Understanding how sub-metering benefits multifamily residential owners by providing information at a local level, enabling building occupants and tenant agencies to identify smarter decision about their energy use.
How to obtain energy savings in Data Centre A/C?
Enrico Boscaro, CAREL Group Marketing Manager – HVAC Industrial, has spoken about High Efficiency technologies for
Data Centre Air Conditioning in this webinar organized by Eurovent Middle East
How to obtain energy savings in Data Centre A/C?
Enrico Boscaro, CAREL Group Marketing Manager – HVAC Industrial, has spoken about High Efficiency technologies for
Data Centre Air Conditioning in this webinar organized by Eurovent Middle East
Understanding Load Factor
by Austin Energy
Load factor is an expression of how much energy was used in a time period, versus how much energy would
have been used, if the power had been left on during a period of peak demand. It is a useful indicator for
describing the consumption characteristics of electricity over a period of time.
This presentation discusses methods that municipalities and organizations in Alberta can use to obtain and extract meaning from their energy data.
View this slideshow as a video with narration or read the transcript at
http://arcticfoxenergy.com/alberta/
Datacenter Dynamics ZETTASTRUCTURE, NOV 1 - NOV 2 2016 Nov 02 12:40
Keynote: Full scale energy reuse from a data center: An implementation guide (technical walk-through)
Mattias Ganslandt, CBD, Open District Heating
Regression model for calculating the base load energy using the utility bills.Divyesh Kumar
The research aims to determine if the electricity consumption for the ST. Dana building at University of Michigan, Ann Arbor, can be calculated by using the utility bills and heating degree days for three different academic term. ANCOVA analysis, using R statistics, from the available utility bills and the monthly Heating degree day for past 3 years, showed that there are significant interaction between the heating degree days and the Winter and Fall academic-terms. However, the analysis failed to identify any interaction between the heating degree days and the summer term. Dana building’s base-load electricity consumption was calculated using the regression model for the winter term.
Slides from presentation given by Trystan Lea at http://oshug.org/event/45 regarding heat pump performance monitoring http://openenergymonitor.blogspot.co.uk/2016/02/heat-pump-testing-initial-results.html
The Friends of NELHA presented a 3 part workshop called Energy Efficiency and Auditing Workshop in Hawaii. This slideshow presentation by Dr. Roderick Hinman is the first section which discusses what electricity is, how it is measured, and how you can measure the electrical loads of each appliance in your home to make decisions that can save on your home electric bill.
Gas vs. Electricity for Heat Treatment FurnaccesHTCourses
Gas and Electricity are the two alternative energy sources available for heating of sealed quench furnaces. This presentation compares the two alternatives and discusses in detail the pros and cons of each.
Presentation by Rudy Scott of EMS regarding energy efficiency implementation. Given at GreenPearl.com's Building Owners Cash Flow seminar on May 13, 2009
Prediction of Power Consumption and Leakage Detectionijtsrd
Energy consumption and predictions for residential buildings play an important role within the energy management and system, as the availability and demand of energy resources is the dynamic and seasonal changes. Human beings are unaware of the cost of energy consumed by various appliances and the energy resources available for the next generation. Each appliances in homes will consume different power consumption in different seasons. Accordingly the bill rate changes. Vyshnavi B | Selma P. T | Renin Joy | Sheethal M. S "Prediction of Power Consumption and Leakage Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30589.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30589/prediction-of-power-consumption-and-leakage-detection/vyshnavi-b
Understanding Load Factor
by Austin Energy
Load factor is an expression of how much energy was used in a time period, versus how much energy would
have been used, if the power had been left on during a period of peak demand. It is a useful indicator for
describing the consumption characteristics of electricity over a period of time.
This presentation discusses methods that municipalities and organizations in Alberta can use to obtain and extract meaning from their energy data.
View this slideshow as a video with narration or read the transcript at
http://arcticfoxenergy.com/alberta/
Datacenter Dynamics ZETTASTRUCTURE, NOV 1 - NOV 2 2016 Nov 02 12:40
Keynote: Full scale energy reuse from a data center: An implementation guide (technical walk-through)
Mattias Ganslandt, CBD, Open District Heating
Regression model for calculating the base load energy using the utility bills.Divyesh Kumar
The research aims to determine if the electricity consumption for the ST. Dana building at University of Michigan, Ann Arbor, can be calculated by using the utility bills and heating degree days for three different academic term. ANCOVA analysis, using R statistics, from the available utility bills and the monthly Heating degree day for past 3 years, showed that there are significant interaction between the heating degree days and the Winter and Fall academic-terms. However, the analysis failed to identify any interaction between the heating degree days and the summer term. Dana building’s base-load electricity consumption was calculated using the regression model for the winter term.
Slides from presentation given by Trystan Lea at http://oshug.org/event/45 regarding heat pump performance monitoring http://openenergymonitor.blogspot.co.uk/2016/02/heat-pump-testing-initial-results.html
The Friends of NELHA presented a 3 part workshop called Energy Efficiency and Auditing Workshop in Hawaii. This slideshow presentation by Dr. Roderick Hinman is the first section which discusses what electricity is, how it is measured, and how you can measure the electrical loads of each appliance in your home to make decisions that can save on your home electric bill.
Gas vs. Electricity for Heat Treatment FurnaccesHTCourses
Gas and Electricity are the two alternative energy sources available for heating of sealed quench furnaces. This presentation compares the two alternatives and discusses in detail the pros and cons of each.
Presentation by Rudy Scott of EMS regarding energy efficiency implementation. Given at GreenPearl.com's Building Owners Cash Flow seminar on May 13, 2009
Prediction of Power Consumption and Leakage Detectionijtsrd
Energy consumption and predictions for residential buildings play an important role within the energy management and system, as the availability and demand of energy resources is the dynamic and seasonal changes. Human beings are unaware of the cost of energy consumed by various appliances and the energy resources available for the next generation. Each appliances in homes will consume different power consumption in different seasons. Accordingly the bill rate changes. Vyshnavi B | Selma P. T | Renin Joy | Sheethal M. S "Prediction of Power Consumption and Leakage Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30589.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/30589/prediction-of-power-consumption-and-leakage-detection/vyshnavi-b
The Development of Real-Time Energy Consumption Monitoring using IoTaciijournal
Energy shortage is a global challenge with significant implications for economies, societies, and the environment, including the Philippines. Promoting energy conservation in households is an effective approach to address this issue. In the Municipality of Midsayap, North Cotabato, Philippines, unmonitored energy consumption leads to excessive energy usage in households. To address this problem, this paper aims to research, build, test and implement a Real-Time Energy Consumption Monitoring (RECM) device using IoT technology. The RECM device, equipped with an SCT013 current sensor, enables real-time 24/7 monitoring of energy consumption. The monitored data is displayed in graphical and numerical formats using the Thing Speak cloud storage service. The RECM device was deployed in households, and a survey was conducted to evaluate its functionality and effectiveness. The results indicate that the design of the RECM device is a highly useful and efficient tool for real-time energy consumption monitoring. This paper provides circuit diagrams, wiring diagrams, and the list of materials used to develop the Real-Time Energy Consumption Monitoring (RECM) device using IoT.”
THE DEVELOPMENT OF REAL-TIME ENERGY CONSUMPTION MONITORING USING IOTaciijournal
Energy shortage is a global challenge with significant implications for economies, societies, and the
environment, including the Philippines. Promoting energy conservation in households is an effective
approach to address this issue. In the Municipality of Midsayap, North Cotabato, Philippines, unmonitored
energy consumption leads to excessive energy usage in households. To address this problem, this paper
aims to research, build, test and implement a Real-Time Energy Consumption Monitoring (RECM) device
using IoT technology. The RECM device, equipped with an SCT013 current sensor, enables real-time 24/7
monitoring of energy consumption. The monitored data is displayed in graphical and numerical formats
using the Thing Speak cloud storage service. The RECM device was deployed in households, and a survey
was conducted to evaluate its functionality and effectiveness. The results indicate that the design of the
RECM device is a highly useful and efficient tool for real-time energy consumption monitoring. This paper
provides circuit diagrams, wiring diagrams, and the list of materials used to develop the Real-Time Energy
Consumption Monitoring (RECM) device using IoT.”
The Development of Real-Time Energy Consumption Monitoring using IoTaciijournal
Energy shortage is a global challenge with significant implications for economies, societies, and the
environment, including the Philippines. Promoting energy conservation in households is an effective
approach to address this issue. In the Municipality of Midsayap, North Cotabato, Philippines, unmonitored
energy consumption leads to excessive energy usage in households. To address this problem, this paper
aims to research, build, test and implement a Real-Time Energy Consumption Monitoring (RECM) device
using IoT technology. The RECM device, equipped with an SCT013 current sensor, enables real-time 24/7
monitoring of energy consumption. The monitored data is displayed in graphical and numerical formats
using the Thing Speak cloud storage service. The RECM device was deployed in households, and a survey
was conducted to evaluate its functionality and effectiveness. The results indicate that the design of the
RECM device is a highly useful and efficient tool for real-time energy consumption monitoring. This paper
provides circuit diagrams, wiring diagrams, and the list of materials used to develop the Real-Time Energy
Consumption Monitoring (RECM) device using IoT.”
The purpose of this paper is to examine the need for smart metering of facilities at the branch circuit level and
determine if such implementations would pay back their investment.
Every electrical system needs power as the supply. Power is rated at each and amount of energy is used to accomplish the work. Electrical power is measured in kwhr which is determine by V*I. In the industries high power consumption than the contracted one can lead to severe penalties. Often there are power peak produce by the load co incidence that normally do not work in simultaneously. In order to avoid penalties one solution would be increase in the contracted power according to the maximum resister peak but on contract this will force to pay higher power than it is really needed. Another solution will be avoiding the consumption peaks through a vigilance element that a device of the risk situation or it can disconnect certain noncritical load such as air conditioning compressors lighting and fans. Maximum demand refers to the maximum amount of electrical energy that is being consumed at a given time. The general purpose of maximum demand meter is to monitor and control the maximum power demand in order also can reduced the monthly electricity bill. By using the meter, the user do not have to worry that their electricity bill will increase thus have to pay lot of money on bills. Maximum power demand meter can benefit every user specially factories. The information and also knowledge that been used to produce the meter can benefit the society. Assembly language will be used to design a program for specific purpose which is to monitor and controlling power demand.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Prediction of Power Consumption and Leakage Detectionijtsrd
Energy consumption and predictions in the residential buildings play an important role within the energy management and system, as the availability in the demand of energy resources is dynamic. Human beings are unaware of the value of energy consumed by various appliances and therefore the energy resources available for subsequent generation. Each appliances in homes will consume different power consumption in several seasons. Accordingly the bill rate changes. Vyshnavi B | Selma P. T | Renin Joy | Sheethal M. S "Prediction of Power Consumption and Leakage Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31491.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31491/prediction-of-power-consumption-and-leakage-detection/vyshnavi-b
DESIGN AND IMPLEMENTATION OF A WIRELESS SENSOR AND ACTUATOR NETWORK FOR ENERG...ijesajournal
This paper describes the design, implementation, and testing of a wireless sensor and actuator network for monitoring the energy use of electric appliances in a home environment. The network includes energy measurement nodes and a central server, where the nodes read the energy use of connected appliance, and wirelessly report their readings to the central server for processing. The server displays the readings from
these nodes via a user visual interface in real time. Through this system, users can easily understand their electricity usage patterns and adapt their behaviour to reduce their energy consumption and costs. Moreover, users are able to remotely power on/off individual devices to actively control the power use of certain appliances. The system allows for inexpensive monitoring of home energy use and illustrates a practical way to control the energy consumption through user interaction.
In today’s commercial buildings, installing an effective
WAGES (water, air, gas, electricity, steam) metering
system can be a source of substantial energy and cost
savings. This white paper examines WAGES metering
as the essential first step toward a comprehensive
energy management strategy. Best practices for
selecting meters, and identifying metering points are
described. In addition, metrics for measuring gains in
energy efficiency are explained.
Nbi e source_emr_plug_loads_april_2013_higgins_finalCathy_Higgins
Plug loads in commercial buildings are a growing area of energy use. They can be as much as 50% of total energy use in buildings that have addressed other efficiency areas such as the building envelope, glazing, HVAC and lighting. Managing the area of occupant energy use is a high priority to achieve energy reduction targets and climate change policies.
This presentation by Cathy Higgins, Research Director at New Buildings Institute, was given at the E Source Energy Managers Round Table, Boulder CO. in April 2013.
SUSTAINABLE ENERGY
SYSTEMS
1 | P a g e
Table of Contents:
List of Tables: ................................................................................................................................ 1
Introduction: .................................................................................................................................. 2
Energy Audit of New Castle House: .............................................................................................. 2
House Description: .................................................................................................................... 2
Electronic Appliances & Energy Consumption: ......................................................................... 3
Cost of Energy Consumption: ................................................................................................... 5
Potential Saving in Electricity: ....................................................................................................... 5
Energy Saving in Refrigerators: ................................................................................................ 6
Energy Saving in Washing Machine & Dryers: ......................................................................... 6
Energy Saving in Electric Oven: ............................................................................................... 7
Energy Saving in Lighting Load: ............................................................................................... 7
Energy Saving in Water Heating & Space Heating: .................................................................. 7
Summary of Energy and Cost Saving: .......................................................................................... 7
Conclusion: ................................................................................................................................... 8
References: ................................................................................................................................... 9
List of Tables:
Table 1. Household appliances with their wattage and average daily usage ............................... 4
Table 2. Average annual consumption of energy (kWh/year) by the household appliances ........ 4
Table 3. Cost of energy consumption by the appliances annually ................................................ 5
Table 4. Potential saving in energy consumption and saving in energy cost ............................... 8
2 | P a g e
Sustainable Energy System
Introduction:
In any modern societies in the world there are continuously increasing concerns over availability
of energy, energy consumption efficiency and reduction in losses over network. In developed
countries it is a challenging task to achieve sustainability in energy efficiency and growth. On the
other hand for developing countries challenge is to achieve self-reliance and ene.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
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.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
1. Benefit Assessment Plan:
Sub-Metering Buildings
Understanding how sub-metering benefits multifamily residential
owners by providing information at a local level, enabling building
occupants and tenant agencies to identify smarter decision about
their energy use.
2. Goals of the Analysis
Uncover energy hogs; accurate knowledge of where energy is being consumed
is the first step in creating energy savings.
To provide economic incentive recommendations to homeowners (if possible).
Understand the benefit of installing sub-metering devices to justify its cost.
4. Data Overview
Individual power consumption data gathered between December 2006 and November 2010
Measurement of electric power consumption in one household with a one-minute sampling
rate in three connected sub-meters.
Over 2 million instances with about 26K (1.25%) missing data with only date and timestamp.
Submeter 1 Submeter 2 Submeter 3
Main Meter
5. Data Processing
Import Data
Cleanse Data
(handle missing and
not so useful values)
Prepared Data after iterative
transformation until helpful evaluation
Pattern helps
gaining InsightTransform Data
(Data Wrangling and Munging)
6.
7. Initial Insights from the Household Electricity Consumption
0 5 10 15 20 25
Global Active Power
Submeter 1
Submeter 2
Submeter 3
Night Morning Afternoon
Morning power consumption is
highest due to the use of water
heater (AC likely to be not so
much in use during this period of
the day)
Submeter 1
(Kitchen)
12% Submeter 2
(Laundry)
15%
Submeter 3 (AC and
Water Heater)
73%
Electricity consumed by air conditioner
and water heater is three times
more than total consumption
of kitchen and laundry together.
Total power
consumption as well
as for individual
submeters it is
observed that
average electricity
consumption is
lowest in summer
highest in winter.
8. Benefit of Installing Submeters
Looking at data looks like morning consumption of submeter3 is due to the use of water heater.
Ideally AC usage in summer should ideally be higher during afternoon but data shows other ways.
Separate submeter or at least data related water heater would help to see clearer picture. Using
timer may help in energy saving. Introducing dynamic setpoint for HVAC that will help to adjust
depending on outdoor temperature.
Recommendation for Home Owners
Electricity expenses make up a large part of budget, and it’s rising. Control costs by empowering
residents to manage their own usage. It’s a win-win situation.
Curtail load by determining which equipment may be turned down for lower energy
consumption.