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Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock: Historic buildings stock energy consumption (1) Historic building stock description (2) Building construction elements (3) Case studies (4) Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building. If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users. Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.

This is the software and data set named "Supplementary Software 1" for the research paper "Offshore wind competitiveness in mature markets without subsidy". Please refer to the README file in the ZIP file for instructions. The paper is currently under review and access is for peer-review purposes only. Bundesministerium für Bildung und Forschung under project reference FKZ 01LA1821A. BTU Cottbus-Senftenberg for a postgraduate scholarship (GradV).

This HIGH Horizons report (deliverable 3.3) presents heat health risk thresholds found in literature, threshold related results from WP2 data analysis, methods of determination of the thresholds, heat stress indices, and recommended thresholds at different heat risk levels of the heat health warning system (HHWS) for pregnant and postpartum women, infants and health workers. The selected cut-off thresholds will be implemented in the personalised early warning system (EWS) that the HIGH Horizons consortium is building for pregnant women, infants and health workers, based on ClimApp. The aim of identifying the heat health risk thresholds is to enable the EWS to use these pre-determined trigger levels of heat stress to alert impending heat health risks and provide advice to pregnant and postpartum women, caregivers of infants and health workers to take actions to reduce health risks. 

Read about the roots of GEOTABS and get to know today's remarkable hybridGEOTABS buildings in Europe. Explore the state-of-the-art and new developments in the design and control of low-carbon storage-integrated systems. Find out how hybridGEOTABS reunites architecture with technology, and comfort with sustainability! This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649

The purpose of this carbon assessment report (Deliverable 2.11) is to quantify and understand the carbon emissions associated with private and public healthcare facilities in Kenya, South Africa and Zimbabwe. The report highlights the importance of conducting carbon assessments in healthcare settings, supported by relevant sources and citations. The assessments aim to provide valuable insights into the environmental impact of these facilities. We additionally developed a modelling tool, CARBOMICA, which assists in the strategic allocation of resources to optimize the reduction of carbon emissions at these health facilities. By identifying the key sources of carbon emissions and recommending targeted mitigation measures using CARBOMICA, the report seeks to support the transition towards sustainable and low-carbon healthcare systems in low- and middle-income countries (LMIC). This report is linked to two other HIGH Horizons reports: Protocol for mitigation interventions evaluation in Kenya, South Africa and Zimbabwe (Deliverable 5.7, April 2023), which outlines the approach and tools for assessing and evaluating carbon emissions from health facilities in Kenya, South Africa, and Zimbabwe; Development of a Resource Allocation Tool for Carbon Mitigation Intervention in HealthCare Facilities (CARBOMICA) (Deliverable 3.7, September 2023), which will support the identification and selection of mitigation interventions in the three countries.

This HIGH Horizons deliverable 5.2 describes the evaluation protocol of the ClimApp-MCH for maternal and child health, which is a personalized heat-health warning system (HHWS). The evaluation will take place in Sweden, South Africa and Zimbabwe among pregnant women, postpartum women and their children, and health workers. The ClimApp-MCH as an intervention tool which is described in a separate deliverable (D3.4). This evaluation protocol has been further finetuned with data collection tools, informed consents, and adapted to the local requirements for submission to the respective ethics committees in South Africa, Sweden and Zimbabwe.

This report (deliverable 3.4) presents the prototype of the ClimApp-MCH, the personalised and context-specific early warning system that HIGH Horizons will introduce and test in pregnant and postpartum women and in health workers in South Africa, Sweden and Zimbabwe.The prototype was developed by HIGH Horizons partner ULUND and subcontractor TNO, the Netherlands Organisation for Applied Scientific Research. ClimApp-MCH is a smartphone app adapted from ClimApp that was developed and applied in an EU-funded project. ClimApp integrates comprehensive heat stress indices and individual factors to provide a personalized tool to prove heat stress warning and advice when facing extreme heat and cold events. The current version of ClimApp is being adapted to vulnerable groups of pregnant and postpartum women, infants and young children, and to health workers taking care of them. The prototype is therefore provisionally called ClimApp-MCH, thereby referring to maternal and child health (MCH).ClimApp-MCH could play a role as a tool to make heat warnings and advice more accessible for everyone and make people aware of appropriate behaviour during periods with high ambient temperatures.

This study protocol falls within WP2 of HIGH Horizons (assessment of health impacts and facilities), task 2.1 (population-level impacts: measurement). Analyses of heat-health impacts and data science predictive modelling using population-level data from Sweden, Italy (Lazio region), Greece and data from health facilities in Kenya and South Africa (Gauteng province) underpin all other activities in HIGH Horizons. These analyses, along with systematic reviews, will inform testing and selection of global, EU and national indicators. Analyses will also inform cut-off thresholds for an Early Warning System (EWS), whereby a smartphone app (ClimApp-MCH) will deliver personalised warnings and context-specific messages, co-designed locally. The aim of the epidemiological study is to generate evidence to inform the testing and selection of global, EU and national indicators of heat exposure on maternal, neonatal, and child health (MNCH), and to inform cut-off thresholds for a personalised early warning system for pregnant and postpartum women, infants and health workers. The primary objectives of this study are:1) To quantify relationships between ambient temperature exposures and risk of adverse maternal, neonatal, and child health outcomes;2) To identify the relative temperature threshold(s) above which risk of an adverse outcome is increased;3) To determine valid and reliable heat indicators for assessing heat-MNCH impacts at population-level;4) To characterise groups of pregnant women and children at high risk of heat-related conditions;5) To determine if heat-MNCH associations vary by location, climate, facility, or quality of care, as the data allow.Our secondary objectives are:6) To identify critical windows of susceptibility during gestation or during infancy and childhood; 7) To explore impacts of both acute and cumulative heat exposures.