SmartSense range of solutions assist Industrial and Commercial customers in reducing their energy inefficiencies through the use of Energy analytics and control
Training Module on Electricity Market Regulation - SESSION 2 - Market DesignLeonardo ENERGY
This section explains the main properties of different types of electricity markets exhibiting different level of competition and different forms of organisation.
• General market models : vertically integrated companies / single buyer / wholesale competition / retail competition
• Power pools : Price based / Cost based
• Markets with bilateral trade
• Balancing markets
• Power exchanges
An electricity meter is a device for measuring the amount of
electrical energy used by consumers. Where electricity
companies install these meters at every subscriber, such as
homes, factories, administrative and government buildings and...,
after the electrical network is connected to their units to supply
loads such as lighting systems, fans, adaptations, office
appliances and any other equipment with electricity .
These meters may be mono or three-phase depending on the
nature of the contracted loads and electrical power. They may
also be connected directly to the electrical network or be
connected through auxiliary transformers ( current and / or
voltage transformers)
A STUDY OF IOT BASED REAL-TIME SOLAR POWER REMOTE MONITORING SYSTEMijasa
We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.
Training Module on Electricity Market Regulation - SESSION 2 - Market DesignLeonardo ENERGY
This section explains the main properties of different types of electricity markets exhibiting different level of competition and different forms of organisation.
• General market models : vertically integrated companies / single buyer / wholesale competition / retail competition
• Power pools : Price based / Cost based
• Markets with bilateral trade
• Balancing markets
• Power exchanges
An electricity meter is a device for measuring the amount of
electrical energy used by consumers. Where electricity
companies install these meters at every subscriber, such as
homes, factories, administrative and government buildings and...,
after the electrical network is connected to their units to supply
loads such as lighting systems, fans, adaptations, office
appliances and any other equipment with electricity .
These meters may be mono or three-phase depending on the
nature of the contracted loads and electrical power. They may
also be connected directly to the electrical network or be
connected through auxiliary transformers ( current and / or
voltage transformers)
A STUDY OF IOT BASED REAL-TIME SOLAR POWER REMOTE MONITORING SYSTEMijasa
We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.
INTERNET OF THINGS (ONLINE ENERGY MANAGEMENT)FELIDAE SYSTEMS
We propose IOT based solution using which we monitor in real time basis (24x7).Online monitoring helps in remote diagnosis and possible suggested solution; as a result the work force will be targeted to the malfunctioning panel only with suggested solution. Reports can be generated online, and one can monitor anywhere and anytime the performance of electrical parameters by themselves.
An advanced meters which performs smart functions to simplify the billing procedure and to modernize the grids which can be very helpful to the electricity providers and consumers in future. These meters simplifies the tampering and other non technical problems and also offers accurate electricity bills to consumers which avoids paying of high electricity bills.
INTERNET OF THINGS (ONLINE ENERGY MANAGEMENT)FELIDAE SYSTEMS
We propose IOT based solution using which we monitor in real time basis (24x7).Online monitoring helps in remote diagnosis and possible suggested solution; as a result the work force will be targeted to the malfunctioning panel only with suggested solution. Reports can be generated online, and one can monitor anywhere and anytime the performance of electrical parameters by themselves.
An advanced meters which performs smart functions to simplify the billing procedure and to modernize the grids which can be very helpful to the electricity providers and consumers in future. These meters simplifies the tampering and other non technical problems and also offers accurate electricity bills to consumers which avoids paying of high electricity bills.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. About Us
Ecolibrium Energy is a Pioneer in Energy and Demand Side Management Solutions
helping Commercial & Industrial consumers and Power distribution companies to:
1. Increase Operational efficiency and improve productivity
2. Optimize cost of energy
3. Help identify and reduce Losses
Ecolibrium caters to more than 300+ clients across India and South East Asia, with more
than 1000 MW under live monitoring across 45 Million data points on a daily basis from
over 1300 locations
Incubated by Member of Supported by
3. Pioneering Energy Management
India’s first smart power grid demonstration project at the Gujarat Secretariat in Gandhinagar
India’s first model smart micro-grid at Solar energy Centre (SEC) in Gurgaon (MNRE Campus).
India’s first Automated Demand Response (ADR) pilot with Maha Discom (MSEDCL)
Key Awards and Recognitions
Innovators Award by MIT India Power Award
Global Entrepreneurship Award,
Barcelona
Covered under CNBC
Young Turks
Media Coverage
Notable Projects and Clients
4. Our Products
1. SmartSense AEMS
Comprehensive Wireless Energy Management System
for Power, Flow, Temperature, Humidity etc.
2. SmartSense Meter+
Cost effective wireless power monitoring system
for industrial and commercial consumers
3. SmartSense ET
Energy Trading monitoring and power purchase
optimization tool for customers with multiple sources
of power
4. SmartSense Load Manager
Intelligent Wireless load Manager for keeping demand
penalties in check which controls load remotely.
5. SmartSense Furnace
Wireless monitoring and control of furnace bringing in
savings in fuel consumption of the furnace
Ecolibrium’s products, built on its robust E-Grid Platform, targets key issues faced by Utilities, and
Commercial & Industrial Consumers, and builds specific solutions for them
5. Key Problems
Access to real time accurate
data
Un-availability of real time
energy/Physical parameter
data. Manual reading done
Hardware Issues
SCADA/PLC systems are
very expensive and other
data acquisition systems
have very limited hardware
support
Lack of a comprehensive
monitoring
No system for monitoring of
both electrical and physical
parameters from single
System
No data analytics support
Limited or no access to
customized reports and
analytics
Centralized monitoring in
unavailable
No centralized systems for
managing geographically
dispersed locations across
the country
No systems for preventive
action
Lack of alerts for critical
parameters, thus no
preventive measures can be
taken to reduce penalties
The Energy Management processes in the Industrial and Commercial consumers of
the developing world lack the focus on energy optimization and efficiency. This is
mostly due to non-availability of suitable technology
6. The Energy Monitoring Unit (EMU)
LED indicators for:
•Power (Main)
•GPRS Connection
•Data transfer
•Power (Back-up)
Antenna and
Power ON/OFF
switch
Wall Mounting option
Clamps
Wiring Entrance / Exit
• Retrofitting capability: Models include EMU, EMU –M (With meter), and PMU (Physical Monitoring unit). Can integrate
with most third party sensors with RS – 485/232/ 4-20 ma outputs. Has both flush mounting/wall mounting options
• Plug and Play with : Works on embedded GPRSM SIM card. Capability of communication through Zigbee/Ethernet
• Robust: IP 65 enclosure (EMU) with internal memory/battery, in case of GSM/Auxiliary power disruption
• 2 – way communication: Digital outputs for two way communication, and remote switch on/off signal to relay
Energy Monitoring Unit
(EMU)
Physical Monitoring Unit
(PMU)
EMU with A/D converter.
Integration possible with any
sensor with 4-20 ma/RTD
output
Energy Monitoring Unit
with meter (EMU-M)
Integrated multifunction meter
embedded with EMU. Available
in Class 1, 0.5, 0.2s
7. System Architecture: AEMS
Smartsense Energy Monitoring Unit (EMU)
SmartSense Physical parameter Monitoring Unit (PMU)
(Temperature, Humidity, Flow)
8. SmartSense AEMS
SmartSense AEMS comprises of an EMU (Energy Monitoring Unit) for
monitoring electrical and physical parameters, Cloud hosted analytical
dashboard, Daily/Shift-wise Automated customised reports, User configurable
alerts and energy data analytics by experienced energy analysts.
Better data insight
Real time accurate data
from online dashboard
accessible from any
internet enabled device
Hardware Compatibility
Plug and play hardware
which is compatible with
existing sensors/meters
on site with RS-485/4 to
20 mA output
Increased Efficiency
Monitor both electrical and
physical parameters,
helping in co-relating
multiple parameters
Informed decision making
Customized reporting and
energy data analytics
helps in taking more
informed decisions
Resource Optimization
Central monitoring of
multiple locations through
a small team at the NOC,
which optimizes resources
Preventive control
User customizable SMS
and E-Mail alerts for key
situations leading to taking
preventive actions against
anomalies
10. SmartSense Meter+
EMU (Energy Monitoring Unit) integrates 8 meters of same make and model for
live monitoring through online analytics dashboard, which is accessible from
any internet enabled device
Extremely Low Cost
Cost effective automated
reading starting at
Rs.70/meter/month
Wireless and Cloud
Hosted
No requirement for wiring
or local servers, with data
access from any internet
connect PC/Phone
Cross Platform support
No need for specialised
meters, can be retrofitted
with any existing meter
with available RS-485 port
Accurate and Secure
Real time, 100% accurate
data, stored and accessible
from a highly secure web
based dashboard
Automated reporting
Daily, Automated shift-
wise reports without the
need to maintain manual
log-books
Advanced Alerts System
User customizable E-Mail
alerts for key situations to
reduce losses and
penalties
12. SmartSense ET
The SmartSense ET solution include an EMU (Energy Monitoring Unit)
consisting of Class 0.2s meter with wireless communication unit, online
analytics dashboard, Daily Net Benefit Analysis report and Bid Strategy Matrix.
Some of the customised features of the solution include:
Automated reports
Automated Daily 15
Minutes consumption
report
Net Benefit Reports
Daily Net Benefit Analysis
report and
weekly/monthly
performance analysis to
track profits and losses
Bid Optimization
Bid analysis matrix and bid
fine tuning support from
experienced energy
analysts
Online Dashboard
Real time power
consumption graph
available on online
dashboard through a
secure server
Wireless & Cloud Hosted
Installation within hours,
with immediate access
from any internet enabled
device (Laptop/PC/
Phone)
Alerts
User customizable SMS
and E-Mail alerts for key
situations
14. SmartSense Furnace
A comprehensive system consisting of Variable Frequency Drive, Oxygen Sensor
and Energy Monitoring Unit (EMU), creating a closed feedback loop for controlling
and monitoring in-feed air in the furnace through SmartSense Dashboard
Online Dashboard
Wireless and Cloud
hosted monitoring of live
02 levels in the furnace
from any internet
connected PC or phone
Automated Efficiency
Improvement
Control of in-feed air in the
furnace maintaining
optimum combustion
thereby maintaining
product quality
Advanced reporting
Daily automated
customized reports for
efficiency monitoring
Advanced analytics
Analytics support by team
of experienced energy
analysts for improving
Combustion Efficiency
Alerts system
User customizable SMS
and E-Mail alerts for critical
situations such as
inefficiencies, calibration
need, etc.
16. SmartSense Load Manager
An Automated Load Management system which enables Wireless controlling
of Demand with user configurable scheduling of loads.
Wireless Demand
Controller
System is wireless, using
ZigBee for remote
communications
Reduce penalty
Reduce MD penalty
through automated
demand control
Load Scheduling
User configurable
scheduling of loads
depending on production
process and events
Real time data
Availability of live power
consumption data from
the SmartSense
dashboard
Centralized Controlling
Centrally monitor and
control various locations
by a small team through
the NOC
Alerts
Hooter alarms along with
user customizable SMS
and E-Mail alerts for key
situations
20. Snapshot: Smartsense ET
View multiple locations in single dashboard
Set up sms/e-mail
alerts for critical
conditions
Live billing platform showing total
consumption and current load
Net Benefit Analysis for
every 15 minute slot
Generate customized reports
24. Snapshot: Bid Strategy Matrix for ET
The below table shows the Most optimized Bid for a client’s different consumption
range at different Average exchange prices.
Optimal Bid Strategy Matrix
Avg Exchange Price is Rs. 2.4 per kW Rs. 2.5 per kW Rs. 2.8 per kW
Consumption (kWh) Best bid volume for above prices
30,000 - 35,000 1500 kW 1500 kW 1400 kW
35,000 - 40,000 1400 kW 1400 kW 1400 kW
40,000 - 45,000 1800 kW 1700 kW 1500 kW
50,000 - 55,000 2000 kW 2000 kW 1800 kW
55,000 - 60,000 2600 kW 2300 kW 1800 kW
60,000 - 65,000 2200 kW 2000 kW 1800 kW
65,000 - 70,000 2100 kW 2100 kW 1800 kW
70,000 - 75,000 2700 kW 2600 kW 2200 kW
75,000 - 80,000 3200 kW 3100 kW 2300 kW
80,000 - 85,000 3300 kW 3300 kW 3000 kW
25. SmartSense Furnace Dashboard
View multiple locations in single dashboard
Set up sms/e-mail
alerts for critical
conditions
Generate customized reports
Live O2 data on
dashboard
27. Snapshot: Alerts and Reports
Set alerts for multiple locations
Customize alerts based on requirements
Configure sms/e-mail alerts
Select multiple energy
parameters for reporting
Dual format for downloading
reports
29. Type of Organization Pharmaceuticals
No of Locations
64 (Power and
Temperature)
SmartSense AEMS was installed in 15 locations
of Intas Pharma spread across the country to
manage both electrical and physical parameters.
All the 15 locations can be tracked from a single
Network Operations Centre
Impact:
Intas was able to monitoring and optimize its
energy consumption by up to 10% using AEMS
features, and also establish a centralised
monitoring system for all its Cold storage
locations, with SMS alerts on key instances,
leading to lesser stock Rejections
Type of Organization Engineering
No of Locations 11 (Power)
Ecolibrium Energy has installed 11 different
devices across 3 locations of Harsha Engineers
for monitoring electrical parameters. These
systems have been installed both on HT as well
as LT end. Energy tracking is done both centrally
as well as locally in every location.
Impact:
Post successful installation of the devices, the
following impact has been noticed:
1. Increase in PF from 0.78 to 0.93
2. Line loss reduction by 50%
3. Annual energy savings ~Rs.6,80,000
Case Study: Smartsense AEMS
31. Type of Organization Engineering
Furnace Type Fuel Fired
Payback period Less than 8 months
Impact:
Ecolibrium Energy installed the Smartsense Furnace solution in European made fuel fired furnace. The
solution consisted of continuous O2 monitoring and control of blower speed through VFD. The system
improved combustion efficiency by 10% resulting in substantial savings in fuel and power bills
The client also is now able to monitor the efficiency real time from the Smart sense Dashboard, and gets
SMS and Email Alerts on key situations. The Calibration requirement of the O2 Sensor is also tracked on
a timely basis using this system, besides this the system also increases the asset life of the furnace.
The net impact of the efficiency improvement was not only in fuel, but also in product quality.
Case Study: Smartsense Furnace
32. Some Notable Projects
Type of Organization
Indian Railways – Delhi
Metro
Nodes 54
Ecolibrium Energy has created smart
infrastructure for DMRC (Delhi Metro Rail
Corporation) to enable them to monitor all the
substations and view all the electrical data on a
single platform through our SmartSense User
Interface.
Type of Organization
Diverse Business
functions
Nodes 26
Ecolibrium established a Smart Micro Grid at
Mitsui House in Delhi. The system intelligently
manages the battery storage/loads/DG Sets to
ensure minimum utilization. The system also
provides islanding of campus from the
conventional grid by effective management of
power sources.
33. Some Notable Projects
Type of Organization Automobile
Nodes 64
Ecolibrium Energy has installed completely
wireless smart infrastructure to enable the client
to monitor all their locations and sub-locations
and view all the electrical data on a single
platform through the SmartSense User Interface.
Type of Organization Engineering
Nodes 92
Ecolibrium Energy has installed a completely
wireless smart infrastructure for Stovec Industries
to enable them to smartly track the efficiency of
their devices, smart analytics and AC & DC
appliance monitoring