios, integrated assessment models of the energy and climate systems rely heavily on renewable energy technologies with variable and uncertain generation, such as wind and solar PV, to achieve substantial decarbonization of the electricity sector. However, these models often include very little temporal resolution and thus have difficulty in representing the integration costs that arise from mismatches between electricity supply and demand. The global integrated assessment model, MESSAGE, has been updated to explicitly model the trade-offs between variable renewable energy (VRE) deployment and its impacts on the electricity system, including the implications for electricity curtailment, backup capacity, and system flexibility. These impacts have been parameterized using a reduced-form approach, which allows VRE integration impacts to be quantified on a regional basis. In addition, thermoelectric technologies were updated to include two modes of operation, baseload and flexible, to better account for the cost, efficiency, and availability penalties associated with flexible operation. In this paper, the modeling approach used in MESSAGE is explained and the implications for VRE deployment in mitigation scenarios are assessed. Three important stylized facts associated with integrating high VRE shares are successfully reproduced by our modeling approach: (1) the significant reduction in the utilization of non-VRE power plants; (2) the diminishing role for traditional baseload generators, such as nuclear and coal, and the transition to more flexible technologies; and (3) the importance of electricity storage and hydrogen electrolysis in facilitating the deployment of VRE.

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“…Those aspects that can be directly represented could be exempt from the System LCOE metric. For example, an explicit representation of residual load duration curves can be complemented with parameterizations of grid and balancing costs (Ueckerdt et al 2014). The following section suggests approaches of how to estimate the necessary parameter values.…”

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confidence: 99%

Why Wind Is Not Coal: On the Economics of Electricity Generation

Hirth¹,

Ueckerdt²,

Edenhofer³

2016

The Energy Journal

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Electricity is a paradoxical economic good: it is highly homogeneous and heterogeneous at the same time. Electricity prices vary dramatically between moments in time, between location, and according to lead-time between contract and delivery. This three-dimensional heterogeneity has implication for the economic assessment of power generation technologies: different technologies, such as coalfired plants and wind turbines, produce electricity that has, on average, a different economic value. Several tools that are used to evaluate generators in practice ignore these value differences, including "levelized electricity costs", "grid parity", and simple macroeconomic models. This paper provides a rigorous and general discussion of heterogeneity and its implications for the economic assessment of electricity generating technologies. It shows that these tools are biased, specifically, they tend to favor wind and solar power over dispatchable generators where these renewable generators have a high market share. A literature review shows that, at a wind market share of 30-40%, the value of a megawatt-hour of electricity from a wind turbine can be 20-50% lower than the value of one megawatt-hour as demanded by consumers. We introduce "System LCOE" as one way of comparing generation technologies economically.

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Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves

Cited by 81 publications

References 40 publications

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system

Why Wind Is Not Coal: On the Economics of Electricity Generation

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