scholarly journals Experimental Evaluation of the Packet Reception Performance of LoRa

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1071
Author(s):  
Qingjie Guo ◽  
Fengxu Yang ◽  
Jianming Wei
Keyword(s):  
Energy Consumption ◽  
Optimal Parameter ◽  
Signal To Noise Ratio ◽  
Physical Layer ◽  
Transmission Scheme ◽  
Communication Time ◽  
Parameter Configuration ◽  
Packet Length ◽  
The Impact ◽  
The Relationship

LoRa technology is currently one of the most popular Internet of Things (IoT) technologies. A substantial number of LoRa devices have been applied in a wide variety of real-world scenarios, and developers can adjust the packet reception performance of LoRa through physical layer parameter configuration to meet the requirements. However, since the important details of the relationship between the physical layer parameters and the packet reception performance of LoRa remain unknown, it is a challenge to choose the appropriate parameter configuration to meet the requirements of the scenarios. Moreover, with the increase in application scenarios, the requirements for energy consumption become increasingly high. Therefore, it is also a challenge to know how to configure the parameters to maximize the energy efficiency while maintaining a high data rate. In this work, a complex evaluation experiment on the communication capability under a negative Signal to Noise Ratio is presented, and the specific details of the relationship between physical layer parameters and the packet reception performance of LoRa are clarified. Furthermore, we study the impact of the packet length on the packet reception performance of LoRa, and the experimental results show that when there is a large amount of data to be transmitted, it is better to choose long packets instead of short packets. Finally, considering the influence of physical layer parameters and the packet length on the packet reception performance of LoRa, the optimal parameter combination is explored, so as to propose a transmission scheme with a balanced reliability, delay, and energy consumption. This scheme is the first to consider the physical layer parameters and packet length together to study the communication transmission scheme, which reduces the communication time by 50% compared with the traditional transmission scheme and greatly reduces the energy consumption.

scholarly journals The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Ghg Emissions ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Domestic Credit ◽  
The Impact ◽  
The Relationship

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

Controlling bridge vibrations using a viscoelastic waveguide absorber

2017 ◽  
Vol 232 (4) ◽  
pp. 1088-1102 ◽  
Author(s):  
Caiyou Zhao ◽  
Ping Wang
Keyword(s):  
Energy Consumption ◽  
Dynamic Performance ◽  
Railway Track ◽  
Favourable Effect ◽  
Railway Bridges ◽  
Vibration Absorption ◽  
Parameter Configuration ◽  
Bridge Vibrations ◽  
The Impact ◽  
Track Slab

The study aims to mitigate the impact of structure-borne noise from existing elevated railway bridges on residents living along the line. In the study, a viscoelastic waveguide absorber mounted on a track slab was proposed based on waveguide vibration absorption techniques by proceeding from the vibration transmitting path and using the track slab as the carrier. First, a dynamic model for the slab-mounted viscoelastic waveguide absorber was constructed, in which a vibration equation was derived and an energy consumption mechanism was obtained. Then, a Chinese railway track style II (CRTS II) ballastless track slab most widely used in Chinese elevated railways was modelled as the primary vibration system, on which an experimental modal analysis was performed. Additionally, a parameterized analysis was performed on the dynamic performance of the slab-mounted viscoelastic waveguide absorber based on the vibration absorption and energy consumption mechanism of the absorber to determine the optimum parameter configuration for the dissipater. Furthermore, the most suitable installation positions for the energy waveguide links were defined using a response surface method. Finally, a bridge vibration response control effectiveness under train loads was also investigated, and it indicated that the waveguide absorbers had a favourable effect in reducing the vibration and structure-borne noise from the elevated railway bridge.

Empirical research on the relationship between natural gas consumption and economic growth in the Northeast Asia

2018 ◽  
Vol 29 (2) ◽  
pp. 216-231 ◽  
Author(s):  
Li Zhi-Guo ◽  
Han Cheng ◽  
Wei Dong-Ming
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Natural Gas ◽  
Granger Causality ◽  
Northeast Asia ◽  
Gas Consumption ◽  
Causality Relationship ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

The Northeast Asia, as one of the most rapidly development regions, has a large amount of energy consumption. Therefore, it is very significant to study the relationship between natural gas consumption and economic growth in the Northeast Asia. This paper builds Panel Data Model to study the relationship between natural gas consumption and economic growth in China, Japan, and Korea from 1991 to 2015, on the basis of analyzing the impact mechanism that natural gas has on economic growth. This paper finds that the Japan’s elasticity coefficient of natural gas consumption is the highest, whereas Korea’s is the lowest, and China’s is in the middle of these two countries, because of countries’ different development level and energy consumption mode. Moreover, the results of Granger causality relationship test show that there is only one-way Granger causality relationship between natural gas consumption and economic growth of China, but no causal relationship is found for Japan and Korea.

Analysis of the Influence Factors of Energy Consumption in Pharmaceutical Industry

2014 ◽  
Vol 977 ◽  
pp. 170-173
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Run Ping Niu
Keyword(s):  
Energy Consumption ◽  
Pharmaceutical Industry ◽  
Air Conditioning ◽  
Influence Factors ◽  
Analysis Method ◽  
Air Conditioning System ◽  
Clean Air ◽  
Single Factor Analysis ◽  
The Impact ◽  
The Relationship

Abstract. Influence factors of energy consumption of air conditioning system in pharmaceutical industry had a perplexing relationship. The impact of energy consumption would have certain difference under different boundary conditions. The single factor analysis of energy consumption on the clean air conditioning system can not accurately reflect the significant level. Therefore, in the paper, orthogonal test and variance analysis method were adopt to determine the relationship between primary and secondary influence factors from ten major influencing factors on the clean air conditioning system in pharmaceutical industry which can guide the research on energy consumption.

Analysis on the Effect of Shape Coefficient to Energy Saving in Residential Buildings

2012 ◽  
Vol 450-451 ◽  
pp. 1425-1428
Author(s):  
Xiao Ping Feng ◽  
Hui Lin ◽  
Yue Wang ◽  
Hu Cheng
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Shape Coefficient ◽  
Building Shape ◽  
Building Plane ◽  
The Impact ◽  
The Relationship

Building shape coefficient is an important factor in building energy saving design. In order to analyze the influence of shape coefficient to the energy consumption, a typical residential building is simulated by BECS software to analyze the changing regular patterns of the energy consumption for heating and air conditioning while the building shape coefficient is made different. The relationship between building height and shape coefficient, and the impact of the building plane layout on the energy consumption are also analyzed. The results show that the reduction of shape coefficient is benefit to enhance the effect of energy saving.

scholarly journals Energy efficiency in the zeolite impact crushing plant of San Andrés (Holguín, Cuba)

DYNA ◽  
2015 ◽  
Vol 82 (193) ◽  
pp. 93-97
Author(s):  
José Ramón Hechavarría-Pérez ◽  
Alfredo L. Coello-Velazquez ◽  
Fernando Daniel Robles Proenza ◽  
Juan María Menendez-Aguado
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Specific Energy ◽  
Specific Energy Consumption ◽  
Operational Parameters ◽  
Impact Crushing ◽  
San Andres ◽  
Crushing Plant ◽  
The Impact ◽  
The Relationship

The present work deals with the impact crusher energy efficiency at San Andres Zeolitic Plant. Varying the operational parameters levels (rotor velocity, hammer row number and crusher capacity) were carried up two experimental series: First series was aimed to obtain the influence of the operational parameters on the power consumed by the crusher motor; the second series evaluated the crusher specific energy consumption behavior. First series empirical model obtained describes the influence of operational parameters on power consumption. Also the relationship among specific energy consumption and crusher speed and capacity were obtained. The most efficient operational regimen corresponded to 1100 rpm of the rotor velocity, 2 hammer row numbers and 15 t/h of crusher capacity.

The Relationship between Urban Density and Building Energy Consumption

Buildings ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 455
Author(s):  
Nariman Mostafavi ◽  
Mehdi Pourpeikari Heris ◽  
Fernanda Gándara ◽  
Simi Hoque
Keyword(s):  
Energy Consumption ◽  
Urban Form ◽  
Metropolitan Areas ◽  
Building Energy ◽  
The United States ◽  
Building Energy Consumption ◽  
Urban Density ◽  
The Us ◽  
The Impact ◽  
The Relationship

Neighborhood characteristics influence natural urban energy fluxes and the choices made by urban actors. This article focuses on the impact of urban density as a neighborhood physical parameter on building energy consumption profiles for seven different metropolitan areas in the United States. Primarily, 30 × 30 m2 cells were classified into five categories of settlement density using the US Geological Survey’s National Land Cover Dataset (NLCD), the US Census, and Census Block data. In the next step, linear hierarchical spatial and non-spatial models were developed and applied to building energy data in those seven metropolitan areas to explore the links between urban density (and other urban form parameters) and energy performance, using both frequentist and Bayesian statistics. Our results indicate that urban density is correlated with energy-use intensity (EUI), but its impact is not similar across different metropolitan areas. The outcomes of our analysis further show that the distance from buildings within which the influence of urban form parameters on EUI is most significant varies by city and negatively changes with urban density. Although the relationship between urban density parameters and EUI varies across cities, tree-cover area, impervious area, and neighborhood building-covered area have a more consistent impact compared to building and housing density.

Analysis of Channel Transmission Performance in UHF RFID System

2014 ◽  
Vol 1049-1050 ◽  
pp. 1876-1879
Author(s):  
Zhi Jia Lu ◽  
Zhen Yong Liu ◽  
Wan Qiang Han ◽  
Yu Jian Li
Keyword(s):  
Optimal Parameter ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Simulation Models ◽  
Uhf Rfid ◽  
Transmission Performance ◽  
Modulation And Demodulation ◽  
Symmetric Channel ◽  
Rfid System ◽  
The Relationship

This paper analyzes the characteristics of four kinds of possible channels in UHF RFID communication system, and makes a deep analysis on additive white Gaussian noise channel and binary symmetric channel. At the same time, it sets up the ASK modulation and demodulation simulation models of those two kinds of channels, summarizing the relationship between the bit error rate and the variety of signal to noise ratio of those two kinds of system. Finally, it concludes the optimal parameter of transmission process in the RFID system in experiments.

scholarly journals The Impact of Climate Change on Passenger Vehicle Fuel Consumption: Evidence from U.S. Panel Data

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4460 ◽  
Author(s):  
Hocheol Jeon
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Panel Data ◽  
Fuel Consumption ◽  
Residential Buildings ◽  
Extreme Weather Events ◽  
Gasoline Consumption ◽  
Impact Of Climate Change ◽  
The Impact ◽  
The Relationship

Climate change is around us today and will affect human life in many ways. More frequent extreme weather events raise mortality and car accident rates, global warming leads to longer growing seasons for crops, which may change farmers’ crop choices, and the relationship between energy demand in residential buildings and weather is widely investigated. In this paper, we focus on the impact of weather on energy consumption, in particular, gasoline consumption through the more frequent use of both vehicles themselves and the air conditioner of the vehicle that decreases fuel economy, which has not been paid enough attention in the literature. We estimate the relationship between fuel consumption and weather using unique U.S. panel data. We find that hot days increase gasoline consumption, but in contrast to the results of residential energy consumption literature, there is no statistically significant effect on cold weather. With climate prediction data from General Circulation Models (GCMs), we simulate the impact of climate change on fuel energy consumption. The results show that the fuel consumption in the transportation sector may increase by up to 4% under the “business-as-usual” (RCP 8.5) scenario. Also, climate change has heterogeneous impacts across the continental United States.

Sign in / Sign up

Export Citation Format

Share Document