Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands

Geographic information system (GIS) based tools have become popular for solar photovoltaic (PV) potential estimations, especially in urban areas. There are readily available tools for the mapping and estimation of solar irradiation that give results with the click of a button. Although these tools capture the complexities of the urban environment, they often miss the more important atmospheric parameters that determine the irradiation and potential estimations. Therefore, validation of these models is necessary for accurate potential energy yield and capacity estimations. This paper demonstrates the calibration and validation of the solar radiation model developed by Fu and Rich, employed within ArcGIS, with a focus on the input atmospheric parameters, diffusivity and transmissivity for the Netherlands. In addition, factors affecting the model’s performance with respect to the resolution of the input data were studied. Data were calibrated using ground measurements from Royal Netherlands Meteorological Institute (KNMI) stations in the Netherlands and validated with the station data from Cabauw. The results show that the default model values of diffusivity and transmissivity lead to substantial underestimation or overestimation of solar insolation. In addition, this paper also shows that calibration can be performed at different time scales depending on the purpose and spatial resolution of the input data.

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Balancing daylight and overheating in low-energy design using CIBSE improved weather files

Building Services Engineering Research and Technology ◽

10.1177/0143624419889057 ◽

2019 ◽

Vol 41 (2) ◽

pp. 210-224 ◽

Cited By ~ 1

Author(s):

Eleonora Brembilla ◽

Christina J Hopfe ◽

John Mardaljevic ◽

Anastasia Mylona ◽

Eirini Mantesi

Keyword(s):

Solar Radiation ◽

Building Design ◽

Low Energy ◽

Solar Irradiation ◽

Building Performance ◽

Radiation Model ◽

Performance Simulation ◽

Building Performance Simulation ◽

Irradiance Data ◽

Solar Radiation Model

A new set of CIBSE weather files for building performance simulation was recently developed to address the need for better quality solar data. These are essential for most building performance simulation applications, particularly for daylighting studies and low-energy building design, which requires detailed irradiation data for passive solar design and overheating risk analysis. The reliability of weather data becomes paramount when building performance is pushed to its limits. Findings illustrate how principles of good window design can be applied to a case study building, built to the Passivhaus standard, and how its expected performance is affected by the quality of solar irradiation data. Analyses using test reference years were most affected by changes in the solar radiation model (up to 8.3% points), whereas for design summer years the maximum difference was 1.7% points. Adopting the new model caused overheating risk to be classified as more severe using test reference years than design summer years, prompting a discussion on the design summer year selection method. Irradiance data measured on-site were used as a benchmark to evaluate the new solar radiation model, which was found to significantly improve the accuracy of irradiance data within weather files and so the reliability of overheating assessments. Practical application: CIBSE weather files are widely used for compliance verification of building performance in the UK context. This paper tests how the introduction of a new solar radiation model in weather files will affect daylighting and overheating simulation results. Examples are given on how low-energy building design considerations driven by advanced simulation techniques can help reaching indoor visual and thermal comfort requirements.

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Factors Affecting Financial Literacy of Vietnamese Adults: A Case Study for Hanoi and Nghe An

VNU Journal of Science Economics and Business ◽

10.25073/2588-1108/vnueab.4084 ◽

2017 ◽

Vol 33 (2) ◽

Author(s):

Tue Nguyen Dang

Keyword(s):

Higher Education ◽

Multiple Regression ◽

Financial Literacy ◽

Urban Areas ◽

Logistic Models ◽

Factors Affecting ◽

Financial Behaviors ◽

Financial Decisions ◽

Literacy Level

This research examines the factors affecting the financial literacy of Vietnamese adults. Using a sample of 266 observations of adults in 2 big cities in Vietnam (Hanoi and Vinh in Nghe An Province), the author evaluates the literacy level of adults in these urban areas. The financial literacy of the interviewed people is low. The multiple regression results show that lower financial literacy levels associate with higher age and married status and higher financial literacy levels associate with higher education, more family members, the person making financial decisions and the person attending a useful financial course. This research also explores the association between financial literacy and financial behaviors of individuals employing logistic models. It is found that higher financial literacy associates with less probability of overspending and higher probability of saving money and careful spending. Higher financial literacy is also found to associate with higher probability of opening a savings account and making various investments.

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Factors affecting road accidents in urban areas: a case study of Nakhon Si Thammarat municipality

Proceedings of the 9th Asia Pacific Conference on Transportation & the Environment ◽

10.31705/apte.2014.18 ◽

2014 ◽

Author(s):

Trakulsanti Yaifa ◽

◽

Chantruthai Piti ◽

Raya Orawan ◽

Taneerananon Pichai ◽

...

Keyword(s):

Urban Areas ◽

Road Accidents ◽

Factors Affecting

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Extraterrestrial Influences on Remote Sensing in the Earth’s Atmosphere

Remote Sensing ◽

10.3390/rs13050890 ◽

2021 ◽

Vol 13 (5) ◽

pp. 890

Author(s):

Aleksandra Nina ◽

Milan Radovanović ◽

Luka Č. Popović

Keyword(s):

Remote Sensing ◽

Solar System ◽

Solar Radiation ◽

Significant Influence ◽

Coming Out ◽

Outer Space ◽

Signal Propagation ◽

Atmospheric Parameters ◽

Atmospheric Disturbances ◽

Propagation Paths

Atmospheric properties have a significant influence on electromagnetic (EM) waves, including the propagation of EM signals used for remote sensing. For this reason, changes in the received amplitudes and phases of these signals can be used for the detection of the atmospheric disturbances and, consequently, for their investigation. Some of the most important sources of the temporal and space variations in the atmospheric parameters come from the outer space. Although the solar radiation dominates in these processes, radiation coming out of the solar system also can induces enough intensive disturbance in the atmosphere to provide deflections in the EM signal propagation paths. The aim of this issue is to present the latest research linking events and processes in outer space with changes in the propagation of the satellite and ground-based signals used in remote sensing.

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Method for Sizing of a PV System for Family Home Using Economic Indicators

Energies ◽

10.3390/en14154529 ◽

2021 ◽

Vol 14 (15) ◽

pp. 4529

Author(s):

Zvonimir Šimić ◽

Danijel Topić ◽

Ilija Crnogorac ◽

Goran Knežević

Keyword(s):

Input Data ◽

Net Present Value ◽

Market Price ◽

System Size ◽

Electricity Price ◽

Economic Indicators ◽

Solar Irradiation ◽

Pv System ◽

Output Data ◽

Levelized Cost Of Electricity

This paper presents a method for finding an optimal photovoltaic (PV) system according to Croatian legislation. The PV sizing model, in which a decision on investment is made according to economic indicators, is made using MATLAB Software. Based on the input data, the monthly PV system production is calculated, and electricity price formed. According to the PV system production and electricity price, economic indicators are calculated and obtained as output data. The model input data are solar irradiation, load diagram, PV system costs and market price of electricity while the model output data are PV system production, savings, profit, incomes, Net Present Value (NPV) and Levelized Cost of Electricity (LCOE). The obtained economic indicators are presented graphically and used for decision making on an optimal PV system size. The presented model is applied and presented in a case study.

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Demographic, Social, Economic, and Regional Factors Affecting the Diffusion of Hybrid Electric Vehicles in Japan

Energies ◽

10.3390/en14082130 ◽

2021 ◽

Vol 14 (8) ◽

pp. 2130

Author(s):

Ken’ichi Matsumoto ◽

Yui Nakamine ◽

Sunyong Eom ◽

Hideki Kato

Keyword(s):

Electric Vehicles ◽

Urban Areas ◽

Carbon Dioxide Emissions ◽

Regional Differences ◽

Fixed Effects ◽

Hybrid Electric Vehicles ◽

Alternative Fuel Vehicles ◽

Factors Affecting ◽

Hybrid Electric ◽

The Right

The transportation sector is a major contributor to carbon dioxide emissions, and the resulting climate change. The diffusion of alternative fuel vehicles, including hybrid electric vehicles (HEV), is an important solution for these issues. This study aimed to evaluate the factors affecting the ownership ratio of HEVs, particularly passenger vehicles, and the regional differences in the purchase of HEVs in Japan. This study performed a fixed-effects regression analysis with panel data for 47 prefectures during the period 2005–2015 to evaluate the factors affecting the HEV ownership ratio and conducted three cluster analyses to investigate the regional differences in diffusion in terms of price categories, body types, and drive systems of HEVs. Some demographic and social factors were found to affect the ownership ratio in Japan, whereas economic factors, including prefecture-level subsidies for purchasing HEVs, were not. Regarding regional differences, prefectures in urban areas with higher income levels tend to purchase more expensive and large-sized HEVs. These results suggest that a strategy to sell the right vehicle to the right person and region is essential for further promoting HEVs in Japan.

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Teleworking and Online Shopping: Socio-Economic Factors Affecting Their Impact on Transport Demand

Sustainability ◽

10.3390/su13137211 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7211

Author(s):

Juan Ramón López Soler ◽

Panayotis Christidis ◽

José Manuel Vassallo

Keyword(s):

Urban Areas ◽

Online Shopping ◽

New Technologies ◽

Age Groups ◽

Mobility Patterns ◽

Factors Affecting ◽

Ex Post ◽

Potential Impact ◽

Commuting Patterns ◽

Socio Economic Factors

Teleworking and online shopping became commonplace during the COVID-19 pandemic and can be expected to maintain a strong presence in the foreseeable future. They can lead to significant changes in mobility patterns and transport demand. It is still unclear, however, how extensive their adoption can be, since each individual has different preferences or constraints. The overall impact on transport depends on which segments of the population will modify their behaviour and on what the substitutes to the current patterns will be. The purpose of this work is to identify the user profiles and spatial aspects that affect the adoption of teleworking and online shopping, and to explore the potential impact on transport demand. To that end, data from an EU-wide survey on mobility were analysed using a Machine Learning methodology. The results suggest that while the take up of the new work and consumption patterns is high on average, there are significant differences among countries and across different socio-economic profiles. Teleworking appears to have a high potential mainly in certain services sectors, affecting commuting patterns predominantly in large urban areas. Online shopping activity is more uniform across the population, although differences among countries and age groups may still be relevant. The findings of this work can be useful for the analysis of policies to encourage the uptake of new technologies in transport and mobility. They can be also a good reference point for future studies on the ex-post analysis of the impacts of the pandemic on mobility.

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