Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.ARC research group
This document summarizes a workshop on innovative methods for energy performance assessment and certification of buildings. The workshop included keynote speeches and presentations from organizations in 8 European countries. It aimed to improve building assessment processes by integrating multiple data sources and using advanced analysis tools to facilitate decision making. Common standards and frameworks are needed to provide quality building performance information to stakeholders involved in renovation. The workshop sought to identify best practices, guidelines, and technologies that can be replicated across member states to efficiently meet energy and renewable goals.
Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.ARC research group
The document discusses the SEMANCO project, which aimed to create a platform using semantic technologies to enable experts from different domains to develop and deploy urban energy models. These models help stakeholders understand carbon reduction in urban areas. The project integrated energy-related data from multiple sources according to an ontology. It developed use cases, activities and three case studies to test the semantic urban energy models and the integrated SEMANCO platform. The platform includes tools for data visualization, simulation and evaluation of urban energy plans and projects.
Energiency provides software and data analytics to help industrial companies improve energy efficiency and reduce costs. Their solutions include monitoring energy and fluid usage in real-time, detecting savings opportunities, predictive modeling, and automatic alerts. Example customers include companies in food and beverage, automotive, paper, chemicals, steel, and glass. Through analyzing historical usage data and live streaming data with machine learning algorithms, Energiency has helped customers achieve energy savings of 2-10% and reduce energy costs.
This document discusses data models for energy efficiency projects. It explains that data models are like recipes that specify ingredients and how to present them. It provides examples of ingredients like buildings data, cadastral data, and energy resources that are relevant to energy efficiency. The document also discusses standards like INSPIRE that can be used to structure this data and notes open data sources that can provide some of these ingredients. However, it acknowledges that current data coverage is incomplete and that harmonizing various data sources is needed to fully understand energy usage and effectively target efficiency projects.
This document introduces Scenario 1 of the SUNSHINE project, which aims to estimate the heating energy needs of residential buildings at a large scale using available spatial data and building properties. It describes using software modules to model and import open geographic data, verify data completeness and correctness, compute energy needs, and visualize/simulate results. The goal is to provide tools to facilitate energy planning and monitoring. The scenario also details estimating typical building heat transmission coefficients and energy consumption based on factors like construction period, U-values, degree days, building shape, and more.
This document discusses the data needed to create an energy map as part of the SUNSHINE project. Mandatory data includes 2D building footprints and attributes like a unique ID, construction period, height, elevation, and main use. Validation data from energy certifications or real consumption is also required at the building level. Optional attributes like the nature, number of units and floors, and refurbishment level can increase accuracy. The next steps will describe providing this data to the SUNSHINE platform to generate the first energy map and more details are in the technical module.
The document discusses the Carbon Benefits Project which aims to provide a standardized methodology for estimating carbon benefits from sustainable land management projects funded by the Global Environment Facility (GEF). The methodology will incorporate models, remote sensing, field measurements, and data management tools to allow projects to measure, monitor, and model carbon stocks and greenhouse gas emissions. It will provide a suite of easy to use but flexible tools accessible via a web portal. The project involves a consortium of research groups who will work with existing GEF projects to develop and test the methodology.
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.ARC research group
This document summarizes a workshop on innovative methods for energy performance assessment and certification of buildings. The workshop included keynote speeches and presentations from organizations in 8 European countries. It aimed to improve building assessment processes by integrating multiple data sources and using advanced analysis tools to facilitate decision making. Common standards and frameworks are needed to provide quality building performance information to stakeholders involved in renovation. The workshop sought to identify best practices, guidelines, and technologies that can be replicated across member states to efficiently meet energy and renewable goals.
Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.ARC research group
The document discusses the SEMANCO project, which aimed to create a platform using semantic technologies to enable experts from different domains to develop and deploy urban energy models. These models help stakeholders understand carbon reduction in urban areas. The project integrated energy-related data from multiple sources according to an ontology. It developed use cases, activities and three case studies to test the semantic urban energy models and the integrated SEMANCO platform. The platform includes tools for data visualization, simulation and evaluation of urban energy plans and projects.
Energiency provides software and data analytics to help industrial companies improve energy efficiency and reduce costs. Their solutions include monitoring energy and fluid usage in real-time, detecting savings opportunities, predictive modeling, and automatic alerts. Example customers include companies in food and beverage, automotive, paper, chemicals, steel, and glass. Through analyzing historical usage data and live streaming data with machine learning algorithms, Energiency has helped customers achieve energy savings of 2-10% and reduce energy costs.
This document discusses data models for energy efficiency projects. It explains that data models are like recipes that specify ingredients and how to present them. It provides examples of ingredients like buildings data, cadastral data, and energy resources that are relevant to energy efficiency. The document also discusses standards like INSPIRE that can be used to structure this data and notes open data sources that can provide some of these ingredients. However, it acknowledges that current data coverage is incomplete and that harmonizing various data sources is needed to fully understand energy usage and effectively target efficiency projects.
This document introduces Scenario 1 of the SUNSHINE project, which aims to estimate the heating energy needs of residential buildings at a large scale using available spatial data and building properties. It describes using software modules to model and import open geographic data, verify data completeness and correctness, compute energy needs, and visualize/simulate results. The goal is to provide tools to facilitate energy planning and monitoring. The scenario also details estimating typical building heat transmission coefficients and energy consumption based on factors like construction period, U-values, degree days, building shape, and more.
This document discusses the data needed to create an energy map as part of the SUNSHINE project. Mandatory data includes 2D building footprints and attributes like a unique ID, construction period, height, elevation, and main use. Validation data from energy certifications or real consumption is also required at the building level. Optional attributes like the nature, number of units and floors, and refurbishment level can increase accuracy. The next steps will describe providing this data to the SUNSHINE platform to generate the first energy map and more details are in the technical module.
The document discusses the Carbon Benefits Project which aims to provide a standardized methodology for estimating carbon benefits from sustainable land management projects funded by the Global Environment Facility (GEF). The methodology will incorporate models, remote sensing, field measurements, and data management tools to allow projects to measure, monitor, and model carbon stocks and greenhouse gas emissions. It will provide a suite of easy to use but flexible tools accessible via a web portal. The project involves a consortium of research groups who will work with existing GEF projects to develop and test the methodology.
GHG emission reduction due to energy efficiency measures under climate policyIEA-ETSAP
This document summarizes the results of a study analyzing the impact of energy efficiency measures on greenhouse gas (GHG) emissions under different climate policy scenarios. The study used three energy-economic models, including TIAM-ECN, and focused on G20 countries through 2030. The results showed that energy efficiency measures could reduce global GHG emissions by 15-25% by 2050 in a cost-effective manner. Higher reductions occurred in the near-term (2020-2030). Energy efficiency in the power sector, industry and transport offered significant opportunities, especially in China, India, and the U.S. The models agreed that energy efficiency could offset cumulative emissions by 2-3 gigatons of CO2 equivalent by
In this webinar Leonardo Meeus (Part-time Professor Florence School of Regulation and Scientific coordinator THINK project) presents the THINK report on Cost Benefit Analysis in the context of the Energy Infrastructure Package. Leonardo explains the relevance of the CBA method in this package as well as the aim to develop a single CBA method to assess benefits and costs of Electricity Projects of Common Interest (CPIs).
Seyeol Yoon - Korea - 6th OECD Workshop on strategic crisis managementOECD Governance
Presentation by Seyeol Yoon, Deputy Director, Public Safety Policy Office, Ministry of Public Safety and Security, Korea, at the 6th Workshop on Strategic Crisis Management in Geneva on 12-13 June 2017. The event was organised by the OECD and the Swiss Federal Chancellery, bringing together government crisis managers and practitioners from international organisations, industry and leading think-tanks to share strategic insights and cutting-edge policy responses. For further information please see http://www.oecd.org/governance/6th-workshop-strategic-crisis-management.htm
The document discusses a project called WATTALYST that aims to reduce energy consumption during peak load periods. The project observes household energy usage using advanced meters, infers load profiles and user context through data mining, and informs users of peak prices and suggestions to reduce usage via SMS, displays and apps. The Athens University of Economics and Business is responsible for developing microeconomic models of energy producers and consumers to derive efficient consumption and incentive schemes for the demand response program, and study the sustainability and feasibility of the WATTALYST approach.
The document describes the Citizen Meteorologist Program started by a museum in Brazil to address educational and climate issues. The program collects weather data from standard weather stations operated by students to promote understanding of meteorology and climate change. It has educational goals of involving students in long-term learning of meteorological issues and providing feedback to help them understand relationships between variables and urbanization's impact on microclimate. The program is decentralized, with local coordinators supporting student teams and an internet interface for collecting, viewing, and comparing weather data.
Commercialising Grid-Scale Energy Storage Congress 2015 - Programme BrochureAurore Colella
After months of research with utilities across Europe involved in Energy Storage applications, a few things are clear-cut. Stakeholders want to:
- Cut through the technology hype
- Objectively assess the specific applications of grid-scale energy storage across the electricity supply chain
- And very importantly, hear commercial, business case-driven case studies to adopt and implement rather than reinvent the wheel.
For this reason, the Commercialising Grid-Scale Energy Storage Global Congress 2015, taking place in London on 25-26 November, has partnered up with leading European utilities, grid operators, the European Commission and other stakeholder groups to demonstrate and deliver actual results from pilot studies and the future road for commercialising energy storage applications across power generation, distribution and transmission.
The carefully selected case studies will benchmark progress, shape future plans and establish ROI from grid-scale energy storage applied to the entire electricity supply chain.
For just a moment, think of the immense amount of data generated by Earth-observing systems. The sheer volume often makes it impractical for humans alone to perform the analysis, and accordingly, many groups are turning to artificial intelligence (AI) and machine learning (ML) algorithms to support their analysis. We'll hear from Development Seed and EOS about how they are using AI and ML to unlock the power of this planetary-scale data that is becoming increasingly more accessible in the cloud. From open-source libraries and human-in-the loop initial processing passes, to fully automated pipelines, we'll examine the new capacity for analysis now possible with technology.
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.
S.1.b Building Energy Pre Certification ServiceSUNSHINEProject
In 2012, the Municipality of Ferrara, Italy signed up to the Covenant of Mayors to reduce greenhouse gas emissions by 25% by 2020 through increased energy efficiency and renewable energy. One action is the SUNSHINE project, which aims to implement an automatic building energy pre-certification service using open geodata to estimate building energy performance at large scale. The municipal departments were involved in modeling geodata on building energy properties. A mobile app was also created to check the accuracy of building properties like age, use, heights during on-site audits.
This document discusses smart metering systems for microgrids. It describes the smart metering system used in the Aalborg University Intelligent Microgrid Laboratory, which collects data from consumers and distributed energy resources through smart meters and transmits it through both local area networks and the internet. It also discusses a Sino-Danish project that will demonstrate a 200 kW hybrid renewable microgrid in Shanghai using Kamstrup's smart metering and data management platform. Future work will focus on implementing this system at the demonstration site and further developing its capabilities for functions like demand response and integration with microgrid energy management systems.
This document summarizes a study on improving energy efficiency in data centers through a cyber-physical approach combining hardware and software monitoring. The study developed an optimization framework that gathers data on environmental, server, and workload parameters in real-time to dynamically adapt and propose optimizations. It deployed a wireless sensor network in a supercomputer data center to monitor inlet/outlet temperatures and other environmental data at adjustable sampling rates, reducing the amount of collected data by up to 68% while still capturing useful information. The approach was tested in a real case study to holistically optimize energy use through integrated IT and cooling system management.
French industrial quantum use cases: EDF
Stéphane TANGUY - CIO & CTO at EDF Labs, EDF, France
Quantum computing main use cases at EDF: material ageing modelling, safety probabilistic study and combinatorial optimization for energy management. Explore the EDF quantum journey to address them.
Energy consumption study of a WSN using 6TiSCH architectureFederico Sismondi
Motivated by the active developments on the industrial automated world and the new technologies arising in the
area of Internet of Things, the IETF, based on IEEE’s existing standards, and some already accepted protocols,
propose a new architecture to satisfy the needs of both fields.
6tisch, the new IETF’s architecture to be studied during our project, aims to give a convergent solution for both
fields that have plenty of common points. It aims to satisfy the requirements of the wireless low powered lossy networks. Among them, we can point out: energy management policy, energy efficient design, link reliability,
robustness, scalability support, interoperability, self organization, end to end reliability, security and mobility
support, as the most noticeable ones.
The project proposed aims to obtain a well founded experience on how the newly developed architecture 6tisch performs in the OpenWSN project. The partner enterprise wants to quantify the energy consumed by the motes in a real use case, with special detail on how the different parameterizations of the protocol stack would affect it.
Due to the increasing need of networks relying on low energy consumption, our project will analyze from the
lowest layers of the protocol stack how 6tish architecture performs energywise and how the different mechanisms like routing table construction, message forwarding function, scheduling of the TSCH slots, and many others will perform.
The document discusses a study conducted to determine the least cost generation capacity mix for the CSIR campus in Pretoria from 2016-2022 under different energy usage scenarios. The study used PLEXOS modeling software to optimize the capacity of new solar PV, wind, biogas, and battery installations to minimize total electricity costs while meeting campus demand and considering Tshwane's time-of-use electricity tariff structure. The results show that optimizing renewable capacity additions can significantly reduce total electricity costs compared to maintaining only existing renewable systems.
The document summarizes CESGA's energy efficiency plan (CEEP) to reduce costs and energy consumption. Before the plan, an analysis found opportunities to improve systems like climatization, lighting, and computing. The plan outlined activities like monitoring upgrades, increasing temperature setpoints, closing cold aisles, and server consolidation. Metrics like PUE were used to measure impact. Initial results included savings from mechanisms like power management, free cooling optimization, and temperature decreases from closed cold aisles. Ongoing work focuses on memory, job scheduling, and renewable energy.
The UCSD NSF GreenLight Project aims to make departmental computer clusters more energy efficient. It focuses on instrumenting and publishing real-time energy usage of a campus computing cluster. The goals are to measure energy costs, allow researchers to study efficient computing techniques, and develop software to optimize energy usage. For example, matching algorithms to specialized processors improved mass spectrometry efficiency 300x. The project also explores using solar and fuel cell generated DC power directly for increased efficiency.
Mike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilotjames hamilton
The document discusses stand-alone power systems (SPS) that Western Power has installed in remote areas as an alternative to extending the electricity grid. Six initial SPS units were installed in 2016 to electrify areas at the edge of the grid. The SPS units generate power using solar panels, batteries, and backup diesel generators. The document describes two case studies where customer usage exceeded the capacity of the SPS units, resulting in outages, and lessons learned about conducting more robust energy audits and clear communications with customers. It concludes that Western Power sees potential to deploy over 3,000 additional SPS systems as the technology replaces aging rural infrastructure.
GHG emission reduction due to energy efficiency measures under climate policyIEA-ETSAP
This document summarizes the results of a study analyzing the impact of energy efficiency measures on greenhouse gas (GHG) emissions under different climate policy scenarios. The study used three energy-economic models, including TIAM-ECN, and focused on G20 countries through 2030. The results showed that energy efficiency measures could reduce global GHG emissions by 15-25% by 2050 in a cost-effective manner. Higher reductions occurred in the near-term (2020-2030). Energy efficiency in the power sector, industry and transport offered significant opportunities, especially in China, India, and the U.S. The models agreed that energy efficiency could offset cumulative emissions by 2-3 gigatons of CO2 equivalent by
In this webinar Leonardo Meeus (Part-time Professor Florence School of Regulation and Scientific coordinator THINK project) presents the THINK report on Cost Benefit Analysis in the context of the Energy Infrastructure Package. Leonardo explains the relevance of the CBA method in this package as well as the aim to develop a single CBA method to assess benefits and costs of Electricity Projects of Common Interest (CPIs).
Seyeol Yoon - Korea - 6th OECD Workshop on strategic crisis managementOECD Governance
Presentation by Seyeol Yoon, Deputy Director, Public Safety Policy Office, Ministry of Public Safety and Security, Korea, at the 6th Workshop on Strategic Crisis Management in Geneva on 12-13 June 2017. The event was organised by the OECD and the Swiss Federal Chancellery, bringing together government crisis managers and practitioners from international organisations, industry and leading think-tanks to share strategic insights and cutting-edge policy responses. For further information please see http://www.oecd.org/governance/6th-workshop-strategic-crisis-management.htm
The document discusses a project called WATTALYST that aims to reduce energy consumption during peak load periods. The project observes household energy usage using advanced meters, infers load profiles and user context through data mining, and informs users of peak prices and suggestions to reduce usage via SMS, displays and apps. The Athens University of Economics and Business is responsible for developing microeconomic models of energy producers and consumers to derive efficient consumption and incentive schemes for the demand response program, and study the sustainability and feasibility of the WATTALYST approach.
The document describes the Citizen Meteorologist Program started by a museum in Brazil to address educational and climate issues. The program collects weather data from standard weather stations operated by students to promote understanding of meteorology and climate change. It has educational goals of involving students in long-term learning of meteorological issues and providing feedback to help them understand relationships between variables and urbanization's impact on microclimate. The program is decentralized, with local coordinators supporting student teams and an internet interface for collecting, viewing, and comparing weather data.
Commercialising Grid-Scale Energy Storage Congress 2015 - Programme BrochureAurore Colella
After months of research with utilities across Europe involved in Energy Storage applications, a few things are clear-cut. Stakeholders want to:
- Cut through the technology hype
- Objectively assess the specific applications of grid-scale energy storage across the electricity supply chain
- And very importantly, hear commercial, business case-driven case studies to adopt and implement rather than reinvent the wheel.
For this reason, the Commercialising Grid-Scale Energy Storage Global Congress 2015, taking place in London on 25-26 November, has partnered up with leading European utilities, grid operators, the European Commission and other stakeholder groups to demonstrate and deliver actual results from pilot studies and the future road for commercialising energy storage applications across power generation, distribution and transmission.
The carefully selected case studies will benchmark progress, shape future plans and establish ROI from grid-scale energy storage applied to the entire electricity supply chain.
For just a moment, think of the immense amount of data generated by Earth-observing systems. The sheer volume often makes it impractical for humans alone to perform the analysis, and accordingly, many groups are turning to artificial intelligence (AI) and machine learning (ML) algorithms to support their analysis. We'll hear from Development Seed and EOS about how they are using AI and ML to unlock the power of this planetary-scale data that is becoming increasingly more accessible in the cloud. From open-source libraries and human-in-the loop initial processing passes, to fully automated pipelines, we'll examine the new capacity for analysis now possible with technology.
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.
S.1.b Building Energy Pre Certification ServiceSUNSHINEProject
In 2012, the Municipality of Ferrara, Italy signed up to the Covenant of Mayors to reduce greenhouse gas emissions by 25% by 2020 through increased energy efficiency and renewable energy. One action is the SUNSHINE project, which aims to implement an automatic building energy pre-certification service using open geodata to estimate building energy performance at large scale. The municipal departments were involved in modeling geodata on building energy properties. A mobile app was also created to check the accuracy of building properties like age, use, heights during on-site audits.
This document discusses smart metering systems for microgrids. It describes the smart metering system used in the Aalborg University Intelligent Microgrid Laboratory, which collects data from consumers and distributed energy resources through smart meters and transmits it through both local area networks and the internet. It also discusses a Sino-Danish project that will demonstrate a 200 kW hybrid renewable microgrid in Shanghai using Kamstrup's smart metering and data management platform. Future work will focus on implementing this system at the demonstration site and further developing its capabilities for functions like demand response and integration with microgrid energy management systems.
This document summarizes a study on improving energy efficiency in data centers through a cyber-physical approach combining hardware and software monitoring. The study developed an optimization framework that gathers data on environmental, server, and workload parameters in real-time to dynamically adapt and propose optimizations. It deployed a wireless sensor network in a supercomputer data center to monitor inlet/outlet temperatures and other environmental data at adjustable sampling rates, reducing the amount of collected data by up to 68% while still capturing useful information. The approach was tested in a real case study to holistically optimize energy use through integrated IT and cooling system management.
French industrial quantum use cases: EDF
Stéphane TANGUY - CIO & CTO at EDF Labs, EDF, France
Quantum computing main use cases at EDF: material ageing modelling, safety probabilistic study and combinatorial optimization for energy management. Explore the EDF quantum journey to address them.
Energy consumption study of a WSN using 6TiSCH architectureFederico Sismondi
Motivated by the active developments on the industrial automated world and the new technologies arising in the
area of Internet of Things, the IETF, based on IEEE’s existing standards, and some already accepted protocols,
propose a new architecture to satisfy the needs of both fields.
6tisch, the new IETF’s architecture to be studied during our project, aims to give a convergent solution for both
fields that have plenty of common points. It aims to satisfy the requirements of the wireless low powered lossy networks. Among them, we can point out: energy management policy, energy efficient design, link reliability,
robustness, scalability support, interoperability, self organization, end to end reliability, security and mobility
support, as the most noticeable ones.
The project proposed aims to obtain a well founded experience on how the newly developed architecture 6tisch performs in the OpenWSN project. The partner enterprise wants to quantify the energy consumed by the motes in a real use case, with special detail on how the different parameterizations of the protocol stack would affect it.
Due to the increasing need of networks relying on low energy consumption, our project will analyze from the
lowest layers of the protocol stack how 6tish architecture performs energywise and how the different mechanisms like routing table construction, message forwarding function, scheduling of the TSCH slots, and many others will perform.
The document discusses a study conducted to determine the least cost generation capacity mix for the CSIR campus in Pretoria from 2016-2022 under different energy usage scenarios. The study used PLEXOS modeling software to optimize the capacity of new solar PV, wind, biogas, and battery installations to minimize total electricity costs while meeting campus demand and considering Tshwane's time-of-use electricity tariff structure. The results show that optimizing renewable capacity additions can significantly reduce total electricity costs compared to maintaining only existing renewable systems.
The document summarizes CESGA's energy efficiency plan (CEEP) to reduce costs and energy consumption. Before the plan, an analysis found opportunities to improve systems like climatization, lighting, and computing. The plan outlined activities like monitoring upgrades, increasing temperature setpoints, closing cold aisles, and server consolidation. Metrics like PUE were used to measure impact. Initial results included savings from mechanisms like power management, free cooling optimization, and temperature decreases from closed cold aisles. Ongoing work focuses on memory, job scheduling, and renewable energy.
The UCSD NSF GreenLight Project aims to make departmental computer clusters more energy efficient. It focuses on instrumenting and publishing real-time energy usage of a campus computing cluster. The goals are to measure energy costs, allow researchers to study efficient computing techniques, and develop software to optimize energy usage. For example, matching algorithms to specialized processors improved mass spectrometry efficiency 300x. The project also explores using solar and fuel cell generated DC power directly for increased efficiency.
Mike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilotjames hamilton
The document discusses stand-alone power systems (SPS) that Western Power has installed in remote areas as an alternative to extending the electricity grid. Six initial SPS units were installed in 2016 to electrify areas at the edge of the grid. The SPS units generate power using solar panels, batteries, and backup diesel generators. The document describes two case studies where customer usage exceeded the capacity of the SPS units, resulting in outages, and lessons learned about conducting more robust energy audits and clear communications with customers. It concludes that Western Power sees potential to deploy over 3,000 additional SPS systems as the technology replaces aging rural infrastructure.
This document provides information about ESCO Israel and its energy efficiency projects. It discusses Israel's growing energy costs and crisis. ESCO Israel implements energy efficiency projects in industrial, commercial, educational, and other sectors to reduce clients' energy consumption and costs. Projects include installing smart metering systems, upgrading lighting, and improving HVAC and other systems. ESCO Israel also provides electricity distribution and maintenance services. The document outlines several specific projects carried out by ESCO Israel and the energy savings achieved.
How To Apply Energy Storage Technologies In Commercial And Industrial Applica...Davide Bonomi
This presentation was presented at the masterclass session during 11th Energy Storage World Forum in 2018, Berlin.
How To Apply Energy Storage Technologies In Commercial And Industrial Applications – by ENEA explains two reasons why facilities should be interested in storage projects:
1. Market & value for C&I energy storage is finally booming in numerous locations
2. Startups and large utilities now compete to provide C&I facilities with turnkey solutions
If you’d like to get a deep industry insights and learn in person from energy storage professionals, join our next masterclass at https://energystorageforum.com/register
This document discusses the OPTIMUS project, which aims to design an integrated ICT platform called a Decision Support System (DSS) to help cities make smart energy-saving decisions in public buildings. The DSS will collect and structure open data sets to recommend the best energy-saving opportunities. It will be piloted in three cities - Savona, Italy; Sant Cugat, Spain; and Zaanstad, Netherlands. The DSS will have modules for weather forecasting, decentralized data collection, social feedback, energy pricing, and renewable energy production. Site visits were conducted in Savona to identify potential energy efficiency actions like optimizing heating systems based on weather and needs. The DSS interface and process of pil
N-SIDE provides optimization solutions for energy flexibility and decision making using advanced analytics. They combine expertise in mathematics, business engineering, and computer science. Their approach includes descriptive mathematical models, predictive advanced forecasts, and prescriptive efficient algorithms to generate optimal decisions. They have developed optimization solutions for market coupling, energy flexibility, microgrids, and innovative projects on energy flexibility.
Professor Brian Vad Mathiesen, 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
June 15, 2011
Wayne Gardner's presentation from America’s Sustainable Future: How U.S. Cities Are Making Energy Work, an invitational conference of public-private partnership efforts from U.S. cities pursuing innovative energy management and smart grid initiatives. The assembled leaders in industry, research and policy-making will explore the diverse energy strategies emerging in Philadelphia and across the United States.
“We’re really looking forward to both learning from the great examples set by other cities represented in the conference, and showing off the groundbreaking work happening right here in Philadelphia,” says Laurie Actman, Viridity Energy’s director of strategic partnerships and public policy.
“With smart ideas and smart policy, we should be able to build support for smart grid projects and microgrids at the federal, state and local level.”"Energy technology is changing at such a rapid pace, it's crucial to examine who's doing it right in smart grid and microgrid projects all around the country," says Eugenie Birch, Penn IUR co-director.
"With the right policy moves—which we'll be exploring at the conference—Philadelphia can be a national leader in energy innovation," noted Susan Wachter, Penn IUR co-director.
The Catalan Water Agency implemented an energy efficiency program at the Martorell Waste Water Treatment Plant (WWTP) in Barcelona to reduce energy consumption and costs. Sensors were installed to monitor energy usage and detect issues. This led to an 8.6% reduction in energy usage, saving 69,745 kWh and €27,029 per year. Predictive maintenance detected potential issues early, improving operations and maintenance.
Similar to Software-Cluster project in Brazil: Energy management on the university campus (20)
Software-Cluster Internationalisation focusing on Silicon Valley: R+D project...ElisabethStemmler
This document summarizes a project meeting on August 8, 2018 about SCIKE and the Industrial Data Space task. It discusses partners involved including DFKI and Siemens, the use of semantic representations for Industry 4.0, and developing multimodal interaction based on semantic representations. It describes a use case of interacting with a virtual production line using gestures, speech, and a situation-adaptive dialogue platform. The goal is to create a proof of concept demonstration by the end of 2018 and a full demonstrator by August 2019.
This document summarizes the Silicon Valley internationalization efforts of the Software Cluster (SWC). It discusses the background and milestones reached, including the establishment of research links between German and US partners and the selection of initial US partners. It outlines two delegation trips to Silicon Valley that helped expand networks and identify opportunities for knowledge transfer and speaker events. It also discusses ongoing and planned third-party funding applications to further involve companies and partners.
Software-Cluster Internationalisation focsing on Silicon Valley: R+D project ...ElisabethStemmler
Project presentation by Stephan Borgert: smartTA (smart Traffic Analytics for East Palo Alto)
during the SCIKE Project meetiing, 8.8.2018, Saarbruecken
Software-Cluster: Introduction by Prof. Rombach, Speaker of the Software-ClusterElisabethStemmler
The document summarizes the Software Cluster, a leading-edge cluster competition in Germany that brings together software companies, universities, and research organizations across southwest Germany. The Software Cluster's objectives are cooperative research and development to support digital transformation, growth of the software industry and jobs, and increasing international visibility. It focuses on developing emergent software that can dynamically adapt to market needs through interaction of components and services on the Internet of Things and Services. Example projects under the Software Cluster include developing platforms for innovative internet services, enterprise software solutions, and local electricity trading technologies.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
Software-Cluster project in Brazil: Energy management on the university campus
1. Federal University of Campina Grande
Project Details
Smart Management of Energy Consumption for
the Federal University of Campina Grande - UFCG
Edmar Candeia Gurjão
ecandeia@dee.ufcg.edu.br
2. Federal University of Campina Grande
Founded in 2002
7 campi
Central administration in Campina Grande (Central Campus)
3. Federal University of Campina Grande
Campus structures are almost the same in all locations
Power
Distribution
Company
Substation
4. Federal University of Campina Grande
Energy consumption at UFCG: contract with prices for
Demand
Peak
Out of peak
Planning and maintenance of the system: central adminstration
Problem: data only from total energy consumption
-
10,000.00
20,000.00
30,000.00
40,000.00
50,000.00
60,000.00
CG Patos Pombal Sousa Cajazeiras Cuité Sumé
CPeakConcumption(kWh)
Peak consumption in 2005 (second semester) -
Campina Grande Campus
5. Federal University of Campina Grande
Necessities:
Control of the consumption to avoid passing the contracted demand
Utilization of local generation: e.g. solar energy + storage
Detection of anomalous consumption
Reduce de total energy consumption !
6. Federal University of Campina Grande
Goals:
Sytem to manage energy consumption
Register energy consumption in each building
Detection of anomalous consumption
Local energy generation and storage
Remote management of using local energy generation
7. Federal University of Campina Grande
-
50,000.00
100,000.00
150,000.00
200,000.00
250,000.00
300,000.00
350,000.00
400,000.00
450,000.00
500,000.00
CG Patos Pombal Sousa Cajazeiras Cuité Sumé
Consumption(kWh)
Peak consumption: June, 24, 2018
Reporting energy consumption
Below Demand
Near peak demand
Higher peak demand
8. Federal University of Campina Grande
Anomalous Consumption:
1. Classhall 01 – Campina Grande Campus
2. Building 12A – Patos Campus
3. .
4. .
Reporting anomalous situations
10. Federal University of Campina Grande
-
100,000.00
200,000.00
300,000.00
400,000.00
500,000.00
Consumption(kWh)
Peak consumption: June, 24, 2018
Anomalous Consumption:
1. Classhall 01 – Campina Grande Campus
2. Builing 12A – Patos Campus
3. .
4. .
11. Federal University of Campina Grande
Last Developments: New sensors installed
UFPB
12. Federal University of Campina Grande
Last Developments:
1. Data being collected and transmitted to Scike Server.
2. All buildings were mapped (regarding the energy connection).
13. Federal University of Campina Grande
Last Developments:
3. Material to build 30 new sensors (now 3 are ready to install);
4. Projecting the new version (v4.0) of the sensor: measurement of new
parameter and MQTT messaging;
5. System to battery monitoring and energy management in production;
6. Site for the project: https://scikepb.dcx.ufpb.br
14. Federal University of Campina Grande
Some (academic) achiviements:
1. 1 MsC thesis concluded, 1 in development;
2. 10 final course work produced;
3. 2 papers presented in Brazilian Conference on Power Systems;
4. 1 paper accepted in Brazilian Conference on Telecommunications.
15. Federal University of Campina Grande
Edmar Candeia Gurjão
ecandeia@dee.ufcg.edu.br
Skype: ecgurjao
ecandeia.dee.ufcg.edu.br
+55 83 2101 1135
+55 83 98894 1403
Electrical Engineering Department
Federal University of Campina Grande
Campina Grande, PB. Brazil