REsurety: Data-driven solutions empowering the clean energy economy
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LMEs provide a rate (tons/MWh) of carbon impact for electricity generation or consumption at a given location in the grid, hour-by-hour. That hourly rate is used to accurately measure the amount of carbon dioxide equivalent (CO2e) avoided by each MWh generated by a clean energy project. It is also used to accurately measure the amount of carbon dioxide emitted as a result of each MWh consumed by load.
REsurety’s LME data is the first and only carbon intelligence product available that enables project-specific granularity. To date, carbon impact measurement tools have relied on regional averages, which can materially over- or under-estimate the carbon impact of a specific clean energy project. By way of example, REsurety and The Brattle Group’s whitepaper highlights a west Texas solar project that abates less than half of the carbon as a neighboring west Texas solar project due to local transmission constraints. Unlike other carbon emissions tools, REsurety’s granular LME data surfaces those critical project-specific carbon impact details.
REsurety provides access to LME data and LME-driven carbon impact intelligence through two product options: 1) Project Reports, and 2) API access. A Project Report provides the historical carbon impact of a specific generation project or load facility as well as the key drivers of that impact, such as timing of generation and grid congestion. The API product provides direct access to the hourly LME rates for all resource nodes in a given ISO. REsurety’s Project Reports product is available today. REsurety’s API product will be released later in 2021.
Today, LME data is available in ERCOT. LME data for PJM and CAISO will be available in the coming months with other markets to follow. In ERCOT, LME data is available with hourly, project-level granularity from January 2018 through the present, with a ~60 day lag.
LME data empowers you to go carbon neutral confidently and efficiently.
Go carbon neutral confidently. Before LME data, sustainability-focused decision makers could only hope that regional averages accurately reflected the carbon impact of their specific load facilities and clean energy generation projects. With LME data, you can now confidently measure the carbon impact of your specific facilities and projects, dramatically improving your confidence in your carbon footprint.
Go carbon neutral efficiently. Armed with accurate intelligence on your current carbon footprint, LME data enables sustainability decision makers to maximize the carbon impact of future load siting and clean energy procurement decisions by identifying the locations and projects with the greatest relative decarbonization potential.
LMEs empower energy storage operators to measure the specific carbon impact of their planned or existing projects, whether stand-alone or co-located with a clean energy generation facility. Due to the high volatility of carbon intensity node-by-node and hour-by-hour, energy storage operations can materially increase or decrease the carbon intensity of the grid. For the first time, LME data makes accurately measuring that carbon impact a reality.
LMEs can help identify the carbon impact of transmission bottlenecks. By measuring the amount of incremental carbon caused by each transmission bottleneck, we can better understand the emissions benefit of new transmission investments.
Every megawatt-hour (MWh) of clean energy injected into the grid displaces another megawatt-hour of electricity that would have otherwise been produced. The generator or group of generators whose production was displaced by that incremental injection of clean energy is referred to as the “marginal generator(s)”. REsurety’s algorithm uses grid and market data to identify the marginal generator(s) for each electrical node and each hour and then calculates the quantity of carbon avoided as a result of the marginal generator(s) reduction of production. For load, the same concept is applied but the sign is flipped: marginal generator production (and associated emissions) is increased as a result of the incremental increase on energy consumption.
Because the carbon impact of clean energy varies by location and by hour, annual or regional averages don’t capture the specific carbon impact of individual clean energy projects or loads. We use granular market data to identify the contribution of marginal generators relative to each project location and given the conditions of the grid in each hour.
Clean energy projects located in different parts of the grid, even within the same region or zone, can have wildly different carbon abatement impacts. This happens because transmission bottlenecks affect the mix of resources displaced by incremental clean energy generation. For example, clean energy generated on one side of a transmission constraint may displace generation from a coal plant – resulting in very high carbon abatement. However, clean energy generated on the other side of that transmission constraint may cause the curtailment of solar project – resulting in no carbon abatement.
Clean energy generated in one hour may have a very different carbon impact than clean energy generated in a different hour, even at the same location. This happens because the state of the power grid varies dramatically hour-by-hour as renewable project generation varies with the weather, non-renewable generators ramp production up or down in order to match load, and the distribution of load on the grid changes as people go about their day. All this means that the marginal units – the specific units that would be displaced by a MWh of clean energy produced at a particular location – change hour-by-hour. For example, during a blustery hour in the panhandle of Texas the marginal generator is often another wind project, meaning an additional MWh of clean energy generation in the panhandle would have no impact on carbon emissions. However, as soon as the wind dies an incremental MWh of clean energy would displace a coal or gas plant, causing significant carbon abatement.
Momentum is building around a smarter way to procure and invest in clean energy with the greatest decarbonization potential. REsurety’s LME data helps clean energy buyers, developers, and investors do just that.
Microsoft and other sustainability leaders adopt new tool to evaluate project-specific carbon impact of solar, wind and energy storage – a first for the industry.
Purchasing renewable energy is a means decarbonization, but renewable energy projects are not all equal when it comes to cutting carbon. Locational Marginal Emissions (LMEs) measure carbon emission avoided by renewable energy projects at the most granular spatial level: the electrical node where energy is injected into the grid.
Jhané Thomas is a DevOps Engineer with a pervasive background in CI/CD and automation. Prior to joining REsurety, she worked at large company focused on developing computer processors and related technologies, where she improved their CI/CD pipelines and testing infrastructure. At REsurety, she is building and improving the CI/CD infrastructure as well as implement more DevOps practices.
Ms. Thomas is in the process of attaining her Master’s degree in Information technology and has a Bachelor’s degree in Computer Science, both from Johnson & Wales University.
Jessica Tomaszewski is an atmospheric scientist with experience in boundary layer meteorology, numerical weather prediction, and wind resource assessment. Prior to joining REsurety, Dr. Tomaszewski completed a National Science Foundation Graduate Research Fellowship with a focus on simulating interactions between wind farms and the lower atmosphere. She also conducted two summer internships at NextEra Analytics investigating improvements to the wind farm wake modeling process. As a research scientist at REsurety, she investigates new techniques for wind flow and wake modeling and long-term wind resource prediction.
Dr. Tomaszewski holds Doctor of Philosophy and Master’s degrees in Atmospheric and Oceanic Sciences from the University of Colorado Boulder. She also holds a Bachelor’s degree in Meteorology from the University of Oklahoma where she graduated with highest honors.
Jackson Myers has more than 7 years of experience in wind and solar energy operations. Prior to joining REsurety, Mr. Myers was a member of the meteorology team at Pattern Energy where he was responsible for the operational data analytics program. Prior to that, Mr. Myers worked at EDPR where he analyzed wind and solar plant performance and led a research program on the use of lightning detection technology at wind farms.
Mr. Myers holds a Bachelor’s degree in physics from McGill University and a Master’s degree in physics from Rice University.
Irina Gumennik is an environmental engineer and data analyst with more than 10 years of experience in the development of renewable energy projects. Irina was part of the team that permitted, constructed, and commissioned the Block Island Wind Farm, the first offshore wind energy project in the United States. Before joining REsurety, Irina worked for the world’s largest demand response service provider on demand-side solutions and battery storage products for commercial and institutional energy users. At REsurety, Irina evaluates weather-related volumetric risk and structures hedging contracts to mitigate that risk for clean energy buyers and sellers.
Ms. Gumennik holds a Master’s degree in Civil & Environmental Engineering from Tufts University in Medford, Massachusetts. She also holds a Bachelor’s degree in Environmental Science and Public Policy from Harvard University.
Lizzy Kalikasingh is a materials engineer and scientist with experience in materials selection and optimization for wind and solar technology. Before joining REsurety, Lizzy researched polymer coatings to reduce ice adhesion for wind turbine blades and was involved in the selling of renewable energy credits generated by wind turbines in Cleveland. Additionally, she worked as an operations engineer at EverPower Windholdings, where she designed tools to analyze the performance of wind turbines and auxiliary instruments.
Ms. Kalikasingh holds a Bachelor’s degree in Materials Science and Engineering from Case Western Reserve University.
David Simons is an engineer with experience in energy systems and data science. Prior to joining REsurety, David led the Systems & Analytics team at Enel X, building software to settle demand response events for the world’s largest DR provider. At REsurety, he develops and improves the analytics used to predict renewable energy revenue and quantify risk.
Mr. Simons holds a Bachelor’s degree in Energy Systems Engineering from the University of Toronto as well as a Bachelor’s degree in Linguistics from McGill University.
Daniel Jang is a researcher with experience in fundamentals-based modeling of electric power systems. Before joining REsurety, he worked in the utilities practice at the Brattle Group, consulting on issues spanning wholesale and retail electricity in litigation and commercial contexts. At REsurety, he is helping to advance renewable power price analytics.
Mr. Jang holds a Bachelors degree in Economics from Princeton University.
Blair Allen is a product manager with experience in energy information services products that support both ends of energy market exposure, from the project development phase to managing merchant generation. Before joining REsurety, Mr. Allen worked at a large energy data and analytics company as the Chief of Staff to their Power business unit, helping to manage, develop, and grow the company’s global portfolio of electricity market products and services. Prior to that he worked as a Senior Market Analyst offering price and congestion forecasts to customers with physical or financial risk in the Mid-continent ISO.
Mr. Allen holds a Bachelor’s degree in Philosophy from Bucknell University, with a minor in Economics.
Anshal Savla is an engineer with expertise in building data pipelines and automated workflows. Before joining the REsurety team, he worked as a Data Analyst at New York City Transit where he built a data pipeline to analyze employee attrition trends. At REsurety, he is working on building and optimizing automated data pipelines to support the company’s analysis of wind speed and electric power generation and pricing data.
Mr. Savla holds a Master’s degree in Computer Science from New York University and a Bachelor’s degree in Information and Technology from NMIMS University, in India.
Marion Cundari is a mechanical engineer with experience in both wind energy and energy efficiency program evaluation. While earning her bachelor’s degree, Marion helped develop a sound based wind turbine condition monitoring prototype as her senior project. After graduation and before joining REsurety, Marion calculated energy and demand savings associated with utility sponsored energy efficiency programs throughout the United States.
Ms. Cundari holds a bachelor of science in mechanical engineering and a minor in economics from the University of Vermont.
Aaron Perry is a meteorologist with experience in wind resource assessment, climate science, and numerical weather prediction. Before joining REsurety he worked for Vaisala, performing wind and solar resource assessments, and analyzing hundreds of pre-construction and operational projects around the world. As part of his Master’s studies he researched supply-side volumetric risk to renewable energy companies and the financial tools that may reduce this risk. At REsurety Aaron evaluates weather related volumetric risk and structures hedging contracts to mitigate that risk for clean energy buyers and sellers.
Mr. Perry holds a Master’s degree in Environmental Science, Policy, and Management from the Central European University in Hungary, Lund University in Sweden, and the University of Manchester in the UK. He also holds a Bachelor’s degree in Atmospheric Science from Cornell University.
David Luke Oates is an engineer and researcher with experience in statistical and fundamentals-based modeling of wholesale electricity systems. Before joining the REsurety team, he was a consultant at the Brattle Group, supporting electricity market operators, utilities, and asset owners to address market design, asset valuation, and regulatory questions. At REsurety, he is helping to advance power price analytics in the context of emerging issues in the electricity sector.
Dr. Oates holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University and a Bachelor’s degree in Engineering Physics from Queen’s University, Canada.
Jennifer Newman is an atmospheric scientist with experience in boundary layer meteorology, remote sensing, machine learning, and wind resource assessment. Prior to joining REsurety, Dr. Newman completed a postdoctoral fellowship at the National Renewable Energy Laboratory with a focus on improving turbulence estimates from Doppler wind lidars. As a research scientist at REsurety, she investigates new methods for estimating the risk of potential wind projects.
Dr. Newman holds Doctor of Philosophy and Master’s degrees in Meteorology from the University of Oklahoma. She also holds a Bachelor’s degree in Atmospheric Science from Cornell University where she graduated with distinction in research.
Tony Lapolito is the Senior Vice President, Product of REsurety. He has been a part of multiple early stage companies that have generated well over $1B in liquidity. Tony is a pioneer in many disruptive technologies including digital media, CDNs, cloud, distributed computing and big data. He has held senior Product, Marketing and UX positions at Cisco Systems, BNI and SightPath (both acquired by Cisco), Chipcom (acquired by 3Com) as well as Signiant and SevOne.
Tony holds a Bachelor’s degree in Electrical Engineering from University of Massachusetts, Lowell and a Masters of Business Administration from Boston College.
Adam Reeve is a mechanical engineer and data scientist with a strong interest in the rapidly evolving renewable energy landscape. Before joining the REsurety team, he worked for a proprietary trading firm specializing in quantitative analysis of energy markets. His deep experience in data-driven analysis, model building, risk assessment and data visualization support REsurety’s analytical approach to quantifying and managing the weather-linked revenue risks of wind power projects.
Mr. Reeve holds a Bachelor’s degree in Mechanical Engineering and Political Science from Yale College, with a focus on energy and environmental studies. He graduated with distinction in both majors.
Carl Ostridge has more than 10 years of wind energy experience specializing in pre-construction and operational wind resource and energy yield assessments. Prior to joining REsurety, Mr. Ostridge worked for DNV GL analyzing and improving the accuracy of wind farm energy analyses and developing models to predict wind farm energy output and revenue on hourly timescales. He also led research activities focusing on turbine performance, wind flow and wake modeling, measurement instrument accuracy, and wind resource variability and long-term trends. His extensive industry experience and proven analytical skills support REsurety’s industry-leading tools and expertise in weather-related risk and valuation for renewable energy projects.
Mr. Ostridge holds a Master’s degree in Astrophysics from the University of Exeter in the UK.
Lee Taylor is the Co-Founder and CEO of REsurety. Since founding REsurety in 2012 to commercialize research he conducted at Dartmouth’s Tuck School of Business, Mr. Taylor has built a rapidly growing company, gained institutional financing and attracted top-notch talent, advisors and directors. Today, REsurety’s products are not only award winning, but are redefining the way clean energy buyers and sellers are thinking about and managing risk. Under Mr. Taylor’s stewardship, REsurety has amassed contracts supporting more than 5,000 MW of renewable energy generation capacity, and counts many of the U.S. — if not the world’s — largest companies as customers and partners, including Microsoft, Invenergy, Capital Power, Southern Company, Nephila Climate, and Allianz.
Mr. Taylor holds an MBA from Tuck School of Business at Dartmouth, where he was named an Edward Tuck Scholar (awarded for academic achievement) and recipient of the Lt. Walter Jacobs Memorial Prize (awarded for intellectual leadership). He also holds Bachelor’s degrees in Economics and Biology from the University of Virginia.
David Luke Oates is an engineer and researcher with experience in statistical and fundamentals-based modeling of wholesale electricity systems. Before joining the REsurety team, he was a consultant at the Brattle Group, supporting electricity market operators, utilities, and asset owners to address market design, asset valuation, and regulatory questions. At REsurety, he is helping to advance power price analytics in the context of emerging issues in the electricity sector.
Dr. Oates holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University and a Bachelor’s degree in Engineering Physics from Queen’s University, Canada.
Karl Critz is a software engineer with experience in simulation, modeling, machine vision, and data visualization. His work in renewables has integrated solar power with smart residential load sources and optimized generation strategies for high-penetration wind. As an experienced software architect, Karl ensures that REsurety’s analytical infrastructure is functional, reliable, and scalable.
Mr. Critz holds a Master’s degree in Management and Engineering from MIT Sloan, where he received an NREL Innovative Research Analysis Award grant for wind integration research. Mr. Critz also holds Master’s and Bachelor’s degrees in Mechanical Engineering from MIT.
Marcial Santiago is a data engineer with a background in software development and mathematics. Before joining REsurety and the renewable energy industry, he worked as a Data Specialist at McLean Hospital. Mr. Santiago’s background in mathematics and software development help ensure the quality of to REsurety’s data-intensive approach to risk evaluation and mitigation.
Mr. Santiago holds a Bachelor’s Degree in Computational Mathematics from Rochester Institute of Technology in Rochester, NY.
Amit Ranjan is an engineer and researcher with experience in fundamentals-based modeling of wholesale electricity markets. Before joining the REsurety team, he was a Senior Analyst at National Grid where he improved the fidelity of long-term capacity expansion models to support corporate strategy initiatives. He also studied the financial and electric system peak implications of electrifying heating in buildings across the US Northeast. At REsurety, he is helping to advance power price analytics amid evolving market designs, increasing penetration of renewable energy and changing policy landscape.
Mr. Ranjan holds a Master’s degree in Energy and Environmental Management from Duke University and a Bachelor’s degree in Environmental Engineering from Delhi Technological University, India.
Matthew Livingston is a meteorologist with experience in weather forecasting and data analysis. Before joining the REsurety team, Matt worked for Penn State University as a researcher responsible for collecting and analyzing data retrieved from hail storms to help aid in the prediction of large hail events.
Mr. Livingston holds a Bachelor’s degree in Meteorology with a focus in Weather Risk Management from the Pennsylvania State University. In addition to his meteorology degree, he also minored in Energy, Business and Finance.
Yu Wang is the Software Quality Engineering Manager at REsurety who lays out the quality vision and oversees the quality activities of REsurety’s Risk, Platform and Information products. Before joining Resurety, Mr Wang built his more than twenty years of Software Quality Engineering tenure at MathWorks, Teradyne, Motorola and Amica by leading technical projects, managing onshore and offshore quality engineering teams, working cross-functionally, delivering high quality on-premises, distributed and cloud based software applications.
Mr Wang holds a Master’s degree in Software Reliability Engineering from the University of Maryland at College Park.
Steven Kalt is a full-stack developer with experience in data visualization, GIS, web design, and renewable energy origination. Before joining REsurety, he worked for Lux Research, designing interactive visualizations and developing research tools. At REsurety, Mr. Kalt works to build modular, scalable, and informative data visualization systems.
Mr. Kalt holds a Bachelor of Arts in Environmental Studies from Amherst College in Massachusetts.
Shane Hall trained as a mechanical engineer, but pivoted to software engineering after gaining academic research experience in the aerodynamic modeling of wind turbines. He has worked at ISO-NE modeling renewable resources, and as a software engineer in the energy consulting industry building financial software products and running commodity market forecasting to advise on procurement strategy in the C&I space. He has extensive experience in resource and market modeling, machine learning forecasting, and software product development. At REsurety, Shane builds and improves software that analyzes renewable resources and assesses financial risk.
Mr. Hall holds a Master’s degree in Mechanical Engineering, a Bachelor’s degree in Energy Engineering, and a Certificate in Wind Power Engineering from the University of Massachusetts Amherst.
Sarah Sofia is a photovoltaics engineer with extensive research experience in techno-economic analysis of solar cells and solar-plus-storage systems at high PV adoption rates. Prior to joining REsurety, Sarah performed doctoral research at MIT to determine how novel solar cell architectures and storage technologies could be made economically viable through combining experimental device fabrication, module manufacturing and system cost analysis, and location specific energy yield modeling to inform the optimal solar cell device design. At REsurety, Sarah is developing the team’s solar energy modeling software capabilities.
Dr. Sofia holds a Ph.D. in Mechanical Engineering from MIT, as well as Bachelor’s degrees in Physics and Astronomy with a concentration in scientific computing from Haverford College.
Sahar Shirani is a civil engineer with extensive background in data analysis and statistical model development. Prior to joining REsurety, she worked at a Boston-based startup focused on treating industrial water, where she conducted market analysis on commodities. At REsurety, she is building and continuously improving the data science platform that powers REsurety’s insights into the renewable energy markets.
Ms. Shirani holds a Master’s degree in Civil & Environmental Engineering from Northeastern University, and a Bachelor’s degree in Civil Engineering from the Amirkabir Unviersity of Technology, in Iran.
Peter Richardson is an Engineering Manager at REsurety with a focus on data visualization. He has been at the crossroads of Energy markets and data management for over a decade working on a variety of projects including human capacity development for renewable energy systems in the Galapagos Islands and the buildout of analytic software packages for financial contracts in wholesale electricity markets.
Mr. Richardson holds a Bachelor’s degree in Physics from Colorado College, with a minor in Mathematics.
Owen Miles is a GIS specialist with experience in mapping and visualizing large environmental datasets. Before joining REsurety, Owen worked in the environmental consulting field, where he specialized in numerical modeling and data visualization for environmental projects. At REsurety, he is building GIS and data visualization tools.
Owen has a Master’s degree in Civil Engineering from Queen’s University and a Bachelor degree in Water Resources Engineering.
Omri Schwarz has a long career of software development, quality assurance, and full-stack software and hardware implementation in academic and commercial contexts. Prior to REsurety, Mr. Schwarz designed, developed and administered quality assurance processes at a quantitative hedge fund, operated Beowulf supercomputers at MIT, and developed software at Fraunhofer. At REsurety, Mr. Schwarz supports the developers by implementing and upgrading the QA process, putting stitches in time to save nine.
Mr. Schwarz has a Master’s degree in Electrical Engineering and Computer Science from MIT.
Michelle Bowen is a business development professional who is passionate about ushering in a new clean energy era. Before joining the REsurety team, she worked in origination of long-term renewable energy offtake agreements at a leading, global renewable energy company.
Michelle holds a Bachelor’s of Science in Civil Engineering from Rice University.
Sinéad Barry-O’Brien is a leader in operations with proven execution across varied industries. Putting customers at the center of decision-making, she has driven growth through customer experience, team-building, and process improvement. Sinéad has supported global M&A strategies to build market share. She is passionate about scaling entrepreneurial companies in growth industries.
Sinéad holds a Master’s degree in International Public Policy and Diplomacy, from University College Cork, and a Bachelor’s degree in Commerce from the National University of Ireland, Galway.
