Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany

Lehneis, Reinhold; Thrän, Daniela

doi:10.3390/en16073239

Cited by 4 publications

(3 citation statements)

References 30 publications

(66 reference statements)

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“…Sustainability has not been consistently applied to all aspects of wind energy. Given the significant capital investment and large-scale production involved in Wind Turbine Generators (WTG) [10], the scientific community has focused its efforts on applying sustainability criteria to the design and location of wind farms [11][12][13][14], as well as the positioning and design of WTGs [15][16][17]. Over the past decades, sustainability has conventionally been evaluated in terms of the environmental impacts derived from human actions.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Design of Onshore Wind Turbine Foundations

Masanet,

Navarro,

Collado

et al. 2024

J. Phys.: Conf. Ser.

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In recent times, wind power has emerged as a prominent contributor to electricity production. Minimizing the costs and maximizing sustainability of wind energy is required to improve its competitiveness against other non-renewable energy sources. This communication offers a practical approach to assess the sustainability of wind turbine generator foundations from a 3-dimensional holistic point of view. Specifically, the main goal of this study is to analyse the life cycle impacts of one shallow foundation design comparing three different concrete alternatives: conventional concrete, concrete with 66-80% of blast furnace slags and concrete with 20% fly ash, and then to apply a Multi-Criteria Decision-Making model based on TOPSIS method to evaluate and compare the resulting sustainability of each alternative considered. The study results in a methodology for quantifying sustainability rather than simply qualifying it. Therefore, this methodology can be employed for design optimization, such as geometry and materials, with a sustainable perspective in mind. Specifically in this study, concrete with blast furnace slags emerges as the top-ranked sustainable alternative, followed by conventional concrete in second place, and fly ash option in third position.

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Section: Introductionmentioning

confidence: 99%

Sustainable Design of Onshore Wind Turbine Foundations

Masanet,

Navarro,

Collado

et al. 2024

J. Phys.: Conf. Ser.

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“…Sadr et al [14] demonstrate that by incorporating daily temporal resolution for agricultural residues and energy crops, we can endogenously account for the availability of processing facilities. Lehneis and Thrän [15] and Lehneis et al [16,17] also developed simulation models, the so-called ReSTEP models where ReSTEP stands for Renewable Spatial-Temporal Electricity Production, to enhance the spatial and temporal resolution of the electricity generated from wind turbines and photovoltaic (PV) systems considering detailed plant and weather data.…”

Section: Introductionmentioning

confidence: 99%

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

et al. 2023

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While storytelling and visualization have always been recognized as invaluable techniques for imparting knowledge across generations, their importance has become even more evident in the present information age as the abundance of complex data grows exponentially. These techniques can simplify convoluted concepts and communicate them in a way to be intelligible for diverse audiences, bringing together heterogeneous stakeholders and fostering collaboration. In the field of energy and climate research, there is an increasing demand to make sophisticated models and their outcomes explainable and comprehensible for an audience of laypersons. Unfortunately, traditional tools and methods may be inefficient to provide meaning for input and output values; therefore, in this study, we employ a storytelling tool, the so-called Academic Presenter, to digest various datasets and visualize the extended BioENergy OPTimization model (BENOPTex) outcomes in different online and offline formats. The developed tool facilitates communications among collaborators with a broad spectrum of backgrounds by transforming outcomes into visually appealing stories. Although this study focuses on designing an ideal user interface for BENOPTex, the developed features and the learned lessons can be replicated for other energy system models.

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“…The reasons for decreasing power outputs are deteriorating component reliability, aerodynamic and mechanical efficiency losses, and more downtime. The wind turbine power curve considers all components influencing wind turbine performance, as it defines the relationship between the wind turbine power output or capacity factor, and wind speed [25,26]. The main features of a power curve are the cut-in speed, rated speed, and cut-out speed.…”

Section: Introductionmentioning

confidence: 99%

Reasons for the Recent Onshore Wind Capacity Factor Increase

Jung

Schindler

2023

Energies

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Increasing wind capacity and capacity factors (CF) are essential for achieving the goals set by the Paris Climate Agreement. From 2010–2012 to 2018–2020, the 3-year mean CF of the global onshore wind turbine fleet rose from 0.22 to 0.25. Wind turbine siting, wind turbine technology, hub height, and curtailed wind energy are well-known CF drivers. However, the extent of these drivers for CF is unknown. Thus, the goal is to quantify the shares of the four drivers in CF development in Germany as a case. Newly developed national power curves from high-resolution wind speed models and hourly energy market data are the basis for the study. We created four scenarios, each with one driver kept constant at the 2010–2012 level, in order to quantify the share of a driver for CF change between 2010–2012 and 2019–2021. The results indicated that rising hub heights increased CF by 10.4%. Improved wind turbine technology caused 7.3% higher CF. However, the absolute CF increase amounted to only 11.9%. It is because less favorable wind turbine sites and curtailment in the later period moderated the CF increase by 2.1% and 3.6%, respectively. The drivers are mainly responsible for perennial CF development. In contrast, variations in wind resource availability drive the enormous CF inter-annual variability. No multi-year wind resource change was detected.

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Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany

Cited by 4 publications

References 30 publications

Sustainable Design of Onshore Wind Turbine Foundations

Sustainable Design of Onshore Wind Turbine Foundations

Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study

Reasons for the Recent Onshore Wind Capacity Factor Increase

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