U.S. flag

An official website of the United States government

PubAg

Main content area

You searched for: Author "Archer, Cristina L." Remove constraint Author: "Archer, Cristina L."
Start Over

Search

12  Search Results

1 - 12 of 12
Number of results to display per page

Search Results

1. A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models

Author:
Archer, Cristina L.,   et al.   ; Pan, Yang;     Show all 2 Author
Source:
Boundary-layer meteorology 2018 v.168 no.3 pp. 469-495
ISSN:
0006-8314
Subject:
climate; energy; geometry; prediction; regression analysis; simulation models; turbulent flow; weather research and forecasting model; wind direction; wind farms; wind power; wind speed; wind turbines
Abstract:
... To better understand the potential impact of wind farms on weather and climate at the regional to global scales, a new hybrid wind-farm parametrization is proposed for mesoscale and climate models. The proposed parametrization is a hybrid model because it is not based on physical processes or conservation laws, but on the multiple linear regression of the results of large-eddy simulations (LES) wi ...
DOI:
10.1007/s10546-018-0351-9

2. Assessing compressibility effects on the performance of large horizontal-axis wind turbines

Author:
Archer, Cristina L.,   et al.   ; Yan, Chi;     Show all 2 Author
Source:
Applied energy 2018 v.212 pp. 33-45
ISSN:
0306-2619
Subject:
aerodynamic properties; blades; compressibility; drag coefficient; energy; mathematical models; momentum; power generation; wind farms; wind speed; wind turbines
Abstract:
... The tips of large horizontal-axis wind turbines can easily reach high speeds, thus raising the concern that compressibility effects may influence turbine wakes and ultimately power production. All past studies have assumed that these effects are negligible. Compressibility effects are assessed here in terms of blade aerodynamic properties and variable density separately. Using the Blade Element Mo ...
DOI:
10.1016/j.apenergy.2017.12.020

3. The importance of transport to ozone pollution in the U.S. Mid-Atlantic

Author:
Archer, Cristina L.,   et al.   ; Moghani, Mojtaba; Mirzakhalili, Ali;     Show all 3 Authors
Source:
Atmospheric environment 2018 v.191 pp. 420-431
ISSN:
1352-2310
Subject:
air pollution; air quality; atmospheric chemistry; emissions; models; nitrogen oxides; ozone; photochemistry; volatile organic compounds; Delaware; Mid-Atlantic region
Abstract:
... The U.S. Mid-Atlantic region is affected by transport of ozone and its precursors from upwind states and therefore local emission-reduction strategies are not necessarily the most effective to reach attainment. In this study, we conduct a comprehensive modeling effort with two photochemical models recommended by the U.S. Environmental Protection Agency – the Community Multiscale Air Quality Model ...
DOI:
10.1016/j.atmosenv.2018.08.005

4. A Numerical Study of Wind-Turbine Wakes for Three Atmospheric Stability Conditions

Author:
Archer, Cristina L.,   et al.   ; Xie, Shengbai;     Show all 2 Author
Source:
Boundary-layer meteorology 2017 v.165 no.1 pp. 87-112
ISSN:
0006-8314
Subject:
energy; normal distribution; simulation models; temperature; turbulent flow; wind farms; wind speed; wind turbines
Abstract:
... The effects of atmospheric stability on wind-turbine wakes are studied via large-eddy simulations. Three stability conditions are considered: stable, neutral, and unstable, with the same geostrophic wind speed aloft and the same Coriolis frequency. Both a single 5-MW turbine and a wind farm of five turbines are studied. The single-turbine wake is strongly correlated with stability, in terms of vel ...
DOI:
10.1007/s10546-017-0259-9

5. Wind farm hub height optimization

Author:
Archer, Cristina L.,   et al.   ; Vasel-Be-Hagh, Ahmadreza;     Show all 2 Author
Source:
Applied energy 2017 v.195 pp. 905-921
ISSN:
0306-2619
Subject:
algorithms; case studies; energy; simulation models; surface roughness; wind direction; wind farms; wind speed; wind turbines; Sweden
Abstract:
... The objective of this study is to assess the effect of hub height optimization on the Annual Energy Production (AEP) of a wind farm. The only optimization variable is the hub height of each wind turbine and all other characteristics of the wind farm, including base location, rotor diameter (D), and total number of wind turbines, remain unchanged. The first case study consisted of two wind turbines ...
DOI:
10.1016/j.apenergy.2017.03.089

6. Review and evaluation of wake loss models for wind energy applications

Author:
Archer, Cristina L.,   et al.   ; Vasel-Be-Hagh, Ahmadreza; Yan, Chi; Wu, Sicheng; Pan, Yang; Brodie, Joseph F.; Maguire, A. Eoghan;     Show all 7 Authors
Source:
Applied energy 2018 v.226 pp. 1187-1207
ISSN:
0306-2619
Subject:
geometry; guidelines; models; power generation; prediction; statistical analysis; turbines; wind direction; wind farms; wind power; Denmark; Sweden
Abstract:
... Choosing an appropriate wake loss model (WLM) is a critical task in predicting power production of a wind farm and performing a wind farm layout optimization. Due to their efficient computational performance, analytical WLMs, also called kinematic models, are the most likely candidates for such applications. This paper examines the performance of six well-known analytical WLMs, i.e., Jensen, Larse ...
DOI:
10.1016/j.apenergy.2018.05.085

7. Sensitivity Issues in Finite-Difference Large-Eddy Simulations of the Atmospheric Boundary Layer with Dynamic Subgrid-Scale Models

Author:
Archer, Cristina L.,   et al.   ; Xie, Shengbai; Ghaisas, Niranjan;     Show all 3 Authors
Source:
Boundary-layer meteorology 2015 v.157 no.3 pp. 421-445
ISSN:
0006-8314
Subject:
atmospheric sciences; models; space and time
Abstract:
... The neutral atmospheric boundary layer (ABL) is simulated by finite-difference large-eddy simulations (LES) with various dynamic subgrid-scale (SGS) models. The goal is to understand the sensitivity of the results to several aspects of the simulation set-up: SGS model, numerical scheme for the convective term, resolution, and filter type. Three dynamic SGS models are tested: two scale-invariant mo ...
DOI:
10.1007/s10546-015-0071-3

8. Assessing the economic feasibility of the gradual decarbonization of a large electric power system

Author:
Archer, Cristina L.,   et al.   ; Santos-Alamillos, Francisco J.; Noel, Lance; Budischak, Cory; Facciolo, William;     Show all 5 Authors
Source:
Journal of cleaner production 2017 v.147 pp. 130-141
ISSN:
0959-6526
Subject:
air pollution; climate change; coal; cost effectiveness; economic feasibility; electric power; electricity costs; energy; environmental health; models; natural gas; power plants; wind; wind farms; wind power; United States
Abstract:
... The decarbonization of power systems is among the primary actions to fight air pollution and climate change. In this study, we evaluate the costs of a gradual transition towards a new power system in which the oldest coal plants are replaced with low-carbon power plants. We developed the Wind Energy Integration Cost Advisor Model (WEICAM) to analyze different strategies for this energy transition ...
DOI:
10.1016/j.jclepro.2017.01.097

9. Cost minimization of generation, storage, and new loads, comparing costs with and without externalities

Author:
Archer, Cristina L.,   et al.   ; Noel, Lance; Brodie, Joseph F.; Kempton, Willett; Budischak, Cory;     Show all 5 Authors
Source:
Applied energy 2017 v.189 pp. 110-121
ISSN:
0306-2619
Subject:
coal; cost effectiveness; electricity; energy; energy policy; heat; hydrogen; natural gas; power plants; solar energy; vehicles (equipment); wind; wind power
Abstract:
... The goal of this research is to understand the economics of anticipated large-scale changes in the electric system. 86 million different combinations of renewable generation (wind and solar), natural gas, and three storage types (hydrogen storage, electric vehicles equipped with vehicle-to-grid (V2G) technology, and building heat) are modeled within the PJM Interconnection. The corresponding elect ...
DOI:
10.1016/j.apenergy.2016.12.060

10. Geographical and seasonal variability of the global “practical” wind resources

Author:
Archer, Cristina L.,   et al.   ; Jacobson, Mark Z.;     Show all 2 Author
Source:
Applied geography 2013 v.45 pp. 119-130
ISSN:
0143-6228
Subject:
electricity; geography; land use; mathematical models; seasonal variation; wind power; wind speed; wind turbines; Japan
Abstract:
... This paper provides global and seasonal estimates of the “practical” wind power obtained with a 3-D numerical model (GATOR-GCMOM) that dynamically calculates the instantaneous wind power of a modern 5 MW wind turbine at 100-m hub height at each time step. “Practical” wind power is defined as that delivered from wind turbines in high-wind locations (year-average 100-m wind speed ≥ 7 m/s) over land ...
DOI:
10.1016/j.apgeog.2013.07.006

11. Airborne wind energy: Optimal locations and variability

Author:
Archer, Cristina L.,   et al.   ; Delle Monache, Luca; Rife, Daran L.;     Show all 3 Authors
Source:
Renewable energy 2014 v.64 pp. 180-186
ISSN:
0960-1481
Subject:
altitude; atmospheric circulation; climate; electric power; electricity; farms; land use; power generation; wind power; wind speed; wind turbines; Eastern Africa; United States
Abstract:
... This paper explores the global wind power potential of Airborne Wind Energy (AWE), a relatively new branch of renewable energy that utilizes airborne tethered devices to generate electricity from the wind. Unlike wind turbines mounted on towers, AWE systems can be automatically raised and lowered to the height of maximum wind speeds, thereby providing a more temporally consistent power production. ...
DOI:
10.1016/j.renene.2013.10.044

12. Saturation wind power potential and its implications for wind energy

Author:
Archer, Cristina L.,   et al.   ; Jacobson, Mark Z.;     Show all 2 Author
Source:
Proceedings of the National Academy of Sciences of the United States of America 2012 v.109 no.39 pp. 15679-15684
ISSN:
0027-8424
Subject:
energy; heat; wind; wind power; wind turbines; Antarctica
Abstract:
... Wind turbines convert kinetic to electrical energy, which returns to the atmosphere as heat to regenerate some potential and kinetic energy. As the number of wind turbines increases over large geographic regions, power extraction first increases linearly, but then converges to a saturation potential not identified previously from physical principles or turbine properties. These saturation potentia ...
DOI:
10.1073/pnas.1208993109
PubMed:
23019353
PubMed Central:
PMC3465402