Tyler H. RugglesCarnegie Institution for Science · Department of Global Ecology
Tyler H. Ruggles
PhD
About
23
Publications
3,907
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604
Citations
Introduction
I am using simplified models of the electric system to understand fundamental relationships between electricity demand, geophysical constraints, and sustainable, near-zero emissions power systems that can reliably meet that demand.
Additional affiliations
April 2015 - present
Position
- Dissertator
Description
- I am currently working on analyses involving higgs boson searches and measurements where the higgs boson decays to a pair of tau leptons.
January 2014 - present
Position
- Research Assistant
Description
- Currently working on a an analysis of 8 TeV CMS data from 2012 look for physics beyond the standard model.
September 2013 - December 2013
Position
- Research Assistant
Description
- Was the teaching assistant for Physics 104 - intro E&M and modern physics. I had 3 sections of students for discussions and lab sessions.
Education
January 2014 - September 2018
September 2005 - May 2009
Publications
Publications (23)
A measurement of the H→ττ signal strength is performed using events recorded in proton–proton collisions by the CMS experiment at the LHC in 2016 at a center-of-mass energy of 13TeV. The data set corresponds to an integrated luminosity of 35.9fb−1. The H→ττ signal is established with a significance of 4.9 standard deviations, to be compared to an e...
Electricity usage (demand) data are used by utilities, governments, and academics to model electric grids for a variety of planning (e.g., capacity expansion and system operation) purposes. The U.S. Energy Information Administration collects hourly demand data from all balancing authorities (BAs) in the contiguous United States. As of September 201...
Wind and solar energy technologies are, by their nature, variable. Variations in resource availability, based on weather patterns, occur on intra-day to inter-annual time scales. Many energy system models optimize over a single year of input weather and electricity demand data. Energy system planners need increased understanding of the variability...
We employed an idealized macro-energy system model to examine how the value of unidirectional and bidirectional charging electric vehicles (EVs) varies with EV penetration and mix of electricity generators. We find that EVs can help wind and solar-based electricity generation systems to be less costly by making better use of power that would otherw...
Policies in the US increasingly stipulate the use of variable renewable energy sources, which must be able to meet electricity demand reliably and affordably despite variability. The value of grid services provided by additional marginal capacity and storage in existing grids is likely very different than their value in a 100% variable renewable el...
Solar photovoltaics, with sufficient power generation potential, low-carbon footprint, and rapidly declining costs, could supplant fossil fuel uses and help produce lower-cost net-zero emissions energy systems. Here we used an idealized linear optimization model, including free lossless transmission, to study the response of electricity systems to...
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...
We employed a bottom-up modeling framework to examine a set of scenarios to generate insights on the techno-economic and environmental implications of increasing levels of EV penetration using Nigeria as a case study. Results indicate that, despite having a natural gas-dominated electricity system, the deployment of EVs can support the decarbonizat...
Electricity systems worldwide are transforming from relying almost exclusively on firm, predictable generation (e.g., fossil, nuclear, and large hydropower) towards incorporating more variable generation (e.g., wind and solar PV). In these systems, the electric load minus generation from variable resources is known as the “residual load.” The peak...
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...
Electric sector capacity expansion models are widely used by academic, government, and industry researchers for policy analysis and planning. Many models overlap in their capabilities, spatial and temporal resolutions, and research purposes, but yield diverse results due to both parametric and structural differences. Previous work has attempted to...
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...
Variable, low-cost, low-carbon electricity that would otherwise be curtailed may provide a substantial economic opportunity for entities that can flexibly adapt their electricity consumption. We used historical hourly weather data over the contiguous U.S. to model the characteristics of least-cost electricity systems dominated by variable renewable...
As reliance on wind and solar power for electricity generation increases, so does the importance of understanding how variability in these resources affects the feasible, cost-effective ways of supplying energy services. We use hourly weather data over multiple decades and historical electricity demand data to analyze the gaps between wind and sola...
Reliable and affordable electricity systems based on variable energy sources, such as wind and solar may depend on the ability to store large quantities of low-cost energy over long timescales. Here, we use 39 years of hourly U.S. weather data, and a macro-scale energy model to evaluate capacities and dispatch in least cost, 100% reliable electrici...
A bstract
A search for the standard model Higgs boson produced in association with a W or a Z boson and decaying to a pair of τ leptons is performed. A data sample of proton-proton collisions collected at $$ \sqrt{s} $$ s = 13 TeV by the CMS experiment at the CERN LHC is used, corresponding to an integrated luminosity of 35.9 fb ⁻¹ . The signal str...
We present a deep learning, computer vision algorithm constructed for the purposes of identifying and classifying charged particles in camera image sensors. We apply our algorithm to data collected by the Distributed Electronic Cosmic-ray Observatory (DECO), a global network of smartphones that monitors camera image sensors for the signatures of co...
The total area of silicon in cell phone camera sensors worldwide surpasses that in any experiment to date. Based on semiconductor technology similar to that found in modern astronomical telescopes and particle detectors, these sensors can detect ionizing radiation in addition to photons. The Distributed Electronic Cosmic-ray Observatory (DECO) uses...
Solid-state camera image sensors can be used to detect ionizing radiation in addition to optical photons. We describe the Distributed Electronic Cosmic-ray Observatory (DECO), an app and associated public database that enables a network of consumer devices to detect cosmic rays and other ionizing radiation. In addition to terrestrial background rad...
A search for a heavy scalar boson H decaying into a pair of lighter standard-model-like 125 GeV Higgs bosons hh and a search for a heavy pseudoscalar boson A decaying into a Z and an h boson are presented. The searches are performed on a data set corresponding to an integrated luminosity of 19.7 fb−1 of pp collision data at a centre-of-mass energy...
Camera image sensors can be used to detect ionizing radiation in addition to
optical photons. In particular, cosmic-ray muons are detected as long, straight
tracks passing through multiple pixels. The distribution of track lengths can
be related to the thickness of the active (depleted) region of the camera image
sensor through the known angular di...
In 2014 the number of active cell phones worldwide for the first time
surpassed the number of humans. Cell phone camera quality and onboard
processing power (both CPU and GPU) continue to improve rapidly. In addition to
their primary purpose of detecting photons, camera image sensors on cell phones
and other ubiquitous devices such as tablets, lapt...
The Colorado College Energy Audit and Retrofit Program is a non-profit organization that teaches students the science and mechanics involved in energy audits and retrofit work through service–learning and community-based research projects. This approach represents a “win–win” scenario where the college contributes to maximize learning and minimize...
Questions
Question (1)
The binomial distribution provides the probabilities to observe a number of successes from N trials with success rate P when trials are all independent. I am looking for a calculation which provides the same information in cases where samples exhibit autocorrelation.
My data is stationary, so has a defined probability density function, PDF. I specifically want to know how one calculates how many time steps will likely be needed to sample the tails of the PDF.
Projects
Projects (3)
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.
We are cleaning and analyzing EIA's hourly electricity demand data for the lower 48 states with a goal of providing clean, validated data for ourselves and others to use in energy systems models. EIA data is gathered from utilities and often contains a variety of reporting irregularities which could impact the results of energy models. Original EIA data here: https://www.eia.gov/opendata/qb.php?category=2122628
