Expansion Of Wind Power Research Articles

The chicken or the egg? Spillover between private climate action and climate policy support

People engage in many different activities with climate consequences, including mundane everyday activities, such as eating meals and either saving or throwing away leftovers, and collective actions, such as voting, participating in political events and in other ways expressing support for or resistance against climate-relevant policy. Does engaging in everyday climate-relevant activities have implications for support of climate policy, and vice versa, as suggested by research on pro-environmental behavioural spillover? A repeated survey was collected yearly between 2018 and 2022 from representative samples of Norwegians, most of whom participated in more than one survey. The surveys included self-reports about two everyday climate-relevant behaviours (eating red meat and discarding food waste) and the support for two types of policy to mitigate climate change (expansion of wind power and “carbon taxes” – the use of taxes or fees to regulate climate-relevant behaviour). Cross-lagged structural equation modelling of relationships between everyday climate-relevant behaviour and support for mitigation policy reveal that, as expected, all auto-regressive effects (of a latent variable on itself, measured one year apart) are highly significant. There are also significant, positive cross-lagged (i.e., spillover) effects, which are generally bigger between the two types of everyday behaviours and support for the two types of policies than between everyday behaviour and policy support. However, support for carbon taxes has a strong positive effect on reducing meat consumption. Hence, it appears that when it comes to climate actions, consumer and citizen roles are intertwined. Spillover effects are partly mediated through climate concern.

Cumulative collision risk and population-level consequences of industrial wind-power plant development for two vulture species: A quantitative warning

Prioritizing renewable energy generation over the conservation of natural habitats and species on a large spatial scale, leads to the paradox of impacting biodiversity to mitigate climate change. In this study, we aim at quantifying the long-term demographic impact of the excess mortality caused by collisions with wind turbines on the populations of two vulture species of conservation concern. Using long-term monitoring data and Integrated Population Models (IPMs), we quantified demographic parameters and projected population trends under various wind power development scenarios. Our findings indicate that even under our most optimistic scenarios, annual collision mortality could reach up to 30 % of the current Cinereous vulture population and 7 % of the Griffon vulture population. Without further wind power expansion, both vulture populations are predicted to remain stable or increase over the next 20 years. However, the addition of 85 wind turbines is likely to drive the Cinereous vulture to local extinction within 18 years and significantly slow the growth of the Griffon vulture population. Scenarios involving larger numbers of turbines could result in the extinction of both species within two to five years for Cinereous vultures and up to 20 years for Griffon vultures, depending on space use intensity. Our results underscore the vulnerability of long-lived species to excess mortality and highlight the need for comprehensive Environmental Impact Assessments (EIAs) that incorporate population dynamics analyses. Effective conservation strategies must include rigorous pre- and post-construction monitoring, the availability of monitoring data, and cumulative impact assessments that consider the entire foraging range of these species. Additionally, strategic planning to avoid critical vulture habitats and implementing mitigation measures in buffer zones are essential. This study emphasizes the necessity of integrating biodiversity considerations into renewable energy planning to balance the goals of energy production and wildlife conservation.

Swedish wind power expansion: Conflicting responsibilities between state and municipalities

Sweden has experienced two decades of wind power expansion and enters a broad diffusion phase. In this study the aim is to deepen the knowledge of the municipal role in this phase in relation to national wind power policy. Local public officials and politicians was interviewed in fourteen Swedish municipalities. The results show that municipal representatives experience great uncertainty about the responsibilities and incentives they have in the energy transition – responsibilities that are difficult to interpret but also difficult to realize in practice. In conclusion, unclear State policy, increased social resistance, lacking municipal capabilities, and a market-driven planning regime adds a burden of incongruous responsibility on municipalities, which risks enforcing uncertainties in the transition of the national energy system. The study brings socio-technical insight to the global expansion of renewable energy within decentralized political systems.

Techno-Economic Assessment of a Full-Chain Hydrogen Production by Offshore Wind Power

Offshore wind power stands out as a promising renewable energy source, offering substantial potential for achieving low carbon emissions and enhancing energy security. Despite its potential, the expansion of offshore wind power faces considerable constraints in offshore power transmission. Hydrogen production derived from offshore wind power emerges as an efficient solution to overcome these limitations and effectively transport energy. This study systematically devises diverse hydrogen energy supply chains tailored to the demands of the transportation and chemical industries, meticulously assessing the levelized cost of hydrogen (LCOH). Our findings reveal that the most cost-efficient means of transporting hydrogen to the mainland is through pipelines, particularly when the baseline distance is 50 km and the baseline electricity price is 0.05 USD/kWh. Notably, delivering hydrogen directly to the port via pipelines for chemical industries proves considerably more economical than distributing it to hydrogen refueling stations, with a minimal cost of 3.6 USD/kg. Additionally, we assessed the levelized cost of hydrogen (LCOH) for supply chains that transmit electricity to ports via submarine cables before hydrogen production and subsequent distribution to chemical plants. In comparison to offshore hydrogen production routes, these routes exhibit higher costs and reduced competitiveness. Finally, a sensitivity analysis was undertaken to scrutinize the impact of delivery distance and electricity prices on LCOH. The outcomes underscore the acute sensitivity of LCOH to power prices, highlighting the potential for substantial reductions in hydrogen prices through concerted efforts to lower electricity costs.

Low carbon scheduling method of electric power system considering energy-intensive load regulation of electrofused magnesium and wind powerfluctuation stabilization

The significant expansion of wind power has presented challenging obstacles to power system operation. The inherent stochasticity and variability of wind power have emerged as critical issues that impede the advancement of wind energy, affecting its integration and volatility control. Moreover, with the momentum of carbon peaking and carbon neutrality objectives, reducing CO2 emissions has become urgent. This study proposes a low-carbon dispatching methodology for power systems to address these challenges. It considers regulating energy-intensive loads of electrically fused magnesium and mitigating wind power fluctuations. The approach involves integrating electrically Fused magnesium loads with tight regulation characteristics on the demand side alongside thermal power plants to optimize the power grid and dispatch collectively. And battery energy storage devices are introduced into various wind power stations on the supply side to smooth out wind power fluctuations. The objective function aims to minimize the sum of the average variance of power fluctuations at all wind power busbars while adhering to constraints of maximum wind power consumption and minimum carbon emissions from thermal power plants. The problem is solved using genetic algorithms. Ultimately, we show how effective our proposed low-carbon dispatching method for power systems is, which deals with regulating energy-intensive loads of electrically fused magnesium and reducing wind power fluctuations. We demonstrate this through a case study of wind curtailment, CO2 emissions, wind power fluctuations, and other related parameters under different conditions. The approach can enhance renewable energy consumption, reduce carbon emissions, and mitigate the power fluctuations of renewable energy.

The impact of wind energy on plant biomass production in China

Global wind power expansion raises concerns about its potential impact on plant biomass production (PBP). Using a high-dimensional fixed effects model, this study reveals significant PBP reduction due to wind farm construction based on 2404 wind farms, 108,361 wind turbines, and 7,904,352 PBP observations during 2000–2022 in China. Within a 1–10 km buffer, the normalized differential vegetation and enhanced vegetation indices decrease from 0.0097 to 0.0045 and 0.0075 to 0.0028, respectively. Similarly, absorbed photosynthetically active radiation and gross primary productivity decline from 0.0094 to 0.0034% and 0.0003–0.0002 g*C/m2 within a 1–7 km buffer. Adverse effects last over three years, magnified in summer and autumn, and are more pronounced at lower altitudes and in plains. Forest carbon sinks decrease by 12,034 tons within a 0–20 km radius, causing an average economic loss of $1.81 million per wind farm. Our findings underscore the balanced mitigation strategies for renewable energy transition when transiting from fossil fuels.

Stability Analysis and Environmental Influence Evaluation on a Hybrid Mooring System for a Floating Offshore Wind Turbine

Floating offshore wind turbines (FOWTs) are one of the innovative solutions to achieve net-zero emissions. Given that Taiwan has abundant wind power resources in its western waters and wind farms are evaluated as potential sites, a strategic emphasis on the extensive expansion of wind power is imperative. This paper chooses four different designs of hybrid mooring systems, comparing them with the conventional pure chain mooring arrangement in shallow water regions in Taiwan through integrated numerical simulations, ANSYS AQWA, and Orcina OrcaFlex. The use of synthetic fiber ropes in hybrid moorings provides substantial economic and operational advantages, making them the preferred alternative to traditional chains in deepwater offshore renewable energy (ORE) mooring configurations. Hybrid mooring enables the FOWT to survive in extreme sea conditions and is presented as the ultimate limit state (ULS) and fatigue limit state (FLS). In addition, hybrid mooring not only reduces mooring line costs but also minimizes the footprint area on the seabed, enhancing economic competitiveness and optimizing marine space utilization. However, it increases the entanglement risk that may pose a potential threat to marine mammals. Building on prior research, this paper proposes a unique approach to calculate the mooring line swept volume, which is essential for entanglement assessment and marine spatial planning.

A multi-level discourse analysis of Swedish wind power resistance, 2009–2022

Wind power production is expanding globally and with this comes social resistance. In this article, we study controversies concerning the expansion of wind power in Sweden between 2009 and 2022. To this end, we study national press coverage and local press coverage from Sweden's 290 municipalities. Despite previous studies showing that Swedish people are generally in favour of expanding wind power, our results show that this policy is controversial and often is met with significant local resistance. We identify a clash between two environmental concerns: developing national policies to mitigate the effects of climate change and local opinions calling for the preservation of natural landscapes, which are often coupled with concerns about whether expansion of wind power leads to positive climate effects. We analyse national and local discourses through a multi-level governance perspective, a view that argues Sweden's market-oriented and decentralized wind power planning regime feeds the controversy. In conclusion, the dispersal of power throughout the planning system facilitates scaling up of local resistance to an energy policy issue of national concern, creating significant uncertainty about the expansion of wind power in Sweden.

Wind power expansion and regional allocative efficiency among fossil-fuel electricity generators

Integrating wind power demands more generation fleet flexibility and incurs more incidences of transmission congestion, which may impose a negative effect on how efficiently regional production is allocated among fossil fuel electricity generators (we call it “regional allocative efficiency”). Exploring exogenous variations in wind power generation conditional on wind turbine capacity, we analyze wind-induced allocative efficiency loss by comparing the average cost sensitivity of fossil-fuel generator utilization between periods of different wind generation levels in a US regional electricity market. Results show that the utilization of fossil fuel generators becomes less sensitive to their costs as the share of wind power increases. This effect is more pronounced when wind power is more volatile and when transmission capacity is less sufficient. The back-of-envelope calculation based on our empirical findings suggests that the private inefficiency cost is nontrivial: taking it into account would increase the levelized cost of wind energy by $12/MWh, amounting to approximately 17% of the traditional estimates. Further incorporating the social damage of carbon dioxide in the calculation implies that the privately inefficient substitution from cheap coal to expensive gas units instead brings a net social benefit; nonetheless, our estimated private cost is still policy-relevant since it is a local burden while the carbon abatement benefit is shared globally.

Evaluating emission reduction potential at the “30-60 Dual Carbon targets” over China from a view of wind power under climate change

Large-scale wind energy development is one of the main paths to achieving China's carbon peak and neutrality goals. How will the wind power and corresponding carbon abatement potential (CAP) in China change when China reaches the timing of its reduction carbon targets? This issue has not been well addressed. In this paper, a weighted multi-model ensemble with 14 global climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) is used to evaluate the spatio-temporal characteristics of wind speed over China during the baseline period (2004–2014). Then, we further analyze the changes in wind power and corresponding CAP due to the climate change over China in the two-level years (2030 and 2060) under the SSP2-4.5 and SSP5-8.5 scenarios. The results show that the wind capacity factor over China will have a trend of decreasing in most regions of China and increasing in the southeast in 2060. Overall, climate change will have a slight impact on the CAP of wind power in 2030, with an increase in some southern provinces. However, the CAP of wind power will decrease significantly in most regions of China in 2060 under the SSP2-4.5 scenario, especially in Shanxi, Inner Mongolia, Ningxia, and Liaoning, by more than 5 %. Under the SSP5-8.5 scenario, the CAP will decrease significantly in the southwest and northwest regions, such as Sichuan and Qinghai, by 9.86 % and 8.19 % respectively. Central and South provinces such as Hunan and Hubei will increase by about 5 %. In terms of seasonal changes, the CAP of wind power will decrease significantly in summer under the SSP2-4.5 scenario (about −5.24 %) and SSP5-8.5 scenario (about −6.50 %).These findings can help policymakers make decisions as they establish plans for wind power expansion while taking the effects of climate change into account as they work toward China's carbon neutrality goal.

One Price Fits All? On Inefficient Siting Incentives for Wind Power Expansion in Germany under Uniform Pricing

This paper evaluates investment incentives for wind power under two market designs: uniform and nodal pricing. An electricity system model is developed, that allows for investments in wind power capacities while carefully accounting for static transmission grid constraints. Wind power capacities are assumed to reach the same expansion target by 2030 under both market designs. The results show that the introduction of nodal prices leads to investments in wind power plants shifting to locations with lower wind yield. The amount of electricity fed into the grid from wind power plants, however, is higher under nodal pricing as curtailment is reduced by two-thirds. Furthermore, grid-optimal wind locations are shown to require higher direct subsidy payments but decrease yearly variable supply costs by 1.5% in 2030. Yet distributional effects present an obstacle to the introduction of a nodal pricing regime, with about 75% of German demand facing an increase in electricity costs of about 5%. To mitigate the distorted investment signals arising from uniform pricing regimes, restricting investments within grid expansion areas proves to be more promising than including latitude-dependent generator-component in the grid tariff design.

Evaluation of the reduction in greenhouse gas emissions attributable to wind energy: A retrospective evaluation of Indian Offshore and Coastal Site

This study assesses the possible reduction in carbon dioxide emissions brought on by the growth of wind power in India by developing offshore site. This study uses novel evolutionary algorithms and computational techniques to analyse wind potential on flat and offshore and sites. The wind data were recorded using remote sensing technique LiDAR (Light Detection and Ranging). This study employs the life cycle assessment (LCA) to quantify the atmospheric carbon emissions of offshore wind turbines, to understand and to guide policy regulatory for offshore wind energy, and future investment decisions for wind power expansion. Parameter estimates are used to compute wind densities. The study demonstrates that wind turbine lifespan and energy output have major effects on GHG (Green House Gas) emission, signifying that it is an efficient strategy to extend wind turbine lifetime and enhance wind turbine energy production to minimise wind turbine GHG emission intensity. Over the course of their lifetimes, offshore wind turbines emit 0.130 kg CO2-eq/MJ. Compared to coal power stations, wind turbines have significantly lower life-cycle GHG emission intensities. If wind turbines erected in 2014 supplant coal, the saved GHG emissions might equal 5.08 x 107t CO2-eq, or 0.09% of the global GHG emissions in 2021.

Probabilistic wind power expansion planning of bundled wind-thermal generation system with retrofitted coal-fired plants using load transfer optimization

The bundled wind-thermal generation system (BWTGS) is an attractive option to integrate wind energy to actively participate in power systems. With the greatly enhanced penetration of wind energy in BWTGS, wind curtailment against sharp wind power fluctuations is inevitable. Thus, our study is stimulated by whether and to what extent we can maximize wind power penetration with proper provision of dispatchable loads against wind curtailment, and this is exactly the problem we aim to solve in this paper. Here, we initially focus on the flexible characteristics of retrofitted coal-fired units in BWTGS and the load transfer optimization (LTO) for high voltage distribution networks (HVDNs). Then, an appropriate probabilistic wind power capacity expansion planning method for BWTGS with retrofitted coal-fired units using LTO can be reformulated as a mixed-integer second-order cone programming problem. Moreover, since load and wind power data have inherited uncertainty, we extend this proposed model to be a probabilistic expanding model. This contributes to better decision-making for the short-term wind capacity expansion under quantified uncertainty. Numerical results of the practical HVDNs demonstrate the effectiveness of the proposed method.

Exploration of NLM Based on MMC on Offshore Wind Power

Nowadays, the world is facing a common problem of resource scarcity, so the search for a new clean energy source is the trend of the future. China is rich in marine resources and is close to the centers of electricity consumption. Offshore wind power as a future clean energy source is thus a new avenue to pursue today. Now, one of the technical issues limiting the expansion of offshore wind power is the reliable and economical transmission of long-range electricity to onshore power grids. However, traditional high-voltage DC transmission is no longer suitable for large, long-distance offshore wind farms due to its economics, the difficulty of compensating for offshore reactive power, and the complexity of large-scale system coupling. The flexible HVDC transmission method based on MMC (Modular Multilevel Converter) has become the development direction for HVDC transmission due to its high output quality and economic advantages. MMC is the core device for flexible HVDC transmission. In order to improve the output voltage quality and ensure the stability of the transmission process, the selection of a suitable modulation method is a basic condition. Among the existing applied modulation methods, this paper took NLM (nearest level modulation) based on MMC as the research object. It was verified through principal analysis and simulation that this method could not only achieve multi-level output but also that the more sub-module (SM) investment, the higher the output waveform quality.

Variation-based complementarity assessment between wind and solar resources in China

The complementarity between wind and solar resources is considered one of the factors that restrict the utilization of intermittent renewable power sources such as these, but the traditional complementarity assessment rely on the strength of the negatively correlated variables and do not consider the scale of those different variables. To this end, we propose a novel variation-based complementarity metrics system based on the description of series’ fluctuation characteristics from quantitative and contoured dimensions. From this, the complementarity between wind and solar resources in China is assessed, and the trend and persistence are tested. Furthermore, the spatial compatibility between wind and solar resources and hydropower resources in China for supporting the expansion of wind and solar power is discussed. The results indicated that (1) there is a complementarity between wind and solar resources throughout China, and the regions rich in wind and solar resources, such as the northwest, north, and northeast of China, usually exhibit a strong complementarity; (2) the complementarity shows an increasing trend during 1961–2016 that was prominent in the northeast, northwest, north, and southwest of China; (3) the persistence or anti-persistence of the complementarity across China is weak, while in comparison, the complementarity in the northwest, northeast and southwest of China is more likely to continue to increase in the future; and (4) northwest China is the most suitable region to develop the hydro–wind–solar hybrid system. Although southwest China has the most abundant hydropower, the relatively low production efficiency and weak complementarity of wind and solar resources may restrict the scale of wind and solar power.

Balancing wind power deployment and sustainability objectives in Swedish planning and permitting

BackgroundWind power is a critical renewable energy technology in efforts to achieve the global climate targets. However, local impacts do occur, which demands careful consideration in planning and permitting. Sweden has set an ambition to triple land-based wind power by 2040, and municipalities play a key role in both the planning and permitting process, due to a planning monopoly and veto power in the permitting process. This calls for an investigation of Swedish wind power governance, with a particular focus on recent trends in municipal wind power planning, how wind power is balanced in relation to sustainability objectives in planning and permitting, and insights from practitioners regarding their capacities and drivers.ResultsThe results show that about two-thirds of Swedish municipalities have conducted wind power planning in some form, but this basis for decision-making has become outdated due to a lack of institutional capacity at the municipal level. Secondly, the study finds that many municipalities perceive that there are insufficient incentives for a continued wind power expansion. Lastly, the study sheds light on a large heterogeneity within wind power planning practice concerning how trade-offs between wind power deployment and other sustainability aspects are handled, as well as a lack of coherence between planning and permitting.ConclusionsIt is concluded that the current state of municipal wind power planning raises questions regarding the legitimacy of municipal decision-making in terms of perceived justice among local inhabitants and highlights the need for updated wind power plans. Moreover, to promote local acceptance in the future, formalised financial compensation and strategic initiatives that enable the localisation of electricity-intensive industry within municipalities with large-scale wind power production can be two key components. The results also highlight the need for additional support at the municipal level, including access to critical competence and relevant knowledge to enable trade-offs between the different sustainability considerations in an informed and balanced manner. Finally, regional dialogue with key actors, such as the military, Sami representatives and grid operators, would facilitate the handling of inter-municipal issues, in particular by fostering co-operation regarding inter-municipal wind sites.

Capacity factors for electrical power generation from renewable and nonrenewable sources

Given the dire consequences of climate change and the war in Ukraine, decarbonization of electrical power systems around the world must be accomplished, while avoiding recurring blackouts. A good understanding of performance and reliability of different power sources underpins this endeavor. As an energy transition involves different societal sectors, we must adopt a simple and efficient way of communicating the transition's key indicators. Capacity factor (CF) is a direct measure of the efficacy of a power generation system and of the costs of power produced. Since the year 2000, the explosive expansion of solar PV and wind power made their CFs more reliable. Knowing the long-time average CFs of different electricity sources allows one to calculate directly the nominal capacity required to replace the current fossil fuel mix for electricity generation or expansion to meet future demand. CFs are straightforwardly calculated, but they are rooted in real performance, not in modeling or wishful thinking. Based on the current average CFs, replacing 1 W of fossil electricity generation capacity requires installation of 4 W solar PV or 2 W of wind power. An expansion of the current energy mix requires installing 8.8 W of solar PV or 4.3 W of wind power.

Low-cost hydrogen in the future European electricity system – Enabled by flexibility in time and space

The present study investigates four factors that govern the ability to supply hydrogen at a low cost in Europe: the scale of the hydrogen demand; the possibility to invest in large-scale hydrogen storage; process flexibility in hydrogen-consuming industries; and the geographical areas in which hydrogen demand arises. The influence of the hydrogen demand on the future European zero-emission electricity system is investigated by applying the cost-minimising electricity system investment model eNODE to hydrogen demand levels in the range of 0–2,500 TWhH2. It is found that the majority of the future European hydrogen demand can be cost-effectively satisfied with VRE, assuming that the expansion of wind and solar power is not hindered by a lack of social acceptance, at a cost of around 60–70 EUR/MWhH2 (2.0–2.3 EUR/kgH2). The cost of hydrogen in Europe can be reduced by around 10 EUR/MWhH2 if the hydrogen consumption is positioned strategically in regions with good conditions for wind and solar power and a low electricity demand. The cost savings potential that can be obtained from full temporal flexibility of hydrogen consumption is 3-fold higher than that linked to strategic localisation of the hydrogen consumption. The cost of hydrogen per kg increases, and the value of flexibility diminishes, as the size of the hydrogen demand increases relative to the traditional demand for electricity and the available VRE resources. Low-cost hydrogen is, thus, achieved by implementing efficiency and flexibility measures for hydrogen consumers, as well as increasing acceptance of VRE.

Research on the interactive response relationship between thermal power carbon emission and industrial structure in Western China.

The thermal power industry takes the important social responsibility of energy conservation and environmental protection. The carbon emissions made by the thermal power industry are affected by the industrial structure. In this paper, the carbon emission of thermal power generation is divided into three links: energy combustion, desulfurization process, and power transportation. The total carbon emission of thermal power in 11 provinces in western China from 2000 to 2017 is calculated. Combined with industrial reform, this paper constructs a panel data fixed effect model to systematically analyze the interactive response relationship between thermal power carbon emission and industrial structure in the western region. The research shows that due to the continuous expansion of hydropower, wind power, and other new energy power generation scale and the improvement of energy efficiency in the western region, the growth trend of thermal power carbon emission has slowed down since 2010. The industrial development pattern is the main driving force of regional economic development, and the secondary industry in the western region is the main driving factor of thermal power carbon emission. High quality economic development in the western region can be promoted through technological upgrading, new energy development, and industrial multi-mode operation.

Dynamic land use implications of rapidly expanding and evolving wind power deployment

The expansion of wind power poses distinct and varied geographic challenges to a sustainable energy transition. However, current knowledge of its land use impacts and synergies is limited by reliance on static characterizations that overlook the role of turbine technology and plant design in mediating interactions with the environment. Here, we investigate how wind technology development and innovation have shaped landscape interactions with social and ecological systems within the United States and contribute to evolving land area requirements. This work assesses trends in key land use facets of wind power using a holistic set of metrics to establish an evidence base that researchers, technology designers, land use managers, and policymakers can use in envisioning how future wind-intensive energy systems may be jointly optimized for clean energy, social, and environmental objectives. Since 2000, we find dynamic land occupancy patterns and regional trends that are driven by advancing technology and geographic factors. Though most historical U.S. wind deployment has been confined to the temperate grassland biome in the nation’s interior, regional expansion has implicated diverse land use and cover types. A large percentage of the typical wind plant footprint (∼96% to 99%) is not directly impacted by permanent physical infrastructure, allowing for multiple uses in the spaces between turbines. Surprisingly, turbines are commonly close to built structures. Moreover, rangeland and cropland have supported 93.4% of deployment, highlighting potential synergies with agricultural lands. Despite broadly decreasing capacity densities, offsetting technology improvements have stabilized power densities. Land use intensity, defined as the ratio of direct land usage to lifetime power generation of wind facilities, has also trended downwards. Although continued deployment on disturbed lands, and in close proximity to existing wind facilities and other infrastructure, could minimize the extent of impacts, ambitious decarbonization trajectories may predispose particular biomes to cumulative effects and risks from regional wind power saturation. Increased land-use and sustainability feedback in technology and plant design will be critical to sustainable management of wind power.