BP is one of the world's leading international oil and gas companies, providing its customers with fuel for transportation, energy for heat and light, retail services and petrochemicals products for everyday items
PrecisionHawk creates an end-to-end aerial data collection system utilizing artificial intelligence to operate an unmanned aerial vehicle and sensors. Their small, hand-launched drone can collect high resolution imagery and data autonomously for applications such as land surveying, agriculture, and security. Through AI, PrecisionHawk is able to automate data collection, processing, and analysis to provide on-demand business intelligence for customers.
The Board of Directors meeting covered strategic planning for BP including a situational analysis, goal selection, implementation, and monitoring. The strategic plan aims to make BP a focused oil and gas company that delivers value through clear priorities, quality portfolio management, and distinctive capabilities. Key goals include relentless safety focus, stronger portfolio management, 50% more operating cash, and corporate social responsibility initiatives like educational spending. The conclusion addresses benchmarking, redevelopment, and impact in the coming years.
The document provides an overview of the core functions within BP including products and services, operations, planning and project management, HR, marketing, finance, IT, and strategic development. It discusses how each function was impacted by the 2010 Gulf of Mexico oil spill and recommendations for improving practices going forward such as stricter operations, intensive crisis planning, and repairing BP's public image. The integration of core functions is also examined in addressing future challenges around increasing global energy demands.
BP is a major British multinational oil and gas company with operations in upstream exploration and production as well as downstream refining, marketing, and trading. It faces challenges from increased regulation, climate change concerns, and negative public perception following the 2010 Deepwater Horizon oil spill. To address these issues, BP can expand partnerships through joint ventures, increase lobbying efforts, invest more heavily in renewable energy and carbon capture technology, and strengthen its marketing to highlight these sustainability initiatives.
The document summarizes BP's response and plans to reverse damage caused by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. BP is committing funds to clean up beaches, restore the tourism and seafood industries, research alternative fuel sources, and hire local workers for clean up. BP is also paying all legitimate claims for damages and monitoring seafood safety.
BP's strategy brief outlines their goals to rebuild trust and shareholder value following the 2010 Gulf of Mexico oil spill. It discusses focusing on safety, strengthening performance, and investing in oil, gas, and alternative energy innovations. BP aims to meet growing global energy demand responsibly by balancing safety with strategic investments and partnerships.
The document discusses BP, an oil and gas company founded in 1908 that is headquartered in London. It describes BP's triple bottom line of profit, people, and planet. On the profit side, BP saw a dramatic decline in profits in the 2000s due to disasters. For people, BP supports charities through the BP Foundation and employee giving. For the planet, BP focuses on operating risk reduction, oil spill response, and disaster relief through partnerships. The document also outlines CSR improvements at BP such as recruiting employees with environmental studies and training workers for environmental crisis response.
PrecisionHawk creates an end-to-end aerial data collection system utilizing artificial intelligence to operate an unmanned aerial vehicle and sensors. Their small, hand-launched drone can collect high resolution imagery and data autonomously for applications such as land surveying, agriculture, and security. Through AI, PrecisionHawk is able to automate data collection, processing, and analysis to provide on-demand business intelligence for customers.
The Board of Directors meeting covered strategic planning for BP including a situational analysis, goal selection, implementation, and monitoring. The strategic plan aims to make BP a focused oil and gas company that delivers value through clear priorities, quality portfolio management, and distinctive capabilities. Key goals include relentless safety focus, stronger portfolio management, 50% more operating cash, and corporate social responsibility initiatives like educational spending. The conclusion addresses benchmarking, redevelopment, and impact in the coming years.
The document provides an overview of the core functions within BP including products and services, operations, planning and project management, HR, marketing, finance, IT, and strategic development. It discusses how each function was impacted by the 2010 Gulf of Mexico oil spill and recommendations for improving practices going forward such as stricter operations, intensive crisis planning, and repairing BP's public image. The integration of core functions is also examined in addressing future challenges around increasing global energy demands.
BP is a major British multinational oil and gas company with operations in upstream exploration and production as well as downstream refining, marketing, and trading. It faces challenges from increased regulation, climate change concerns, and negative public perception following the 2010 Deepwater Horizon oil spill. To address these issues, BP can expand partnerships through joint ventures, increase lobbying efforts, invest more heavily in renewable energy and carbon capture technology, and strengthen its marketing to highlight these sustainability initiatives.
The document summarizes BP's response and plans to reverse damage caused by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. BP is committing funds to clean up beaches, restore the tourism and seafood industries, research alternative fuel sources, and hire local workers for clean up. BP is also paying all legitimate claims for damages and monitoring seafood safety.
BP's strategy brief outlines their goals to rebuild trust and shareholder value following the 2010 Gulf of Mexico oil spill. It discusses focusing on safety, strengthening performance, and investing in oil, gas, and alternative energy innovations. BP aims to meet growing global energy demand responsibly by balancing safety with strategic investments and partnerships.
The document discusses BP, an oil and gas company founded in 1908 that is headquartered in London. It describes BP's triple bottom line of profit, people, and planet. On the profit side, BP saw a dramatic decline in profits in the 2000s due to disasters. For people, BP supports charities through the BP Foundation and employee giving. For the planet, BP focuses on operating risk reduction, oil spill response, and disaster relief through partnerships. The document also outlines CSR improvements at BP such as recruiting employees with environmental studies and training workers for environmental crisis response.
Utilities are installing their own weather monitoring stations to more accurately predict power demand and avoid penalties for incorrect predictions. Industrial-grade weather stations from Texas Electronics provide precise data on conditions and seamlessly integrate into utility systems. This allows utilities like Austin Energy and Owatonna Public Utilities to optimize operations by monitoring demand drivers like temperature, wind and clouds at a local level. Utilities can then safely operate transmission lines at full capacity and accurately forecast gas needs to avoid pipeline penalties.
Forecasting, scheduling and im balance handling forJay Ranvir
This document outlines procedures for implementing a framework for forecasting, scheduling, and imbalance handling for renewable energy (RE) generating stations including wind and solar power parks at the inter-state level in India. Key points:
- The procedure is applicable to RE generators connected to the inter-state transmission system and having over 50MW capacity, as well as solar/wind parks and generators acting as lead/principal generators.
- It defines roles for RE generators, load dispatch centers, regional power committees, and others. Generators must provide forecasts, schedules, real-time data and monthly data. Load centers coordinate scheduling and handle forecasting.
- The procedure covers connectivity applications, scheduling, metering requirements, energy accounting
Forecasting, scheduling and imbalance handling for Solar Wind EnergyJay Ranvir
This document outlines procedures for implementing a framework for forecasting, scheduling, and imbalance handling for renewable energy (RE) generating stations including wind and solar power parks at the inter-state level in India. Key points:
- The procedure is applicable to RE generators connected to the inter-state transmission system and having over 50MW capacity, as well as solar/wind parks and generators acting as lead/principal generators.
- It defines roles for RE generators, load dispatch centers, regional power committees, and others. Generators must provide forecasts, schedules, real-time data and monthly data. Load centers coordinate scheduling and handle forecasting.
- The procedure covers connectivity applications, scheduling, metering requirements, energy accounting
The document discusses the Renewable Regulatory Fund (RRF), a new regulation that will require large wind and solar projects in India to forecast their power generation on a day-ahead basis beginning January 2012. It will aim to better manage the electricity grid as renewable energy capacity increases. The RRF applies to wind farms over 10MW and solar plants over 5MW not sold through power purchase agreements. It also details procedures for scheduling, accounting, and settlement of charges for deviations. REC trading volumes increased significantly in October while prices rose further from previous months.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
OSIsoft White Paper "Impacting the Bottom Line" in O>jeerd Zwijnenberg
In a new era of heightened oil-price volatility, data and technology are crucial in helping operators cut costs and maximise value; 10 real-world examples of oil and gas innovators using data for economic effect
PSO Optimized PID Controller for Interconnected multi-area Power system with ...IRJET Journal
This document summarizes a research paper that models and simulates the load frequency control of a three-area interconnected power system incorporating HVDC transmission. It investigates the system's dynamic performance with PI controllers and with optimized PID controllers using Particle Swarm Optimization. The system is simulated with and without an HVDC link connecting the areas in parallel with existing HVAC ties. Results show that the HVDC link improves settling time and reduces oscillations compared to the HVAC-only system.
The document discusses how United Water New Jersey uses its SCADA and process control systems at its Haworth Water Treatment Plant to both optimize plant operations and participate in demand response programs to reduce energy costs. By monitoring each treatment process, United Water has been able to identify less efficient processes and reduce its kilowatt-hours per million gallons of water by 1/2% to 1%. The SCADA system also allows United Water to reduce load by up to 6.1 MW during demand response events called by PJM, its regional grid operator, helping lower United Water's energy costs. Other water utilities discussed also use advanced process control and partnerships with demand response aggregators to optimize operations while earning payments for reducing load during peaks.
Laying the Groundwork for the New Industrial Age
Digital platforms can transform industries, allowing new ways for businesses to connect and co-create value. Such a platform is needed to serve the unique requirements of industrial companies. Industries such as aviation, healthcare, mining, oil and gas, power generation, and transportation represent upwards of 30% of the global economy, and touch the lives of almost everyone on the planet. These capital-intensive industries have long-lived assets such as aircraft, generators, locomotives, and turbines that are mission-critical and require considerable monitoring and service throughout their 20- to 50-year lives. A big data platform that brings new value to the wealth of data coming from these assets, their processes, and the enterprises in which they exist, will set
the stage for a new wave of productivity gains and information-based services.
A vertical wind turbine monitoring system using commercial online digital das...IJECEIAES
The output of a green energy generator is required to be monitor continuously. The monitoring process is important because the performance of the energy gen- erator needs to be known and evaluate. However, monitoring the generator manu- ally and efficiently is troublesome. Moreover, when most of the energy generator located at uneasy to reach or at a very remote place. Added to the cost, human intervention for the monitoring process contributes to the unnecessary bill. All the highlighted limitations can be overcome using an internet cloud base system and application. Most of the existing data logging instruments use a memory card or personal computer in their operation. The stored data is accessible only at a dedicated computer alone. This work presented a complete energy generator interface with a commercial online digital dashboard. The digital dashboard, parameters of the wind turbine, such as the amount of power generates and the magnitude of instantaneous voltage can be monitored, and the recorded data can be accessed quickly, at any time and anyplace.
HiCosy is an open source energy monitoring platform that can monitor PV plants, wind farms, and residential energy consumption. It uses various connectivity methods to record significant data from the physical layer that can then be accessed on the cloud data layer. The platform offers features like production monitoring, location mapping, performance reports, and alarm notifications to help users monitor their energy systems remotely. It aims to provide simplicity with a buy, connect, and start monitoring process.
UAVs equipped with sensors collect atmospheric data like temperature, pressure, and wind speed at geolocations and transmit it to smart energy grids via radio frequencies. This data is analyzed using a script that validates the information according to climate patterns for that geographic area. The quantified and qualified measurements then determine electricity prices according to daily atmospheric conditions. Blockchain technology provides a framework to validate all the information in this decentralized, peer-to-peer energy trading application between suppliers and customers.
산업인터넷, 빅데이터, 플랫폼, 사례
GE코리아 뉴스레터를 구독하세요! http://goo.gl/IE8WS8
GE코리아 YouTube 채널을 구독하세요! http://goo.gl/M2gc8m
상상을 현실로 만듭니다. Imagination at work.
GE가 꿈꾸는 가치입니다. 아니, GE는 단지 꿈만 꾸고 있는 것이 아닙니다. 상상을 현실로 만들기 위해, 불가능했던 것을 가능하게 만들기 위해 쉬지 않고 움직이고 있습니다. GE는 에너지, 의료, 항공, 수송, 금융 등의 여러 분야에서 고객과 인류사회의 진보를 위해 더 편리하고 빠르며 친환경적인 솔루션을 찾아냅니다.
Connect with GE Online:
GE코리아 웹사이트: http://www.ge.com/kr/
GE리포트코리아: http://www.gereports.kr/
GE코리아 페이스북 페이지: hhttps://www.facebook.com/GEKorea
GE코리아 슬라이드쉐어: http://www.slideshare.net/GEKorea
The document discusses the history and current state of electrical grids and the opportunities for information technology (IT) to create smarter grids, known as "smart grids". Key points include:
- Current grids lack sensors, IT, and ability to self-heal from failures or adapt in real-time. Upgrades are needed for reliability, efficiency, and integration of renewable energy.
- A smart grid would incorporate two-way communication between utilities and consumers using IT to remotely monitor, control, and optimize the grid. This allows for demand response, time-of-use pricing, and automated recovery from failures.
- Research is needed in areas like advanced metering, communications networks, security, fault detection and prevention,
This document discusses performance parameters for evaluating grid-connected photovoltaic (PV) systems. It introduces four key parameters: final PV system yield (Yf), reference yield (Yr), performance ratio (PR), and PVUSA rating. Yf measures energy output normalized to system size. Yr quantifies solar resource. PR evaluates overall system losses by normalizing energy output to solar resource. PVUSA rating estimates system AC power output. The document also discusses methodologies for determining system AC power ratings during design using empirically derived derating factors from measured performance parameters. Comparing estimated to measured performance helps improve rating accuracy.
A Frame Work for Control of Gird Connected Wind Power Using Two Layer ControlIJMTST Journal
Recently, several large-scale wind generation projects have been implemented all over the world. It is economically beneficial to integrate very large amounts of wind capacity in power systems. Unlike other traditional generation facilities, using wind turbines present technical challenges in producing continuous and controllable electric power. With increase in contribution of wind power into electric power grid, energy storage devices will be required to dynamically match the intermitting of wind energy. When wind turbines are connected to a grid, they should always maintain constant power. In order to maintain constant active power, the use of Doubly-Fed Induction Generators (DFIG) with Energy Storage System (ESS) like super capacitor (or) batteries can be used, with a two layer control scheme. In the two layers control there is a high-layer controller known as Wind Farm Supervisory Control (WFSC), which generates the active power (P), Stator Power (Ps), Energy storage power (Pe), DC voltage (Vdc) etc., references for the low-layer WTG controllers. The low-layer controller has two different controls i.e., Grid side controller (GSC) and Rotor side controller (RSC) which are used to control the AC/DC/AC converters of DFIG wind turbines and to generate the desired active power demand specified by the grid operator. Simulation is carried out in Matlab to evaluate the performance of wind farm equipped with 15 DFIG wind turbines with and without ESS to provide a constant active power of 36MW.
Demand response (DR) resources can provide various services to wholesale electricity markets including energy, capacity, and ancillary services depending on the market rules. DR is seen as an important tool for reliable grid operations and preventing market power issues. Federal regulations and funding aim to improve the role of DR by requiring comparable treatment of DR and generation in markets and supporting smart grid demonstration projects. Individual ISO/RTO markets define different products DR can provide and have requirements for metering and communications to enable participation.
This technical report analyzes land-use requirements of modern wind power plants in the United States. It collected and analyzed land-use data from 172 wind power plants totaling over 26 GW of capacity. It found that there are two main categories of land use: direct impact area consisting of infrastructure footprint and temporary construction impacts, and total wind plant area which is less clearly defined. Direct impact area averaged 0.3 hectares/MW while total area averaged 6.0 hectares/MW. Land use varied significantly depending on plant configuration and land cover type. The report provides insights into relationships between these factors and land-use requirements to better understand impacts of wind energy deployment.
Pouring the Foundation: Data Management in the Energy IndustryDataWorks Summit
At CenterPoint Energy, both structured and unstructured data are continuing to grow at a rapid pace. This growth presents many opportunities to deliver business value and many challenges to control costs. To maximize the value of this data while controlling costs, CenterPoint Energy created a data lake using SAP HANA and Hadoop. During this presentation, CenterPoint will discuss their journey of moving smart meter data to Hadoop, how Hadoop is allowing CenterPoint to derive value from big data and their future use case road map.
Crop Prediction using IoT & Machine Learning AlgorithmIRJET Journal
This document describes a proposed system for crop prediction using IoT sensors and machine learning algorithms. Soil moisture, temperature, humidity, light, and rainfall data would be collected from sensors and sent to a server using an Arduino, NodeMCU, and IoT technology. The data would be stored in a MongoDB database and analyzed using machine learning algorithms like decision trees and random forests. The models would be trained to predict the optimal crop to plant based on the environmental conditions. A GUI would display the predicted crop recommendations to farmers based on real-time sensor readings or historical area data, helping farmers increase crop yields through informed decision making. The system aims to improve agricultural output and profits using IoT, machine learning, and predictive analytics
Utilities are installing their own weather monitoring stations to more accurately predict power demand and avoid penalties for incorrect predictions. Industrial-grade weather stations from Texas Electronics provide precise data on conditions and seamlessly integrate into utility systems. This allows utilities like Austin Energy and Owatonna Public Utilities to optimize operations by monitoring demand drivers like temperature, wind and clouds at a local level. Utilities can then safely operate transmission lines at full capacity and accurately forecast gas needs to avoid pipeline penalties.
Forecasting, scheduling and im balance handling forJay Ranvir
This document outlines procedures for implementing a framework for forecasting, scheduling, and imbalance handling for renewable energy (RE) generating stations including wind and solar power parks at the inter-state level in India. Key points:
- The procedure is applicable to RE generators connected to the inter-state transmission system and having over 50MW capacity, as well as solar/wind parks and generators acting as lead/principal generators.
- It defines roles for RE generators, load dispatch centers, regional power committees, and others. Generators must provide forecasts, schedules, real-time data and monthly data. Load centers coordinate scheduling and handle forecasting.
- The procedure covers connectivity applications, scheduling, metering requirements, energy accounting
Forecasting, scheduling and imbalance handling for Solar Wind EnergyJay Ranvir
This document outlines procedures for implementing a framework for forecasting, scheduling, and imbalance handling for renewable energy (RE) generating stations including wind and solar power parks at the inter-state level in India. Key points:
- The procedure is applicable to RE generators connected to the inter-state transmission system and having over 50MW capacity, as well as solar/wind parks and generators acting as lead/principal generators.
- It defines roles for RE generators, load dispatch centers, regional power committees, and others. Generators must provide forecasts, schedules, real-time data and monthly data. Load centers coordinate scheduling and handle forecasting.
- The procedure covers connectivity applications, scheduling, metering requirements, energy accounting
The document discusses the Renewable Regulatory Fund (RRF), a new regulation that will require large wind and solar projects in India to forecast their power generation on a day-ahead basis beginning January 2012. It will aim to better manage the electricity grid as renewable energy capacity increases. The RRF applies to wind farms over 10MW and solar plants over 5MW not sold through power purchase agreements. It also details procedures for scheduling, accounting, and settlement of charges for deviations. REC trading volumes increased significantly in October while prices rose further from previous months.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
OSIsoft White Paper "Impacting the Bottom Line" in O>jeerd Zwijnenberg
In a new era of heightened oil-price volatility, data and technology are crucial in helping operators cut costs and maximise value; 10 real-world examples of oil and gas innovators using data for economic effect
PSO Optimized PID Controller for Interconnected multi-area Power system with ...IRJET Journal
This document summarizes a research paper that models and simulates the load frequency control of a three-area interconnected power system incorporating HVDC transmission. It investigates the system's dynamic performance with PI controllers and with optimized PID controllers using Particle Swarm Optimization. The system is simulated with and without an HVDC link connecting the areas in parallel with existing HVAC ties. Results show that the HVDC link improves settling time and reduces oscillations compared to the HVAC-only system.
The document discusses how United Water New Jersey uses its SCADA and process control systems at its Haworth Water Treatment Plant to both optimize plant operations and participate in demand response programs to reduce energy costs. By monitoring each treatment process, United Water has been able to identify less efficient processes and reduce its kilowatt-hours per million gallons of water by 1/2% to 1%. The SCADA system also allows United Water to reduce load by up to 6.1 MW during demand response events called by PJM, its regional grid operator, helping lower United Water's energy costs. Other water utilities discussed also use advanced process control and partnerships with demand response aggregators to optimize operations while earning payments for reducing load during peaks.
Laying the Groundwork for the New Industrial Age
Digital platforms can transform industries, allowing new ways for businesses to connect and co-create value. Such a platform is needed to serve the unique requirements of industrial companies. Industries such as aviation, healthcare, mining, oil and gas, power generation, and transportation represent upwards of 30% of the global economy, and touch the lives of almost everyone on the planet. These capital-intensive industries have long-lived assets such as aircraft, generators, locomotives, and turbines that are mission-critical and require considerable monitoring and service throughout their 20- to 50-year lives. A big data platform that brings new value to the wealth of data coming from these assets, their processes, and the enterprises in which they exist, will set
the stage for a new wave of productivity gains and information-based services.
A vertical wind turbine monitoring system using commercial online digital das...IJECEIAES
The output of a green energy generator is required to be monitor continuously. The monitoring process is important because the performance of the energy gen- erator needs to be known and evaluate. However, monitoring the generator manu- ally and efficiently is troublesome. Moreover, when most of the energy generator located at uneasy to reach or at a very remote place. Added to the cost, human intervention for the monitoring process contributes to the unnecessary bill. All the highlighted limitations can be overcome using an internet cloud base system and application. Most of the existing data logging instruments use a memory card or personal computer in their operation. The stored data is accessible only at a dedicated computer alone. This work presented a complete energy generator interface with a commercial online digital dashboard. The digital dashboard, parameters of the wind turbine, such as the amount of power generates and the magnitude of instantaneous voltage can be monitored, and the recorded data can be accessed quickly, at any time and anyplace.
HiCosy is an open source energy monitoring platform that can monitor PV plants, wind farms, and residential energy consumption. It uses various connectivity methods to record significant data from the physical layer that can then be accessed on the cloud data layer. The platform offers features like production monitoring, location mapping, performance reports, and alarm notifications to help users monitor their energy systems remotely. It aims to provide simplicity with a buy, connect, and start monitoring process.
UAVs equipped with sensors collect atmospheric data like temperature, pressure, and wind speed at geolocations and transmit it to smart energy grids via radio frequencies. This data is analyzed using a script that validates the information according to climate patterns for that geographic area. The quantified and qualified measurements then determine electricity prices according to daily atmospheric conditions. Blockchain technology provides a framework to validate all the information in this decentralized, peer-to-peer energy trading application between suppliers and customers.
산업인터넷, 빅데이터, 플랫폼, 사례
GE코리아 뉴스레터를 구독하세요! http://goo.gl/IE8WS8
GE코리아 YouTube 채널을 구독하세요! http://goo.gl/M2gc8m
상상을 현실로 만듭니다. Imagination at work.
GE가 꿈꾸는 가치입니다. 아니, GE는 단지 꿈만 꾸고 있는 것이 아닙니다. 상상을 현실로 만들기 위해, 불가능했던 것을 가능하게 만들기 위해 쉬지 않고 움직이고 있습니다. GE는 에너지, 의료, 항공, 수송, 금융 등의 여러 분야에서 고객과 인류사회의 진보를 위해 더 편리하고 빠르며 친환경적인 솔루션을 찾아냅니다.
Connect with GE Online:
GE코리아 웹사이트: http://www.ge.com/kr/
GE리포트코리아: http://www.gereports.kr/
GE코리아 페이스북 페이지: hhttps://www.facebook.com/GEKorea
GE코리아 슬라이드쉐어: http://www.slideshare.net/GEKorea
The document discusses the history and current state of electrical grids and the opportunities for information technology (IT) to create smarter grids, known as "smart grids". Key points include:
- Current grids lack sensors, IT, and ability to self-heal from failures or adapt in real-time. Upgrades are needed for reliability, efficiency, and integration of renewable energy.
- A smart grid would incorporate two-way communication between utilities and consumers using IT to remotely monitor, control, and optimize the grid. This allows for demand response, time-of-use pricing, and automated recovery from failures.
- Research is needed in areas like advanced metering, communications networks, security, fault detection and prevention,
This document discusses performance parameters for evaluating grid-connected photovoltaic (PV) systems. It introduces four key parameters: final PV system yield (Yf), reference yield (Yr), performance ratio (PR), and PVUSA rating. Yf measures energy output normalized to system size. Yr quantifies solar resource. PR evaluates overall system losses by normalizing energy output to solar resource. PVUSA rating estimates system AC power output. The document also discusses methodologies for determining system AC power ratings during design using empirically derived derating factors from measured performance parameters. Comparing estimated to measured performance helps improve rating accuracy.
A Frame Work for Control of Gird Connected Wind Power Using Two Layer ControlIJMTST Journal
Recently, several large-scale wind generation projects have been implemented all over the world. It is economically beneficial to integrate very large amounts of wind capacity in power systems. Unlike other traditional generation facilities, using wind turbines present technical challenges in producing continuous and controllable electric power. With increase in contribution of wind power into electric power grid, energy storage devices will be required to dynamically match the intermitting of wind energy. When wind turbines are connected to a grid, they should always maintain constant power. In order to maintain constant active power, the use of Doubly-Fed Induction Generators (DFIG) with Energy Storage System (ESS) like super capacitor (or) batteries can be used, with a two layer control scheme. In the two layers control there is a high-layer controller known as Wind Farm Supervisory Control (WFSC), which generates the active power (P), Stator Power (Ps), Energy storage power (Pe), DC voltage (Vdc) etc., references for the low-layer WTG controllers. The low-layer controller has two different controls i.e., Grid side controller (GSC) and Rotor side controller (RSC) which are used to control the AC/DC/AC converters of DFIG wind turbines and to generate the desired active power demand specified by the grid operator. Simulation is carried out in Matlab to evaluate the performance of wind farm equipped with 15 DFIG wind turbines with and without ESS to provide a constant active power of 36MW.
Demand response (DR) resources can provide various services to wholesale electricity markets including energy, capacity, and ancillary services depending on the market rules. DR is seen as an important tool for reliable grid operations and preventing market power issues. Federal regulations and funding aim to improve the role of DR by requiring comparable treatment of DR and generation in markets and supporting smart grid demonstration projects. Individual ISO/RTO markets define different products DR can provide and have requirements for metering and communications to enable participation.
This technical report analyzes land-use requirements of modern wind power plants in the United States. It collected and analyzed land-use data from 172 wind power plants totaling over 26 GW of capacity. It found that there are two main categories of land use: direct impact area consisting of infrastructure footprint and temporary construction impacts, and total wind plant area which is less clearly defined. Direct impact area averaged 0.3 hectares/MW while total area averaged 6.0 hectares/MW. Land use varied significantly depending on plant configuration and land cover type. The report provides insights into relationships between these factors and land-use requirements to better understand impacts of wind energy deployment.
Pouring the Foundation: Data Management in the Energy IndustryDataWorks Summit
At CenterPoint Energy, both structured and unstructured data are continuing to grow at a rapid pace. This growth presents many opportunities to deliver business value and many challenges to control costs. To maximize the value of this data while controlling costs, CenterPoint Energy created a data lake using SAP HANA and Hadoop. During this presentation, CenterPoint will discuss their journey of moving smart meter data to Hadoop, how Hadoop is allowing CenterPoint to derive value from big data and their future use case road map.
Crop Prediction using IoT & Machine Learning AlgorithmIRJET Journal
This document describes a proposed system for crop prediction using IoT sensors and machine learning algorithms. Soil moisture, temperature, humidity, light, and rainfall data would be collected from sensors and sent to a server using an Arduino, NodeMCU, and IoT technology. The data would be stored in a MongoDB database and analyzed using machine learning algorithms like decision trees and random forests. The models would be trained to predict the optimal crop to plant based on the environmental conditions. A GUI would display the predicted crop recommendations to farmers based on real-time sensor readings or historical area data, helping farmers increase crop yields through informed decision making. The system aims to improve agricultural output and profits using IoT, machine learning, and predictive analytics
Youngest c m in India- Pema Khandu BiographyVoterMood
Pema Khandu, born on August 21, 1979, is an Indian politician and the Chief Minister of Arunachal Pradesh. He is the son of former Chief Minister of Arunachal Pradesh, Dorjee Khandu. Pema Khandu assumed office as the Chief Minister in July 2016, making him one of the youngest Chief Ministers in India at that time.
केरल उच्च न्यायालय ने 11 जून, 2024 को मंडला पूजा में भाग लेने की अनुमति मांगने वाली 10 वर्षीय लड़की की रिट याचिका को खारिज कर दिया, जिसमें सर्वोच्च न्यायालय की एक बड़ी पीठ के समक्ष इस मुद्दे की लंबित प्रकृति पर जोर दिया गया। यह आदेश न्यायमूर्ति अनिल के. नरेंद्रन और न्यायमूर्ति हरिशंकर वी. मेनन की खंडपीठ द्वारा पारित किया गया
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4. Remote operations centre gives farms
remote control
From BP Wind Energy’s remote operations centre in Houston, all 13
of its farms across seven US states are closely monitored 24/7. The
information relayed back helps them to produce more efficiently,
economically and safely
5. Sitting in a darkened room more than 30 floors above the streets
of downtown Houston, US, a BP Wind Energy operator is able to
tell visitors exactly how much power is being generated on a wind
farm as far away as California—and what the weather’s like there.
6. This is the remote operations centre (ROC), where some 800
million individual data points from BP’s 13 wind farms in seven
states are stored every month. The mass of information allows the
remote operations team to keep a close eye on critical and variable
factors, such as turbine availability, power generation capacity,
market pricing and wind speed.
7. Software collects the data at each individual wind farm, as well as
from weather services and national electric system operators like the
Electric Reliability Council of Texas (ERCOT), which is then
transmitted to Houston. Much of the information is displayed in the
form of pie charts or bar graphs on the centre’s five by 18 feet-long
(1.5 by 5 metre-long) brightly coloured screens—known as ‘the wall’.
It flickers on a regular basis, as numbers adjust in real-time.
8. “The wall gives operators visibility of what is happening at each wind
farm,” says David Grant, director of remote operations and SCADA
(supervisory control and data acquisition) technology for BP Wind
Energy. “We can look at the performance of an individual turbine and
compare it with others from the same manufacturer at a specific wind
farm or across the fleet; we can recognize if equipment starts to
operate outside a normal parameter and react.”