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Iot energy 97-09-18

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Iot energy 97-09-18

  1. 1. IoT in Smart Energy Solutions and Challenges Mehdi Ali Soltani 1 linkedin.com/in/mehdi-ali-soltani-315453b7 @mehdialisoltani
  2. 2. Smart Energy Clean Tech Oil & Gas 2
  3. 3. What is Smart Grid A Smart Grid is an electricity network that can intelligently integrate the actions of all users connected to it – generators, consumers and those that do both – in order to efficiently deliver sustainable, economic and secure electricity supplies. Source: European Technology Platform Smart Grids 3
  4. 4. Traditional Power Grid and Smart Grid Characteristics Traditional Power grid Smart Grid Technology Electromechanical: • Traditional energy infrastructure is electromechanical. • No communication between devices. Digital: • employs digital technology allowing for increased communication between devices and facilitating remote control Distribution One-Way Distribution: Power can only be distributed from the main plant using traditional energy infrastructure. Two-Way Distribution: While power is still distributed from the primary power plant, it can also go back up the lines to the main plant from a secondary provider. e.g. solar panels, can put energy back on to the grid. Generation Centralized: Power must be generated from a central location. Distributed: Using smart grid infrastructure, power can be distributed from multiple plants and substations to aid in balancing the load, decrease peak time strains, and limit the number of power outages. 4
  5. 5. Traditional Power Grid and Smart Grid Characteristics Traditional Power grid Smart Grid Sensors Few Sensors: • The infrastructure is not equipped to handle many sensors on the lines. • Difficult to pinpoint the location of a problem and can result in longer downtimes. Sensors Throughout: • Multiple sensors placed on the lines. • Easily pinpoint the location of a problem • Helps reroute power to where it is needed while limiting the areas affected by the downtime. Monitoring Manual: Due to limitations in traditional infrastructure, energy distribution must be monitored manually. Self: The smart grid can monitor itself using digital technology. This allows it to balance power loads, troubleshoot outages, and manage distribution without the need for direct intervention from a technician. 5
  6. 6. Traditional Power Grid and Smart Grid Characteristics Traditional Power grid Smart Grid Control Limited: Difficult to control power infrastructure. Pervasive: With the increased amount of sensors, energy companies have more control over power distribution. Energy and energy consumption can be monitored all the way down the line; from the moment it leaves the power plant, all the way to the consumer. Costumer Choice Fewer: The traditional power grid system infrastructure is not properly equipped to give customers a choice in the way they receive their electricity. Many: Using smart technologies, infrastructure can be shared. Alternative energy companies come on to the grid allowing consumers to have more choice. 6
  7. 7. Smart Grid Benefits Operational Efficiency • Integrate distributed generation • Optimize network design • Enable remote monitoring and diagnostics • Improve asset and resource utilization Energy Efficiency • Reduce system and line losses • Enable DSM offerings • Improve load and VAR management • Comply with state energy efficiency policies Customer Satisfaction • Reduce outage frequency and duration • Improve power quality • Enable customer self-service • Reduce customer energy costs Green • Reduce GHG emission • Integrate renewable generating assets • Comply with Carbon/GHG legislation • Enable wide adoption of PHEV Smart Grid 7
  8. 8. Smart Power Grid Specification • More efficient transmission of electricity • Quicker restoration of electricity after power disturbances • Reduced operations and management costs for utilities, and ultimately lower power costs for consumers • Reduced peak demand, which will also help lower electricity rates • Increased integration of large-scale renewable energy systems • Better integration of customer-owner power generation systems, including renewable energy systems • Improved security 8
  9. 9. Smart Grid Energy Distribution • Line Sensors • Provide data on amount of energy generated • Remote Intelligent Switch • Enabling faster outage restoration • Remote Fault Indicator • Provide precise location of fault • Advanced Inverters • Reduce impact on neighbors’ service quality • Wireless neighborhood Area Network • Integration of smart meter, intelligent switch, line sensors, fault indicator, … • Advance Meter • Provide measurement of electric use 9
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  11. 11. Smart Grid Data Sensing Applications • Power generation Data‐sensing techniques can be used to monitor the generation of electricity, • power quality throughout the grid, • equipment health and capacity, • fault locations, • meter tampering, • load balance between the grid and DER or renewal energy resources in the energy cycle • Storage • In smart grid storing energy from renewable energy sources conditions such as • lead‐acid battery • its temperature • Voltage • state‐of‐charge (SOC) Parameters need to be measured and reported 11
  12. 12. Smart Grid Data Sensing Applications(cont.) • Transmission and distribution data sensing can be used to monitor • substations • transformers • underground lines, and overhead lines • monitor real‐time voltage • current, phase, and frequency information • Consumption • smart meters • heating • ventilation • air conditioning 12
  13. 13. Case Study Solution Connect, monitor and manage electrical devices in real-time to leverage Demand Response Features • Increase energy process cost effectiveness • Enable automatic real-time control / balancing • Capture value from Distributed Energy Resources flexibility and storage • Business Accelerator program 13
  14. 14. Startups Working in Smart Grid The solution is based on the combination of IoT devices and the blockchain technology • IoT devices create a network of nodes in a local Micro-Grid to allow people to exchange energy peer to peer. • Blockchain platform simplifies the management of their transactions. http://www.dajie.eu14
  15. 15. Startups Working in Smart Grid ZOMEHOME intelligently adjusts your heating and cooling schedule to take advantage of cheaper, cleaner energy http://zomepower.com/15
  16. 16. Ohmconnect is a software based power plant. Instead of turning on a dirty coal or gas power plant during times of peak demand, Ohmconnect has hundreds of users reduce their electricity. Best part is that instead of paying dirty gas power plants to turn on, ohmconnect can pay its users to turn down. Energy Efficiency San Francisco Building is an AI-powered building sensing, control and micro-grid company. Our north-star is to enable buildings to generate most of their power locally (via our micro-grid) and distribute & control is via our sensing/control product. We have two products - a hardware unit which consolidates all major sensing equipment that goes in to a building. The second product is the SaaS & mobile (iOS) experience which services as the expert full-time always-on Facility Manager.Energy Efficiency San Francisco 16
  17. 17. ‫مرکزی‬ ‫استان‬ ‫در‬ ‫برق‬ ‫مصرف‬ ‫مدیریت‬ ‫هوشمندانه‬ ‫برنامه‬ ‫تهیه‬ ‫مدیرعامل‬‫گفت‬ ‫مرکزی‬ ‫استان‬ ‫برق‬ ‫نیروی‬ ‫توزیع‬ ‫شرکت‬:‫برنامه‬ ‫تهیه‬ ‫کشاورزان‬ ‫و‬ ‫صنایع‬ ‫ویژه‬ ‫برق‬ ‫مصرف‬ ‫مدیریت‬ ‫هوشمندانه‬ ‫و‬ ‫جامع‬ ‫های‬ ‫مرکزی‬ ‫استان‬‫پیک‬ ‫از‬ ‫گذر‬ ‫برای‬98‫است‬ ‫ضرورت‬ ‫یک‬. ۱۲‫آذر‬۱۳۹۷-۱۷:۳۶‫منبع‬‫خبرآنالین‬ 17
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  19. 19. Smart Oil and Gas Industry 19 Connecting oil and gas industry equipment to the Internet of Things (IoT) and automating processes using sophisticated wireless machine-to-machine (M2M) solutions delivers immense process improvements.
  20. 20. Industrial IoT implementation in the oil and gas 20
  21. 21. IIoT Will Revolutionize the Oil and Gas Industry • Improved Operational Efficiency • Predictive Maintenance • Pipeline and equipment monitoring • Emissions monitoring • Control and release management • Positioning intelligence • Real-Time Data Revenue • Link IoT deployments with business priorities. Decreased Safety Risk • unexpected equipment failure Environmental Footprint • Avoiding Oil Spills • using less energy and emitting less carbon 21
  22. 22. IoT Benefits in Oil & Gas industry Real-Time Field Data Real-time data from IoT endpoints makes supervisors and decision makers capable of monitoring and controlling the entire plant. IoT sensors, installed at various locations, makes it possible to ingest data from multiple sources. Resulting in optimizing Oil and Gas assets and production, from enterprises to wells, the refinery to a smart station. 22
  23. 23. IoT Benefits in Oil & Gas industry End-To-End Connected Pipeline IoT sensors monitor pipeline data like temperature, flow, pressure, etc., that helps in real- time controlling. IoT smart valves are also installed at various points throughout the pipeline to remotely control the flow inside the pipelines. 23
  24. 24. IoT Benefits in Oil & Gas industry Equipment Health Check & Preventive Maintenance With the ability to capture multiple data points from multiple devices simultaneously and use the combined data sets will help determine the health of equipment and forecast any potential failures. The right use of IoT in this space can lead to increase efficiency, prevent failures and downtimes, and predict productivity. With the legacy systems less than 3% of the data captured from equipment has been really harnessed by the Oil and Gas industry 24
  25. 25. IoT Benefits in Oil & Gas industry Maintain A Sustainable • Maintain A Sustainable • With the ability to monitor the assets in a real-time manner and watching data points in conjunction with each other, help predict more accurately potential environment impact and take timely action. 25
  26. 26. Oil and gas Fleet Monitoring • Driver Management • Vehicle tracking and route management • Geo fencing • Tanker Weight Measurement 26
  27. 27. Smart Offshore Rig Monitoring Various equipment like interconnects, machinery and other expensive equipment around the starting point for a pipeline also need to be inspected regularly • Remote monitoring (e.g. particular crack to get it big enough to be seen by a naked eye ) • Improved worker safety on site (measure failures, response time, and inconsistencies) • Improve compliance • Predict issues and take proactive action • Track workers with context awareness (do not enter into the particular areas/danger ) • Improved operations ( e.g. in disaster situation) 27
  28. 28. Pipeline Leakage & Gas Detection • Ingesting real-time equipment status • Real-time Alert system and pipeline Leakage detection • Monitoring pipelines even in Remote areas • Gas detection (Methane, H2S, …) 28
  29. 29. Asset management Automatic reporting Predict analytics Automation of tasks Real time asset information Reminder and alerts Usage Environment Material flow Usage hour Inventory Location 29
  30. 30. Asset Management in IoT Definition • Asset management (also known as asset tracking) is the process of keeping track of your company’s physical assets and their information, including who is using what, where, and when. How Asset Management Works with IoT • You can turn an ordinary asset into an IoT device by attaching a sensor. The sensor automatically sends information about the asset’s status, such as location and possible malfunctions Benefits of Using IoT Asset Management • Extended Asset Life and Optimized Repair and Replace • Improved Efficiency and Reduced Human Intervention • More Effective and Strategic Cost Tracking 30
  31. 31. Asset Management With a proper implementation of an IoT solution for Oil and Gas, the industry can reap the benefit of • real-time tracking of the assets, • trend of utilization of the assets, • history of the assets • increase their efficiency 31
  32. 32. Case study Hydrogen detection, analysis and measurement are a critical challenge in many industries including: • Electric power grid transformers • Petroleum • Chemical • Nuclear power plants • Semiconductor • Industrial hydrogen • And fuel cells http://h2scan.com 32
  33. 33. IoT Sensors Using in Oil & Gas • Remote metering • Cathodic protection • Gas density • Pipeline pressure • Custody transfer meters • Fire / Gas / H2S alarms • Tank levels • Tank batteries • Temperature sensors • Control valves • Flow monitoring • Electricity consumption • Structural health & deformation • Air pollution 33
  34. 34. Conceptual Architecture for Oil & Gas with IoT 34
  35. 35. FaraCloud IoT Platform 35 FaraCloud IoT Platforms Network Operators Devices (Sensors & Actuators) Services Location Messaging Alarm etc. Storage Cloud Storage On-premise High Availability Real Time Storage etc. Application Smart Home Smart Health Tracking Energy … Big Data Analytics Visualization BI Reporting Prediction etc. www.faracloud.ir
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Notes de l'éditeur

  • Energy storage will also be a critical part of the smart grid to store energy from renewable energy sources, whose output varies with weather conditions (e.g., solar panels generate energy only when the sun shines). For energy storage, lead‐acid battery can be used, for which its temperature, voltage, and current need to be monitored 17. Especially, the state‐of‐charge (SOC) is the most important parameter that needs to be measured and reported
  • Simply deploying technology does not automatically create economic value. To create economic value companies should
    http://www.biz4intellia.com/blog/bucket-of-challenges-vs-iot-in-oil-and-gas-industry/

  • arious attributes like caught-in/caught-between/struck-by hazards play a vital role in most of the on-site fatalities in oil and gas extraction. From a statistics report from various sources like from working equipment, moving vehicles, equipment failure, and high-pressure lines show that oil and gas extraction is a very dangerous process with the very hazardous working environment, especially for lone workers.
  • Use Cases for IoT-enabled Asset Management
    Based on the gathered data, IoT-enabled asset management solutions can provide companies with real-time alerts, predictive analytics, automatic reporting, data insights and more. Here are some use cases for IoT-enabled asset management:
    Locations: Automatic location data, asset tracing and geofencing solutions (e.g. utilizing GPS trackers).
    Usage hours: Automatic tracking of usage hours and notifications about reached threshold values (e.g. acceleration sensors).
    Warehouse inventory: Automatic warehouse inventories without any separate inventory events (e.g. BLE beacons).
    Material flows: Automatic tracking and reporting of material flows (e.g. RFID tags).
    Due to the size, price and lifetime of the sensor devices, the use cases for IoT-enabled asset management are often limited to tracking expensive and heavy equipment (trucks, shipping containers, etc.). However, technology is evolving all the time, which enables us to track smaller and less expensive equipment with IoT in the near future. We’ll cover that topic in another blog post – stay tuned!

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