Until recently, resource assessment for wind energy projects has heavily relied on the standard approach employing meteorological towers to establish historical climate conditions. This webinar concentrates on how highly accurate modeled wind resource data can speed up preconstruction activities while significantly reducing development costs.
Members of the AWS Truepower Information Services team discuss how virtual met masts (VMMs) and reports based on high-resolution data save time and money when it comes to understanding the resource and energy potential of your project site. They also share experiences from seasoned developers who have used AWS Truepower’s data to qualify project sites.
AWS Truepower's windNavigator staff provide insight on how highly accurate modeled wind resource data can speed up preconstruction activities while significantly reducing development costs.
Solar Resource Assessment: Why it MattersAWS Truepower
Characterizing solar resources and local meteorological attributes is an important first-step in the review of any solar energy project. While residential and light commercial projects may require only a cursory assessment, larger distributed generation and utility-scale projects necessitate a more rigorous evaluation.
AWS Truepower’s President and CEO, Bruce Bailey and Director of Solar Services, Marie Schnitzer will cover the importance of using established resource assessment methods to lower project risk and improve project and site characterization. During the webinar they will share lessons-learned from the wind industry and provide insight on best practices in desktop studies, on-site monitoring programs, and field activities.
The document discusses an analysis of a First Revenue Satellite (FRS) for space solar power. It summarizes that a full-scale SSP system may not be commercially viable. An FRS operating at ~5MW could demonstrate SSP operations for niche markets like remote military bases that pay $1-2/kWh for fuel-generated power. It models the economics of a notional 5MW FRS concept using the CABAM financial tool, examining different levels of government contribution to lower the break-even price per kWh from $23 without contribution to $7 with full funding of development/acquisition costs.
This document summarizes a study analyzing the potential cost reductions and economic viability of offshore wind energy development in the United States from 2015-2030. The study uses modeling to estimate levelized costs of energy (LCOE) under various technology scenarios and finds that with continued innovation, average LCOE could drop from $130-450/MWh in 2015 to $80-220/MWh by 2027. Certain coastal regions like the Northeast Atlantic may reach economic viability by 2030 without subsidies. Costs are projected to converge for fixed-bottom and floating technologies, with an economic breakpoint of 45-60 meters water depth.
The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute aims to develop regional knowledge and leadership in renewable energy assessment and mapping for arid environments. The Center has over 26 staff members and has succeeded in developing the UAE Solar Atlas and playing a key role in the Global Solar and Wind Atlas initiative. Some of the Center's facilities and capabilities include a satellite ground station, 200TB storage system, and tools for solar resource forecasting and performance modeling of solar power technologies.
This document summarizes SaskPower's experience developing the world's first commercial-scale integrated carbon capture and storage (ICCS) project at its Boundary Dam Power Station Unit 3. It describes SaskPower's decades-long pursuit of clean coal power technology from the 1980s onwards. Key factors in the decision to retrofit Unit 3 were continued value from existing infrastructure and revenues from sale of captured CO2, sulphuric acid, and fly ash. Major challenges included immature technology, construction complexity, and cost escalation. The project demonstrates that large-scale CCS at coal plants is viable and provides lessons for future clean coal initiatives.
This document discusses emerging lidar technologies for use in 3DEP, the USGS 3D Elevation Program. It provides an overview of 3DEP and its goals of providing high-quality topographic data. Emerging technologies discussed include Geiger-mode lidar and single photon lidar. Test projects using these technologies have been conducted in Illinois, South Dakota, and North Carolina to help advance the technologies. The document outlines guidelines for evaluating the quality and accuracy of data from these sensors.
The document discusses advances in the SolarGIS global solar resource database. Key points include:
- New satellite missions are providing higher resolution and more frequent data, increasing data volume requirements.
- The aerosol database is being stabilized using re-analysis data from 2003-2012 and near-real time data from 2013 onwards.
- The global solar resource database has been recomputed using the stabilized aerosol database.
- New tools for monitoring and forecasting PV production using the satellite-based data and models have been developed.
AWS Truepower's windNavigator staff provide insight on how highly accurate modeled wind resource data can speed up preconstruction activities while significantly reducing development costs.
Solar Resource Assessment: Why it MattersAWS Truepower
Characterizing solar resources and local meteorological attributes is an important first-step in the review of any solar energy project. While residential and light commercial projects may require only a cursory assessment, larger distributed generation and utility-scale projects necessitate a more rigorous evaluation.
AWS Truepower’s President and CEO, Bruce Bailey and Director of Solar Services, Marie Schnitzer will cover the importance of using established resource assessment methods to lower project risk and improve project and site characterization. During the webinar they will share lessons-learned from the wind industry and provide insight on best practices in desktop studies, on-site monitoring programs, and field activities.
The document discusses an analysis of a First Revenue Satellite (FRS) for space solar power. It summarizes that a full-scale SSP system may not be commercially viable. An FRS operating at ~5MW could demonstrate SSP operations for niche markets like remote military bases that pay $1-2/kWh for fuel-generated power. It models the economics of a notional 5MW FRS concept using the CABAM financial tool, examining different levels of government contribution to lower the break-even price per kWh from $23 without contribution to $7 with full funding of development/acquisition costs.
This document summarizes a study analyzing the potential cost reductions and economic viability of offshore wind energy development in the United States from 2015-2030. The study uses modeling to estimate levelized costs of energy (LCOE) under various technology scenarios and finds that with continued innovation, average LCOE could drop from $130-450/MWh in 2015 to $80-220/MWh by 2027. Certain coastal regions like the Northeast Atlantic may reach economic viability by 2030 without subsidies. Costs are projected to converge for fixed-bottom and floating technologies, with an economic breakpoint of 45-60 meters water depth.
The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute aims to develop regional knowledge and leadership in renewable energy assessment and mapping for arid environments. The Center has over 26 staff members and has succeeded in developing the UAE Solar Atlas and playing a key role in the Global Solar and Wind Atlas initiative. Some of the Center's facilities and capabilities include a satellite ground station, 200TB storage system, and tools for solar resource forecasting and performance modeling of solar power technologies.
This document summarizes SaskPower's experience developing the world's first commercial-scale integrated carbon capture and storage (ICCS) project at its Boundary Dam Power Station Unit 3. It describes SaskPower's decades-long pursuit of clean coal power technology from the 1980s onwards. Key factors in the decision to retrofit Unit 3 were continued value from existing infrastructure and revenues from sale of captured CO2, sulphuric acid, and fly ash. Major challenges included immature technology, construction complexity, and cost escalation. The project demonstrates that large-scale CCS at coal plants is viable and provides lessons for future clean coal initiatives.
This document discusses emerging lidar technologies for use in 3DEP, the USGS 3D Elevation Program. It provides an overview of 3DEP and its goals of providing high-quality topographic data. Emerging technologies discussed include Geiger-mode lidar and single photon lidar. Test projects using these technologies have been conducted in Illinois, South Dakota, and North Carolina to help advance the technologies. The document outlines guidelines for evaluating the quality and accuracy of data from these sensors.
The document discusses advances in the SolarGIS global solar resource database. Key points include:
- New satellite missions are providing higher resolution and more frequent data, increasing data volume requirements.
- The aerosol database is being stabilized using re-analysis data from 2003-2012 and near-real time data from 2013 onwards.
- The global solar resource database has been recomputed using the stabilized aerosol database.
- New tools for monitoring and forecasting PV production using the satellite-based data and models have been developed.
1) NREL is a national laboratory operated by the Alliance for Sustainable Energy, LLC that focuses on energy efficiency and renewable energy.
2) The presentation discusses options for quantifying solar resource from measurements including horizontal and inclined surfaces, and methods for transposing horizontal irradiance data to plane of array irradiance.
3) It notes that isotropic models used to approximate this transposition can underestimate plane of array irradiance by 5-20% compared to using anisotropic physics models that better simulate cloud conditions and solar radiances.
Solar Energy Assessment for Community Energy PlanningLeonardo ENERGY
A comprehensive, multi-step approach to assessing solar energy opportunities for regional development and community energy planning is presented by Green Power Labs (Canada).
The document discusses modeling energy losses from snow on photovoltaic (PV) systems using the System Advisor Model (SAM). It describes a snow loss model implemented in SAM that estimates snow coverage over PV modules based on factors like system tilt, irradiance, temperature and snow depth. The model was validated against measurements from two PV systems, showing much better accuracy when including snow losses. National modeling for the U.S. estimated average snow losses by region and their correlation with total snow depth. Future work may consider snow losses for tracking systems or improving accuracy at shorter timescales.
Prism Solar Technologies conducted a multi-year study of bifacial solar module energy gains under various field conditions. The study found that bifacial modules produced significantly higher energy yields than monofacial modules under different tilt angles, heights, albedos, and orientations. For example, at a site in Tucson, AZ with a ground albedo of 77% and module height of 0.76m, the bifacial modules produced 36.8% more energy than the monofacial reference modules. However, standard STC ratings do not accurately represent the true energy generation potential of bifacial modules under real-world conditions.
The document discusses providing climate informatics services using reanalysis data to help commercial clients with decision making regarding commodities affected by weather and climate. It proposes a tiered approach, beginning with free monthly reports analyzing reanalysis data and maps. A subscription service would offer more detailed analysis and custom indices for specific commodity sectors. The goal is to help identify extreme weather events that could significantly impact commodity prices and help quantify climate-related risks.
Transmission Distribution World September 2010 - Spatial Data AccuracyJustin Eldridge
EnergyAustralia undertook a project to improve the accuracy of its digital cadastre database (DCDB) which contained inaccurate spatial data, posing safety risks. It collaborated with other utilities, government agencies, and a contractor to adjust over 1 million land parcels and network assets. This involved analyzing source data, identifying required shifts, maintaining parcel shapes, and quality assurance. The project significantly improved safety and allowed more efficient network management, design, and maintenance through integrated accurate spatial data.
The Unheralded Value In Offshore Wind An Evaluation Using pCoudAnalyticsKofi Amoako-Gyan
This document analyzes the benefits of incorporating offshore wind power into the New England electric grid using power system modeling software. It finds that adding offshore wind reduces costs, emissions, and locational marginal prices. Specifically:
- Adding 1200MW of offshore wind reduces natural gas usage by 6.5% and coal by 5.6%, lowering emissions of CO2 by 3.24 million tons, SO2 by 2,859 tons, and NOx by 1,121 tons.
- Offshore wind decreases operating costs for fuels and maintenance in the region based on the size of installation, with 1200MW saving over $100 million.
- Wholesale electricity costs paid by consumers are also reduced, as the modeling
Multi-Objective WindFarm Optimization Simultaneously Optimizing COE and Land ...Weiyang Tong
This document summarizes research into optimizing the cost of energy (COE) and land footprint of wind farms under different land plot availability scenarios. The researchers use a multi-objective mixed-discrete particle swarm optimization algorithm to simultaneously minimize COE and land footprint per MW installed. They model wind farm energy production and costs, propose a layout-based land usage model, and define the multi-objective optimization problem with mixed integer variables and nonlinear constraints. A case study is presented to investigate how varying land plot availability impacts the optimal tradeoffs between COE and land footprint, and regulates the resulting optimal wind farm layout designs.
A Consolidated Visualization of Wind Farm Energy Production Potential and Opt...Weiyang Tong
The document describes research on developing a consolidated visualization platform to compare the energy production potential of different wind farm layouts under varying land area and capacity constraints. Multiple bi-objective optimizations were performed to determine optimal layouts that maximize capacity factor while minimizing land area per MW installed. The results were visualized in a GUI-based land shape chart to show how the optimal land shapes change with different constraints. The research aims to help wind farm planning by comparing trade-offs between energy production and land usage.
The document discusses the design and layout considerations for wind farms. Key factors in wind farm design include careful siting of turbines, roads, and cables to maximize energy production while allowing for future development. Micrositing aims to optimize the layout to reduce wake effects and maximize total wind farm output. Important parameters include wind speed, direction, shear, and turbulence data. Software tools can model wind flows and estimate energy yields for different layout configurations. Maintaining sufficient spacing between turbines based on rotor diameter is important to reduce wake impacts on downstream turbines.
Ousainou Demba has over 15 years of experience in RF engineering, design, and optimization for cellular networks including AMPS, TDMA, CDMA, GSM, UMTS, and LTE. He currently works as a consulting RF engineer for T-Mobile performing tasks such as site design, parameter optimization, and troubleshooting. Previously he has held RF engineering roles at Ericsson, Sprint, Cricket Communications, and US Cellular focusing on areas such as network design, deployment, optimization, and performance engineering.
Predicting the Wind: Wind farm prospecting using GISKenex Ltd
A presentation given to the ESRI NZ User Conference in 2012 about the wind prospecting system developed by Kenex using ArcGIS and custom modelling tools.
Predicting the Wind - wind farm prospecting with GISKenex Ltd
A new and original approach to wind farm development using advanced GIS modelling techniques, that allows developers to cut time and costs at the beginning of a project.
This document discusses wind resource assessment in Meghalaya, India. It provides an overview of wind studies conducted in Meghalaya, including wind monitoring stations that have been set up. It discusses the process of wind resource assessment, including anemometry to measure wind speed and direction. Metrics used to characterize the wind resource such as wind shear, Weibull parameters, and turbulence intensity are presented. The document also discusses stand-alone and hybrid wind-solar energy systems, including specifications and costs. It proposes adding more wind-solar hybrid capacity and additional wind monitoring stations in Meghalaya over the next few years.
The document describes a GIS suitability analysis conducted by SRP to identify optimal locations for electric vehicle charging stations within their service territory. It utilized criteria like load capacity, land use, traffic patterns, customer segments, and existing EV locations. The analysis weighted and combined this data to identify potential station sites. It concluded the process was repeatable and noted future planning should consider development partners. The analysis aimed to determine the best locations to develop EV stations to support the projected growth of EVs in SRP's service area.
The document discusses K parameters used in propagation models. K1-K2 relate to path loss intercept and slope. K3-K4 relate to mobile height. K5-K6 relate to effective base station antenna height and how it affects path loss. K7 relates to diffraction effects. All K parameters must keep the same polarity as the original Okumura-Hata model. Model tuning aims to minimize standard deviation error and provide zero mean error to accurately characterize network limits and propagation effects in a given region. Continuous wave drive tests are conducted to collect data for model tuning.
Using IoT to Enable Smart Cities and Smart Infrastructure | AWS Public Sector...Amazon Web Services
With cities becoming the gravitational center of people’s lives, it’s understandable that city leaders all around the world are working hard to improve the quality of life of their citizens and increase the number of useful services. Projects around smart cities are gaining attention in several countries, with administrators, industry, and citizens working together to enhance our cities. As the number of initiatives grows, so does the need to increase the IT infrastructure to support both the growing set of citizens’ services and the amount of data storage needed for these projects. That’s where cloud computing comes in. Come learn how the AWS cloud enables cities to obtain a flexible, secure, and cost-effective IT infrastructure.
This document summarizes a presentation on wind plant reliability given at a Sandia workshop. It discusses the need to take a holistic plant-level view of wind reliability rather than focusing on individual turbines. Current challenges include incomplete understanding of complex wind flows, limited data exploitation, and modeling capabilities lagging behind. Improved engineering practices, models validated with field data, and new technologies are needed, as well as leveraging internal R&D and external collaborations. Concerted field tests and simulations validated with measurement data are key to advancing modeling capabilities and overcoming barriers to new technologies.
1) NREL is a national laboratory operated by the Alliance for Sustainable Energy, LLC that focuses on energy efficiency and renewable energy.
2) The presentation discusses options for quantifying solar resource from measurements including horizontal and inclined surfaces, and methods for transposing horizontal irradiance data to plane of array irradiance.
3) It notes that isotropic models used to approximate this transposition can underestimate plane of array irradiance by 5-20% compared to using anisotropic physics models that better simulate cloud conditions and solar radiances.
Solar Energy Assessment for Community Energy PlanningLeonardo ENERGY
A comprehensive, multi-step approach to assessing solar energy opportunities for regional development and community energy planning is presented by Green Power Labs (Canada).
The document discusses modeling energy losses from snow on photovoltaic (PV) systems using the System Advisor Model (SAM). It describes a snow loss model implemented in SAM that estimates snow coverage over PV modules based on factors like system tilt, irradiance, temperature and snow depth. The model was validated against measurements from two PV systems, showing much better accuracy when including snow losses. National modeling for the U.S. estimated average snow losses by region and their correlation with total snow depth. Future work may consider snow losses for tracking systems or improving accuracy at shorter timescales.
Prism Solar Technologies conducted a multi-year study of bifacial solar module energy gains under various field conditions. The study found that bifacial modules produced significantly higher energy yields than monofacial modules under different tilt angles, heights, albedos, and orientations. For example, at a site in Tucson, AZ with a ground albedo of 77% and module height of 0.76m, the bifacial modules produced 36.8% more energy than the monofacial reference modules. However, standard STC ratings do not accurately represent the true energy generation potential of bifacial modules under real-world conditions.
The document discusses providing climate informatics services using reanalysis data to help commercial clients with decision making regarding commodities affected by weather and climate. It proposes a tiered approach, beginning with free monthly reports analyzing reanalysis data and maps. A subscription service would offer more detailed analysis and custom indices for specific commodity sectors. The goal is to help identify extreme weather events that could significantly impact commodity prices and help quantify climate-related risks.
Transmission Distribution World September 2010 - Spatial Data AccuracyJustin Eldridge
EnergyAustralia undertook a project to improve the accuracy of its digital cadastre database (DCDB) which contained inaccurate spatial data, posing safety risks. It collaborated with other utilities, government agencies, and a contractor to adjust over 1 million land parcels and network assets. This involved analyzing source data, identifying required shifts, maintaining parcel shapes, and quality assurance. The project significantly improved safety and allowed more efficient network management, design, and maintenance through integrated accurate spatial data.
The Unheralded Value In Offshore Wind An Evaluation Using pCoudAnalyticsKofi Amoako-Gyan
This document analyzes the benefits of incorporating offshore wind power into the New England electric grid using power system modeling software. It finds that adding offshore wind reduces costs, emissions, and locational marginal prices. Specifically:
- Adding 1200MW of offshore wind reduces natural gas usage by 6.5% and coal by 5.6%, lowering emissions of CO2 by 3.24 million tons, SO2 by 2,859 tons, and NOx by 1,121 tons.
- Offshore wind decreases operating costs for fuels and maintenance in the region based on the size of installation, with 1200MW saving over $100 million.
- Wholesale electricity costs paid by consumers are also reduced, as the modeling
Multi-Objective WindFarm Optimization Simultaneously Optimizing COE and Land ...Weiyang Tong
This document summarizes research into optimizing the cost of energy (COE) and land footprint of wind farms under different land plot availability scenarios. The researchers use a multi-objective mixed-discrete particle swarm optimization algorithm to simultaneously minimize COE and land footprint per MW installed. They model wind farm energy production and costs, propose a layout-based land usage model, and define the multi-objective optimization problem with mixed integer variables and nonlinear constraints. A case study is presented to investigate how varying land plot availability impacts the optimal tradeoffs between COE and land footprint, and regulates the resulting optimal wind farm layout designs.
A Consolidated Visualization of Wind Farm Energy Production Potential and Opt...Weiyang Tong
The document describes research on developing a consolidated visualization platform to compare the energy production potential of different wind farm layouts under varying land area and capacity constraints. Multiple bi-objective optimizations were performed to determine optimal layouts that maximize capacity factor while minimizing land area per MW installed. The results were visualized in a GUI-based land shape chart to show how the optimal land shapes change with different constraints. The research aims to help wind farm planning by comparing trade-offs between energy production and land usage.
The document discusses the design and layout considerations for wind farms. Key factors in wind farm design include careful siting of turbines, roads, and cables to maximize energy production while allowing for future development. Micrositing aims to optimize the layout to reduce wake effects and maximize total wind farm output. Important parameters include wind speed, direction, shear, and turbulence data. Software tools can model wind flows and estimate energy yields for different layout configurations. Maintaining sufficient spacing between turbines based on rotor diameter is important to reduce wake impacts on downstream turbines.
Ousainou Demba has over 15 years of experience in RF engineering, design, and optimization for cellular networks including AMPS, TDMA, CDMA, GSM, UMTS, and LTE. He currently works as a consulting RF engineer for T-Mobile performing tasks such as site design, parameter optimization, and troubleshooting. Previously he has held RF engineering roles at Ericsson, Sprint, Cricket Communications, and US Cellular focusing on areas such as network design, deployment, optimization, and performance engineering.
Predicting the Wind: Wind farm prospecting using GISKenex Ltd
A presentation given to the ESRI NZ User Conference in 2012 about the wind prospecting system developed by Kenex using ArcGIS and custom modelling tools.
Predicting the Wind - wind farm prospecting with GISKenex Ltd
A new and original approach to wind farm development using advanced GIS modelling techniques, that allows developers to cut time and costs at the beginning of a project.
This document discusses wind resource assessment in Meghalaya, India. It provides an overview of wind studies conducted in Meghalaya, including wind monitoring stations that have been set up. It discusses the process of wind resource assessment, including anemometry to measure wind speed and direction. Metrics used to characterize the wind resource such as wind shear, Weibull parameters, and turbulence intensity are presented. The document also discusses stand-alone and hybrid wind-solar energy systems, including specifications and costs. It proposes adding more wind-solar hybrid capacity and additional wind monitoring stations in Meghalaya over the next few years.
The document describes a GIS suitability analysis conducted by SRP to identify optimal locations for electric vehicle charging stations within their service territory. It utilized criteria like load capacity, land use, traffic patterns, customer segments, and existing EV locations. The analysis weighted and combined this data to identify potential station sites. It concluded the process was repeatable and noted future planning should consider development partners. The analysis aimed to determine the best locations to develop EV stations to support the projected growth of EVs in SRP's service area.
The document discusses K parameters used in propagation models. K1-K2 relate to path loss intercept and slope. K3-K4 relate to mobile height. K5-K6 relate to effective base station antenna height and how it affects path loss. K7 relates to diffraction effects. All K parameters must keep the same polarity as the original Okumura-Hata model. Model tuning aims to minimize standard deviation error and provide zero mean error to accurately characterize network limits and propagation effects in a given region. Continuous wave drive tests are conducted to collect data for model tuning.
Using IoT to Enable Smart Cities and Smart Infrastructure | AWS Public Sector...Amazon Web Services
With cities becoming the gravitational center of people’s lives, it’s understandable that city leaders all around the world are working hard to improve the quality of life of their citizens and increase the number of useful services. Projects around smart cities are gaining attention in several countries, with administrators, industry, and citizens working together to enhance our cities. As the number of initiatives grows, so does the need to increase the IT infrastructure to support both the growing set of citizens’ services and the amount of data storage needed for these projects. That’s where cloud computing comes in. Come learn how the AWS cloud enables cities to obtain a flexible, secure, and cost-effective IT infrastructure.
This document summarizes a presentation on wind plant reliability given at a Sandia workshop. It discusses the need to take a holistic plant-level view of wind reliability rather than focusing on individual turbines. Current challenges include incomplete understanding of complex wind flows, limited data exploitation, and modeling capabilities lagging behind. Improved engineering practices, models validated with field data, and new technologies are needed, as well as leveraging internal R&D and external collaborations. Concerted field tests and simulations validated with measurement data are key to advancing modeling capabilities and overcoming barriers to new technologies.
"The Golden Age of Geospatial Data Science and Engineering" presented as the inital lecture in the Geospatial Data Science Distinguished Speaker Series at the University of Illinois, Urbana-Champaign. Series organized and presented by Professor Shaowen Wang, Head of the Geography and Geographic Information Science Department.
"Data Science is in a golden age. The mathematical foundations of Data Science, known for many years, are now seeing broad applicability due to engineering advances in cloud and big data computing and due to the explosive availability of data about nearly every aspect of human activity coming from mobile devices, remote sensing and the Internet of Things. Nearly all of this data has components of location and time leading to stunning advances in geospatial data science. Development of intelligent systems using knowledge models leading to insights and understanding have the potential to significantly transform geospatial data sciences. To achieve the fullest extent of their potential, these innovations require establishment of open consensus standards. This talk will review recent developments in innovations, standards, and applications of geospatial data science and engineering."
Disaster response involves rapid integration of diverse data sources in order to derive spatial information critical to an effective disaster response. This presentation will look at a range of use cases where FME has been used in both disaster response scenarios and practical applications. Safe participated in a recent OGC Testbed that involved a flood disaster response scenario for the San Francisco Bay area. A number of national mapping and environment agencies use FME for managing their flood data, weather data and disaster response resources. Typical disaster response workflows and formats will also be reviewed, including how FME works with DEMs, imagery, time series data and live web feeds to integrate real time with base map data and provide the results planners need to respond effectively. FME's strong support for open standards related to emergency response will also be discussed.
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...John Dirkman, PE
This document discusses optimizing distributed energy resources (DER) like solar, wind, storage and demand response for electric grid applications. It describes Nexant, a firm that provides energy software and consulting. Nexant's software helps utilities integrate DER into planning, operations and markets. The document outlines how DER value depends on aligning characteristics with grid needs, and how their placement can mitigate peak risks. It concludes utilities should optimize both utility and customer-owned DER on their networks.
The Havsnäs Pilot Project had three main goals: 1) to help remove barriers to large scale onshore wind development in northern Sweden by studying nature impacts, project finance, and foundation design; 2) to research technical areas like high hub heights and cold climate effects; and 3) to improve knowledge of wind resource assessment, power performance, and icing impacts. Key findings included that mast spacing affected flow modelling uncertainty, multi-point shear methods best characterized profiles, and remote sensing validated shear above measurement heights. Icing reduced annual yield by an estimated 4.1%.
Improving Weather Information Data Services with FMESafe Software
Iowa Department of Transportation needed to modernize their WeatherView web application which provides weather data to the public. This data comes from both AWOS (Automated Weather Observation System) and RWIS (Roadway Weather Information System) data feeds. The existing WeatherView application used a combination of direct database and REST services. Iowa DOT has moved to an open data model for their geospatial data and wanted to revamp the AWOS and RWIS REST services to provide more data to the public and to be leveraged in multiple applications/solutions.
I leveraged FME due to the complexity of processing the data. The data sources included JSON feeds, database views and an FTP folder. I needed to leverage startup Python Scripts for moving RWIS images between two FTP folders. The Maintenance Office wanted to add a ‘Spatial Buddy Check’ for several sensors on the RWIS data feed to exclude outlier values. Finally, Iowa DOT leverages ArcGIS Online Feature Collections for high availability data feeds. This requires a custom shutdown Python script to update Feature Collections after the AGOL Feature Service is updated.
This presentation will cover the different methods used to modernize the AWOS and RWIS weather data feeds so they could be leveraged by the public and in other geospatial solutions.
WeatherView URL: weatherview.iowadot.gov
Ousainou Demba has over 15 years of experience in RF engineering, including design and optimization of cellular networks for technologies such as CDMA, GSM, UMTS, and LTE. He has worked for companies such as Ericsson, Sprint, Cricket Communications, and US Cellular, leading optimization teams and projects involving network deployment, parameter tuning, and performance analysis. His background includes roles in design, optimization, and troubleshooting of 2G, 3G, and 4G wireless networks.
UAS Applications for Civil EngineeringUAS Colorado
Presentation provided by Mary Wohnrade, Brendan Thompson and Don Schoen of Wohnrade Civil Engineers at the October 26, 2016 Rocky Mountain UAS Professionals Meetup group.
The document discusses potential uses of unmanned aerial systems (UAS) for remote sensing and mapping applications. It provides an overview of The Sanborn Map Company, which specializes in aerial data collection and processing. The company sees opportunities to integrate UAS technology into its existing service offerings to expand into new markets and services. Example applications discussed include agriculture, ranching, emergency response, and infrastructure inspection. Regulatory issues and business models for UAS services are also covered.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Full-RAG: A modern architecture for hyper-personalization
Location Matters Webinar Slides
1. ALBANY • BARCELONA • BANGALORE
AUGUST 2010
LOCATION MATTERS
GIS-BASED SITE SCREENING, MAP-BASED ASSESSMENTS AND MET TOWER SITING
WITH WINDNAVIGATOR® PROJECT DESIGN GRIDS AND OPENWIND® ENTERPRISE
MATT BAKER
MODELING GROUP MANAGER
BRYON PHELPS
PRODUCT COORDINATOR
AMBER TRENDELL
DIRECTOR OF SALES AND MARKETING
463 NEW KARNER ROAD | ALBANY, NY 12205
awstruepower.com | info@awstruepower.com
30. ALBANY • BARCELONA • BANGALORE August 2010
QUESTIONS
AMBER TRENDELL
DIRECTOR OF SALES AND MARKETING
518-213-0044 EX. 1020
ATRENDELL@AWSTRUEPOWER.COM
463 NEW KARNER ROAD | ALBANY, NY 12205
awstruepower.com | info@awstruepower.com