The strong effect of network resolution on electricity system models with high shares of wind and solar

Frysztacki, Martha; Hörsch, Jonas; Hagenmeyer, Veit; Brown, Tom

doi:10.1016/j.apenergy.2021.116726

Cited by 67 publications

(31 citation statements)

References 46 publications

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“…For example, the solar PV capacity difference between the two set-ups exceeded 32 GW, or 10% of the total installed capacity for this technology. In a more recent assessment, Frysztacki et al [22] evaluate the role of highresolution RES siting in a study focusing on the European power system. They confirm the findings of [21] regarding the considerable impact of RES representation on the installed capacity requirements and, in addition, point out that modelling RES via 1024 different profiles leads to 10.5% lower system costs compared to more simplified set-ups using only 37 distinct profiles (i.e., one per country) per renewable resource.…”

Section: Related Workmentioning

confidence: 99%

Assessing the impact of offshore wind siting strategies on the design of the European power system

et al. 2022

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This paper provides a detailed account of the impact of different offshore wind siting strategies on the design of the European power system. To this end, a two-stage method is proposed. In the first stage, a highly-granular siting problem identifies a suitable set of sites where offshore wind plants could be deployed according to a pre-specified criterion. Two siting schemes are analysed and compared within a realistic case study. These schemes essentially select a pre-specified number of sites so as to maximize their aggregate power output and their spatiotemporal complementarity, respectively. In addition, two variants of these siting schemes are provided, wherein the number of sites to be selected is specified on a country-by-country basis rather than Europe-wide. In the second stage, the subset of previously-identified sites is passed to a capacity expansion planning framework that sizes the power generation, transmission and storage assets that should be deployed and operated in order to satisfy pre-specified electricity demand levels at minimum cost. Results show that the complementarity-based siting criterion leads to system designs which are up to 5% cheaper than the ones relying on the power output-based scheme when offshore wind plants are deployed with no consideration for country-based deployment targets. On the contrary, the power output-based scheme leads to system designs which are consistently 2% cheaper than the ones leveraging the complementarity-based siting strategy when such constraints are enforced. The robustness of the reported results is supported by a sensitivity analysis on offshore wind capital expenditure and inter-annual weather variability, respectively.

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Section: Related Workmentioning

confidence: 99%

Assessing the impact of offshore wind siting strategies on the design of the European power system

et al. 2022

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“…Simulation is run at hourly time step and a MILP optimization is performed for minimizing the life-cycle cost of the whole system. Also, Frysztacki et al [20] have analyzed the effect of network and resource resolution on the PyPSA-Eur model of the European electricity system, when considering high shares of wind and solar energy. The model is run at 3-hourly temporal resolution, and the objective is to minimize investments and operation costs for wind, solar, open cycle gas turbines, batteries, hydrogen storage and transmission.…”

Section: Re Planning and Spatiotemporal Modeling: A Literature Reviewmentioning

confidence: 99%

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Pillot¹,

Al-Kurdi²,

Gervet³

et al. 2021

Applied Energy

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“…Gonzalez et al (2020); Bloomfield et al (2020a)). These datasets are also mostly limited to national-scale reconstructions, which previous work has shown can lead to sub-optimal investment decisions for wind and solar generation within capacity expansion modelling (Frysztacki et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively they lacked finer spatial resolution than national level. Having sub-national data allows for a more accurate representation of within-country flows, sensitivity analysis on future renewable generation locations, and other useful information for cost optimisation modelling (Frysztacki et al, 2021). We note the useful work of Bartok et al (2019) which processed meteorological variables from EURO-CORDEX (Jacob et al, 2014) simulations for use in energy modelling.…”

Section: Introductionmentioning

confidence: 99%

Hourly historical and near-future weather and climate variables for energy system modelling

Bloomfield

Brayshaw

Deakin

et al. 2022

Preprint

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Abstract. Energy systems are becoming increasingly exposed to the impacts of weather and climate due to the uptake of renewable generation and the electrification of the heat and transport sectors. The need for high-quality meteorological data to manage present and near-future risks is urgent. This paper provides a comprehensive set of multi-decadal, time series of hourly meteorological variables and weather-dependent power systems components for use in the energy systems modelling community. Despite the growing interest in the impacts of climate variability and climate change on energy systems over the last decade, it remains rare for multi-decadal simulations of meteorological data to be used within detailed simulations. This is partly due to computational constraints, but also due to technical barriers limiting the use of meteorological data by non-specialists. This paper presents a new European level dataset which can be used to investigate the impacts of climate variability and climate change on multiple aspects of near-future energy systems. The datasets correspond to a suite of well-documented, easy-to-use, self-consistent hourly- nationally-aggregated and sub-national time series for 2 m temperature, 10 m wind speed, 100 m wind speed, surface solar irradiance, wind power capacity factor, solar power factor and degree days spanning over 30 European countries. This dataset is available for the historical period (1950–2020), and is accessible from https://researchdata.reading.ac.uk/id/eprint/321 with reserved DOI: http://dx.doi.org/10.17864/1947.000321 (Bloomfield and Brayshaw, 2021b). As well as this a companion dataset is created where the ERA5 reanalysis is adjusted to represent the impacts of near-term climate change (centred on the year 2035) based on five high resolution climate model simulations. This data is available for a 70 year period for central and Northern Europe. The data is accessible from https://researchdata.reading.ac.uk/id/eprint/331 with reserved DOI: http://dx.doi.org/10.17864/1947.000331 (Bloomfield and Brayshaw, 2021a). To the authors’ knowledge, this is the first time a comprehensive set of high quality hourly time series relating to future climate projections has been published, which is specifically designed to support the energy sector. The purpose of this paper is to detail the methods required for processing the climate model data and illustrate the importance of accounting for climate variability and climate change within energy system modelling from sub-national to European scale. While this study is therefore not intended to be an exhaustive analysis of climate impacts, it is hoped that publishing this data will promote greater use of climate data within energy system modelling.

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The strong effect of network resolution on electricity system models with high shares of wind and solar

Cited by 67 publications

References 46 publications

Assessing the impact of offshore wind siting strategies on the design of the European power system

Assessing the impact of offshore wind siting strategies on the design of the European power system

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Hourly historical and near-future weather and climate variables for energy system modelling

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