Validation of wind-driven rain module for HAM-tools

10.32920/ryerson.14655300 ◽

2021 ◽

Author(s):

Sam Siassi

Keyword(s):

High Resolution ◽

Meteorological Data ◽

Field Measurements ◽

Simulation Software ◽

High Resolution Data ◽

Wood Frame ◽

Verification Process ◽

Hygrothermal Analysis ◽

Semi Empirical ◽

Averaging Techniques

This study is a continuation of previous research carried out to improve the hygrothermal analysis capabilities of the readily available HAM-Tools building simulation software. Previous study intended to improve the program by adding a wind driven rain (WDR) module using the semi-empirical model from ASHRAE 160P. However, further verification of the model was needed. In this study, the WDR module’s verification process was corrected and compared to WUFI simulation. The module was then validated by comparing its results with field measurements. The results indicated that the newly designed HAM-Tools WDR module have good agreement with field measurements. HAM-Tools with added WDR module is then used to study the hygrothermal responses of wood-frame wall with WDR amount calculated using different averaging techniques of high resolution meteorological data. It was concluded that in climates with high rainfall, it is best to use high resolution data (at least 10 minutes) for hygrothermal simulations.

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The effects of microclimate and time resolution of meteorological data on hygrothermal analysis of wood frame building facades

10.32920/ryerson.14649723 ◽

2021 ◽

Author(s):

Wai Ki Wu

Keyword(s):

Meteorological Data ◽

Weather Data ◽

Climate Data ◽

Frame Building ◽

Hourly Data ◽

Average Water ◽

Building Components ◽

Wood Frame ◽

Hygrothermal Analysis ◽

The Impact

When performing hygrothermal analysis for building envelopes, climate data is required as boundary conditions. This study investigates the effect of the microclimatic conditions using Toronto Pearson Airport and downtown hourly data. The results showed that the average water content of the wood frame building façade were similar throughout the study period. The high moisture content peaks reduced to average within days. The arithmetic averaged hourly weather data may also affect the analysis’ results. 5-minute weather data is collected from the Ryerson weather network. The hourly data is constructed from the 5-minute data by arithmetic averaging. The simulation results from both dataset followed closely to each other throughout the study period. The averaging of hourly data removed some details form the raw meteorological data. However, it does not affect the overall trend of the climate condition and the impact to the hygrothermal analysis of building components is very limited.

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The effects of microclimate and time resolution of meteorological data on hygrothermal analysis of wood frame building facades

10.32920/ryerson.14649723.v1 ◽

2021 ◽

Author(s):

Wai Ki Wu

Keyword(s):

Meteorological Data ◽

Weather Data ◽

Climate Data ◽

Frame Building ◽

Hourly Data ◽

Average Water ◽

Building Components ◽

Wood Frame ◽

Hygrothermal Analysis ◽

The Impact

When performing hygrothermal analysis for building envelopes, climate data is required as boundary conditions. This study investigates the effect of the microclimatic conditions using Toronto Pearson Airport and downtown hourly data. The results showed that the average water content of the wood frame building façade were similar throughout the study period. The high moisture content peaks reduced to average within days. The arithmetic averaged hourly weather data may also affect the analysis’ results. 5-minute weather data is collected from the Ryerson weather network. The hourly data is constructed from the 5-minute data by arithmetic averaging. The simulation results from both dataset followed closely to each other throughout the study period. The averaging of hourly data removed some details form the raw meteorological data. However, it does not affect the overall trend of the climate condition and the impact to the hygrothermal analysis of building components is very limited.

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EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe

10.5194/essd-2021-339 ◽

2021 ◽

Author(s):

Vera Thiemig ◽

Goncalo N. Gomes ◽

Jon O. Skøien ◽

Markus Ziese ◽

Armin Rauthe-Schöch ◽

...

Keyword(s):

High Resolution ◽

Real Time ◽

Meteorological Data ◽

Heavy Precipitation ◽

Water Vapour Pressure ◽

Data Set ◽

High Resolution Data ◽

Weather Stations ◽

Resolution Data ◽

Precipitation Events

Abstract. In this paper we present EMO-51, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations obtained by integrating data from 18,964 ground weather stations, four high-resolution regional observational grids (i.e. CombiPrecip, ZAMG - INCA, EURO4M-APGD and CarpatClim) as well as one global reanalysis (ERA-Interim/Land). EMO-5 includes at daily resolution: total precipitation, temperatures (mean, minimum and maximum), wind speed, solar radiation and water vapour pressure. In addition, EMO-5 also makes available 6-hourly precipitation and mean temperature. The raw observations from the ground weather stations underwent a set of quality controls, before SPHEREMAP and Yamamoto interpolation methods were applied in order to estimate for each 5 x 5 km grid cell the variable value and its affiliated uncertainty, respectively. The quality of the EMO-5 precipitation data was evaluated through (1) comparison with two regional high resolution data sets (i.e. seNorge2 and seNorge2018), (2) analysis of 15 heavy precipitation events, and (3) examination of the interpolation uncertainty. Results show that EMO-5 successfully captured 80 % of the heavy precipitation events, and that it is of comparable quality to a regional high resolution data set. The availability of the uncertainty fields increases the transparency of the data set and hence the possible usage. EMO-5 (release 1) covers the time period from 1990 to 2019, with a near real-time release of the latest gridded observations foreseen soon. As a product of Copernicus, the EU's Earth observation programme, EMO-5 dataset is free and open, and can be accessed at https://doi.org/10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 (Thiemig et al., 2021).1 EMO stands for “European Meteorological Observations”, whereas the 5 denotes the spatial resolution of 5 km.

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NEW VIEWS ON AN OLD LANDSCAPE: EMPLOYING AN UNMANNED AIRCRAFT SYSTEM (UAS) FOR RAPID HIGH RESOLUTION DATA ACQUISITION TO AID GEOMORPHOLOGICAL RESEARCH

10.1130/abs/2017am-305704 ◽

2017 ◽

Author(s):

Phillip P. Allen ◽

◽

Matthew E. Ramspott

Keyword(s):

High Resolution ◽

Data Acquisition ◽

Unmanned Aircraft ◽

Unmanned Aircraft System ◽

High Resolution Data ◽

Aircraft System ◽

Resolution Data

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Improving satellite-based estimation of surface ozone across China during 2008–2019 using iterative random forest model and high-resolution grid meteorological data

Sustainable Cities and Society ◽

10.1016/j.scs.2021.102807 ◽

2021 ◽

pp. 102807

Author(s):

Gongbo Chen ◽

Jiang Chen ◽

Guang-hui Dong ◽

Bo-yi Yang ◽

Yisi Liu ◽

...

Keyword(s):

High Resolution ◽

Random Forest ◽

Meteorological Data ◽

Surface Ozone ◽

Random Forest Model ◽

Forest Model

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Conceptual and Mathematical Modeling of a Coastal Aquifer in Eastern Delta of R. Nestos (N. Greece)

Hydrology ◽

10.3390/hydrology8010023 ◽

2021 ◽

Vol 8 (1) ◽

pp. 23

Author(s):

Ioannis Gkiougkis ◽

Christos Pouliaris ◽

Fotios-Konstantinos Pliakas ◽

Ioannis Diamantis ◽

Andreas Kallioras

Keyword(s):

Mathematical Modeling ◽

Groundwater Flow ◽

Coastal Aquifer ◽

Flow Model ◽

Meteorological Data ◽

Field Measurements ◽

Groundwater Flow Model ◽

Aquifer System ◽

Geophysical Surveys ◽

The Mathematical Model

In this paper, the development of the conceptual and groundwater flow model for the coastal aquifer system of the alluvial plain of River Nestos (N. Greece), that suffers from seawater intrusion due to over-pumping for irrigation, is analyzed. The study area is a typical semi-arid hydrogeologic environment, composed of a multi-layer granular aquifers that covers the eastern coastal delta system of R. Nestos. This study demonstrates the results of a series of field measurements (such as geophysical surveys, hydrochemical and isotopical measurements, hydro-meteorological data, land use, irrigation schemes) that were conducted during the period 2009 to 2014. The synthesis of the above resulted in the development of the conceptual model for this aquifer system, that formed the basis for the application of the mathematical model for simulating groundwater flow. The mathematical modeling was achieved using the finite difference method after the application of the USGS code MODFLOW-2005.

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High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach

Sensors ◽

10.3390/s21020464 ◽

2021 ◽

Vol 21 (2) ◽

pp. 464

Author(s):

Wei Ma ◽

Sean Qian

Keyword(s):

High Resolution ◽

Autonomous Vehicles ◽

Penetration Rate ◽

Data Driven ◽

Traffic Information ◽

Flow Density ◽

Massive Data ◽

Market Penetration ◽

High Resolution Data ◽

Data Driven Approach

Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the sensing capabilities of AVs have been dramatically improved. Various sensors installed on AVs will be collecting massive data and perceiving the surrounding traffic continuously. In fact, a fleet of AVs can serve as floating (or probe) sensors, which can be utilized to infer traffic information while cruising around the roadway networks. Unlike conventional traffic sensing methods relying on fixed location sensors or moving sensors that acquire only the information of their carrying vehicle, this paper leverages data from AVs carrying sensors for not only the information of the AVs, but also the characteristics of the surrounding traffic. A high-resolution data-driven traffic sensing framework is proposed, which estimates the fundamental traffic state characteristics, namely, flow, density and speed in high spatio-temporal resolutions and of each lane on a general road, and it is developed under different levels of AV perception capabilities and for any AV market penetration rate. Experimental results show that the proposed method achieves high accuracy even with a low AV market penetration rate. This study would help policymakers and private sectors (e.g., Waymo) to understand the values of massive data collected by AVs in traffic operation and management.

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Techno-economic feasibility analysis of a 3-kW PV system installation in Nepal

Renewables Wind Water and Solar ◽

10.1186/s40807-021-00068-9 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Ramhari Poudyal ◽

Pavel Loskot ◽

Ranjan Parajuli

Keyword(s):

Net Present Value ◽

Meteorological Data ◽

Electric Energy ◽

Simulation Software ◽

Economic Feasibility ◽

Performance Ratio ◽

Energy Output ◽

Solar Pv ◽

Economic Returns ◽

Pv System

AbstractThis study investigates the techno-economic feasibility of installing a 3-kilowatt-peak (kWp) photovoltaic (PV) system in Kathmandu, Nepal. The study also analyses the importance of scaling up the share of solar energy to contribute to the country's overall energy generation mix. The technical viability of the designed PV system is assessed using PVsyst and Meteonorm simulation software. The performance indicators adopted in our study are the electric energy output, performance ratio, and the economic returns including the levelised cost and the net present value of energy production. The key parameters used in simulations are site-specific meteorological data, solar irradiance, PV capacity factor, and the price of electricity. The achieved PV system efficiency and the performance ratio are 17% and 84%, respectively. The demand–supply gap has been estimated assuming the load profile of a typical household in Kathmandu under the enhanced use of electric appliances. Our results show that the 3-kWp PV system can generate 100% of electricity consumed by a typical residential household in Kathmandu. The calculated levelised cost of energy for the PV system considered is 0.06 $/kWh, and the corresponding rate of investment is 87%. The payback period is estimated to be 8.6 years. The installation of the designed solar PV system could save 10.33 tons of CO2 emission over its lifetime. Overall, the PV systems with 3 kWp capacity appear to be a viable solution to secure a sufficient amount of electricity for most households in Kathmandu city.

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