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Global electricity demand is increasing every year. New services appear on the market in order to make our daily life easier. Decarbonization in transport sector makes electric vehicles more popular. Those electric vehicles are considered new demand in electricity sector. New power plants are to be built in order to serve those increasing demand. Due to climate change and global warming, many countries tend to increase the share of renewable energy. Those renewable power plants such as wind and photovoltaic tend to be, not only unpredictable, but also, distributed generation. They tend to be a number of small-scale power plants which are installed close to the loads in order to reduce the transmission losses. This high number of small-scale power plants makes it more challenging to manage. With all these challenges, the electrical grid must be smarter in order to cope with the increasing demand and also be able to balance between power demand side and power supply side. It should be monitored and be able make real-time adjustment in order to deliver electricity efficiently with standard power security and power quality to consumers.There are various types of smart grid technologies that can contribute directly to the reduction of electricity production cost. The reduction of peak demand is the key. Smart grid technologies such as Home energy management system, utility-scale battery storage system, and vehicle-to-grid are investigated in this master thesis in order to reduce the peak demand.

Global electricity demand is increasing every year. New services appear on the market in order to make our daily life easier. Decarbonization in transport sector makes electric vehicles more popular. Those electric vehicles are considered new demand in electricity sector. New power plants are to be built in order to serve those increasing demand. Due to climate change and global warming, many countries tend to increase the share of renewable energy. Those renewable power plants such as wind and photovoltaic tend to be, not only unpredictable, but also, distributed generation. They tend to be a number of small-scale power plants which are installed close to the loads in order to reduce the transmission losses. This high number of small-scale power plants makes it more challenging to manage. With all these challenges, the electrical grid must be smarter in order to cope with the increasing demand and also be able to balance between power demand side and power supply side. It should be monitored and be able make real-time adjustment in order to deliver electricity efficiently with standard power security and power quality to consumers.There are various types of smart grid technologies that can contribute directly to the reduction of electricity production cost. The reduction of peak demand is the key. Smart grid technologies such as Home energy management system, utility-scale battery storage system, and vehicle-to-grid are investigated in this master thesis in order to reduce the peak demand.

The (rapid) growth of cities and city populations in many regions of the world puts a focus on the question on how people’s mobility can be organized in a smarter and more sustainable way. This paper argues that technologies can only be defined as ‘smart’ if they are demand-oriented, and if innovative political, legal and economic frameworks can be created. In the context of urban mobility, questions to be answered are: Inwhich way(s) do innovative technologies meet the demand of different population groups? What kind of knowledge do providers and users of mobility need in order to create responsable use of such technologies? The transdisciplinary project ‘Neue Mobilität Berlin’ (New Mobility Berlin, http://neue-mobilitaet.berlin/) addresses these questions: place-based approaches promoting smarter and more sustainable forms of local mobility are being combined with iterative bottom-up approaches of discussion, information and playfuleducation for civil society, stakeholders, administrators and politicians. Three years into the project, the team has developed several approaches to promote smarter and more sustainable forms of urban mobility and to deal with a highly contested and emotionalized topic (individual mobility) where fear of loss (of the individually possessed car and it’s parking space) clashes with misinformation, non-reflection of individual mobility behaviour and demand. Intermediary results can be summarized as follows: 1) Smartness in the mobility sector is not merely the introduction of innovative technical solutions but needs to be understood as a process of multilateral information, discussion, and exchange. 2) In order to develop a truly different, and less emotional, approach to (smart and sustainable) mobility, intensive communication with different groups and across these groups is necessary. Our contribution will present results from a four-week trial when 16 people abstained from their personal car and started using ‘smart technologies’ during their daily routines. IS THIS THE REAL WORLD? Perfect Smart Cities vs. Real Emotional Cities. Proceedings of REAL CORP 2019, 24th International Conference on Urban Development and Regional Planning in the Information Society, 679-684

The (rapid) growth of cities and city populations in many regions of the world puts a focus on the question on how people’s mobility can be organized in a smarter and more sustainable way. This paper argues that technologies can only be defined as ‘smart’ if they are demand-oriented, and if innovative political, legal and economic frameworks can be created. In the context of urban mobility, questions to be answered are: Inwhich way(s) do innovative technologies meet the demand of different population groups? What kind of knowledge do providers and users of mobility need in order to create responsable use of such technologies? The transdisciplinary project ‘Neue Mobilität Berlin’ (New Mobility Berlin, http://neue-mobilitaet.berlin/) addresses these questions: place-based approaches promoting smarter and more sustainable forms of local mobility are being combined with iterative bottom-up approaches of discussion, information and playfuleducation for civil society, stakeholders, administrators and politicians. Three years into the project, the team has developed several approaches to promote smarter and more sustainable forms of urban mobility and to deal with a highly contested and emotionalized topic (individual mobility) where fear of loss (of the individually possessed car and it’s parking space) clashes with misinformation, non-reflection of individual mobility behaviour and demand. Intermediary results can be summarized as follows: 1) Smartness in the mobility sector is not merely the introduction of innovative technical solutions but needs to be understood as a process of multilateral information, discussion, and exchange. 2) In order to develop a truly different, and less emotional, approach to (smart and sustainable) mobility, intensive communication with different groups and across these groups is necessary. Our contribution will present results from a four-week trial when 16 people abstained from their personal car and started using ‘smart technologies’ during their daily routines. IS THIS THE REAL WORLD? Perfect Smart Cities vs. Real Emotional Cities. Proceedings of REAL CORP 2019, 24th International Conference on Urban Development and Regional Planning in the Information Society, 679-684

Public transportation is often poorly developed, especially in rural areas, which leads to an increased dependence on personal vehicles. Moreover, since transportation is one of the main drivers of climate change, our research project aims to explore cost-effective methods for sustainable last-mile logistics in rural areas and support decision-makers utilizing a dashboard. For this purpose, an open marketplace platform is planned that intelligently networks suppliers and service providers in a region and bundles orders and deliveries. The aim is also to motivate customers and users to behave in a more environmentally friendly way by suggesting appropriate offers through the way they are presented on the marketplace. This is achieved by integrating Digital Twin (DT) technologies, cognitive agent-based social simulation, transport management systems and recommendation systems. To ensure the project aligns with public needs and acceptance of proposed approaches, we conduct census-representative surveys alongside the development and experimentation phases. In this paper, the overall structure of the research project and the submodels underpinning our solution are introduced. It also includes a visual mockup of a rural region’s DT and introduces several use cases. KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development and Regional Planning in the Information Society, 361-373

Public transportation is often poorly developed, especially in rural areas, which leads to an increased dependence on personal vehicles. Moreover, since transportation is one of the main drivers of climate change, our research project aims to explore cost-effective methods for sustainable last-mile logistics in rural areas and support decision-makers utilizing a dashboard. For this purpose, an open marketplace platform is planned that intelligently networks suppliers and service providers in a region and bundles orders and deliveries. The aim is also to motivate customers and users to behave in a more environmentally friendly way by suggesting appropriate offers through the way they are presented on the marketplace. This is achieved by integrating Digital Twin (DT) technologies, cognitive agent-based social simulation, transport management systems and recommendation systems. To ensure the project aligns with public needs and acceptance of proposed approaches, we conduct census-representative surveys alongside the development and experimentation phases. In this paper, the overall structure of the research project and the submodels underpinning our solution are introduced. It also includes a visual mockup of a rural region’s DT and introduces several use cases. KEEP ON PLANNING FOR THE REAL WORLD. Climate Change calls for Nature-based Solutions and Smart Technologies. Proceedings of REAL CORP 2024, 29th International Conference on Urban Development and Regional Planning in the Information Society, 361-373

Humanity’s role in changing the face of the earth is a long-standing concern, as is the human domination of ecosystems. Geologists are debating the introduction of a new geological epoch, the ‘anthropocene’, as humans are ‘overwhelming the great forces of nature’. In this context, the accumulation of artefacts, i.e., human-made physical objects, is a pervasive phenomenon. Variously dubbed ‘manufactured capital’, ‘technomass’, ‘human-made mass’, ‘in-use stocks’ or ‘socioeconomic material stocks’, they have become a major focus of sustainability sciences in the last decade. Globally, the mass of socioeconomic material stocks now exceeds 10e14 kg, which is roughly equal to the dry-matter equivalent of all biomass on earth. It is doubling roughly every 20 years, almost perfectly in line with ‘real’ (i.e. inflation-adjusted) GDP. In terms of mass, buildings and infrastructures (here collectively called ‘built structures’) represent the overwhelming majority of all socioeconomic material stocks. This dataset features a detailed map of material stocks in the CONUS on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. Spatial extent This subdataset covers the South West CONUS, i.e. AZ NM NV TX For the remaining CONUS, see the related identifiers. Temporal extent The map is representative for ca. 2018. Data format The data are organized by states. Within each state, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided. Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types). Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e. t at 10m x 10m kt at 100m x 100m Mt at 1km x 1km Gt at 10km x 10km For each state, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming. Additionally, the grand total mass per state is tabulated for each county in mass_grand_total_t_10m2.tif.csv. County FIPS code and the ID in this table can be related via FIPS-dictionary_ENLOCALE.csv. Material layers Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). However, these can easily be derived by re-applying the material intensity factors from (see related identifiers): A. Baumgart, D. Virág, D. Frantz, F. Schug, D. Wiedenhofer, Material intensity factors for buildings, roads and rail-based infrastructure in the United States. Zenodo (2022), doi:10.5281/zenodo.5045337. Further information For further information, please see the publication. A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. Publication D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gomez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, H. Haberl. Weighing the US Economy: Map of Built Structures Unveils Patterns in Human-Dominated Landscapes. In prep Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). Workflow development was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 414984028-SFB 1404. Acknowledgments We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; USGS for the National Land Cover Database; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.

Humanity’s role in changing the face of the earth is a long-standing concern, as is the human domination of ecosystems. Geologists are debating the introduction of a new geological epoch, the ‘anthropocene’, as humans are ‘overwhelming the great forces of nature’. In this context, the accumulation of artefacts, i.e., human-made physical objects, is a pervasive phenomenon. Variously dubbed ‘manufactured capital’, ‘technomass’, ‘human-made mass’, ‘in-use stocks’ or ‘socioeconomic material stocks’, they have become a major focus of sustainability sciences in the last decade. Globally, the mass of socioeconomic material stocks now exceeds 10e14 kg, which is roughly equal to the dry-matter equivalent of all biomass on earth. It is doubling roughly every 20 years, almost perfectly in line with ‘real’ (i.e. inflation-adjusted) GDP. In terms of mass, buildings and infrastructures (here collectively called ‘built structures’) represent the overwhelming majority of all socioeconomic material stocks. This dataset features a detailed map of material stocks in the CONUS on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. Spatial extent This subdataset covers the South West CONUS, i.e. AZ NM NV TX For the remaining CONUS, see the related identifiers. Temporal extent The map is representative for ca. 2018. Data format The data are organized by states. Within each state, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided. Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types). Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e. t at 10m x 10m kt at 100m x 100m Mt at 1km x 1km Gt at 10km x 10km For each state, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming. Additionally, the grand total mass per state is tabulated for each county in mass_grand_total_t_10m2.tif.csv. County FIPS code and the ID in this table can be related via FIPS-dictionary_ENLOCALE.csv. Material layers Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). However, these can easily be derived by re-applying the material intensity factors from (see related identifiers): A. Baumgart, D. Virág, D. Frantz, F. Schug, D. Wiedenhofer, Material intensity factors for buildings, roads and rail-based infrastructure in the United States. Zenodo (2022), doi:10.5281/zenodo.5045337. Further information For further information, please see the publication. A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. Publication D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gomez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, H. Haberl. Weighing the US Economy: Map of Built Structures Unveils Patterns in Human-Dominated Landscapes. In prep Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). Workflow development was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 414984028-SFB 1404. Acknowledgments We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; USGS for the National Land Cover Database; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.

Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022).