Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.
DEVELOPMENT OF SOFTWARE FOR AUTOMATIC GEOGRAPHIC INFORMATION SYSTEM OF HEAT C...IAEME Publication
Accurate assessment of energy consumption including heat and its fair distribution in multicompartment buildings with centralized heating systems can become a key factor in the field of energy saving and efficiency improvement. Accounting of individual heat consumption is a very complicated problem, its solution is very urgent for housing and utilities services. Advantages in the field of information technologies have resulted in development of innovative intelligent systems which combine engineering tools and software capable to acquire data, process results, and supply this information to consumer. Application of geographic information system for accounting and billing of individual heat consumption in multicompartment buildings makes it possible to improve energy saving. The developed system would enable remote monitoring of heat consumption at various facilities including multicompartment buildings. Intelligent analysis of the acquired data would allow to determine incorrect records by metering devices, to plan future resource consumption, to trace for leakages and emergency situation during heat supply to consumers, thus providing numerous advantages of this system for housing and utilities services.
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/
Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.
DEVELOPMENT OF SOFTWARE FOR AUTOMATIC GEOGRAPHIC INFORMATION SYSTEM OF HEAT C...IAEME Publication
Accurate assessment of energy consumption including heat and its fair distribution in multicompartment buildings with centralized heating systems can become a key factor in the field of energy saving and efficiency improvement. Accounting of individual heat consumption is a very complicated problem, its solution is very urgent for housing and utilities services. Advantages in the field of information technologies have resulted in development of innovative intelligent systems which combine engineering tools and software capable to acquire data, process results, and supply this information to consumer. Application of geographic information system for accounting and billing of individual heat consumption in multicompartment buildings makes it possible to improve energy saving. The developed system would enable remote monitoring of heat consumption at various facilities including multicompartment buildings. Intelligent analysis of the acquired data would allow to determine incorrect records by metering devices, to plan future resource consumption, to trace for leakages and emergency situation during heat supply to consumers, thus providing numerous advantages of this system for housing and utilities services.
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/
Holistic District Heating Grid Design with SimulationX & Green CitySimulationX
Buildings are central elements of future smart grids. Heating and cooling demand are predictable within reason, building mass as well as heating and hot water systems provide inherent storage capacity. Additionally, the fluctuation between peak and average power of a building is much more friendly to the grid than of other network nodes like wind power or electric mobility.
A local heating grid partially supplied by renewable solar heat is currently being built in a town in Bavaria. Heat pump systems provide additional storage capacity for electric grid surplus while they serve as wind energy dump for the local utility company. Cogeneration plants and peak-power boilers provide heat and power in times of low energy coverage. The low temperature heating grid supplies decentral heat pumps, which provide required heat at a much higher temperature level to each building.
The paper describes basic modeling aspects for district heating grids with SimulationX & Green City. An interesting solar-aided grid example helps to identify benefits of a new modeling approach.
Occupant Behavior of a Plus-Energy Building Regarding Monitoring and Standard...SimulationX
Within a monitoring study by the Federal Ministry for Environment, Nature Conservation, Building and Nuclear Safety, 35 residential buildings with future building standards are being analyzed. Two of these buildings (Plus Energy Buildings) are managed and analyzed by the Leipzig University of Applied Science. An energy-plus house produces more energy from renewable energy sources over the course of a year than it imports from external sources. Until now there have been serious differences between planning simulation and measurement. The main reason has been identified as non-matching simulation models. Complex technical building services, associated with the use of new building materials, exceed the possibility of usage for standardized programs. By using monitoring data, this paper describes the influence of tenants in low energy houses by using the Green-City library in SimulationX. The increasing influence of occupants on energy consumption will be illustrated.
Design, fabrication (clean-room environment subcontracting), and characterization of MEMS chemical sensors suitable for integration into embedded systems.
Practical Experiences with Smart-Homes Modeling and SimulationSimulationX
Within the next years, more homes will be equipped with smart metering devices, intelligent devices and home energy management systems (HEMS). The EMS are designed to adapt Demand Side Management (DSM) to households. The goals behind the DSM can vary within the household. It can target shaving the load peaks, minimize CO2 emissions, or minimize the overall energy bill via controlling the in-house energy supply resources and intelligent consuming devices. Thus, the EMS represents the dominant ‘smart home’.
Through this contribution, different practices of smart home modeling will be presented in which SimulationX has been integrated under different configurations, software and hardware integrations. The developed models represent the state-of-the art of the current, upcoming and futuristic smart homes. The incentives behind developing these models will be deliberated, along with the economic advantages in its applications within the smart grid. Moreover, the experience behind using SimulationX for evaluating such models will be presented.
Spot trading profits of electricity storage systems in the region covered by ...Maria Kaninia
Powerpoint presentation for conference AIEE Energy Symposium, Rome 2017
Authors: Maria Kaninia, Constantinos Papalucas
Are you interested in source data, Python/Pyomo scripts or results?
The authors would be glad to share. Please contact maria.ev.kaninia at gmail dot com
Nis Bertelsen, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Control Consultants, Inc, (CCI) developed a robust Niagara metering dashboard to address Niagara metering dashboard and aggregation needs! The metering dashboard is for use on any Niagara device and can be used with Honeywell meters, E-mon D-mon Kw meters or any generic pulse meter.
SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities.
http://semanco-visualization-workshop.blogspot.com.es/
La Salle Campus Barcelona, Spain, 11-12 April 2013.
Holistic District Heating Grid Design with SimulationX & Green CitySimulationX
Buildings are central elements of future smart grids. Heating and cooling demand are predictable within reason, building mass as well as heating and hot water systems provide inherent storage capacity. Additionally, the fluctuation between peak and average power of a building is much more friendly to the grid than of other network nodes like wind power or electric mobility.
A local heating grid partially supplied by renewable solar heat is currently being built in a town in Bavaria. Heat pump systems provide additional storage capacity for electric grid surplus while they serve as wind energy dump for the local utility company. Cogeneration plants and peak-power boilers provide heat and power in times of low energy coverage. The low temperature heating grid supplies decentral heat pumps, which provide required heat at a much higher temperature level to each building.
The paper describes basic modeling aspects for district heating grids with SimulationX & Green City. An interesting solar-aided grid example helps to identify benefits of a new modeling approach.
Occupant Behavior of a Plus-Energy Building Regarding Monitoring and Standard...SimulationX
Within a monitoring study by the Federal Ministry for Environment, Nature Conservation, Building and Nuclear Safety, 35 residential buildings with future building standards are being analyzed. Two of these buildings (Plus Energy Buildings) are managed and analyzed by the Leipzig University of Applied Science. An energy-plus house produces more energy from renewable energy sources over the course of a year than it imports from external sources. Until now there have been serious differences between planning simulation and measurement. The main reason has been identified as non-matching simulation models. Complex technical building services, associated with the use of new building materials, exceed the possibility of usage for standardized programs. By using monitoring data, this paper describes the influence of tenants in low energy houses by using the Green-City library in SimulationX. The increasing influence of occupants on energy consumption will be illustrated.
Design, fabrication (clean-room environment subcontracting), and characterization of MEMS chemical sensors suitable for integration into embedded systems.
Practical Experiences with Smart-Homes Modeling and SimulationSimulationX
Within the next years, more homes will be equipped with smart metering devices, intelligent devices and home energy management systems (HEMS). The EMS are designed to adapt Demand Side Management (DSM) to households. The goals behind the DSM can vary within the household. It can target shaving the load peaks, minimize CO2 emissions, or minimize the overall energy bill via controlling the in-house energy supply resources and intelligent consuming devices. Thus, the EMS represents the dominant ‘smart home’.
Through this contribution, different practices of smart home modeling will be presented in which SimulationX has been integrated under different configurations, software and hardware integrations. The developed models represent the state-of-the art of the current, upcoming and futuristic smart homes. The incentives behind developing these models will be deliberated, along with the economic advantages in its applications within the smart grid. Moreover, the experience behind using SimulationX for evaluating such models will be presented.
Spot trading profits of electricity storage systems in the region covered by ...Maria Kaninia
Powerpoint presentation for conference AIEE Energy Symposium, Rome 2017
Authors: Maria Kaninia, Constantinos Papalucas
Are you interested in source data, Python/Pyomo scripts or results?
The authors would be glad to share. Please contact maria.ev.kaninia at gmail dot com
Nis Bertelsen, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Control Consultants, Inc, (CCI) developed a robust Niagara metering dashboard to address Niagara metering dashboard and aggregation needs! The metering dashboard is for use on any Niagara device and can be used with Honeywell meters, E-mon D-mon Kw meters or any generic pulse meter.
SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities.
http://semanco-visualization-workshop.blogspot.com.es/
La Salle Campus Barcelona, Spain, 11-12 April 2013.
Presentation delivered by Tom Baker at Linked Open Data @ AIMS Webinars.
http://aims.fao.org/linked-open-data-webinars-at-aims
http://aims.fao.org/linked-open-data-webinars-at-aims/tom-baker
Abstract
-------------
Linking data into the Semantic Web means more than just making data available on a Web server. It means using Web addresses (URIs) in data as names for things; tagging resources using those URIs - for example, URIs for agricultural topics from AGROVOC; and using URIs to point to related resources.
This talk walks through a simple example to show how linking works in practice, illustrating RDF technology with animated graphics. It concludes with a recipe for linking your data: Decide what bits of your data are most important, such as Subject, Author, and Publisher. Use URIs in your data, whenever possible, such as Subject terms from AGROVOC. Then publish your data in RDF on the Web where others can link to it. Simple solutions can be enough to yield good results.
This presentation was used by me to help teachers at our community school to learn about Lesson Plans and Classroom managment. Feel free to download and use it
Ashwin Shah
We Are Social's comprehensive new Digital in 2016 report presents internet, social media, and mobile usage statistics and trends from all over the world. It contains more than 500 infographics, including global data snapshots, regional overviews, and in-depth profiles of the digital landscapes in 30 of the world's key economies. For a more insightful analysis of the numbers contained in this report, please visit http://bit.ly/DSM2016ES.
Intelligent buildings are buildings that through their physical design and IT installations are responsive, flexible and adaptive to changing needs from its users and the organizations that inhabit the building during its life time.
[DSC Europe 22] Smart-City 4.0 AI-supported transformation of the urban infra...DataScienceConferenc1
More than 75% of world’s energy is consumed in cities and urban areas. The data we need is already here, and the technology that enables us to take control is in operation. Through research and industry projects, we have dealt with buildings, water distribution, urban railway and road transport, city lighting, weather conditions and many other components of smart cities. In this talk, we present possibilities for optimizing the way our cities operate through combination of predictive optimal control theory and machine learning algorithms. We will show how we create decision support or fully automated AI systems that increase energy efficiency, decrease operations costs and increase the living quality in our urban areas.
Matthew Hause: The Smart Grid and MBSE Driven IoT EnergyTech2015
EnergyTech2015.com
Track 3 Session 3
Moderator: Mark Walker
The integration of the Internet of Things (IoT) and MBSE in an Energy System and Complex energy grid management in a changing and dynamic future.
Matthew Hause – Paper 1: Making the Smart Grid Smarter, MBSE Driven IoT The future of IoT success, including technology advancements and revenue generating potential across the business spectrum, is dependent on the application of solid Systems Engineering and Model Based Systems Engineering (MBSE) principals. Without MBSE, the complexity involved in the design, development, and deployment of IoT systems would consume both system and operational providers. Absent of any industry standards, IoT systems cannot be built in a vacuum and their success will only be realized through application of modern day systems engineering processes, methods, and tools. The infrastructure and management will need to be established prior to, or in conjunction with, the smart systems that support them. This paper will show an Energy system and connected systems and how an MBSE and SoS approach will help guide development.
In upcoming generation there is many advancement in electrical grid which make them more reliable. the smart grid was introduced with the aim of overcoming the weaknesses of conventional electrical grids using smart net meters.
Integrating renewables and enabling flexibility of households and buildingsLeonardo ENERGY
Demand response is seen as measure to increase the power system flexibility. Recent developments from research projects and pilots pave the way to large scale deployment and commercialization. This webinar will present the potentials of different DR technologies and different national and international approaches and discusses how flexibility of demand is making its way into markets and network operation. IEA-DSM Task 17 addresses the current role and potential of flexibility in electricity demand and supply of systems of energy consuming/producing processes in buildings (residential and commercial) equipped with DER (Electric Vehicles, PV, storage, heat pumps, ...) and their impacts on the grid and markets.
Linda Drabik - Energy harvesting for IoTWithTheBest
As sensors and actuators are deployed in increasing numbers across greater distances, autonomous devices will become more ubiquitous. For systems that require longer life than a primary battery can deliver, Energy Harvesting offers a promising solution.
Energy Harvesting (EH) is the process by which ambient energy is captured from one or more energy sources and stored for later use. It enables autonomous sensors or switches to perpetually run with little to no maintenance, eliminating the need for connection to an electric grid and overcoming limitations of a battery-only power source with limited energy storage.
While the cost of buying and disposing batteries is a significant consideration, it’s the operational drain of maintenance that makes Energy Harvesting a particularly attractive solution for IoT.
In this presentation:
- Energy Harvesting solutions, including those that convert sources such as light, vibration, and heat into electricity (solar cells, piezoelectric devices, and thermoelectric generators).
- Key considerations for an Energy Harvesting terminal, including optimal capacitor size.
Linda Brabik, Founder/Organizer, IoT NY Meetup
Collecting data of SEAP measures: Which method/indicators is correct? (Velimir Šegon, North-west Croatia Regional Energy Agency) - Zagreb, 10. March. 2016
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
ICT solutions for collecting and analysing data of energy consumption - Damir Lončarić
1. ENERGY
INFORMATION
SYSTEM
ICT solution for
collection and analysis of
data on energy
consuption
Damir Lončarić mag.ing.
City of Zagreb, City Office of Energy,
Enviroment and Sustainablre Development
Dr.sc.Drago Cmuk
Končar, Electronics and Informatics Inc.
2. Main objectives of the EIS
• collecting and storing data on energy consumption
• early detection and alarming in case of breakdowns,
unexpected events and poor energy efficiency
• monitoring and management of energy consumption
• analysis of collected data
• support in consumption planning and energy efficiency
measures
• support in planning investments into energy
refurbishment and monitoring refurbishment projects
• reducing energy consumption
• improving energy efficiency in buildings
• taylor-made tool for facility management
3. Domain of the EIS
• buildings owned by the City of Zagreb
• monitoring energy and water consumption for
about 900 facilities owned by the City of Zagreb
through energy information system
• the average energy consumption of the buildings is
about 275 GWh/a (heating, hot water and
electricity)
• net usable area of objects is about 1.5 mil m²
4. EIS system architecture
• OBJECTS - buildings
• SUBJECTS – users
• DATA :
• static
• related to the object
• related to the subject
• dynamic
• ANALYSIS
• REPORT
5. Static data
1. Static data related to buildings
(objects)
• collection of static data objects is made
from energy audits and energy certificates
of buildings
• area of heating / cooling
Construction characteristics of the
building, the condition of the envelope
• annual heating/cooling demand
• heat losses of the building
• energy source for heating / cooling
• energy classification
• type of implemented renewable energy
• energy and cost savings measures
6. Static data
• 2 .Static data related to users (subjects):
• information about the users
• number of users
• purpose of the use
• hours of use
7. Dynamic data
• 1. consumption of energy and water :
• according to power bills from the energy supplier
(usually on a monthly level) which is entered into the
system manually
• by remote meter devices, on an hourly basis
• 2. daily meteorological data :
• temperature data
• the number of Celsius degree-days of the
heating/cooling season (according to season)
• the amount of solar radiation
• 3. produced energy by RES systems
8. Data models
• hierarchical relations
• between object and subject (by
connection more-more over a time
period)
• relations many to many
• (object, subject, static and dyamic data)
• each object is tied to one or more users
(subjects) that use the object in a specific
period
• Time domain
• objects and users are monitored in a
time domain with regards to the
changes in object use
14. • Integral solution for energy management
• Data collection
• Allows integration with smart technologies (smart metering, demand
response, smart grids …)
• Wide range of date sources
• Import of supplier or distributor data
• Manual input, scanning support (QR)
• Analysis
• Business intelligence reporting
• Advanced analysis based on different criteria and correlation
• Analysis based alarming
• Consumption planning
• Investments planning
EIS – The City of Zagreb
15.
16. • An object can have one or
more users who change
over time (they can use an
object in different periods of
the day)
• They can use one or more
energy sources for different
purposes
• All this changing over time
and while being different for
each energy source
suppliers through time ...
EIS data model
ER diagram – central part
17. EIS – Advanced Metering
Infrastructure
Local area
network
(LAN)
Wide area
network (WAN)
CONCENTRATOR
Dana collection,
alarming, reporting
EIS
ANALYSIS
PLANNING
19. The power of EIS
• Supports hierarchical relationships between objects and subjects
• Support relations many to many (subjects, objects, measurands)
• Supports analysis of the use of the building and all the changes
through time
20. The power of EIS
• Real-time data monitoring and historical analysis of
the data regardless of the source
• Estimates impacts of different scenarios of energy
efficiency
• Comparison of planned and actual consumption
21. The power of EIS
• EE measures management (from the review, the
project, ...) and the combined measure
• Modeling estimates of consumption at the level of
the building, period, energy ...
22. Example scenario
• What is the best way to invest 5 mil € in EE renewal?
• 25 Kindergartens
• 12 schools
• Analysis shows:
• Kindergartens consumes 20 % more heat
• Schools consume 30 % more electricity
• Modeling scenario:
• Adding electrical equipment and public events as a
parameters (lighting & time of use to object school)
• Including temperature prediction model for next year
(warmer year expected)
• Savings will be bigger with schools renewed first!
23. • EIS allows integrated management of energy
• Monitoring
• Planning
• Investment optimization
• The flexibility of the system allows
• analysis of the different user indicators
• extension of the analysis to larger areas in the
hierarchy (street, city district, city) depending only on
the availability of the data
• model adjustment to estimate actual future
consumption
• investment management budget to most effective
way
• support for a new generation Smart metering systems
Conclusion
24. 40 years as part of KONCAR group
Leading regional manufacturer and system integrator:
• ICT systems – Smart Metering, computers and servers, BI
systems, electronic modules production
• Energy sector - excitation systems, protection relays, electric
measurements devices and systems, process informatics,, DC
and AC UPS, renewable energy sources
• Transport - converters and control systems for railway vehicles,
EV chargers
• Main activities:
development, engineering and projecting, production,
testing, commissioning and maintenance of ICT systems
and devices
About Končar – Electronic and
Informatics Inc.