| 1. |
- Aghaei, Mohammadreza, et al.
(författare)
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Collective Intelligence for Energy Flexibility - Collectief : An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings
- 2023
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Ingår i: 2023 International Conference on Future Energy Solutions, FES 2023. - 9798350332308
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Konferensbidrag (refereegranskat)abstract
- COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. COLLECTiEF aims to enhance, implement, test, and evaluate an interoperable and saleable energy management system based on collective intelligence that allows easy and seamless integration of legacy equipment into a collaborative network within and between existing buildings and urban energy systems with reduced installation cost, data transfer, and computational power while increasing user comfort, energy flexibility, climate resilience, and data security. To achieve this goal, the COLLECTiEF solution requires the development of software and hardware packages to smart up buildings and their legacy equipment on a large scale while maintaining simple and robust communication with the energy grid. Here, we present the project concept, structure, objectives, and working packages. Furthermore, the main progress and achievements obtained during the first two years of the project are presented.
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| 2. |
- Attia, Shady, et al.
(författare)
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Overheating calculation methods, criteria, and indicators in European regulation for residential buildings
- 2023
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Ingår i: Energy and Buildings. - : Elsevier. - 0378-7788 .- 1872-6178. ; 292
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Tidskriftsartikel (refereegranskat)abstract
- With the ongoing significance of overheating calculations in the residential building sector, building codes such as the European Energy Performance of Building Directive (EPBD) are essential for harmonizing the indicators and performance thresholds. This paper investigates Europe's overheating calculation methods, indicators, and thresholds and evaluates their ability to address climate change and heat events. e study aims to identify the suitability of existing overheating calculation methods and propose recommendations for the EPBD. The study results provide a cross-sectional overview of twenty-six European countries. The most influential overheating calculation criteria are listed the best approaches are ranked. The paper provides a thorough comparative assessment and recommendations to align current calculations with climate-sensitive metrics. The results suggest a framework and key performance indicators that are comfort-based, multi-zonal, and time-integrated to calculate overheating and modify the EU's next building energy efficiency regulations. The results can help policymakers and building professionals to develop the next overheating calculation framework and approach for the future development of climate-proof and resilient residential buildings.
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| 3. |
- Chinazzo, Giorgia, et al.
(författare)
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Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations
- 2022
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Ingår i: Building and Environment. - : Elsevier BV. - 0360-1323. ; 226
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Forskningsöversikt (refereegranskat)abstract
- The perception, physiology, behavior, and performance of building occupants are influenced by multi-domain exposures: the simultaneous presence of multiple environmental stimuli, i.e., visual, thermal, acoustic, and air quality. Despite being extensive, the literature on multi-domain exposures presents heterogeneous methodological approaches and inconsistent study reporting, which hinder direct comparison between studies and meta-analyses. Therefore, in addition to carrying out more multi-domain studies, such investigations need to be designed, conducted, and documented in a systematic and transparent way. With the goal to facilitate and support future multi-domain studies and their meta-analyses, this work provides (1) a range of criteria for multi-domain study design and reporting (i.e., defined as quality criteria), and (2) a critical review of the multi-domain literature based on the described criteria, which can serve as guidelines and recommendations for future studies on the topic. The identified quality criteria encompass study set-up, study deployment and analysis, and study outcome, stressing the importance of adopting a consistent terminology and result reporting style. The developed critical review highlights several shortcomings in the design, deployment, and documentation of multi-domain studies, emphasizing the need for quality improvements of future multi-domain research. The ultimate goal of this work is to consolidate our knowledge on multi-domain exposures for its integration into regulatory resources and guidelines, which are currently dominated by single-domain knowledge.
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| 4. |
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| 5. |
- Földváry Ličina, Veronika, et al.
(författare)
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Development of the ASHRAE Global Thermal Comfort Database II
- 2018
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Ingår i: Building and Environment. - : Elsevier BV. - 0360-1323. ; 142, s. 502-512
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Tidskriftsartikel (refereegranskat)abstract
- Recognizing the value of open-source research databases in advancing the art and science of HVAC, in 2014 the ASHRAE Global Thermal Comfort Database II project was launched under the leadership of University of California at Berkeley's Center for the Built Environment and The University of Sydney's Indoor Environmental Quality (IEQ) Laboratory. The exercise began with a systematic collection and harmonization of raw data from the last two decades of thermal comfort field studies around the world. The ASHRAE Global Thermal Comfort Database II (Comfort Database), now an online, open-source database, includes approximately 81,846 complete sets of objective indoor climatic observations with accompanying “right-here-right-now” subjective evaluations by the building occupants who were exposed to them. The database is intended to support diverse inquiries about thermal comfort in field settings. A simple web-based interface to the database enables filtering on multiple criteria, including building typology, occupancy type, subjects' demographic variables, subjective thermal comfort states, indoor thermal environmental criteria, calculated comfort indices, environmental control criteria and outdoor meteorological information. Furthermore, a web-based interactive thermal comfort visualization tool has been developed that allows end-users to quickly and interactively explore the data.
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| 6. |
- Moazami, Amin, et al.
(författare)
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Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions
- 2019
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Ingår i: Applied Energy. - : Elsevier BV. - 1872-9118 .- 0306-2619. ; 238, s. 696-720
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Tidskriftsartikel (refereegranskat)abstract
- Patterns of future climate and expected extreme conditions are pushing design limits as recognition of climate change and its implication for the built environment increases. There are a number of ways of estimating future climate projections and creating weather files. Obtaining adequate representation of long-term patterns of climate change and extreme conditions is, however, challenging. This work aims at answering two research questions: does a method of generating future weather files for building performance simulation bring advantages that cannot be provided by other methods? And what type of future weather files enable building engineers and designers to more credibly test robustness of their designs against climate change? To answer these two questions, the work provides an overview of the major approaches to create future weather data sets based on the statistical and dynamical downscaling of climate models. A number of weather data sets for Geneva were synthesized and applied to the energy simulation of 16 ASHRAE standard reference buildings, single buildings and their combination to create a virtual neighborhood. Representative weather files are synthesized to account for extreme conditions together with typical climate conditions and investigate their importance in the energy performance of buildings. According to the results, all the methods provide enough information to study the long-term impacts of climate change on average. However, the results also revealed that assessing the energy robustness of buildings only under typical future conditions is not sufficient. Depending on the type of building, the relative change of peak load for cooling demand under near future extreme conditions can still be up to 28.5% higher compared to typical conditions. It is concluded that only those weather files generated based on dynamical downscaling and that take into consideration both typical and extreme conditions are the most reliable for providing representative boundary conditions to test the energy robustness of buildings under future climate uncertainties. The results for the neighborhood explaining the critical situation that an energy network may face due to increased peak load under extreme climatic conditions. Such critical situations remain unforeseeable by relying solely on typical and observed extreme conditions, putting the climate resilience of buildings and energy systems at risk.
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| 7. |
- Moazami, Amin, et al.
(författare)
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Towards climate robust buildings: An innovative method for designing buildings with robust energy performance under climate change
- 2019
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Ingår i: Energy and Buildings. - : Elsevier BV. - 0378-7788. ; 202
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Tidskriftsartikel (refereegranskat)abstract
- Neglecting extremes and designing buildings for the past or most likely weather conditions is not the best approach for the future. Robust design techniques can, however, be a viable option for tackling future challenges. The concept of robust design was first introduced by Taguchi in the 1940s. The result of the design process is a product that is insensitive to the effect of given sources of variability, even though the sources themselves are not eliminated. A robust design optimization (RDO) method is for the first time proposed in this paper, for supporting architects and engineers in the design of buildings with robust energy performance under climate change and extreme conditions. The simplicity and the low computational demand of the process underlies the feasibility and applicability of this method, which can be used at any stage of the design process. The results show that the performance of the optimum solution not only has a 81.5% lower variation (less sensitivity to climate uncertainty) but at the same time has a 14.4% lower mean energy use value compared with a solution that is compliant with a recent construction standard (ASHRAE 90.1-2016). Less sensitivity to climate uncertainty means greater robustness to climate change whilst maintaining high performance.
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