Clustering of European Climates and Representative Climate Identification for Building Energy Simulation Analyses

Pernigotto, Giovanni; Walsh, Angélica; Gasparella, Andrea; Hensen, Jan

doi:10.26868/25222708.2019.210938

Cited by 8 publications

(8 citation statements)

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“…Climate data with hourly temporal resolution are studied in this work, allowing us to investigate the possible wind and solar energy potential variation due to climate change over time and to cover a wide range of possible future conditions. Seven cities are selected from the European nearly zero-energy buildings (NZEB) climate zone to further assess the future solar and wind potential [41]. The NZEB classified Europe into five zones; cities are selected from Zone 1 and 2 (Barcelona and Athens), Zone 3 (Salzburg), Zone 4 (Munich and Brussels), and Zone 5 (Gothenburg and Narvik).…”

Section: Climate Datamentioning

confidence: 99%

Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties

2022

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Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent uncertainty due to the complexity of climate models. This work provides a comprehensive study to quantify the impact of climate uncertainties in projecting future renewable energy potential over five climate zones of Europe. Thirteen future climate scenarios, including five global climate models (GCMs) and three representative concentration pathways (RCPs), are downscaled by the RCA4 regional climate model (RCM) over 90 years (2010–2099), divided into three 30-year periods. Solar and wind energy production is projected considering short-/long-term climate variations and uncertainties in seven representative cities (Narvik, Gothenburg, Munich, Antwerp, Salzburg, Valencia, and Athens). The results showed that the uncertainty caused by GCMs has the most substantial impact on projecting renewable energy generation. The variations due to GCM selection can become even larger than long-term climate change variations over time. Climate change uncertainties lead to over 23% and 45% projection differences for solar PV and wind energy potential, respectively. While the signal of climate change in solar radiation is weak between scenarios and over time, wind energy generation is affected by 25%.

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Section: Climate Datamentioning

confidence: 99%

Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties

2022

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“…Climate differences are significant factors in the design solutions offered by CABSs. In this study, cases are classified by the Köppen climate zone classification [31,32] Through the support of a wide literature review, Table 3 is constructed. This table presents the chosen cases, classified by climate zones and featuring the main façade details of each case.…”

Section: Cabs Office Building Façade-system Analysismentioning

confidence: 99%

New Taxonomy of Climate Adaptive Building Shell Office Buildings: Focus on User–Façade Interaction Scenarios

Hafizi

Vural

2022

Energies

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As one of the most critical considerations in the contemporary era, sustainability heightens the need to find more suitable solutions for architectural designs. Climate adaptive building shells (CABS) are among the most promising alternatives for achieving sustainability goals by reducing energy consumption. Regardless of technological developments, this type of system has a reputation for increasing the distraction of occupants and consequently decreasing their satisfaction level. This research has been developed to focus on the occupant-centric study rather than technological advancements of the system. This study introduces the user–façade interaction scenarios and applies this classification on CABS office buildings. The purpose of this study is to introduce a new multi-domain taxonomy for CABS office buildings and update the database of this system by adding a new variable focusing on occupants. The study was designed on the foundation found with PRISMA methodology which highlights the lack of occupant-centric research on CABS. The research carried on as a qualitative method with an inductive approach which with the literature review introduced the user–façade interaction scenarios and the latest update of the CABS database. Accordingly, the office cases were categorized within different climatic zones, and later as a correlational study, each case was studied based on user–façade interaction scenarios. Analysis of case databases according to user–façade interaction types clears the lack of development in the majority of scenarios. Lastly, the study concluded by introducing a novel multi-domain taxonomy of CABS office buildings by considering user–façade interaction scenarios. The further value of this study is to be a foundation for future studies on CABS office buildings by considering the occupants as a primary element of the research.

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“…Two Köppen-Geiger climate classes are given for each location. The first one represents the classification of the photovoltaic climate, K-G-P [33], while the second one corresponds to the climates developed for simulation analysis of buildings, K-G-S [34]. Most cities selected for the analysis were classified as Dfb-a cold climate without a dry season and with a warm summer, based on the K-G-S classification.…”

Section: Climatementioning

confidence: 99%

Towards Improving the Durability and Overall Performance of PV-ETICS by Application of a PCM Layer

et al. 2021

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The main goal of the paper was to numerically analyse the risk of overheating of the Energy Activated External Thermal Insulation Composite System (En-ActivETICS) as an example of Building Integrated Photovoltaics (BIPV). The analyses were conducted with the coupled power flow method (thermal and electrical) for 20 European cities. All locations were analysed considering the local climate in the context of building performance simulation as well as electricity production. The obtained results allowed for the determination of the risk of overheating, which can influence system durability, accelerated thermal ageing, and overall performance. It was revealed that the risk of overheating above 80 °C is possible in almost all locations; however, the intensity considerably differs between southern and northern Europe. The effect of latent heat storage for better thermal stabilization and overall performance was determined numerically for all locations. Finally, the improved solution with a phase change material (PCM) layer beside the PV panel was proposed individually for specific climatic zones, considering the required heat capacity. The maximum panel temperature for improved En-ActivETICS does not exceed 85 °C for any location.

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Clustering of European Climates and Representative Climate Identification for Building Energy Simulation Analyses

Cited by 8 publications

References 0 publications

Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties

Climate Change and Renewable Energy Generation in Europe—Long-Term Impact Assessment on Solar and Wind Energy Using High-Resolution Future Climate Data and Considering Climate Uncertainties

New Taxonomy of Climate Adaptive Building Shell Office Buildings: Focus on User–Façade Interaction Scenarios

Towards Improving the Durability and Overall Performance of PV-ETICS by Application of a PCM Layer

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