Clear Window Research Articles

Prenatal exposure to ambient air pollution and persistent postpartum depression

BackgroundAmbient air pollution during pregnancy has been linked with postpartum depression up to 12 months, but few studies have investigated its impact on persistent depression beyond 12 months postpartum. This study aimed to evaluate prenatal ambient air pollution exposure and the risk of persistent depression over 3 years after childbirth and to identify windows of susceptibility. MethodsThis study included 361 predominantly low-income Hispanic/Latina participants with full-term pregnancies in the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) cohort. We estimated daily residential PM2.5, PM10, NO2, and O3 concentrations throughout 37 gestational weeks using inverse-distance squared spatial interpolation from monitoring data and calculated weekly averaged levels. Depression was assessed by the 20-item Center for Epidemiologic Studies-Depression (CES-D) scale at 12, 24, and 36 months postpartum, with persistent postpartum depression defined as a CES-D score ≥16 at any of these timepoints. We performed robust Poisson log-linear distributed lag models (DLM) via generalized estimating equations (GEE) to estimate the adjusted risk ratio (RR). ResultsDepression was observed in 17.8 %, 17.5 %, and 13.4 % of participants at 12, 24, and 36 months, respectively. We found one IQR increase (3.9 ppb) in prenatal exposure to NO2 during the identified sensitive window of gestational weeks 13–29 was associated with a cumulative risk ratio of 3.86 (95 % CI: 3.24, 4.59) for persistent depression 1–3 years postpartum. We also found one IQR increase (7.4 μg/m3) in prenatal exposure to PM10 during gestation weeks 12–28 was associated a cumulative risk ratio of 3.88 (95 % CI: 3.04, 4.96) for persistent depression. No clear sensitive windows were identified for PM2.5 or O3. ConclusionsMid-pregnancy PM10 and NO2 exposures were associated with nearly 4-fold increased risks of persistent depression after pregnancy, which has critical implications for prevention of perinatal mental health outcomes.

The Kunming–Montreal Global Biodiversity Framework and the Paris Agreement need a joint work programme for climate, nature and people

Abstract The global climate and biodiversity crises are closely intertwined, yet no policy instrument currently tackles both jointly. This is problematic, as the lack of international platforms for designing coordinated and coherent policy frameworks that align targets across the nexus of biodiversity and climate change poses risks to nature and people. Here, we argue that the successful implementation of both the Paris Agreement and the Global Biodiversity Framework (GBF) requires a joint work programme between the United Nations Framework Convention on Climate Change (UNFCCC) and the Convention on Biological Diversity (CBD). Such a joint work programme could fill the current global governance vacuum and address critical implementation gaps, while fostering innovation and synergies in climate and biodiversity action. Based on a review of existing work programmes under the UNFCCC and interagency and joint work programmes established with the CBD, we provide a concept of how this joint programme could be set up, ideas on the type of issues it should tackle and recommendations for successful implementation. Policy implications: The UNFCCC and CBD are unique platforms for providing the evidence to, and guiding the way through the changes we need, but higher levels of integration between the biodiversity and climate change agendas are needed to plug the implementation gap between the GBF and the Paris Agreement. The upcoming Conference of the Parties (COP) for the United Nations Framework Convention on Climate Change (COP29) and the Convention on Biological Diversity (COP16) present a clear policy window for the two conventions to introduce a formal governance structure, such as the one proposed in this contribution, that brings together ideas, people, organizations and processes necessary for joining the dots on how to both stabilize our climate and recover our nature.

Experimental study of a PV-PCM window under hot summer and warm winter climate

An energy-efficient PV-PCM (Photovoltaic-Phase change material) window is proposed in this study. During the day, a portion of the incident solar radiation is converted into electricity, while excessive heat from internal sources and solar radiation is stored within the PCM infill. At night, the stored heat can be released from the PCM. Unlike existing PV windows with PCM infill, the PCM is sealed in separate modules, allowing for easy adjustment or removal to better adapt to different weather conditions. In this study, the light, thermal and electrical performance of the PV-PCM window was tested in comparison with common clear glazing window, PV window and PCM-infill window under hot summer and warm winter climate.The experiment results demonstrated the ability of PV-PCM window in delaying and reducing the peak indoor temperature in hot summer. Compared with common clear glazing window, the peak temperature reduced by 8.67, 5.35 and 10.70 °C in the three days. Correspondingly, the indoor heat gains were reduced by 364.97, 265.96 and 301.10 kJ. SHGC of the proposed PV-PCM window was reduced to <0.30, whereas the U-value was reduced to <2.50 W/(m2·K). Compared with the PV window, more power generation were observed by PV-PCM window because of the cooling effect brought by the PCM module nearby. Whilst balancing thermal regulation, the daily power generations of the 0.36 m2 semi-transparent CdTe PV-PCM window were 548.33, 316.55 and 58.85 kJ.

IFNN: Enhanced interpretability and optimization in FNN via Adam algorithm

This investigation seeks to reconcile the interpretability of artificial intelligence with the imperative of maintaining optimal performance, through the introduction of the IFNN model. This model represents a sophisticated iteration of the Fuzzy Neural Network (FNN) paradigm, engineered for enhanced interpretability. At the heart of this innovation lies the application of the Adam optimization algorithm, integrated into a tri-layered architectural construct. This approach is deliberately designed to elevate the models' accuracy across an array of datasets, thereby positioning the IFNN model as an example of an interpretable AI system that does not compromise on precision.A seminal aspect of this model is its capacity to transmute logical neurons within the intermediary layer into clear fuzzy rules. This transformative process propels the model beyond the confines of traditional AI frameworks, ushering in a new era of transparency in the AI decision-making arena. Such progress is achieved through a meticulous fuzzy rule-based examination, anchored by an exhaustive appraisal of interpretability metrics, including but not limited to sensitivity, completeness, and the analysis of fuzzy rule consequents. These logical neurons, the progenitors of the aforementioned fuzzy rules, endow the model with the ability to engage in deep, interpretable analyses of data.The IFNN model has been tested through statistical analysis, interpretability assessments, and empirical validation against real-world datasets about sepsis identification, showcasing its unparalleled ability to unlock and articulate the complex knowledge embedded within data. This model represents a significant evolution in AI methodologies, providing a clear window into the rationale underpinning its decisions, achieved through an advanced fuzzy rule-based methodology and a full spectrum of interpretability metrics.

A sustainable utilization approach of waste biomass resources to smart materials for buildings

Resource utilization of solid waste promotes resource conservation, energy transformation and sustainable development. In this study, we developed a synthetic strategy for converting biomass waste, such as waste bamboo powder, into a smart material with thermochromic properties - hydroxypropyl cellulose (HPC). The synthesis process includes extraction of cellulose and modification with hydroxypropyl groups. The maximum extraction efficiency of cellulose from raw bamboo powder was up to 48 % by carefully adjusting the reaction conditions including NaOH concentration, reaction time, and treatment temperature. The maximum yield of modification process was achieved to 1.32 g/g by optimizing alkalization temperature, alkalization time, NaOH concentration, propylene oxide concentration, etherification temperature and etherification time. The samples were characterized by a variety of techniques such as FTIR, 1H NMR, XRD, SEM to validate the micro-structure of the extracted cellulose the HPC materials. Moreover, this study explored the potential application of HPC hydrogel in smart window application, and evaluated its building energy saving efficiency under different climate conditions through computational simulation. The corresponding results showed that the HPC hydrogel smart window could have significant energy saving potential compared to ordinary clear glass window. This novel approach of converting waste resources into high valued thermochromic materials for smart windows, not only reduces waste disposal demand for excessive land-use and energy consumption but also shows a positively contributes to sustainable development, environmental protection, as well as energy conservation.

Enabling accessibility to the CellScape spatial biology workflow for researchers using standard histology protocols and pre-slided specimens.

e15185 Background: Solid tumor specimen collection during clinical trials often follows a standard histology protocol, ending in the generation of FFPE sections mounted onto 1 mm histology slides. Though a common sample format for researchers developing tissue-based biomarkers, slides present a data quality challenge for multiplexed spatial biology workflows. Here we present data describing an innovative flow cell design fully compatible with pre-slided tissue specimens. We collected spatial biology data using this slide-compatible flow cell and compared it to the gold standard direct mounting on coverglass. Several rounds of marker staining and imaging demonstrate equivalency in method outcomes including image resolution, signal to noise, and re-interrogation capacity. Methods: FFPE biopsy tissue specimens (tumor punch biopsies and a tonsil section) were mounted on standard histology slides. These specimens were incorporated into flow cells using a new glass coverslip and porting device, CellScape™ Slide, that pairs with a standard histology slide to form a microfluidic chamber. After mounting, each sample was probed for consensus CD markers (CD45, CD3, CD4,CD8,CD20, etc.) through several rounds of iterative immunofluorescence staining using CellScape™ Precise Spatial Multiplexing. The resulting multi-layered whole slide image dataset was then interrogated for spatial resolution and signal-to-noise using digital image analysis. Results: Spatial resolution and signal-to-noise ratio (SNR) were assessed through comparison to data collected from similar samples using the existing CellScape microfluidic chip. The lowest intensity signal collected with at least a 30:1 SNR (acceptable for image analysis) was equivalent or lower in the CellScape Slide preparation (equivalent sensitivity). The highest intensity signal collected was equivalent between the two flow cell designs. Comparing stain quality (specificity, sensitivity) among markers stained through multiple rounds of iterative staining, imaging, and signal remove via photoinactivation showed that the CellScape Slide flow cell is on par with or better than the existing CellScape chip. Further, the usable clear window of the CellScape Slide flow chamber, measuring 16 mm x 44 mm, was found to be greater than twice that of the existing chip. Literature review determined this to also be the largest imaging window available among commercially available spatial biology platforms. Conclusions: Assessment of the CellScape Slide flow cell, innovative in providing access to the CellScape spatial biology workflow for pre-mounted FFPE tissue, determined that the optical performance of the new flow cell is at least on par with the existing flow cell. Further, the usable window is over twice the area, and the new flow cell is fully capable of supporting re-interrogation of the sample.

Achieving stable and sustainable Mungbean yields in Australia via optimal sowing dates

ContextAs a rainfed, short-season crop, mungbean is a particularly attractive summer rotation option for Australian farmers, but the rate of mungbean adoption in Australia is low due to its high yield instability. A lack of research conducted on modern mungbean in Australia has hindered farmers’ ability to understand how to best manage the crop and close the yield gap. ObjectivesThe aim of this study was to provide recommendations for optimal sowing windows (balancing maximum yield potential with minimum risk—i.e. instability and crop failure). MethodsWe simulated 60 years of growing mungbean at 180 different sowing times, four different initial soil water levels and at seven sites across Queensland and New South Wales using the new Agricultural Production Systems sIMulator Next Generation (APSIM NextGen) Mungbean model. We then calculated the impact of sowing date on mungbean water use efficiency and on the soil water deficit for the subsequent crop in the rotation. ResultsHigher initial soil water levels decreased risk (instability and failure) at all sites. Arid sites with high evaporative demand had optimal sowing windows later (February) in the growing season. More temperate sites yielded better with higher levels of stability when sown between November and January. Sowing in September/October is not recommended in any site as it coincided with low yield stability and water use efficiency. Not all sites had a clear optimal sowing window. We conclude, therefore, that in some environments, sowing time can only marginally reduce risks in growing mungbean. ConclusionsWe identified optimal sowing window that can reduce risks of a failed crop by 20 % and increase stability without losing yield potential. The timing of the optimal sowing window for a given site appears to be influenced by avoiding periods with high evaporative demand during the reproductive phase. ImplicationsModelling has been critical for exploring the trade-offs between maximizing and stabilizing mungbean yields over a wide range of environments and growing seasons to determine the optimal sowing windows across the main growing environments in Australia.

Assessment of HVAF thermally sprayed coatings: Unraveling microstructural, electrochemical, and tribological performance using glass former Fe-Cr-Mo-Nb-B feedstock powder

In this paper the microstructural features of the glass former Fe68Cr8Mo4Nb4B16 coatings are unveiled and related to their electrochemical and tribological responses. The coating was mostly glassy with some embedded borides (M3B2, M2B-tetragonal; M being the metallic elements of the alloy) and ferrite. The tribological behavior of the HVAF coated sample, characterized by a thickness of about 200 µm, ∼6% porosity and a Vickers hardness of 357 HV0.5, was assessed in a sphere-on-plate configuration, revealing a specific wear rate of approximately 5 ×10−4 mm3∙N−1m−1. The wear mechanism was dominated by delamination caused by fragile intersplats. The corrosion resistance of HVAF coatings was evaluated in 0.6 M NaCl solution and compared with the results obtained for the crystalline Fe68Cr8Mo4Nb4B16 ingot, produced by melting in an induction furnace, and for the AISI 1020 steel substrate. The HVAF coating showed satisfactory corrosion resistance compared to the carbon steel substrate and the crystalline ingot, with the highest corrosion potential, Ecorr, values (−533 mVSCE) and the lowest corrosion current density, icorr, (10−6 A∙cm−2) followed by a clear passivation window upon anodic polarization in 0.6 M NaCl solution. Evaluations of HVAF coating showed a higher glassy content compared to the gas-atomized feedstock powders. This suggests that during spraying, certain particles were molten and experienced cooling rates adequate to inhibit crystallization, resulting in the freezing of the supercooled liquid. This phenomenon contributes to the good corrosion resistance observed in the present work and offers an opportunity to enhance the electrochemical behavior of HVAF coatings.

Transmission and nanohardness studies of ternary GaAs1-xPx layers grown from the vapor phase by heteroepitaxy

Transmission measurements in the 0.5–25-μm spectral range are performed on thin (<350-μm) GaAsP layers grown by Hydride Vapor Phase Epitaxy (HVPE) on plain (100) GaAs substrates. Comparison with calculations taking into account multiple reflections reveals the role of the surface polishing quality on the clear transmission window and the wavelength dependent losses. A measurement of a 5-mm thick epitaxially grown GaP underlines more realistic spectral limitations on the application of orientation-patterned structures based on GaP and GaAsP for nonlinear optical frequency conversion. The mid-IR cut-off wavelength for the ternary GaAsP layers is almost independent of the composition and corresponds to the same two-phonon absorption limit observed in the binary GaP. Nanohardness and Young's modulus are measured for the same samples to evaluate their compositional dependence. The nanohardness dependence on the P-content obeys a second order polynomial law with a maximum around P = 0.8. Young's modulus depends linearly on the P-content, similar to the trend observed in other ternary systems, such as InxGa1−xAs and InxGa1-xP. The evolution of the band-gap, estimated from the transmission measurements, with the composition of the ternary compounds is linear in the range of 0–0.5 for the P content. In this same range the nanohardness can be considered to be linearly proportional to the band-gap.

Euclid: The search for primordial features

Primordial features, in particular oscillatory signals, imprinted in the primordial power spectrum of density perturbations represent a clear window of opportunity for detecting new physics at high-energy scales. Future spectroscopic and photometric measurements from the Euclid space mission will provide unique constraints on the primordial power spectrum, thanks to the redshift coverage and high-accuracy measurement of nonlinear scales, thus allowing us to investigate deviations from the standard power-law primordial power spectrum. We consider two models with primordial undamped oscillations superimposed on the matter power spectrum described by 1 + 𝒜X sin (ωXΞX + 2 πϕX), one linearly spaced in k space with Ξlin ≡ k/k* where k* = 0.05 Mpc−1 and the other logarithmically spaced in k space with Ξlog ≡ ln(k/k*). We note that 𝒜X is the amplitude of the primordial feature, ωX is the dimensionless frequency, and ϕX is the normalised phase, where X = {lin, log}. We provide forecasts from spectroscopic and photometric primary Euclid probes on the standard cosmological parameters Ωm, 0, Ωb, 0, h, ns, and σ8, and the primordial feature parameters 𝒜X, ωX, and ϕX. We focus on the uncertainties of the primordial feature amplitude 𝒜X and on the capability of Euclid to detect primordial features at a given frequency. We also study a nonlinear density reconstruction method in order to retrieve the oscillatory signals in the primordial power spectrum, which are damped on small scales in the late-time Universe due to cosmic structure formation. Finally, we also include the expected measurements from Euclid’s galaxy-clustering bispectrum and from observations of the cosmic microwave background (CMB). We forecast uncertainties in estimated values of the cosmological parameters with a Fisher matrix method applied to spectroscopic galaxy clustering (GCsp), weak lensing (WL), photometric galaxy clustering (GCph), the cross correlation (XC) between GCph and WL, the spectroscopic galaxy clustering bispectrum, the CMB temperature and E-mode polarisation, the temperature-polarisation cross correlation, and CMB weak lensing. We consider two sets of specifications for the Euclid probes (pessimistic and optimistic) and three different CMB experiment configurations, that is, Planck, Simons Observatory (SO), and CMB Stage-4 (CMB-S4). We find the following percentage relative errors in the feature amplitude with Euclid primary probes: for the linear (logarithmic) feature model, with a fiducial value of 𝒜X = 0.01, ωX = 10, and ϕX = 0: 21% (22%) in the pessimistic settings and 18% (18%) in the optimistic settings at a 68.3% confidence level (CL) using GCsp+WL+GCph+XC. While the uncertainties on the feature amplitude are strongly dependent on the frequency value when single Euclid probes are considered, we find robust constraints on 𝒜X from the combination of spectroscopic and photometric measurements over the frequency range of (1, 102.1). Due to the inclusion of numerical reconstruction, the GCsp bispectrum, SO-like CMB reduces the uncertainty on the primordial feature amplitude by 32%–48%, 50%–65%, and 15%–50%, respectively. Combining all the sources of information explored expected from Euclid in combination with the future SO-like CMB experiment, we forecast 𝒜lin ≃ 0.010 ± 0.001 at a 68.3% CL and 𝒜log ≃ 0.010 ± 0.001 for GCsp(PS rec + BS)+WL+GCph+XC+SO-like for both the optimistic and pessimistic settings over the frequency range (1, 102.1).

Role of echocardiography in the diagnosis and clinical management of infective endocarditis.

Infective endocarditis (IE) is a deadly disease, constituting both diagnostic and treatment challenges. A positive outcome requires rapid and accurate diagnosis, and for that, echocardiography unequivocally remains the cornerstone. Transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE) have complementary roles and have been markedly improved during the last decades. The transthoracic modality is the recommended first-line approach but may only be sufficient in patients where the probability of IE is low and/or with clear acoustic windows, especially in patients with right-sided IE. The transesophageal modality is superior to TTE in most aspects and is recommended for all other patients. Both TTE and TEE may delineate vegetation location and size, assess for paravalvular extension of infection, and have the added advantage of defining the hemodynamic effects of valvular or device infection. However, echocardiography still has significant limitations, and novel imaging techniques are increasingly being exploited to improve diagnostic potential. Cardiac computed tomography (CT) performs better than TEE in the detection of abscess or pseudoaneurysm, while magnetic resonance imaging (MRI) has limited value in the diagnostic phase of IE but adds knowledge to the evaluation of extracardiac events. Nuclear molecular techniques are evolving as key supplementary methods in difficult-to-diagnose cases. Although newer imaging modalities are undergoing preliminary evaluation and multimodal imaging will play an increasing role in IE, echocardiography will continue to be pivotal in patients with IE for the foreseeable future.

Sn–3Ag–0.5Cu/TiO2/Ti wire-tube structure with memristive response by ultrasonic soldering

High-performance memristors have become the next generation of memory devices with potential application to ultra-high-speed, large-capacity, high-density computing requirements. However, devices with low operating voltage, high switching ratio, and long cycle life have not yet been achieved. A novel Sn–3Ag–0.5Cu/TiO2/Ti wire-tube memristor was fabricated using ultrasonic soldering. Ultrasound application changes the wetting conditions of the filler by using the instantaneous high temperature and pressure generated by ultrasonic cavitation, which induces Sn–3Ag–0.5Cu filler metal into anodized TiO2 nanotubes to prepare a wire-tube structure. The Sn–3Ag–0.5Cu/TiO2/Ti device showed bipolar hysteresis with a clear storage window. The maximum switching ratio was 33, which is slightly lower than the value of 36 for a Ag/TiO2/Ti device made using a conventional anodizing method. Seventeen cycles were achieved, which is 143% higher that of the Ag/TiO2/Ti device. The operating voltage of the Cu–3Ag–0.5Cu/TiO2/Ti device was significantly lower than that of the Ag/TiO2/Ti device. The structure and electrochemical performance of the device was evaluated by Raman spectrometry (LAMAN), X-ray photoelectron spectroscopy (XPS) and Electrochemical impendence spectroscopy (EIS) analysis. Formation of the conductive channels of the TiO2 wire-tube structure memristor was studied using transmission electron microscopy and high-resolution transmission electron microscopy, and a model of the mechanism of formation of the conductive filaments was established.

Characterization of black turmeric genotypes based on DUS descriptor (Curcuma caesiaRoxb.)

In accordance with the DUS multiscale scoring standards, a study was conducted at Farmer’s Field in Vadapalani village of Erode district, Tamil Nadu to characterize twenty black turmeric genotypes for sixteen characters. Three of the examined characteristics viz., Leaf color (ventral side), Leaf margin, and Number of mother rhizome were found monomorphic. Seven characteristics were dimorphic and six were polymorphic. Tall plants with lengthy petioles, lamina lengths, and broad leaves were regarded as a plant morphological trait for choosing the best genotype (BTG 6, BTG 11, BTG 12, BTG 15, BTG 16, BTG 17, BTG 19) that are adaptable to local conditions. Black turmeric rhizome variations in inner core color have drawn attention. The inner core of the rhizome’s greenish-blue color can be used to identify the genotype BTG3. Earliness can be a sign for genotypes BTG6, BTG11, BTG15, and BTG19 because they were shown to have short-duration types with less than 210 days. The differences seen with DUS characters provide a clear window for selection based on desired morphological characteristics that may be used for selecting individuals based on particular traits.

Quantifying the benefits of BIPV windows in urban environment under climate change: A comparison of three Chinese cities

Building-integrated photovoltaic (BIPV) windows are an effective way to increase distributed PV capacity in the urban environment. However, the effects of BIPV windows on an annual scale have not been rigorously studied. In this study, we compared their performances with different window-to-wall ratios, canyon aspect ratios, and orientations in three Chinese cities. Our results show that in Beijing, BIPV windows with the southward orientation have the highest potential for power generation of 44.7 kWh/(m2·yr), which is 1.5 times the potential in Shenzhen and Nanjing. Compared to clear windows, BIPV windows are advantageous when the window coverage is greater than 50 % in a shallow canyon. The highest electricity saving ratios are found in Beijing (29.7 %), followed by Shenzhen (26.3 %) and Nanjing (23.3 %). However, the electricity saving ratio decreases by over 10 % in deep canyons. Under future climate forcing, the saving potential of BIPV windows increases slightly in Nanjing and remain stable in Shenzhen and Beijing. The study also found that BIPV windows could increase canyon air temperatures by over 0.2 °C during winter days but slightly cool the canyon in summer. The findings guide BIPV application in the built environment and cast light on the construction of low-carbon neighbourhoods.

Low-cost gel-polymer electrolytes for smart windows: Effects on yearly energy consumption and visual comfort

The experimental analysis of the main figures of merit of an innovative electrochromic (EC) prototype, based on low cost gel-polymer electrolytes, is at the basis of the numerical simulation exposed hereafter, aiming at the assessment of energy and visual comfort benefits deriving from building integration of smart windows in a multi-storey office building. The effectiveness of the dynamic modulation of glazing properties to improve energy efficiency and users’ comfort was tested comparing the EC windows with a typical law-compliant static commercial glazing system and with a clear windows. To better understand the performances of the proposed EC film, six different locations – ranging from Seville to Helsinki – were selected throughout the European continent to conduct energy and daylighting analyses on three different exposures (east, south, west). The results obtained show reductions of summer cooling and winter heating as well in all the locations considered. Eventually, the effect of electrochromic switching of transmittance on the indoor visual comfort, is considered using a well-established metric: Useful Daylight Illuminance; with regards to daylight analyses, a significant reduction of hours in which excessive illuminance occurs was observed in all the locations considered, confirming that properly controlled EC devices improve both energy efficiency and visual comfort.

A cross-climate assessment of the visual and energy performance of flexible photochromic films for in-situ window retrofits

Driven by their low thermal resistance and static transmittance to solar radiation, existing static clear windows are often considered the least-efficient components in the building envelope, driving the heating and cooling demands and compromising the thermal and visual comfort of building occupants. Hence, window retrofit technologies that utilize innovative coatings are critical for enhancing energy efficiency and indoor daylight quality in the existing building stock. In particular, dynamic photochromic window films that reversibly modulate solar gains responding to the abundance of ultraviolet radiation are promising but received little attention. In this paper, five commercial flexible photochromic window films were experimentally characterized, and their energy and daylighting performance were numerically and parametrically evaluated in a representative office with different window configurations and orientations across six representative cities with a diverse range of climates. This is one of the first works dealing with photochromic window films as a retrofit technology. The results show that the films exhibit excellent colour-rendering and cyclic stability with rapid switching/bleaching rates. In addition, annual energy savings in the 1% − 4% range were observed for low window-wall ratios, reaching 10% − 14% in cooling-dominated climates with lower latitudes using PC-1, which resulted in the most significant cooling energy savings. Although the film influenced the quantity of light, resulting in lower daylight autonomy, improvements in the useful daylight illuminance and significant reductions in discomfort glare levels were the major benefits of retrofitting existing double-glazed clear windows with the photochromic film.

Machine Learning Provides a Clearer Window into Ocean Motion

A new method could translate satellite information about sea surface heights into insights on current, heat flow, and—ultimately—climate change.

Ideal thermochromic smart window in a south-facing office room of China considering daylighting and energy performance

ABSTRACT Thermochromic (TC) smart window which allows modulating the transmission of solar heat energy and sunlight in response to environmental conditions has great potential for improving the building energy and daylighting performance simultaneously. In this study, the multi-objective optimization method is used to determine the ideal optical properties of TC windows. Parametric assessment is firstly conducted to investigate the influence of several crucial parameters. Multi-objective optimization is then carried out by applying Non-dominated Sort Genetic Algorithm-III, maximizing daylight availability and building energy efficiency. Finally, the decision-making of the Pareto frontier is performed to achieve the ideal TC windows in 32 representative cities in different climatic zones of China. Results demonstrate that increasing the luminous transmittance at low-temperature and decreasing luminous transmittance modulation ability are beneficial to daylighting and energy performance. Lower solar transmittance at low-temperature contributes to building energy savings in Beijing, Shanghai, Guangzhou and Kunming, except for Harbin. Higher solar transmittance modulation ability is desired for building energy efficiency. The optimum value for the transition temperature is in the range of 23.67–38.85°C. The building energy consumption can be reduced by 13.01%, and the desired daylighting hours can be improved by 8.90%, relative to the clear double-glazed windows.

Near-infrared blocking window based on ATO-CWO/PVB nano-lamination

With the green developments of buildings, the next-generation windows are supposed to have excellent energy-saving behaviors, including thermal insulation and solar control. In this study, a novel ATO-CWO/PVB nano-laminated glazing with excellent NIR blocking ability was designed and fabricated. Such glazing has a good luminous transmittance at 63.2% while can block 94.5% of the whole NIR with wavelength between 780 and 2500 nm, which is far better than its counterparts such as ATO-based glazing, CWO-based glazing, metallic nanoparticle-based and metallic oxide nanoparticle-based glazing. In addition, the lamination design of ATO-CWO/PVB nanocomposite ensured its isolation from the air and can thus maintain long-term durability. Traditional CWO products would lose the NIR shielding ability within 3 months under the natural solar radiation, while the ATO-CWO/PVB nano-laminated glazing was demonstrated to maintain fairly stable optical properties in 5 months. Based on the nano-laminated glazing proposed in this study, a double-layered energy-efficient window was fabricated further, and outdoor experimental test was carried out to investigate its light/heat regulation performance, in comparison to the existing windows, including normal laminated glazing window and normal window. Results demonstrated that the newly developed energy-efficient window can achieve an indoor temperature decrease of 7.82 °C/6.64 °C, compared with double-layered clear window and double-layered normal laminated window, whereas it decreases the luminous level by about 37%/41% respectively. In order to further verify its energy-saving performance in hot regions, energy consumption simulation was conducted in Energy Plus software. Results showed the double-layered energy-efficient window can reduce the annual electricity consumption by 14%–18% in Hong Kong, compared with other tested windows.

Passive Window Energy Performance in Buildings: Modeling of Apartment Buildings in Indonesia

Along with urban growth in urban areas and energy consumption, which continues to increase every year, the selection of windows in the initial design is essential to obtain buildings that are not energy intensive. Selecting the correct window in the blueprint design reduces building energy consumption. Smart windows, especially thermochromic windows, are one of the most promising window technologies because they are the most economical and have passive control with zero energy input, which holds good promise for energy-saving applications. Apart from that, double-glazing windows are also frequently used in energy-saving applications. Therefore, a study compared the energy-saving potential of thermochromic and double-glazing windows to clear glass windows, using computer modeling through EnergyPlus, in high-rise apartment buildings in cities throughout Indonesia's diverse climates. From the modeling results, total energy consumption can be reduced by around 8.91% to 10.96% of total building energy consumption by replacing the conventional clear glass with double-glazing windows or more able to reduce about 20.22% to 24.19% by replacing the conventional clear glass with thermochromic windows. Furthermore, this potential varies depending on geometric shapes, materials, building facades, local climate, and building orientation. Nevertheless, considering the potential benefits, these windows are highly suitable for application in buildings seeking to reduce their energy consumption and improve energy efficiency.