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Outdoor monitoring of Roll-to-Roll (R2R) printed flexible organic photovoltaic (OPV) modules for building integrated/attached photovoltaics (BIPV/BAPV) applications.

Outdoor monitoring of Roll-to-Roll (R2R) printed flexible organic photovoltaic (OPV) modules for building integrated/attached photovoltaics (BIPV/BAPV) applications.

Throughout Europe, large housing estates dating from the socialist era are an important part of the housing stock and cultural life, and in some cities the apartment buildings within them house more than half of the residents. There have been many attempts to regenerate large housing estates, since they were built with cheap materials, using contemporaneous (and outdated) planning principles, and were projected to be used for only one generation as ‘temporary housing’ until more permanent solutions could be established. Consequently, many large housing estates have survived beyond their useful life and are in need of renovation. This article moves beyond individual and disconnected rehabilitation projects and renewal strategies and conceptualises a larger transformation of large housing estates in Central and Eastern Europe based on sustainability principles. We envision a comprehensive ‘green transformation’ that would transform large housing estates into ‘eco-villages’ that not only address current challenges but also propel large housing estates into their next lives as desirable residential space. The image of housing estates can be vastly improved if the built environments and landscapes are transformed so that housing estates possess green infrastructure and other features of sustainable design. This article was published open access under a CC BY-NC-ND licence: https://creativecommons.org/licences/by-nc-nd/4.0/ .

Throughout Europe, large housing estates dating from the socialist era are an important part of the housing stock and cultural life, and in some cities the apartment buildings within them house more than half of the residents. There have been many attempts to regenerate large housing estates, since they were built with cheap materials, using contemporaneous (and outdated) planning principles, and were projected to be used for only one generation as ‘temporary housing’ until more permanent solutions could be established. Consequently, many large housing estates have survived beyond their useful life and are in need of renovation. This article moves beyond individual and disconnected rehabilitation projects and renewal strategies and conceptualises a larger transformation of large housing estates in Central and Eastern Europe based on sustainability principles. We envision a comprehensive ‘green transformation’ that would transform large housing estates into ‘eco-villages’ that not only address current challenges but also propel large housing estates into their next lives as desirable residential space. The image of housing estates can be vastly improved if the built environments and landscapes are transformed so that housing estates possess green infrastructure and other features of sustainable design. This article was published open access under a CC BY-NC-ND licence: https://creativecommons.org/licences/by-nc-nd/4.0/ .

The implementation of battery electric vehicles (BEVs) in underground mining is relatively recent. BEVs offer several advantages over diesel machines, including enhanced working conditions through reduced noise and heat and the lack of toxic exhaust gases or diesel particulate matter. In addition to reducing greenhouse gases, they have the potential to reduce ventilation and air conditioning costs. Nevertheless, there are certain concerns about BEVs, in areas of productivity, fire safety, economic viability, user-friendliness, and potential electrical-related issues. To address these, two surveys were conducted, one among underground mine management and the other among mine personnel to ascertain their opinions and experiences of BEVs. The results indicated the primary motivators for mines to adopt BEVs were to create a healthier working environment and reduce carbon emissions. The factors hindering the implementation were high costs and the lack of proven reliability. Mine personnel appreciated BEVs for their quietness and reduced fluids and components; however, they had concerns about fire safety and limited battery duration. This study presents the extent of BEV use in underground mining and associated fire incidents and a summary of the survey results. Validerad;2024;Nivå 2;2024-10-30 (joosat);Full text: CC BY license

The implementation of battery electric vehicles (BEVs) in underground mining is relatively recent. BEVs offer several advantages over diesel machines, including enhanced working conditions through reduced noise and heat and the lack of toxic exhaust gases or diesel particulate matter. In addition to reducing greenhouse gases, they have the potential to reduce ventilation and air conditioning costs. Nevertheless, there are certain concerns about BEVs, in areas of productivity, fire safety, economic viability, user-friendliness, and potential electrical-related issues. To address these, two surveys were conducted, one among underground mine management and the other among mine personnel to ascertain their opinions and experiences of BEVs. The results indicated the primary motivators for mines to adopt BEVs were to create a healthier working environment and reduce carbon emissions. The factors hindering the implementation were high costs and the lack of proven reliability. Mine personnel appreciated BEVs for their quietness and reduced fluids and components; however, they had concerns about fire safety and limited battery duration. This study presents the extent of BEV use in underground mining and associated fire incidents and a summary of the survey results. Validerad;2024;Nivå 2;2024-10-30 (joosat);Full text: CC BY license

A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations. However, harnessing this flexibility in real-time through the standard optimization techniques is challenged by the need for sensitive operational datasets and substantial computational resources. To alleviate the data and computational requirements, this paper introduces a coordination mechanism based on contextual regression. This mechanism, abbreviated as AgentCONCUR, associates cost-optimal task shifts with public and trusted contextual data (e.g., real-time prices) and uses regression on this data as a coordination policy. Notably, regression-based coordination does not learn the optimal coordination actions from a labeled dataset. Instead, it exploits the optimization structure of the coordination problem to ensure feasible and cost-effective actions. A NYISO-based study reveals large coordination gains and the optimal features for the successful regression-based coordination.

A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations. However, harnessing this flexibility in real-time through the standard optimization techniques is challenged by the need for sensitive operational datasets and substantial computational resources. To alleviate the data and computational requirements, this paper introduces a coordination mechanism based on contextual regression. This mechanism, abbreviated as AgentCONCUR, associates cost-optimal task shifts with public and trusted contextual data (e.g., real-time prices) and uses regression on this data as a coordination policy. Notably, regression-based coordination does not learn the optimal coordination actions from a labeled dataset. Instead, it exploits the optimization structure of the coordination problem to ensure feasible and cost-effective actions. A NYISO-based study reveals large coordination gains and the optimal features for the successful regression-based coordination.