The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Ryan Hledik - One of the best experts on this subject based on the ideXlab platform.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:Abstract We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 and 41 billion, leaving a gap of €10–25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
2009Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 to 41 billion, leaving a gap of €10 to 25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
Ahmad Faruqui - One of the best experts on this subject based on the ideXlab platform.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:Abstract We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 and 41 billion, leaving a gap of €10–25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
2009Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 to 41 billion, leaving a gap of €10 to 25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
J L Starck - One of the best experts on this subject based on the ideXlab platform.
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full sky weak lensing simulation with 70 billion particles
Astronomy and Astrophysics, 2009Co-Authors: Romain Teyssier, S Pires, S Prunet, Dominique Aubert, Christophe Pichon, Adam Amara, K Benabed, Stephane Colombi, Alexandre Refregier, J L StarckAbstract:We have performed a 70 billion dark-matter particles N-body simulation in a 2 h −1 Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 results. We have computed a full-sky convergence map with a resolution of Δθ � 0.74 arcmin 2 , spanning 4 orders of magnitude in angular dynamical range. Using various high-order statistics on a realistic cut sky, we have characterized the transition from the linear to the nonlinear regime at � � 1000 and shown that realistic galactic masking affects high-order moments only below �< 200. Each domain (Gaussian and non-Gaussian) spans 2 decades in angular scale. This map is therefore an ideal tool for testing map-making algorithms on the sphere. As a first step in addressing the full map reconstruction problem, we have benchmarked in this paper two denoising methods: 1) Wiener filtering applied to the Spherical Harmonics decomposition of the map and 2) a new method, called MRLens, based on the modification of the Maximum Entropy Method on a Wavelet decomposition. While the latter is optimal on large spatial scales, where the signal is Gaussian, MRLens outperforms the Wiener method on small spatial scales, where the signal is highly non-Gaussian. The simulated full-sky convergence map is freely available to the community to help the development of new map-making algorithms dedicated to the next generation of weak-lensing surveys.
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full sky weak lensing simulation with 70 billion particles
arXiv: Astrophysics, 2008Co-Authors: Romain Teyssier, S Pires, S Prunet, Dominique Aubert, Christophe Pichon, Adam Amara, K Benabed, Stephane Colombi, Alexandre Refregier, J L StarckAbstract:We have performed a 70 billion dark-matter particles N-body simulation in a 2 $h^{-1}$ Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 results. We have computed a full-sky convergence map with a resolution of $\Delta \theta \simeq 0.74$ arcmin$^{2}$, spanning 4 orders of magnitude in angular dynamical range. Using various high-order statistics on a realistic cut sky, we have characterized the transition from the linear to the nonlinear regime at $\ell \simeq 1000$ and shown that realistic galactic masking affects high-order moments only below $\ell < 200$. Each domain (Gaussian and non-Gaussian) spans 2 decades in angular scale. This map is therefore an ideal tool for testing map-making algorithms on the sphere. As a first step in addressing the full map reconstruction problem, we have benchmarked in this paper two denoising methods: 1) Wiener filtering applied to the Spherical Harmonics decomposition of the map and 2) a new method, called MRLens, based on the modification of the Maximum Entropy Method on a Wavelet decomposition. While the latter is optimal on large spatial scales, where the signal is Gaussian, MRLens outperforms the Wiener method on small spatial scales, where the signal is highly non-Gaussian. The simulated full-sky convergence map is freely available to the community to help the development of new map-making algorithms dedicated to the next generation of weak-lensing surveys.
Dan Harris - One of the best experts on this subject based on the ideXlab platform.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be [euro]51 billion, and that operational savings will be worth between [euro]26 and 41 billion, leaving a gap of [euro]10-25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as [euro]67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only [euro]14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
Energy Policy, 2010Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:Abstract We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 and 41 billion, leaving a gap of €10–25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand and lowers the need for building and running expensive peaking power plants. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
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unlocking the 53 billion savings from smart meters in the eu how increasing the adoption of dynamic tariffs could make or break the eu s smart grid investment
2009Co-Authors: Ahmad Faruqui, Dan Harris, Ryan HledikAbstract:We estimate the cost of installing smart meters in the EU to be €51 billion, and that operational savings will be worth between €26 to 41 billion, leaving a gap of €10 to 25 billion between benefits and costs. Smart meters can fill this gap because they enable the provision of dynamic pricing, which reduces peak demand. The present value of savings in peaking infrastructure could be as high as €67 billion for the EU if policy-makers can overcome barriers to consumers adopting dynamic tariffs, but only €14 billion otherwise. We outline a number of ways to increase the adoption of dynamic tariffs.
Romain Teyssier - One of the best experts on this subject based on the ideXlab platform.
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full sky weak lensing simulation with 70 billion particles
Astronomy and Astrophysics, 2009Co-Authors: Romain Teyssier, S Pires, S Prunet, Dominique Aubert, Christophe Pichon, Adam Amara, K Benabed, Stephane Colombi, Alexandre Refregier, J L StarckAbstract:We have performed a 70 billion dark-matter particles N-body simulation in a 2 h −1 Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 results. We have computed a full-sky convergence map with a resolution of Δθ � 0.74 arcmin 2 , spanning 4 orders of magnitude in angular dynamical range. Using various high-order statistics on a realistic cut sky, we have characterized the transition from the linear to the nonlinear regime at � � 1000 and shown that realistic galactic masking affects high-order moments only below �< 200. Each domain (Gaussian and non-Gaussian) spans 2 decades in angular scale. This map is therefore an ideal tool for testing map-making algorithms on the sphere. As a first step in addressing the full map reconstruction problem, we have benchmarked in this paper two denoising methods: 1) Wiener filtering applied to the Spherical Harmonics decomposition of the map and 2) a new method, called MRLens, based on the modification of the Maximum Entropy Method on a Wavelet decomposition. While the latter is optimal on large spatial scales, where the signal is Gaussian, MRLens outperforms the Wiener method on small spatial scales, where the signal is highly non-Gaussian. The simulated full-sky convergence map is freely available to the community to help the development of new map-making algorithms dedicated to the next generation of weak-lensing surveys.
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full sky weak lensing simulation with 70 billion particles
arXiv: Astrophysics, 2008Co-Authors: Romain Teyssier, S Pires, S Prunet, Dominique Aubert, Christophe Pichon, Adam Amara, K Benabed, Stephane Colombi, Alexandre Refregier, J L StarckAbstract:We have performed a 70 billion dark-matter particles N-body simulation in a 2 $h^{-1}$ Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 results. We have computed a full-sky convergence map with a resolution of $\Delta \theta \simeq 0.74$ arcmin$^{2}$, spanning 4 orders of magnitude in angular dynamical range. Using various high-order statistics on a realistic cut sky, we have characterized the transition from the linear to the nonlinear regime at $\ell \simeq 1000$ and shown that realistic galactic masking affects high-order moments only below $\ell < 200$. Each domain (Gaussian and non-Gaussian) spans 2 decades in angular scale. This map is therefore an ideal tool for testing map-making algorithms on the sphere. As a first step in addressing the full map reconstruction problem, we have benchmarked in this paper two denoising methods: 1) Wiener filtering applied to the Spherical Harmonics decomposition of the map and 2) a new method, called MRLens, based on the modification of the Maximum Entropy Method on a Wavelet decomposition. While the latter is optimal on large spatial scales, where the signal is Gaussian, MRLens outperforms the Wiener method on small spatial scales, where the signal is highly non-Gaussian. The simulated full-sky convergence map is freely available to the community to help the development of new map-making algorithms dedicated to the next generation of weak-lensing surveys.