Expert workshop on the creation and uses of combined environmental and economic performance datasets at the micro-level - 10-11 July 2018 - OECD, Paris
Assessing economic impacts of the energy transition – energy-economy modellingRCREEE
Scenario modelling can help optimize energy and economic policy by comprehensively comparing costs and opportunities of different policy options. Advanced modelling tools like Remind integrate technical, macroeconomic, and social aspects to compare scenarios and identify robust trends and trade-offs. For example, modelling of the EU's 2030 climate strategy showed that increased energy efficiency can boost jobs while appropriate carbon pricing designs can achieve emission reductions with limited impacts on GDP. Comprehensive analyses of scenarios like Germany's coal phase out also allow assessing economic and employment effects together. Integrating scenario modelling into the policy process and developing local modelling capacities can strengthen energy transition planning.
Energy Research Program of the German GovernmentIEA-ETSAP
Germany's energy transition, called the Energiewende, aims to balance security of supply, cost-effectiveness, and environmental protection. It involves increasing energy efficiency, renewable energy sources like solar and wind, and integrating sectors like electricity and transportation. Technological challenges include improving grid connections between regions for better renewable energy distribution and ensuring flexibility to integrate high levels of variable renewable generation. Germany's national research and development agenda focuses on expediting the energy transition through innovation in areas like renewable energy, grid integration, sector coupling, and digital technologies.
The document discusses the Concerted Action EPBD IV, which aims to support implementation of the Energy Performance of Buildings Directive (EPBD) and maximize its outcomes. It notes the EPBD requires large amounts of data related to energy efficiency in buildings but could also deliver large datasets at low cost. In particular, energy performance certificates for buildings have great potential for data collection since over a million buildings are assessed annually across Europe. However, gaps remain around combining building data with energy use data and better connecting measured and calculated energy performance.
The document discusses two case studies, NRG4Cast and SUNSEED, that use big data approaches for energy efficiency. NRG4Cast monitors, analyzes, predicts, and optimizes energy usage in districts, buildings, and households. It integrates different data sources to model energy consumption and production. SUNSEED develops advanced sensor networks and analytics to provide monitoring, forecasting, and control of smart energy distribution grids. Both projects address technical challenges around data integration from various sources and aim to reduce energy costs and environmental impact through optimized energy management.
This document outlines the agenda for the Big Data Europe 2nd Thematic Workshop on big data in the energy sector. The workshop will include presentations on smart grids, energy efficiency, and the Big Data Europe platform. Attendees will discuss use cases for applying the Big Data Europe platform to challenges around system monitoring, energy efficiency, and data management in the energy domain. The goals are to present data challenges in smart grids and energy efficiency, showcase the Big Data Europe platform and pilot case, and identify potential new applications of the platform.
Ecofective selected as top energy efficiency startup companyMats Pettersson
Ecofective, a Swedish startup focused on energy optimization for buildings, was selected as the top energy efficiency company at the Nordic Cleantech Open competition. Ecofective's system uses real-time measurements of a building's thermodynamic behavior to optimize energy usage. At the competition, Ecofective was awarded third place overall out of 10 Nordic cleantech startup finalists. The winner was Disruptive Materials and runner up was Cyclicor, both of which develop material technology solutions.
The support provided to the St Francis Group for the Atlas Project by the BioenNW project included a guide to the business case requirements in developing a bioenergy project in Tyseley, Birmingham.
The Atlas Project in Tyseley is one of 25 potential sites identified under BioenNW for the development of new innovative bioenergy schemes in North West Europe. These sites are in the UK, Belgium, France, Germany and the Netherlands.
Of these 25, 5 are being developed to the point of build by the end of 2015.
The document discusses a project called ICOST that aimed to integrate internal costing practices within industry, specifically combining commercial cost estimation and technical cost engineering. The project identified issues within internal costing practices, helped integrate commercial and engineering disciplines, and had successful industry participation over three years. This contributed to improved collaboration and further research opportunities.
Assessing economic impacts of the energy transition – energy-economy modellingRCREEE
Scenario modelling can help optimize energy and economic policy by comprehensively comparing costs and opportunities of different policy options. Advanced modelling tools like Remind integrate technical, macroeconomic, and social aspects to compare scenarios and identify robust trends and trade-offs. For example, modelling of the EU's 2030 climate strategy showed that increased energy efficiency can boost jobs while appropriate carbon pricing designs can achieve emission reductions with limited impacts on GDP. Comprehensive analyses of scenarios like Germany's coal phase out also allow assessing economic and employment effects together. Integrating scenario modelling into the policy process and developing local modelling capacities can strengthen energy transition planning.
Energy Research Program of the German GovernmentIEA-ETSAP
Germany's energy transition, called the Energiewende, aims to balance security of supply, cost-effectiveness, and environmental protection. It involves increasing energy efficiency, renewable energy sources like solar and wind, and integrating sectors like electricity and transportation. Technological challenges include improving grid connections between regions for better renewable energy distribution and ensuring flexibility to integrate high levels of variable renewable generation. Germany's national research and development agenda focuses on expediting the energy transition through innovation in areas like renewable energy, grid integration, sector coupling, and digital technologies.
The document discusses the Concerted Action EPBD IV, which aims to support implementation of the Energy Performance of Buildings Directive (EPBD) and maximize its outcomes. It notes the EPBD requires large amounts of data related to energy efficiency in buildings but could also deliver large datasets at low cost. In particular, energy performance certificates for buildings have great potential for data collection since over a million buildings are assessed annually across Europe. However, gaps remain around combining building data with energy use data and better connecting measured and calculated energy performance.
The document discusses two case studies, NRG4Cast and SUNSEED, that use big data approaches for energy efficiency. NRG4Cast monitors, analyzes, predicts, and optimizes energy usage in districts, buildings, and households. It integrates different data sources to model energy consumption and production. SUNSEED develops advanced sensor networks and analytics to provide monitoring, forecasting, and control of smart energy distribution grids. Both projects address technical challenges around data integration from various sources and aim to reduce energy costs and environmental impact through optimized energy management.
This document outlines the agenda for the Big Data Europe 2nd Thematic Workshop on big data in the energy sector. The workshop will include presentations on smart grids, energy efficiency, and the Big Data Europe platform. Attendees will discuss use cases for applying the Big Data Europe platform to challenges around system monitoring, energy efficiency, and data management in the energy domain. The goals are to present data challenges in smart grids and energy efficiency, showcase the Big Data Europe platform and pilot case, and identify potential new applications of the platform.
Ecofective selected as top energy efficiency startup companyMats Pettersson
Ecofective, a Swedish startup focused on energy optimization for buildings, was selected as the top energy efficiency company at the Nordic Cleantech Open competition. Ecofective's system uses real-time measurements of a building's thermodynamic behavior to optimize energy usage. At the competition, Ecofective was awarded third place overall out of 10 Nordic cleantech startup finalists. The winner was Disruptive Materials and runner up was Cyclicor, both of which develop material technology solutions.
The support provided to the St Francis Group for the Atlas Project by the BioenNW project included a guide to the business case requirements in developing a bioenergy project in Tyseley, Birmingham.
The Atlas Project in Tyseley is one of 25 potential sites identified under BioenNW for the development of new innovative bioenergy schemes in North West Europe. These sites are in the UK, Belgium, France, Germany and the Netherlands.
Of these 25, 5 are being developed to the point of build by the end of 2015.
The document discusses a project called ICOST that aimed to integrate internal costing practices within industry, specifically combining commercial cost estimation and technical cost engineering. The project identified issues within internal costing practices, helped integrate commercial and engineering disciplines, and had successful industry participation over three years. This contributed to improved collaboration and further research opportunities.
The document discusses CSI Piemonte's smart data platform for analyzing big data from energy efficiency projects. It describes CSI Piemonte as a consortium that manages IT services for public administrations. The platform collects data from sensors in buildings and integrates static and real-time data to analyze energy consumption. It is being used in pilots that monitor energy usage in buildings and districts to identify opportunities for increased efficiency.
The EU is highly dependent on raw materials crucial for industry and competitiveness. Securing sustainable access to raw materials, especially critical raw materials, is important for the EU economy. This topic aims to scale up raw materials production technologies and demonstrate innovative and sustainable production to strengthen European industry and meet energy and climate targets. The top institutes receiving raw materials funding are Fraunhofer in Germany, VTT in Finland, KU Leuven in Belgium, and TU Delft in Netherlands. Relevant networks include the EIT Raw Materials, the European Innovation Partnership on Raw Materials, and ERA-MIN. This study identifies the key organizations involved in raw materials research.
"Taking on TIAM" a new user´s experience and lessons learnedIEA-ETSAP
(1) Dr. Tamaryn Napp has been involved in energy systems modeling at the Grantham Institute since 2010, developing their own model called Grantham-TIAM based on the ETSAP-TIAM model since 2014.
(2) In work for the AVOID 2 program, they have run initial scenarios investigating CO2 budgets for temperature targets of 2.0, 2.5, 3.0 and 4.0°C, finding higher CO2 prices for more constrained delayed action scenarios.
(3) Preliminary results comparing Grantham-TIAM with other models MESSAGE and WITCH show similar emissions pathways and costs of mitigation, though further analysis is still needed.
Advanced materials and nanotechnologies in Horizon 2020JIC
The document discusses key enabling technologies (KETs) and their role in the Horizon 2020 framework program. It outlines several work programs within Horizon 2020 related to nanotechnologies, advanced materials, biotechnologies, and advanced manufacturing and processing. These areas are consolidated under the NMBP pillar. The document provides an overview of topics, budgets, and timelines for the NMBP-related calls in 2016-2017. It also discusses public-private partnerships involved in NMBP research and innovation.
This document summarizes a study that maps European research excellence related to developing climate services from concepts to piloting. It identifies the top 10 European institutes participating in relevant projects and analyzes 72 projects across 7 sub-themes: weather, agriculture, water, energy, society, atmosphere, and coastal/marine. For each sub-theme it lists the number of projects and top 5 participating organizations. The document outlines the goals of developing climate service concepts for decision-making and impact areas like market uptake. It provides guidance on forming project consortia and proposals for the 2017 funding call.
Building Energy Management Systems (BEMS) are integrated software, hardware, and service systems that monitor, automate, and control building systems like HVAC, lighting, and thermostats to increase energy efficiency and comfort. BEMS gather data from sensors and use it to control operations in real time to meet objectives like maintaining indoor climate, safety, and cost efficiency. The BEMS market is growing as the need increases to collect and interpret large amounts of building data. BEMS can reduce energy costs by 15-20% and improve indoor environments through automated control and monitoring of building operations.
Energy Models and Scenarios - predicting Germany's electricity production sys...Justice Okoroma
The document models and analyzes Germany's electricity generation system up to 2040 under different scenarios using the EnergyPLAN macro-modeling tool. The model was validated by comparing historical data from 2003-2012 to model results, which showed minimal differences. Three scenarios were simulated: Business as Usual, 50% renewable electricity share by 2040, and 60% CO2 reduction by 2040. The 60% CO2 reduction scenario was selected as best using multi-criteria analysis. Optimization of installed power capacity for 2020 and 2040 under the best scenario found renewable sources would account for over 50% of capacity by 2020 with 46% cost savings, and over 75% of capacity by 2040 with 71% cost savings.
This document summarizes a study commissioned by the EPA on opportunities for Irish researchers to participate in the Horizon 2020 topic "SC5-18-2017: Novel in-situ observation systems". The study mapped relevant research excellence and consortiums in Ireland and Europe. It identified 83 relevant projects across databases, including 20 Horizon 2020 projects and 63 FP7 projects. The study found that Irish researchers have been involved in 3 Earth observation projects under Horizon 2020 and 5 under FP7. The document outlines key disciplines and skills needed to develop novel in-situ observation systems and respond to challenges in this area.
This document describes a pilot project that uses big data techniques for system monitoring in energy production units. The pilot collects sensor data from 3 wind turbines at high sampling rates, generating around 14GB of data per hour. This data is analyzed to monitor operational status, support predictive maintenance, and enable power production prognostics. The goal is to help renewable energy companies better manage their fleets of distributed energy systems through big data analytics.
This document outlines the objectives and methodology of the EU Research Excellence and Capacity for Horizon 2020 Topic SC5-02-2017. The main objective is to develop an innovative European regional climate prediction system using high-resolution climate models from seasons to decades. The methodology involves mapping relevant research projects and key institutes, and analyzing networking groups in the climate prediction area. Top performing institutes involved in multiple projects are identified.
How to make energy efficiency policies in buildings deliver? The role of refu...Oeko-Institut
This document discusses Germany's need for additional skilled workers to meet its climate and energy targets for building retrofits. It estimates that retrofit rates must double to 2-4% annually, requiring around 100,000 additional workers across trades like installation, plastering, and glazing. However, Germany currently faces a shortage of skilled craft workers that limits the retrofit market. The document examines barriers homeowners face in obtaining offers for retrofit work and concludes that Germany's policies cannot deliver the needed energy efficiency improvements without first addressing the shortage of skilled labor to implement the retrofits.
BayWa r.e. renewable energy GmbH is a wholly owned subsidiary of BayWa AG responsible for its renewable energy business. It was founded in 2009 and is headquartered in Munich, Germany with 950 employees. BayWa r.e. operates across Europe, the US, Australia and Asia offering a range of renewable energy products and services including project development, construction, financing, operations management, maintenance, trading of components and energy, and consulting. Its core markets are in Europe and the US and it generated over €1 billion in revenue and €61.8 million in profits in 2015.
Batteries, Bits and Business - Direct supply with renewable energies in GermanyStephan Franz
Battery storage and digitalization enable new business models for the direct supply of renewable energies. Get insights on the status of these technologies and the newest developments in Germany, one of the international indicator markets for the energy transition.
The document discusses challenges around data management and analytics for smart grids with distributed generation. It notes that smart grids are aimed at improving grid resilience, facilitating new energy markets, and better integrating renewable energy. However, a lack of unified data models presents a challenge for analyzing the large volumes of diverse data from smart meters, weather sensors, and other sources. The author proposes collaborating with Big Data Europe to define use cases around technical grid management and market forecasting that leverage big data analytics to help decarbonize energy systems with high renewable penetration.
The document discusses empowering communities with big data technologies through lowering barriers to using big data. It describes the Big Data Europe consortium and platform, which consists of three layers - hardware, a resource manager, and big data applications. The platform packages big data components like HDFS, Spark, and Kafka in Docker containers to solve specific problems, and provides installation instructions and technical support contacts.
The document discusses how big data and digital transformation can help address climate change challenges through the energy sector. It provides examples of digital use cases for power generation, transmission and distribution networks, retailers and aggregators, consumers and prosumers, and new market platforms. These use cases leverage technologies like predictive analytics, asset intelligence networks, demand response programs, and real-time energy visibility to improve grid reliability and efficiency, increase renewable energy integration, empower customers, and reduce costs.
Case 2: How to Respond to increasing Cost Pressure in Recycling - Reffibre Pr...EuropeanPaper
By Dr Ulla Forsström, VTT Technical Research Centre of Finland. This was presented during the Circular Economy info session, organised as part of European Paper Week 2015. More at http://www.cepi.org/epw
Local government web sites in Finland: A geographic and webometric analysisKim Holmberg
A webometric study about the interlinking between local government web sites in Finland. Paper presented at the 11th conference of International Society of Scientometrics and Informetrics in 2007 Madrid, Spain.
This project summary provides information on the SMART GROUND project:
1) The SMART GROUND project received €2.496.800,10 in funding from the Horizon 2020 research and innovation programme under Grant Agreement No 641988 to last from October 1, 2015 to March 31, 2018.
2) The project aims to foster resource recovery from landfills by improving data availability and accessibility on secondary raw materials in the European Union. It will integrate existing and new data into a single EU database.
3) Additionally, the project seeks to enhance the economic and employment potential of secondary raw materials by providing training and forming a network of stakeholders committed to research and technology transfer.
Pathway to Zero Waste (PTZW) is a partnership between government and private organizations in the UK aiming to reduce waste sent to landfill in Southeast England. PTZW focuses on construction, demolition, and excavation (CD&E) waste, which makes up 40% of landfill waste. In its first year of operation, PTZW diverted over 160,000 tons of waste from landfill. Its goals are to divert 470,000 tons in the second year, adding over £5 million to the economy and saving over £5 million in costs. PTZW also aims to establish reuse markets, improve recycling infrastructure, update policies, and share best practices to further reduce landfill waste.
The Influence of Continued RES Cost Reductions - an Analysis with the Mid-Eur...IEA-ETSAP
This document summarizes a presentation about analyzing the effects of continued reductions in the costs of renewable energy sources (RES) using a model of the mid-European electricity system. It describes the motivation, methodology, scenarios modeled, and some preliminary results. The reference scenario shows Europe's electricity mix remaining diverse with nuclear and renewables as major sources by 2050. Lower RES investment costs in extended and IRENA scenarios lead to more solar PV and wind power capacity and generation compared to the reference scenario. Electricity trade between countries is also projected to increase over time.
The document discusses CSI Piemonte's smart data platform for analyzing big data from energy efficiency projects. It describes CSI Piemonte as a consortium that manages IT services for public administrations. The platform collects data from sensors in buildings and integrates static and real-time data to analyze energy consumption. It is being used in pilots that monitor energy usage in buildings and districts to identify opportunities for increased efficiency.
The EU is highly dependent on raw materials crucial for industry and competitiveness. Securing sustainable access to raw materials, especially critical raw materials, is important for the EU economy. This topic aims to scale up raw materials production technologies and demonstrate innovative and sustainable production to strengthen European industry and meet energy and climate targets. The top institutes receiving raw materials funding are Fraunhofer in Germany, VTT in Finland, KU Leuven in Belgium, and TU Delft in Netherlands. Relevant networks include the EIT Raw Materials, the European Innovation Partnership on Raw Materials, and ERA-MIN. This study identifies the key organizations involved in raw materials research.
"Taking on TIAM" a new user´s experience and lessons learnedIEA-ETSAP
(1) Dr. Tamaryn Napp has been involved in energy systems modeling at the Grantham Institute since 2010, developing their own model called Grantham-TIAM based on the ETSAP-TIAM model since 2014.
(2) In work for the AVOID 2 program, they have run initial scenarios investigating CO2 budgets for temperature targets of 2.0, 2.5, 3.0 and 4.0°C, finding higher CO2 prices for more constrained delayed action scenarios.
(3) Preliminary results comparing Grantham-TIAM with other models MESSAGE and WITCH show similar emissions pathways and costs of mitigation, though further analysis is still needed.
Advanced materials and nanotechnologies in Horizon 2020JIC
The document discusses key enabling technologies (KETs) and their role in the Horizon 2020 framework program. It outlines several work programs within Horizon 2020 related to nanotechnologies, advanced materials, biotechnologies, and advanced manufacturing and processing. These areas are consolidated under the NMBP pillar. The document provides an overview of topics, budgets, and timelines for the NMBP-related calls in 2016-2017. It also discusses public-private partnerships involved in NMBP research and innovation.
This document summarizes a study that maps European research excellence related to developing climate services from concepts to piloting. It identifies the top 10 European institutes participating in relevant projects and analyzes 72 projects across 7 sub-themes: weather, agriculture, water, energy, society, atmosphere, and coastal/marine. For each sub-theme it lists the number of projects and top 5 participating organizations. The document outlines the goals of developing climate service concepts for decision-making and impact areas like market uptake. It provides guidance on forming project consortia and proposals for the 2017 funding call.
Building Energy Management Systems (BEMS) are integrated software, hardware, and service systems that monitor, automate, and control building systems like HVAC, lighting, and thermostats to increase energy efficiency and comfort. BEMS gather data from sensors and use it to control operations in real time to meet objectives like maintaining indoor climate, safety, and cost efficiency. The BEMS market is growing as the need increases to collect and interpret large amounts of building data. BEMS can reduce energy costs by 15-20% and improve indoor environments through automated control and monitoring of building operations.
Energy Models and Scenarios - predicting Germany's electricity production sys...Justice Okoroma
The document models and analyzes Germany's electricity generation system up to 2040 under different scenarios using the EnergyPLAN macro-modeling tool. The model was validated by comparing historical data from 2003-2012 to model results, which showed minimal differences. Three scenarios were simulated: Business as Usual, 50% renewable electricity share by 2040, and 60% CO2 reduction by 2040. The 60% CO2 reduction scenario was selected as best using multi-criteria analysis. Optimization of installed power capacity for 2020 and 2040 under the best scenario found renewable sources would account for over 50% of capacity by 2020 with 46% cost savings, and over 75% of capacity by 2040 with 71% cost savings.
This document summarizes a study commissioned by the EPA on opportunities for Irish researchers to participate in the Horizon 2020 topic "SC5-18-2017: Novel in-situ observation systems". The study mapped relevant research excellence and consortiums in Ireland and Europe. It identified 83 relevant projects across databases, including 20 Horizon 2020 projects and 63 FP7 projects. The study found that Irish researchers have been involved in 3 Earth observation projects under Horizon 2020 and 5 under FP7. The document outlines key disciplines and skills needed to develop novel in-situ observation systems and respond to challenges in this area.
This document describes a pilot project that uses big data techniques for system monitoring in energy production units. The pilot collects sensor data from 3 wind turbines at high sampling rates, generating around 14GB of data per hour. This data is analyzed to monitor operational status, support predictive maintenance, and enable power production prognostics. The goal is to help renewable energy companies better manage their fleets of distributed energy systems through big data analytics.
This document outlines the objectives and methodology of the EU Research Excellence and Capacity for Horizon 2020 Topic SC5-02-2017. The main objective is to develop an innovative European regional climate prediction system using high-resolution climate models from seasons to decades. The methodology involves mapping relevant research projects and key institutes, and analyzing networking groups in the climate prediction area. Top performing institutes involved in multiple projects are identified.
How to make energy efficiency policies in buildings deliver? The role of refu...Oeko-Institut
This document discusses Germany's need for additional skilled workers to meet its climate and energy targets for building retrofits. It estimates that retrofit rates must double to 2-4% annually, requiring around 100,000 additional workers across trades like installation, plastering, and glazing. However, Germany currently faces a shortage of skilled craft workers that limits the retrofit market. The document examines barriers homeowners face in obtaining offers for retrofit work and concludes that Germany's policies cannot deliver the needed energy efficiency improvements without first addressing the shortage of skilled labor to implement the retrofits.
BayWa r.e. renewable energy GmbH is a wholly owned subsidiary of BayWa AG responsible for its renewable energy business. It was founded in 2009 and is headquartered in Munich, Germany with 950 employees. BayWa r.e. operates across Europe, the US, Australia and Asia offering a range of renewable energy products and services including project development, construction, financing, operations management, maintenance, trading of components and energy, and consulting. Its core markets are in Europe and the US and it generated over €1 billion in revenue and €61.8 million in profits in 2015.
Batteries, Bits and Business - Direct supply with renewable energies in GermanyStephan Franz
Battery storage and digitalization enable new business models for the direct supply of renewable energies. Get insights on the status of these technologies and the newest developments in Germany, one of the international indicator markets for the energy transition.
The document discusses challenges around data management and analytics for smart grids with distributed generation. It notes that smart grids are aimed at improving grid resilience, facilitating new energy markets, and better integrating renewable energy. However, a lack of unified data models presents a challenge for analyzing the large volumes of diverse data from smart meters, weather sensors, and other sources. The author proposes collaborating with Big Data Europe to define use cases around technical grid management and market forecasting that leverage big data analytics to help decarbonize energy systems with high renewable penetration.
The document discusses empowering communities with big data technologies through lowering barriers to using big data. It describes the Big Data Europe consortium and platform, which consists of three layers - hardware, a resource manager, and big data applications. The platform packages big data components like HDFS, Spark, and Kafka in Docker containers to solve specific problems, and provides installation instructions and technical support contacts.
The document discusses how big data and digital transformation can help address climate change challenges through the energy sector. It provides examples of digital use cases for power generation, transmission and distribution networks, retailers and aggregators, consumers and prosumers, and new market platforms. These use cases leverage technologies like predictive analytics, asset intelligence networks, demand response programs, and real-time energy visibility to improve grid reliability and efficiency, increase renewable energy integration, empower customers, and reduce costs.
Case 2: How to Respond to increasing Cost Pressure in Recycling - Reffibre Pr...EuropeanPaper
By Dr Ulla Forsström, VTT Technical Research Centre of Finland. This was presented during the Circular Economy info session, organised as part of European Paper Week 2015. More at http://www.cepi.org/epw
Local government web sites in Finland: A geographic and webometric analysisKim Holmberg
A webometric study about the interlinking between local government web sites in Finland. Paper presented at the 11th conference of International Society of Scientometrics and Informetrics in 2007 Madrid, Spain.
This project summary provides information on the SMART GROUND project:
1) The SMART GROUND project received €2.496.800,10 in funding from the Horizon 2020 research and innovation programme under Grant Agreement No 641988 to last from October 1, 2015 to March 31, 2018.
2) The project aims to foster resource recovery from landfills by improving data availability and accessibility on secondary raw materials in the European Union. It will integrate existing and new data into a single EU database.
3) Additionally, the project seeks to enhance the economic and employment potential of secondary raw materials by providing training and forming a network of stakeholders committed to research and technology transfer.
Pathway to Zero Waste (PTZW) is a partnership between government and private organizations in the UK aiming to reduce waste sent to landfill in Southeast England. PTZW focuses on construction, demolition, and excavation (CD&E) waste, which makes up 40% of landfill waste. In its first year of operation, PTZW diverted over 160,000 tons of waste from landfill. Its goals are to divert 470,000 tons in the second year, adding over £5 million to the economy and saving over £5 million in costs. PTZW also aims to establish reuse markets, improve recycling infrastructure, update policies, and share best practices to further reduce landfill waste.
The Influence of Continued RES Cost Reductions - an Analysis with the Mid-Eur...IEA-ETSAP
This document summarizes a presentation about analyzing the effects of continued reductions in the costs of renewable energy sources (RES) using a model of the mid-European electricity system. It describes the motivation, methodology, scenarios modeled, and some preliminary results. The reference scenario shows Europe's electricity mix remaining diverse with nuclear and renewables as major sources by 2050. Lower RES investment costs in extended and IRENA scenarios lead to more solar PV and wind power capacity and generation compared to the reference scenario. Electricity trade between countries is also projected to increase over time.
The document discusses Germany's transition to renewable energy, known as the Energiewende. It provides a brief history of the Energiewende beginning in the 1970s in response to the oil crisis. Key policies that have accelerated the transition include the Renewable Energy Sources Act, laws phasing out nuclear power by 2022, and amendments expanding the energy grid. The document outlines Germany's goals of meeting 30% of energy needs from renewables by 2020, 50% by 2030, 65% by 2040, and 80% by 2050. It also notes the substantial increase in renewable energy capacity and falling costs of renewable technologies.
04 kathrin goldammer eu towards a green economyDI_Energi
The document summarizes key aspects of Germany's Energiewende, or energy transition. It discusses the long history of the concept beginning in 1980, as well as Germany's goals to transition away from nuclear power and toward renewable energies. Major milestones are highlighted, such as the feed-in tariff system introduced in 1991 and the decision in 2011 to phase out nuclear power by 2022 following Fukushima. Germany's targets for reducing emissions and increasing renewable energy production by 2050 are also summarized. The document then provides facts and figures about Germany's current energy system, including electricity production sources, renewable energy shares, regional differences, and decreasing wholesale electricity prices. It concludes by discussing some of the major policy issues surrounding the Energ
This document discusses the economic benefits of open government data. It finds that open government data has the potential to generate significant economic value by enabling new applications and private sector innovations. Specifically:
- The EU study estimated the potential annual value of open government data for the EU is €30-40 billion, and derived estimates for individual EU countries ranging from millions to billions annually.
- Case studies found actual economic benefits already realized, such as a 5% increase in sales for an Austrian company and over €500 million annually generated by the Spanish information sector through public data reuse.
- Open data was found to save public and private costs, for example over €5,000 saved per app developed using open data in Austria
Solutions for Energy Management & Life Cycle Assessment (LCA) in ICT field ICT FOOTPRINT .eu
The document outlines a webinar on solutions for energy management and life cycle assessment in the ICT sector, including presentations on monitoring energy performance in data centers, the ecoinvent database for life cycle inventory data, and the ICTFOOTPRINT.eu initiative to promote sustainability in the ICT sector through metrics, methodologies and best practices.
The document discusses the technical and political challenges of energy generation using forestry-based biomass. Politically, frameworks around norms, legislation, subsidies and regional implementing agencies need to be established. Technically, challenges include selecting an appropriate technology and size, developing heat distribution systems, ensuring a stable availability of biomass and efficient transport, and conducting economic feasibility studies. Both long-term political approaches and continuity as well as short-term available generation technologies are important to address.
Using Information Technology to Meet the Carbon Challenge Videoguy
Using Information Technology to Meet the Carbon Challenge discusses how utilities can use IT to address issues related to climate change and reducing carbon emissions. Key topics covered include rising energy demands and costs, workforce challenges, regulatory pressures around climate change, and how technologies like smart metering, GIS systems, and carbon management solutions can help utilities improve efficiency and compliance. Several utility companies provide examples of how partnering with Microsoft has helped them automate processes, increase visibility into compliance issues, and reduce their carbon footprints through tools that enable remote collaboration.
Expert workshop on the creation and uses of combined environmental and economic performance datasets at the micro-level - 10-11 July 2018 - OECD, Paris
The document discusses frameworks for assessing corporate carbon performance using indicators such as carbon intensity, dependency, exposure, and risk. It outlines key considerations for standardizing carbon accounting, including which emissions scopes to cover and what business metrics to use as denominators for different industry sectors. The document also provides examples of business metrics, cost approaches, and a carbon management framework that incorporates setting goals and monitoring performance over time.
Expert workshop on the creation and uses of combined environmental and economic performance datasets at the micro-level - 10-11 July 2018 - OECD, Paris
The sEEnergies project aims to operationalize the energy efficiency first principle (EEFP) both qualitatively and quantitatively. It will develop a decision support tool combining sector-specific energy demand models to analyze EE potentials from an energy systems perspective. Bottom-up models of buildings, transport, industry and grids will provide cost curves and potentials for EE measures. Scenarios from the EU's "A Clean Planet for All" will be used as common references. Energy system modelling will assess EEFP impacts and enable scenarios assessing synergies. A spatial model will map supply and demand and efficiency potentials. Heat Roadmap Europe provides recommendations including prioritizing savings over supply, utilizing excess heat and renewable energy in district heating, and establishing
Jornada informativa organizada el 28 de noviembre de 2017 sobre convocatorias NMBP de Horizonte 2020. El evento, celebrado en lel Instituto de Ciencias de los Materiales de Sevilla (ICMS), fue organizado por la Agencia Andaluza del Conocimiento en colaboración con CDTI, Red OTRI Andalucía, Airbus, FADA-CATEC e ICMS.
TCI 2014 Cluster Academy Workshop: Learning from a “cluster region”TCI Network
This document provides information about cluster initiatives in Upper Austria, Austria. It discusses:
- Upper Austria's strong industry sectors like steel, automotive, machinery, plastics, food, and software.
- How Clusterland Upper Austria was established in 1992 to support cluster development and currently supports 8 industry clusters and networks involving over 1,800 companies.
- The organization's activities include providing information and connections between companies, supporting qualification efforts, initiating cooperation projects, helping with marketing and internationalization.
- Clusterland aims to be a self-sustaining organization and its clusters are on average 80% self-funded through membership fees and event participation.
ICTFOOTPRINT.eu at Data Centre World - a web platform to help organisations i...ICT FOOTPRINT .eu
The document discusses the ICTFOOTPRINT.eu project, which aims to raise awareness of metrics and best practices for measuring the energy and environmental efficiency of the ICT sector. It notes that ICT accounts for 8-10% of European electricity consumption and up to 4% of greenhouse gas emissions. The ICTFOOTPRINT.eu website provides factsheets on ICT methodologies, webinars, a marketplace for sustainable solutions, and a helpdesk. It also discusses using various methodologies to measure the carbon footprint of cloud services and data centers.
The transition to auction system of REN support failed: Less investment and ...energydialog
The transition to an auction system of renewable energy support in Germany failed, resulting in less investment and higher costs. Data shows that installed wind capacity and new builds declined after Germany switched from feed-in tariffs to auctions in 2017. Tariffs have risen while investment has fallen. Overall, the evidence indicates that auctions lead to less renewable investment, exclude small and medium actors, and fail to stimulate as rapid a decline in costs compared to feed-in tariffs.
Instruments for renewable energy developmentenergydialog
The document discusses how renewable energy can solve political challenges associated with fossil fuels and nuclear energy such as global warming, energy security issues, and environmental disasters. It highlights Germany's success in expanding renewable energy through policy support like feed-in tariffs. Renewables now provide over 30% of Germany's electricity and energy costs for industry have declined as renewables have increased. Studies show solar and wind will be the cheapest energy sources in most G20 countries by 2030. The document advocates for policies that promote grid access, long-term fixed feed-in tariffs, and investment in technologies like storage to balance intermittent renewables.
Auctions for energy efficiency and the experience of renewablesLeonardo ENERGY
Auctions are an emerging market-based policy instrument to promote energy efficiency that has started to gain traction in the EU and worldwide. This presentation provides an overview and comparison of several energy efficiency auctions and derives conclusions on the effects of design elements based on auction theory and on experiences of renewable energy auctions. We include examples from energy efficiency auctions in Brazil, Canada, Germany, Portugal, Switzerland, Taiwan, UK, and US.
A recording of this presentation can be viewed at:
https://youtu.be/aC0h4cXI9Ug
Presented by Wolfgang Irrek, Research group "Energy Transport and Climate Policy" Wuppertal Institute for Climate, Environment and Energy, Germany at the IEA DSM Programme workshop in Copenhagen, Denmark on 19 April 2006.
“Keeping pace with technological change: The role of capabilities and dynamis...Structuralpolicyanalysis
The document summarizes the key points from a conference on productivity. It discusses how technological change has failed to significantly boost productivity and income, and the research presented offered explanations. Adoption of digital technologies has been slow and uneven, with the most productive firms benefiting most. Complementary investments in intangible assets like skills and management are also important for adoption. While market concentration has increased, its implications are still debated. Ensuring strong competition, reducing barriers to business dynamism, and supporting skills development and technology adoption were highlighted as important for countries to realize productivity gains from technological change.
This document discusses New Zealand's integrated longitudinal business database (LBD), which combines various administrative and survey data on firms over time. The LBD allows researchers to study questions about firm internationalization and its impacts. Research using the LBD shows firm internationalization can increase productivity but the effects are complex and heterogeneous. Insights from LBD research can help policymakers prioritize and target efforts to support firm internationalization, though the research provides only a partial picture and not definitive policy answers.
AI and Technological Anxiety: Paranoia , or are the robots out to get us Comm...Structuralpolicyanalysis
This document summarizes a discussion on artificial intelligence and technological anxiety. It begins by outlining two views on AI: 1) that it could boost productivity and living standards, and 2) that it poses a threat by replacing human workers. It then examines the recent productivity slowdown in advanced economies and historical examples of technological anxiety. The document discusses how AI is being applied extensively by Uber and how some jobs like taxi driving have been disrupted. However, it notes that whole jobs will likely not be replaced, just certain tasks, and that new types of jobs will emerge. In closing, it acknowledges that few occupations will be immune to disruption from AI going forward.
The document discusses challenges in harnessing the full productivity potential of digital technologies. It shows that technology adoption rates vary both across and within countries, as well as between large and small firms within countries. Data is also presented showing differences in pre-crisis and post-crisis productivity growth and employment rates. Additionally, the document notes that a high proportion of adults in OECD countries have no or limited digital skills.
- The document discusses changing patterns of market power and concentration using a structural macroeconomic model. It finds that while markups impose substantial welfare costs, policies targeting concentration can be ineffective or backfire by reducing productivity. The optimal level of concentration may be higher than typically thought. Explanations for rising markups are complex and reflect technological and regulatory factors that determine firm markups and market structure.
This document discusses opening up the "black box" of the firm to examine the "human side" of productivity by looking at owners, managers, and workers. It proposes measuring the human side through modules on workforce composition/skills, diversity, management practices, and firm organization using linked employer-employee and management survey data. Early findings from Portugal and Denmark show higher skilled employee shares at more productive frontier firms and the rising importance of skills over time, especially at the frontier. Next steps are to broaden the analysis to more countries/sectors and examine the role of policies through incentives, capabilities and dynamism across policy areas like skills, mobility, and competition.
Employer Employee linked data in Italy availability and usage by institusionsStructuralpolicyanalysis
This document summarizes an employer-employee linked data system in Italy called ASIA-Employment. It contains the following key points:
1. ASIA-Employment was created using administrative data from 20 sources to reproduce census data on employment. It contains information on over 15 million workers and 4 million companies.
2. The data includes characteristics of workers, jobs, enterprises and their industry/location. It allows tracking of worker and job flows over time.
3. The data is used by government models to analyze policies and their effects. It can evaluate costs of programs and measure consumption behavior changes from tax policies.
1) The document discusses using matched employer-employee data from Belgium to analyze how demand shocks are passed through firms' production networks and affect wages.
2) Preliminary analysis has found that firms pass through some of their own sales shocks to average wages and employment levels over time.
3) Initial results also show differences in how wage shocks are passed through to blue-collar versus white-collar workers.
EMPLOYEE AUTONOMY AND THE WITHIN-FIRM GENDER WAGE GAP: THE CASE OF TRUST-BASE...Structuralpolicyanalysis
This document discusses a study examining the effect of trust-based work time (TBW) on the gender wage gap within firms in Germany. TBW gives employees autonomy over their work schedules. The study uses linked employer-employee data to compare the within-firm gender wage gap before and after some firms adopted TBW between 2006-2008. It finds TBW adoption led to a reduction in the wage gap, driven by absolute wage gains for women. Further analysis suggests this was likely due to an increase in the share of women performing higher-skilled job tasks after TBW adoption, rather than changes to part-time work. The findings indicate organizational flexibility in work hours through TBW can promote gender wage equality.
NATIONAL WAGE EQUALIZATION AND REGIONAL MISALLOCATION: EVIDENCE FROM ITALIAN ...Structuralpolicyanalysis
This paper examines the effects of national wage agreements in Italy and Germany. In Italy, uniform wages have led to higher productivity and housing prices in the North, and high unemployment in the South. As a result, real wages are actually higher in the South. Applying Germany's regionally differentiated wages could increase Italian employment by 6% and aggregate income by 7.45%. The paper argues national wage agreements generate inefficient allocation of resources and income inequality across and within regions.
(1) Labour market policies do not just affect employment and wages, but also have impacts on productivity through various channels of interaction between labour markets and productivity.
(2) Horizontal labour market policies can have non-horizontal effects by spatially misallocating employment across regions in ways that reduce overall productivity. Complementary policies around housing and transportation are also important.
(3) Considering jobs as just bundles of tasks overlooks how job characteristics also matter; changing firm practices like introducing flexible working arrangements can widen the available labor pool in ways that boost productivity.
The Effects of Management on Productivity: Evidence from Mid-20th CenturyStructuralpolicyanalysis
This document summarizes the results of two studies on the long-term effects of management practices on productivity. The first study examines an unexpected budget cut to the Marshall Plan Productivity Program, which provided management training to Italian firms. It finds that firms receiving management training experienced long-term increases in productivity and survival rates. The second study analyzes a US program that provided in-plant management consulting. It finds that training in different management areas (e.g. operations, human resources) had distinct effects, and that practices were more impactful when combined. Overall, the studies provide causal evidence that implementing better management practices can significantly improve firm performance over many years.
HUMAN CAPABILITIES – MANAGERIAL CAPITAL, ORGANISATIONAL PRACTICES AND MOBILITYStructuralpolicyanalysis
- The document discusses two papers that use rigorous empirical analysis to examine the effects of managerial training programs and technology/knowledge transfers on firm performance.
- The studies find that such interventions can significantly improve outcomes like productivity, especially when they promote complementarities between upgraded managerial practices and investments in skills or new technologies.
- They illustrate how public policy can effectively support catching up by leveraging these complementarities through knowledge diffusion across firms.
1. Machine learning is becoming pervasive across many tasks, occupations, and industries due to its abilities in classification, labeling, perception, prediction, and diagnosis.
2. Machine learning capabilities continue to improve over time as more data is analyzed, overcoming limitations.
3. Machine learning acts as a general purpose technology that can spawn new complementary innovations by providing building blocks like perception and problem solving.
1. Declining market dynamism, as seen through declining young firm employment shares, has negatively impacted productivity and wage growth. Housing markets and credit conditions have played a role in diminished dynamism.
2. Using matched employer-employee data from Australia, the study finds that declines in house prices reduced young firm formation and employment, disproportionately impacting younger and less educated workers.
3. Policies that influence housing markets and finance for small businesses can have long-term consequences by affecting firm entry and growth, labor market fluidity, and wages - particularly for young workers.
The document analyzes the effects of housing prices and credit supply on young firm activity using panel data at the metropolitan statistical area (MSA) level from 1981-2014. The key findings are:
1) Using an instrumental variables approach, the study finds large effects of local house price changes on local young firm employment growth and shares.
2) A separate, smaller role is found for locally exogenous shifts in bank lending supply on young firm activity.
3) Housing market fluctuations play a major role in driving medium-run fluctuations in young firm employment shares by acting as a transmission channel and driving force in recent decades according to the analysis.
The document outlines questions posed about defining market power, assessing evidence of market power incidence, and implications for competition policy. It then provides definitions of market power and discusses how various empirical studies have found increasing industry concentration, rising markups, declining labor share, and dispersion of productivity. However, the evidence does not clearly establish the causes and the policy implications are uncertain given multiple possible explanations. Competition policy challenges that could be further examined include treatment of mergers, small mergers, interaction with globalization, and exemptions. The author advocates a cautious policy response while continuing to evaluate frameworks.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
In a tight labour market, job-seekers gain bargaining power and leverage it into greater job quality—at least, that’s the conventional wisdom.
Michael, LMIC Economist, presented findings that reveal a weakened relationship between labour market tightness and job quality indicators following the pandemic. Labour market tightness coincided with growth in real wages for only a portion of workers: those in low-wage jobs requiring little education. Several factors—including labour market composition, worker and employer behaviour, and labour market practices—have contributed to the absence of worker benefits. These will be investigated further in future work.
2. Elemental Economics - Mineral demand.pdfNeal Brewster
After this second you should be able to: Explain the main determinants of demand for any mineral product, and their relative importance; recognise and explain how demand for any product is likely to change with economic activity; recognise and explain the roles of technology and relative prices in influencing demand; be able to explain the differences between the rates of growth of demand for different products.
Seminar: Gender Board Diversity through Ownership NetworksGRAPE
Seminar on gender diversity spillovers through ownership networks at FAME|GRAPE. Presenting novel research. Studies in economics and management using econometrics methods.
Abhay Bhutada, the Managing Director of Poonawalla Fincorp Limited, is an accomplished leader with over 15 years of experience in commercial and retail lending. A Qualified Chartered Accountant, he has been pivotal in leveraging technology to enhance financial services. Starting his career at Bank of India, he later founded TAB Capital Limited and co-founded Poonawalla Finance Private Limited, emphasizing digital lending. Under his leadership, Poonawalla Fincorp achieved a 'AAA' credit rating, integrating acquisitions and emphasizing corporate governance. Actively involved in industry forums and CSR initiatives, Abhay has been recognized with awards like "Young Entrepreneur of India 2017" and "40 under 40 Most Influential Leader for 2020-21." Personally, he values mindfulness, enjoys gardening, yoga, and sees every day as an opportunity for growth and improvement.
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...sameer shah
Delve into the world of STREETONOMICS, where a team of 7 enthusiasts embarks on a journey to understand unorganized markets. By engaging with a coffee street vendor and crafting questionnaires, this project uncovers valuable insights into consumer behavior and market dynamics in informal settings."
Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
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1. GERMAN PRODUCTION CENSUS
– AMTLICHE FIRMENDATEN FÜR
DEUTSCHLAND (AFID)
Philipp Massier
Centre for European Economic Research (ZEW) Mannheim
Paris, 10 July 2018
2. REGULATION AND COVERAGE
2
Amtliche Firmendaten für Deutschland (AFiD)
Fee-based data access for researchers via research data centers
Module-based data set
Data is available since 1995 (depending on the survey 2003 or 2006)
Different surveys conducted on plant or firm level
On plant & firm level: All German plants of firms with more than 20
employees (plant = local entity of a firm)
Only on firm level (CSS): 20-500 employees representative sample of
firms, > 500 employees full sample (firm = legal entity)
3. COVERAGE AND MODULES
3
Plant & firm level:
AFiD Panel Industrial Units (since 1995)
40.000 firms/ 50.000 plants
General information: turnover, employees, investment etc.
AFiD Module Energy Use (since 2003)
Information on energy use: electricity use, electricity self-generation, natural gas etc.
AFiD Module Environmental Protection Investments (since 2006)
Subsample (up to 10.000 plants)
Information on investment in waste management, water conservation, noise abatement, air pollution
control, nature and landscape preservation, soil remediation, and climate protection.
Firm level:
Cost Structure Survey
Annual data on cost structure, expenditures
Random samples drawn every four years (20-500 employees)
Data on firm level; approx. 15.000 observations
4. PUBLICATIONS AND PAST PROJECTS
4
The impacts of the EU ETS on efficiency and economic performance – An empirical
analyses for German manufacturing firms
Löschel, Lutz, and Managi, forthcoming (Resource and Energy Economics)
The European Union Emissions Trading Scheme and Fuel Efficiency of Fossil Fuel Power
Plants in Germany
Germeshausen, 2018 (DP)
Drivers of Energy Efficiency in German Manufacturing: A Firm-level Stochastic Frontier
Analysis
Löschel, Lutz, and Massier, 2017 (DP)
Emissions Trading and Productivity: Firm-level Evidence from German Manufacturing
Lutz, 2016 (R&R JEEM)
The Effect of Electricity Taxation on the German Manufacturing Sector: A Regression
Discontinuity Approach
Flues and Lutz, 2015 (DP)
5. CURRENT AND FUTURE PROJECTS
5
Kopernikus project: Energiewende Navigation System (ENavi)
Funding: German Federal Ministry of Education and Research
Prices as Climate Policy: Assessing the Causal Effect of Electricity Prices on
German Manufacturing Plants
von Graevenitz, Lutz, and Massier
Do voluntary environmental programs reduce emissions? EMAS in the German
manufacturing sector
von Graevenitz, Kube, Löschel, and Massier
6. CURRENT AND FUTURE PROJECTS
6
Evaluating Policy Instruments for the Transformation to a Low
Carbon Economy: Causal Evidence from Administrative Micro Data -
TRACE
Funding: German Federal Ministry of Education and Research
Studying both quantitative and qualitative effects of climate policies on the
labor market
7. CURRENT AND FUTURE PROJECTS
7
Ex-Post Evaluation of Benefits and Costs of Environmental
Regulation
Funding: German Environment Agency
Identification of causal impacts of environmental policies on the German
industry (e.g. Industry Emissions Directive)
Use of AFiD in combination with E-PRTR to identify impacts on firm
performance (economic & environmental)
8. DATA AND MERGE ISSUES
Identification and merge on plant level
No shared plant level identifier between statistics
Use of e.g. name matching is not allowed
E-PRTR (plant and firm information), no useful identifier (only on firm level)
EPER (2001&2004) & E-PRTR (starting 2007) different installation identifiers (in
German case)
Energy use data
Disaggregated energy use (kWh) data on plant level (electricity, natural gas etc.)
But no expenditure data (EUR) on plant level or fuel type
Data access only via research data centers (only on-site or by sending do-
files)
Very strict confidentiality regulation & enforcement
10.07.2018 8