Enrico G. A. Antonini

Enrico G. A. Antonini
Carnegie Institution for Science · Department of Global Ecology

PhD in Mechanical and Industrial Engineering

About

20
Publications
4,378
Reads
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189
Citations
Citations since 2016
18 Research Items
185 Citations
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Introduction
My research interests lie at the intersection of wind energy, fluid dynamics and computational science with the goal of advancing the knowledge of wind turbine aerodynamics, creating new design frameworks for the wind turbine industry, and understanding the physics of large-scale wind power extraction. If you would like a copy of one of my papers, please message me or send an email to eantonini@carnegiescience.edu.
Additional affiliations
March 2019 - present
Carnegie Institution for Science
Position
  • PostDoc Position
October 2018 - January 2019
University of Toronto
Position
  • PostDoc Position
September 2014 - September 2018
University of Toronto
Position
  • Research Assistant
Education
September 2014 - September 2018
University of Toronto
Field of study
  • Mechanical and Industrial Engineering
October 2010 - March 2013
University of Padova
Field of study
  • Mechanical Engineering
October 2007 - September 2010
University of Padova
Field of study
  • Mechanical Engineering

Publications

Publications (20)
Article
An innovative model based on the vortex theory is presented with the aim of simulating the two-dimensional airfoil dynamic behavior at pitching reduced frequencies related to vertical axis wind-turbine operative conditions. The model relies on the introduction of a second separated wake from the suction side to correctly account for the aerodynamic...
Article
Accurate quantification of wake losses is crucial in wind farm economics. Computational Fluid Dynamics (CFD) has been proven to be a reliable solution to simulate many complex flows, but several studies showed that its effectiveness in wind farms simulations has not always been consistent. In this work, we investigate the causes for that inconsiste...
Article
Optimal design of wind farms in complex terrains has never been fully addressed because of the complex flow phenomena generated by the turbine wakes, the terrain itself, and their mutual interaction. To capture these effects, Computational Fluid Dynamics (CFD) simulation models are necessary, but their direct use with traditional optimization algor...
Article
Full-text available
The geophysical limit to maximum land-area power density of large wind farms is related to the rate of replenishment of kinetic energy removed from the atmosphere by wind turbines. Although observations and numerical simulations have indicated an upper bound to the power density in the order of 1 W/m2, no theoretical foundation has yet been provide...
Article
Full-text available
Significance Wind comprised 6.1% of worldwide electricity generation in 2020. If this share is to substantially grow to decarbonize electricity systems, the size of future wind farms may extend far beyond that of current installations. The spatial scale of a wind farm affects both its mean generation per unit of land and the extension of wake shado...
Article
Full-text available
Wind and solar photovoltaic generators are projected to play important roles in achieving a net-zero-carbon electricity system that meets current and future energy needs. Here, we show potential advantages of long-term site planning of wind and solar power plants in deeply decarbonized electricity systems using a macro-scale energy model. With weak...
Poster
Full-text available
When wind turbines are arranged in clusters, their performance is mutually affected, and the energy generation is reduced relative to what it would be if they were widely separated. Land-area power densities of small wind farms can exceed 10 W/m2 and wakes are several rotor diameters in length. In contrast, large-scale wind farms have an upper-limi...
Poster
Full-text available
Wind and solar photovoltaic are projected to play important roles in achieving a net-zero-carbon electricity system that meets current and future energy needs. Here, we show potential advantages of long-term site planning of wind and solar power plants in deep decarbonization scenarios for electricity systems. We use a macro-scale energy model to f...
Conference Paper
Hundreds of gigawatts of renewable technologies, such as wind and solar, need to be installed to reach a zero-carbon electricity system that meets current and future energy needs. Locations of new installations are typically chosen based on wind and solar availability to maximize facilities’ capacity factors. Here, we show that this is not always t...
Preprint
Full-text available
Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under stochastic wind conditions and wake losses caused by neighboring turbines. This paper presents a novel method to quickly generate approximate optimal layouts to support infrastructure design decisions. We model the quadratic integ...
Article
Full-text available
Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under stochastic wind conditions and wake losses caused by neighboring turbines. This paper presents a novel method to quickly generate approximate optimal layouts to support infrastructure design decisions. We model the quadratic integ...
Poster
Full-text available
The extraction of energy from the atmosphere by large wind farms is limited by its potential availability and replenishment rate. Although observations and numerical simulations have indicated an upper bound to the power density in the order of 1 W/m , no theoretical foundation has yet been provided. Here, we study the role of atmospheric pressure...
Poster
Full-text available
In 2018, the share of electricity generated from wind amounted to 6.6% in the United States and 3.7% worldwide. Such figures are expected to significantly grow as more renewable energy sources will be used in the effort to limit carbon dioxide emissions and the increase of the global average temperature to below 1.5 °C above pre-industrial levels....
Thesis
Full-text available
Driven by concerns on climate change and global warming, increasing oil prices, government support and public receptiveness, wind energy harvesting is emerging as one of the fastest growing renewable energy technologies. Most wind energy is nowadays produced by wind farms, which consist of hundreds of turbines to take advantage of economies of scal...
Article
Current methodologies to optimize wind farm layouts to maximize the farm energy production rely on simple analytical models for wake loss estimations. In this paper, we present an innovative continuous adjoint formulation for gradient calculations within the framework of a gradient-based wind farm layout optimization. The developed optimization met...
Article
Full-text available
Computational fluid dynamics (CFD) simulations of wind turbine wakes are strongly influenced by the choice of the turbulence model used to close the Reynolds-averaged Navier-Stokes (RANS) equations. A wrong choice can lead to incorrect predictions of the velocity field characterizing the wind turbine wake and, consequently, to an incorrect power es...
Conference Paper
CFD simulations of wind turbine wakes are strongly influenced by the choice of the turbulence model used to close the Reynolds-averaged Navier-Stokes (RANS) equations. A wrong choice can lead to incorrect predictions of the velocity field characterizing the wind turbine wake, and consequently to an incorrect power estimation for wind turbines opera...
Article
A review on a wide number of different aerodynamic coefficient databases to be used for vertical axis wind turbine simulations is conducted in this work. The databases are adopted in conjunction with a Blade Element-Momentum algorithm, a commonly used tool to design and verify the aerodynamic behaviour of these machines. Experimental data derived f...

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Projects

Projects (3)
Project
Wind and solar resources are highly variable in space and time and not always available when needed to meet electricity demand. Although they have some degree of complementarity that helps mitigate and smooth their variability, reliable power systems mostly based on variable energy sources require effective grid management, backup power systems, and energy storage capacity. I am investigating strategies for optimal and long-term planning of distributed wind generation in increasingly decarbonized electricity systems. I am using use a macro energy system model to reveal and disentangle system-level relationships and characteristics of optimal siting of distributed wind and solar generation in a decarbonized electricity system.
Project
This research aims to understand the physics of wind power extraction for regional-scale wind farms. We investigate how the wind farm power extraction changes with the wind farm size, which are the transition scales at which this change occurs, and which physical parameters control the efficiency of large-scale installations.
Archived project
The objective of this research project is to develop an accurate, efficient, and fast CFD-based optimization methodology for wind farm layouts to maximize the wind farm energy production in both flat and complex terrains. The optimization process uses a state-ofthe-art Computational Fluid Dynamics (CFD) wake model to accurately simulate the effects of wake losses in a wind farm. The optimization algorithm takes advantage of one of the most advanced optimization algorithms for CFD applications, the adjoint method. This method is implemented with a novel formulation for wind farm layout optimization (WFLO) to reduce the associated computational cost. The proposed CFD-based optimization approach is tested on wind farm layouts under several scenarios: different wind farm configurations, environmental constraints, and terrain types.