scholarly journals Speed Limit Induced CO2 Reduction on Motorways: Enhancing Discussion Transparency through Data Enrichment of Road Networks

2021 ◽  
Vol 13 (1) ◽  
pp. 395
Author(s):  
Jan Kunkler ◽  
Maximilian Braun ◽  
Florian Kellner

Considering climate change, recent political debates often focus on measures to reduce CO2 emissions. One key component is the reduction of emissions produced by motorized vehicles. Since the amount of emission directly correlates to the velocity of a vehicle via energy consumption factors, a general speed limit is often proposed. This article presents a methodology to combine openly available topology data of road networks from OpenStreetMap (OSM) with pay-per-use API traffic data from TomTom to evaluate such measures transparently by analyzing historical real-world circumstances. From our exemplary case study of the German motorway network, we derive that most parts of the motorway network on average do not reach their maximum allowed speed throughout the day due to traffic, construction sites and general road utilization by network participants. Nonetheless our findings prove that the introduction of a speed limit of 120 km per hour on the German autobahn would restrict 50.74% of network flow kilometers for a CO2 reduction of 7.43% compared to the unrestricted state.

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.


Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2564 ◽  
Author(s):  
Anderson Passos de Aragão ◽  
Patrícia Teixeira Leite Asano ◽  
Ricardo de Andrade Lira Rabêlo

The Hydrothermal Coordination problem consists of determining an operation policy for hydroelectric and thermoelectric plants within a given planning horizon. In systems with a predominance of hydraulic generation, the operation policy to be adopted should specify the operation of hydroelectric plants, so that hydroelectric resources are used economically and reliably. This work proposes the implementation of reservoir operation rules, using inter-basin water transfer through an optimization model based on Network Flow and Particle Swarm Optimization (PSO). The proposed algorithm aims to obtain an optimized operation policy of power generation reservoirs and consequently to maximize the hydroelectric benefits of the hydrothermal generation system, to reduce the use of thermoelectric plants, the importation and/or energy deficit and to reduce the cost associated with meeting the demand and reduce CO2 emissions from combustion of fossil fuels used by thermoelectric plants. In order to illustrate the efficiency and effectiveness of the proposed approach, it was evaluated by optimizing two case studies using a system with four hydroelectric plants. The first case study does not consider transfer and water and the second case study uses water transfer between rivers. The obtained results illustrate that the proposed model allowed to maximize the hydroelectric resources of a hydrothermal generation system with economy and reliability.


2021 ◽  
pp. 128973
Author(s):  
Liting Zhang ◽  
Yongwen Yang ◽  
Qifen Li ◽  
Weijun Gao ◽  
Fanyue Qian ◽  
...  

Author(s):  
Luigia Mocerino ◽  
Franco Quaranta

The scope of this work is to try to quantify the reduction of emissions due to COVID-19; an analysis covering the entire port of Naples will be presented. The explosion of the global pandemic from SARS-CoV-2 led to the adoption of local and global countermeasures aimed at containing contagions. The transportation sector, and in particular the passenger moving sector, was deeply affected; this almost total block of movements between regions and countries if, on the one hand, seriously slowed the economy, on the other, it drastically reduced the emissions on a global and local scale. In this work, the case study of the cruise ships berthed at the Maritime Station (Stazione Marittima) in the port of Naples is examined. The traffic of cruise ships during the lockdown and in the immediately following months was analysed and compared first with respect to the calendars scheduled for the same period and then with respect to the same months of 2019. The reduction in number of cruise ships and passengers were analysed and compared to the previous trends. The vessels collected, for 2019 and 2020 (both those that arrived and those that suffered the effects of the movement block) were subsequently characterized in terms of power and speed. Finally, an estimate of the emissions of NOX, SOX, CO2 produced and saved was carried out. The 2020 results will be compared with the hypothetical emissions that would have occurred in the absence of the lockdown and with those of the same period of the previous year.


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