scholarly journals Hygrothermal Analysis of CLT-Based Retrofit Strategy of Existing Wall Assemblies According to EN 13788 Standard

2021 ◽  
Vol 65 (2-4) ◽  
pp. 324-329
Author(s):  
Vincenzo Costanzo ◽  
Gianpiero Evola ◽  
Antonio Gagliano ◽  
Luigi Marletta ◽  
Francesco Nocera
Keyword(s):  
Concrete Walls ◽  
Climate Zones ◽  
Climate Conditions ◽  
Wall Structures ◽  
Surface Condensation ◽  
Hygrothermal Performance ◽  
Innovation Project ◽  
U Value ◽  
Hygrothermal Analysis ◽  
The Eu

In the framework of the ongoing EU-funded innovation project called e-SAFE (energy and Seismic Affordable rEnovation solutions), several solutions for the energy and seismic deep renovation of reinforced-concrete (RC) framed buildings in the EU countries are going to be developed and demonstrated. One of these solutions makes use of cross laminated timber (CLT) panels connected to the existing RC frame through specifically designed dampers to increase the seismic and energy performances of the existing envelope. This paper aims to preliminary assess the hygrothermal performance of such CLT panels when applied to various typical wall structures under different climate conditions in Italy through numerical simulations carried out according to the EN 13788 Standard and considering various indoor vapor production classes. Results show that the most problematic existing wall structures are uninsulated concrete walls, for which a risk of surface condensation and mold growth is predicted in all climate zones because of their low thermal resistance (U-value of 3.55 W·m-2·K-1), followed by uninsulated solid brick walls (U-value of 1.81 W·m-2·K-1). The application of CLT panels is found to not only significantly improve the thermal behaviour of the walls, but also to eliminate any surface and interstitial condensation issues in all climate zones.

scholarly journals The Applicability of LSTM-KNN Model for Real-Time Flood Forecasting in Different Climate Zones in China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 440 ◽  
Author(s):  
Moyang Liu ◽  
Yingchun Huang ◽  
Zhijia Li ◽  
Bingxing Tong ◽  
Zhentao Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Nearest Neighbor ◽  
Short Term Memory ◽  
Time Series Prediction ◽  
Flood Forecasting ◽  
K Nearest Neighbor ◽  
Climate Zones ◽  
Climate Conditions ◽  
Prediction Problems

Flow forecasting is an essential topic for flood prevention and mitigation. This study utilizes a data-driven approach, the Long Short-Term Memory neural network (LSTM), to simulate rainfall–runoff relationships for catchments with different climate conditions. The LSTM method presented was tested in three catchments with distinct climate zones in China. The recurrent neural network (RNN) was adopted for comparison to verify the superiority of the LSTM model in terms of time series prediction problems. The results of LSTM were also compared with a widely used process-based model, the Xinanjiang model (XAJ), as a benchmark to test the applicability of this novel method. The results suggest that LSTM could provide comparable quality predictions as the XAJ model and can be considered an efficient hydrology modeling approach. A real-time forecasting approach coupled with the k-nearest neighbor (KNN) algorithm as an updating method was proposed in this study to generalize the plausibility of the LSTM method for flood forecasting in a decision support system. We compared the simulation results of the LSTM and the LSTM-KNN model, which demonstrated the effectiveness of the LSTM-KNN model in the study areas and underscored the potential of the proposed model for real-time flood forecasting.

scholarly journals Methods for Determining Mold Development and Condensation on the Surface of Building Barriers

Buildings ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 4 ◽  
Author(s):  
Aleksander Starakiewicz ◽  
Przemysław Miąsik ◽  
Joanna Krasoń ◽  
Lech Lichołai
Keyword(s):  
Water Vapor ◽  
Vapor Condensation ◽  
Mold Growth ◽  
Vapor Pressures ◽  
Climate Conditions ◽  
Outdoor Climate ◽  
Surface Condensation ◽  
Water Vapor Condensation ◽  
Calculation Results ◽  
Temperature Factors

The article presents four equivalent methods for checking mold growth on the surface of building barriers and checking water vapor condensation on their surface. Each method applies to two parallel phenomena that may occur on a building barrier. The first method is to calculate and compare temperature factors. In the second method, the characteristic humidity in the room is calculated and compared. The third method is to calculate and compare the characteristic temperatures in the room. The fourth method is based on the calculation and comparison of characteristic water vapor pressures. Three boundary conditions are presented for each method and phenomenon: when a given phenomenon can occur, when it begins or ends, and when it does not occur. The presented methods systematize the approach to the problem of mold development and surface condensation. The presented calculation results relate to the selected building barrier functioning in specific indoor and outdoor climate conditions. The calculation results confirm the compliance of the presented methods in identifying the phenomenon of mold growth or condensation on the surface of the barrier. A graphical interpretation of the results for each method with periods of occurrence or absence of a given phenomenon is also presented.

scholarly journals An Experimental Study on the Drying-Out Ability of Highly Insulated Wall Structures with Built-In Moisture and Rain Leakage

2019 ◽  
Vol 9 (6) ◽  
pp. 1222 ◽  
Author(s):  
Klaus Viljanen ◽  
Xiaoshu Lu
Keyword(s):  
Energy Efficient ◽  
Moisture Transfer ◽  
Mineral Wool ◽  
Rain Event ◽  
Controversial Issues ◽  
Wall Structures ◽  
Hygrothermal Performance ◽  
The Difference ◽  
Wood Frame ◽  
Heat And Moisture

The recent research on highly insulated structures presents controversial conclusions on risks in moisture safety. This paper addresses these controversial issues through investigating the hygrothermal performance of energy efficient envelope structures under high moisture loads. The experiments consist of built-in moisture and rain leakage tests in mineral wool insulated structures. A heat and moisture transfer simulation model is developed to examine the drying-out ability in both warm and cold seasons. The results show that the energy efficient structures have an excellent drying out ability against built-in and leakage moisture. The difference in the drying ability is limited compared to conventional structures. A critical leakage moisture amount reaching the insulation cavity for a wood frame wall is determined to be between 6.9–20.7 g in a single rain event occurring every other day. Further research is required to target highly insulated structures, particularly addressing water vapor diffusion and convection.

scholarly journals A comparison of the NFRC and CEN thermal transmittance calculation methods in North America’s eight climate zones.

2021 ◽  
Author(s):  
Peta-Gaye Ebanks
Keyword(s):  
North American ◽  
Comparative Evaluation ◽  
High Performance ◽  
Simulation Software ◽  
Calculation Methods ◽  
Climate Zones ◽  
Standard Methods ◽  
Thermal Transmittance ◽  
U Value ◽  
Performance Frame

Studies have found that the CEN and NFRC methods produce different U-values for the same window. A comparative evaluation of the NFRC and CEN U-value calculation methods was conducted for North American residential high performance window products, as well as several parameters that are most influential in determining the whole window U-value for high performance windows, when utilizing different assumptions and boundary conditions, in North America’s eight climate zones. Using 2-D simulation software, THERM and WINDOW, four North American high performance frame types with double, triple and quad glazing combinations, were simulated and calculated according to the NFRC and CEN standard methods. Overall, the trend showed that for the specific window combinations of this study, the higher the performance of the IGU, the lesser the differences in the whole window U-value of both methods. Several strategies were proposed to support the possibility of the harmonization of both calculation methods.

scholarly journals A comparison of the NFRC and CEN thermal transmittance calculation methods in North America’s eight climate zones.

2021 ◽  
Author(s):  
Peta-Gaye Ebanks
Keyword(s):  
North American ◽  
Comparative Evaluation ◽  
High Performance ◽  
Simulation Software ◽  
Calculation Methods ◽  
Climate Zones ◽  
Standard Methods ◽  
Thermal Transmittance ◽  
U Value ◽  
Performance Frame

Studies have found that the CEN and NFRC methods produce different U-values for the same window. A comparative evaluation of the NFRC and CEN U-value calculation methods was conducted for North American residential high performance window products, as well as several parameters that are most influential in determining the whole window U-value for high performance windows, when utilizing different assumptions and boundary conditions, in North America’s eight climate zones. Using 2-D simulation software, THERM and WINDOW, four North American high performance frame types with double, triple and quad glazing combinations, were simulated and calculated according to the NFRC and CEN standard methods. Overall, the trend showed that for the specific window combinations of this study, the higher the performance of the IGU, the lesser the differences in the whole window U-value of both methods. Several strategies were proposed to support the possibility of the harmonization of both calculation methods.

scholarly journals Sensitivity analysis of hygrothermal performance of wood framed wall assembly under different climatic conditions: the impact of cladding properties

2021 ◽  
Vol 2069 (1) ◽  
pp. 012010
Author(s):  
Chetan Aggarwal ◽  
Lin Wang ◽  
Maurice Defo ◽  
Hua Ge ◽  
Max Junginger ◽  
...  
Keyword(s):  
Material Properties ◽  
Growth Index ◽  
Climatic Conditions ◽  
Climate Zones ◽  
Liquid Diffusivity ◽  
Hygrothermal Performance ◽  
Moisture Performance ◽  
Wall Assembly ◽  
The Impact ◽  
Cladding Material

Abstract One of the parameters that influences the moisture performance of the wood framed wall assembly is the material properties of exterior cladding. The uncertainties of its properties, would result in a range of wall performance. The objective of this study was to investigate the impact of uncertainties in cladding material properties on moisture performance of wood framed wall assembly under different climatic conditions. A wood framed (2×6 wood stud) wall with exterior brick cladding was simulated assuming 1% rain leakage deposited on the exterior side of sheathing membrane. A parametric study was carried out to analyze the impact of the cladding properties on the moisture response of OSB. The simulations were conducted in five different cities located in different climate zones across Canada. The aim was to identify the most influential cladding property on the moisture response of OSB, i.e., mould growth index and moisture content, to the varying cladding properties under different climatic conditions i.e., different cities under historical and future conditions. In general, it was found that liquid diffusivity is the parameter that has the most influence on moisture response of OSB in all the five cities. Also, the significance of this influence varies depending on the climatic conditions.

scholarly journals State regulation of sustainable innovation project funding in the EU countries and Ukraine

2021 ◽  
Vol 18 (2) ◽  
pp. 374-390
Author(s):  
Viktor Oharenko ◽  
Anzhela Merzlyak ◽  
Viktoriia Tomareva-Patlakhova ◽  
Iuliia Vikhort ◽  
Daria Skriabina
Keyword(s):  
State Regulation ◽  
The State ◽  
Innovation Activity ◽  
Horizon 2020 ◽  
Eu Countries ◽  
Sustainable Innovation ◽  
Funding Program ◽  
Innovation Project ◽  
The Impact ◽  
The Eu

The effective implementation of innovations is broadly determined by the ways of their financing, among which project funding is particularly important today. This paper examines the impact of project funding on the innovative growth of the state in the EU countries and Ukraine in the context of sustainable development. Using theoretical and empirical methods, this study identifies and systematizes traditional and innovative forms of sustainable innovation project funding, which are practically used by the EU member states and Ukraine. Based on statistical methods, data analysis for the period from 2014 to 2020 and indicators characterizing the participation of countries in the largest European project funding program Horizon 2020 and other similar programs, the study revealed a close relationship between the conditions created by the state for participation in project funding programs and indicators of innovation activity and the climate of the state. The study allowed determining that funding from international sources, including funds from leading European institutions, which support the dissemination of sustainable innovations, can be a good alternative for innovation project funding under limited domestic resources. The study concluded that diversification of sources and forms of project funding, use and support from the state influences and accelerates the development of innovation infrastructure in a country (clusters, business incubators etc.), as well as the interaction between various participants in a sustainable innovation process (state, regions, large enterprises, small and medium-sized businesses, communities).

Calculating groundwater stress and climate change-induced vulnerability of karst aquifers on a global scale

2021 ◽  
Author(s):  
Philipp Nußbaum ◽  
Márk Somogyvári ◽  
Christopher Conrad ◽  
Martin Sauter ◽  
Irina Engelhardt
Keyword(s):  
Climate Change ◽  
Water Stress ◽  
Climatic Factors ◽  
Karst Aquifer ◽  
Global Scale ◽  
Stress Index ◽  
Karst Aquifers ◽  
Climate Zones ◽  
Climate Conditions ◽  
Temperature And Precipitation

<p>Approximately 10% of the global population rely on groundwater from karst aquifers. Due to complex karst structures, these aquifers have high infiltration capacities and hydraulic conductivities, which makes them vulnerable to pollution and, as prediction and management are complicated, overexploitation. As populations are growing and demand rises, we assess the current level of groundwater stress in karst aquifers with Mediterranean climates and their vulnerability (defined as the change in groundwater stress) to expected changes in temperature and precipitation on the global scale.</p><p>Our approach is based on a Groundwater Stress Index (GSI), which is calculated for 356 karst aquifers (as identified in the World Karst Aquifer Map) that have some of their area located in Mediterranean climate zones (Csa, Csb, and Csc after Köppen/Geiger). GSI are calculated from seven indicators: groundwater recharge, storage, and abstractions, surface runoff, climatic water balance, water-intensity of crops, and groundwater-dependent ecosystems. Each indicator is spatially and temporally averaged to describe a recent trend on aquifer level, resulting in one complex attribute table for the 356 aquifers. GSI is calculated as the average of the normalized indicators for each aquifer, ranging from 0 (no water stress) to 1 (extreme water stress).</p><p>Aquifers are then grouped based on similarities in two classification parameters – degree of karstification (P1) and land cover (P2). Comparison of aquifers with similar classification parameters allows to focus more directly on the relationship between groundwater stress and climate, disregarding relatively constant influences. For each group (e.g., well-developed karst, primarily agriculturally used), we plot calculated GSI values with current temperature and precipitation data. By investigating four Shared Socioeconomic Pathways (SSPs) until 2100, we identify aquifers that mimic future climate conditions for others with similar P1 and P2. We then measure the difference in groundwater stress accompanied by altered climatic factors. This change is interpreted as vulnerability to climate change.</p><p>This approach, which relies on present-day observed conditions, allows us to predict the effect of a changing climate without the need to develop a complex numerical model, which requires large amounts of data and functional understanding of aquifer behavior. While analysis is currently ongoing, we expect both groundwater stress and vulnerabilities to be high. Predicted climate zone shifts by Beck et al. (2018) indicate that, out of 356 karst aquifers with Mediterranean climates, 52 could move to more extreme arid climate zones by 2100.</p><p>Results will be visualized in the form of vulnerability maps that may serve as an “early-warning system”. For particularly threatened aquifers, we will derive recommendations for more sustainable management by suggesting strategies to lower groundwater stress. This is done by taking a closer look at the aquifer’s indicator values and identifying factors that currently contribute the most to groundwater stress.</p>

Defining Climate Zone of Borneo based on Cluster Analysis

2021 ◽  
Author(s):  
Zulfaqar Sa'adi ◽  
Shamsuddin Shahid ◽  
Mohammed Sanusi Shiru
Keyword(s):  
Regional Climate ◽  
Development Planning ◽  
Climate Classification ◽  
Climate Zones ◽  
Local Climate ◽  
Climate Conditions ◽  
Tropical Regions ◽  
Related Development ◽  
Climatic Characteristic

Abstract Although Borneo Island is one of the most vulnerable tropical regions to climate change, maps depicting the local climate conditions employing climate classification are still not well defined. The present study attempted regional climate classification to divide the Borneo region into several homogenous groups based on long-term average climate behavior. Daily gridded rainfall and temperature (Tavg, Tmax, and Tmin) data at 0.25o resolution spanning 56-years (1960−2016) was used. The classification was done using non-hierarchical k-mean and several hierarchical methods, namely, Single, Complete, McQuitty, Average, Centroid, Median, and two algorithms of Ward's method, wardD, and wardD2. The results showed that k-mean, wardD, and wardD2 were able to classify the climate of Borneo into four zones, namely 'Dry and hot' (DH), 'Wet and hot' (WH), 'Wet' (W), and 'Wet and cold' (WC) with a considerable difference at the boundaries. Spatial relevancy, stability, and variability of the clusters based on correlation and compromise programming showed that the wardD method was the most likely to yield acceptable results with optimum 4-cluster to partition the area into four principal climate zones. The constructed cluster plot, centroid plot, and probability distribution function (PDF) showed a distinct climatic characteristic between the climate zones in terms of rainfall, temperature, and seasonality. The proposed climate zonation for Borneo can help in better understanding climate regionality and climate-related development planning.

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