scholarly journals Impact of Orientation on the Thermal Performances in Vernacular Buildings in Hot Arid Climate

2019 ◽  
Vol 9 (2) ◽  
pp. 4840-4847
Keyword(s):  
Thermal Comfort ◽  
Large Scale ◽  
Cooling System ◽  
Vernacular Architecture ◽  
Climatic Conditions ◽  
Point Of View ◽  
Occupant Comfort ◽  
Vernacular Buildings ◽  
Scale Integration ◽  
The Impact

Morocco faces enormous climatic constraints. A large part of the national territory has a hot and dry climate, hence the importance of the climate aspect in the choice of an energy saving strategy. The use of reinterpreted, decontextualized, totally or partially vernacular architectural techniques and/or forms is visible at different levels in the Maghreb countries. The large-scale integration of this aspect seems to be ignored by the designers. The objective of this research is to evaluate the impact of the building orientation and vernacular architecture towards the occupant comfort, in order to meet its energy and comfort needs at a lower cost on one hand, and on the other hand, to design more efficient collective buildings from a thermal and energy point of view. The proposed methodology allows examining the thermal performances of a traditional building under the climatic conditions of the city of Rissani in order to naturally control comfort summer and winter, in addition to ensure a good thermal comfort without using any heating or cooling system. Finally, the simulations carried out lead to the identification of the optimal orientation that demonstrates an effective reduction in indoor temperatures and a decrease in the large daily fluctuations in these temperatures. The research focuses on the influence of the orientation of a building's facades in relation to the solar radiation and on providing the necessary thermal comfort.

scholarly journals Influence of Masks Protecting against SARS-CoV-2 on Thermal Comfort

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3315
Author(s):  
Ewa Zender-Świercz ◽  
Marek Telejko ◽  
Beata Galiszewska
Keyword(s):  
Thermal Comfort ◽  
Public Spaces ◽  
Point Of View ◽  
The Other ◽  
Health Policies ◽  
Thermal Manikin ◽  
Public Health Policies ◽  
Protective Shield ◽  
Full Face ◽  
The Impact

Due to the spread of the SARS-CoV-2 virus, most countries have tightened their public health policies. One way to limit the spread of the virus is to make mouth and nose cover compulsory in public spaces. The article presents the impact of wearing masks on the perception of thermal comfort. The following masks were analysed: FFP2, cotton, medical, PM2.5, half-face protective shield plastic and full-face protective shield plastic. The research was carried out for two scenarios of an ambient temperature: −20 and 30 °C. A thermal manikin was used for the tests. In the case of when a temperature equals 20 °C, the dry masks increase comfort, both general and local, while wet masks reduce comfort. On the other hand, at 30 °C, only wet masks do not increase discomfort. In addition, moist masks require less heat flux to achieve a certain skin temperature. However, it should be remembered that it is not advisable to wet the masks from the health point of view.

scholarly journals Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4717 ◽  
Author(s):  
Sylvester Johansson ◽  
Jonas Persson ◽  
Stavros Lazarou ◽  
Andreas Theocharis
Keyword(s):  
Electric Vehicles ◽  
Power Distribution ◽  
Large Scale ◽  
Electrical Power ◽  
Distribution Network ◽  
Transport Sector ◽  
Smart Charging ◽  
Large Scale Integration ◽  
Scale Integration ◽  
The Impact

Social considerations for a sustainable future lead to market demands for electromobility. Hence, electrical power distribution operators are concerned about the real ongoing problem of the electrification of the transport sector. In this regard, the paper aims to investigate the large-scale integration of electric vehicles in a Swedish distribution network. To this end, the integration pattern is taken into consideration as appears in the literature for other countries and applies to the Swedish culture. Moreover, different charging power levels including smart charging techniques are examined for several percentages of electric vehicles penetration. Industrial simulation tools proven for their accuracy are used for the study. The results indicate that the grid can manage about 50% electric vehicles penetration at its current capacity. This percentage decreases when higher charging power levels apply, while the transformers appear overloaded in many cases. The investigation of alternatives to increase the grid’s capabilities reveal that smart techniques are comparable to the conventional re-dimension of the grid. At present, the increased integration of electric vehicles is manageable by implementing a combination of smart gird and upgrade investments in comparison to technically expensive alternatives based on grid digitalization and algorithms that need to be further confirmed for their reliability for power sharing and energy management.

scholarly journals WORLD EXPERIENCE: COMMERCIAL BANK CREDIT AND ECONOMIC GROWTH RELATIONSHIP

2020 ◽  
pp. 6-19
Author(s):  
Davit Aslanishvili
Keyword(s):  
Economic Growth ◽  
Large Scale ◽  
Banking Sector ◽  
Point Of View ◽  
Bank Credit ◽  
Main Function ◽  
Economic Point ◽  
Market Factors ◽  
Credit Portfolio ◽  
The Impact

This research focuses on the problem of large scale disproportion of success in the development of the banking sector and mostly unsuccessful development of the real sector of the economy. It should be noted that this disproportion is a subject of consideration in contemporary economic literature and our research is an attempt to broaden the issue and share ideas inside the international scientific circles. The main problem in the research is the impact of the banking sector's credit portfolio and the functioning of credit markets on the economic growth of the country. In this regard, it is very important to identify, study the macroeconomic stabilization and accelerated economic growth of the country and analyse the impact mechanisms of the credit market factors on economic growth. The conclusion that combines many of the research and opinions given in the survey can be as follows: From the economic point of view, the main function of banks is to increase the financing/lending of funds as the core point to increase investments in the economy. Thus, the development of the country in economic terms depends on the increase of investments. At present, it is in the hands of the banking sector whether to lead us to economic immobility or to accelerate the country's economic development through efficient allocation of resources.

ENHANCING THE RESILIENCE OF NETWORKED AGENTS THROUGH RISK SHARING

2013 ◽  
Vol 16 (04n05) ◽  
pp. 1350006 ◽  
Author(s):  
AKIRA NAMATAME ◽  
HOANG ANG Q. TRAN
Keyword(s):  
Risk Sharing ◽  
Large Scale ◽  
Point Of View ◽  
Dark Side ◽  
Economic Systems ◽  
External Shocks ◽  
Dangerous Place ◽  
Design Systems ◽  
System Resilience ◽  
The Impact

Since social-economic systems increase interdependency, a crucial question arises: Is an interconnected world a safer or a more dangerous place to live? Over the last few years, we have witnessed the dark side of increasing interdependencies. As such, there is a growing need to focus on how to mitigate networked risk and to enhance the system resilience to the impact of a large-scale shock. The traditional engineering approach has been to design systems that are less vulnerable to damage from hazard events. On the other hand, system resilience is the ability to recover from failure and provide the continuity of system function. The goal of the present paper is to investigate the gain from risk sharing. We propose a mechanism of risk sharing that may enhance the resilience of the networked systems. The proposed risk sharing protocols are based on coordinated incentives of agents to survive collectively by absorbing external shocks. The key issue we would like to analyze is how the gain from risk sharing depends on the capacity of each agent to absorb shock and on the interconnections patterns among agents with risk sharing rules. We demonstrate that risk sharing is beneficial from a systems point of view when the agents' capacities to shocks is high and detrimental when it is low. In particular, we evaluate the effectiveness of risk sharing in two domains. In the first domain, in which networked agents have the possibility of cascading failure, risk sharing is useful in mitigating systemic failure, especially if the agents are running at high load. In the second domain, we evaluate the ratio of safe agents who invest in risky portfolios or projects collectively. In this case, risk sharing is only beneficial if the agents' risk absorbing capacity is high.

Impact of Storage Integrated Solar Photovoltaics (PV) Power System on Utility Peak Loads

2011 ◽  
Author(s):  
K. Agyenim-Boateng ◽  
R. F. Boehm
Keyword(s):  
Large Scale ◽  
Peak Load ◽  
Average Energy ◽  
Transient Behavior ◽  
Climatic Conditions ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Pv System ◽  
Grid Load ◽  
The Impact

The promise of large-scale use of renewables such as wind and solar for supplying electrical power is tempered by the sources’ transient behavior and the impact this would have on the operation of the grid. One way of addressing this is through the use of supplemental energy storage. While the technology for the latter has not been proven on a large scale or to be economical at the present time, some assessments of what magnitude is required can be made. In performing this work we have used NREL’s Solar Advisor Model (SAM 2010) with TMY3 solar data to estimate the photovoltaic system power generation. Climatic conditions close to load centers were chosen for the simulations. Then the PV output for varying sizes of arrays were examined and the impact of varying amounts of storage investigated. The storage was characterized by maximum limiting energy and power capacities based on annual hourly peak load, as well as its charging and discharging efficiencies. The simulations were performed using hourly time steps with energy withdrawn from, or input to, storage only after considering base generation and the PV system output in serving the grid load. In this work, we examined the load matching capability of solar PV generation (orientated for maximum summer output) for a sample Southwestern US utility grid load of 2008. Specifically we evaluated the daily and seasonal peak load shifting with employing varying storage capacities. The annual average energy penetration based on the usable solar PV output is also examined under these conditions and at different levels of system flexibility.

Optimal Vacuum Calculation and Analysis of Composite-Cycle Air-Cooling System

2013 ◽  
Vol 718-720 ◽  
pp. 1687-1690 ◽  
Author(s):  
Sheng Long Wang ◽  
Wen Hao Li ◽  
Yin Hai Ge
Keyword(s):  
Cooling System ◽  
Calculation Model ◽  
Climatic Conditions ◽  
System Structure ◽  
Air Cooling ◽  
Air Cooling System ◽  
Working Principle ◽  
Annual Earnings ◽  
Correct Understanding ◽  
The Impact

In this paper, the research object is composite-cycle air-cooling system. First,gave a brief introduction of the system structure and the working principle in power plant. Then the optimal vacuum calculation model was established with the analysis of performance indicators and the amount of equipment production, consumption power of system. Analyze the impact of the ambient temperature to system optimal vacuum in variable conditions. Lastly, combining the climatic conditions of example, which can be drawn is that when the annual best vacuum is 4.8kPa, the running annual earnings is the highest. This article provides guiding significance for correct understanding and engineering applications of composite-cycle air-cooling systems, also further confirm the feasibility of composite-cycle air-cooling system.

GUIDELINES FOR REUSING ONTOLOGIES ON THE SEMANTIC WEB

2010 ◽  
Vol 04 (02) ◽  
pp. 239-283 ◽  
Author(s):  
ELENA SIMPERL
Keyword(s):  
Semantic Web ◽  
Development Strategy ◽  
Large Scale ◽  
Point Of View ◽  
Ontology Development ◽  
The Poor ◽  
Ontology Reuse ◽  
The Impact ◽  
Do So

The ability to efficiently and effectively reuse ontologies is commonly acknowledged to play a crucial role in the large scale dissemination of ontologies and ontology-driven technology, being thus a pre-requisite for the ongoing realization of the Semantic Web. In this article, we give an account of ontology reuse from a process point of view. We present a methodology that can be utilized to systematize and monitor ontology engineering processes in scenarios reusing available ontological knowledge in the context of a particular application. Notably, and by contrast to existing approaches in this field, our aim is to provide means to overcome the poor reusability of existing resources — rather than to solve the more general issue of building new, more reusable knowledge components. To do so we investigate the impact of the application context of an ontology — in terms of tasks this ontology has been created for and will be utilized in — has on the feasibility of a reuse-oriented ontology development strategy and provide guidelines that take these aspects into account. The applicability of the methodology is demonstrated through a case study performed in collaboration with an international eRecruitment solution provider.

Forecasting sub-resolution temporal variability of irradiance

2020 ◽  
Author(s):  
Frank Kreuwel ◽  
Chiel van Heerwaarden
Keyword(s):  
Large Scale ◽  
Point Of View ◽  
Surface Radiation ◽  
Gradient Boosting ◽  
Distribution Grid ◽  
Electricity Grid ◽  
Pv Systems ◽  
Extreme Gradient Boosting ◽  
Scale Integration ◽  
Meso Scale

<p>Variability of solar irradiance is an important factor concerning large-scale integration of solar photovoltaics (PV) systems onto the electricity grid. Calculations of irradiance are computationally expensive, leaving operational meso-scale forecasting models struggling to achieve accurate results. Moreover, such models deliver outputs at a temporal resolution in the order of hours, whereas from a grid-integration point of view, minute-to-minute variability is a major concern. In previous work, we found that absolute power peaks in the order of seconds are up to 18% higher compared to 15-minute resolution for irradiance and even upwards of 22% higher for household PV systems. Moreover, these maximum peaks in output power are solely observed under mixed-cloud conditions, for which alse the greatest variability is found. In this work we present a machine-learning model which can forecast sub-resolution variability of irradiance, based on standard meso-scale outputs of the HARMONIE model of the The Royal Netherlands Meteorological Institute (KNMI). For training and validation, irradiance measurements obtained at a 1-second interval are used of the Baseline Surface Radiation Network (BSRN) site of Cabauw. A tree-based model was employed, for which the optimum members were constructed using extreme gradient boosting. In this work, we explore the dominant features of the model and link the machine-learned-relations to meteorological processes and dynamics. This research was executed in collaboration with the Distribution Grid Operator Alliander.</p>

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