Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.2
3.0
Journals
Energies
Special Issues
Transportation Emissions and Energy Modeling
energies-logo
Submit to Energies Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Transportation Emissions and Energy Modeling

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: closed (25 November 2022) | Viewed by 11011

Special Issue Editor

Dr. Wei-Shiuen Ng

E-Mail Website
Guest Editor
Transport Division, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), Bangkok 10200, Thailand
Interests: transport and emissions modeling; climate change policy; sustainable transport; behavioral modeling

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions to a Special Issue of Energies entitled “Transportation Emissions and Energy Modeling”. Transportation is one of the fastest growing sources of global carbon dioxide emissions and has been a dominant contributor of local air pollution, especially in urban areas that do not enforce stringent air quality or fuel standards. It is a sector that currently relies predominantly on fossil fuel, and as population increases together with vehicle and energy use, it is inevitable that transportation emissions will continue to rise. Although technological advancements have the capacity to create low or zero carbon transportation systems, travel behavior and demand have to be managed simultaneously in order to achieve targeted emission levels. Broad reforms and the quantification of their impact are required to support the implementation of policies that can influence transportation demand and services, energy use, and emissions. This Special Issue will focus on the modeling of transportation activities, behavior, energy use, and subsequent emissions linked to total distance traveled, mode choice, the energy intensity of the chosen transportation mode, emissions factors, and other relevant variables.

Topics of interest for publication include, but are not limited to:

  • Transportation demand modeling;
  • Transportation energy modeling;
  • Greenhouse gas and local air pollutant emission modeling;
  • Traffic modeling;
  • Transportation forecasts and projections;
  • Discrete choice analysis;
  • Passenger and freight transportation;
  • Transportation optimization;
  • Integrated systems analysis;
  • Energy and transportation systems analysis;
  • Network analysis;
  • Transportation systems simulation modeling;
  • Energy efficiency scenarios;
  • Low or zero carbon transportation pathways;
  • Policy scenarios;
  • Energy transition;
  • Innovative disruptions and technology;
  • Urban growth simulation;
  • Urban development and planning.

Dr. Wei-Shiuen Ng
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Transportation modeling
  • Energy systems
  • Emissions modeling
  • Decarbonization
  • Policy scenarios
  • Systems analysis
  • Transportation behavior
  • Traffic emissions
  • Low carbon traffic

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 3922 KiB  
Article
Application of the Experimental Method in the Assessment of the Electromobility Paradigm for Courier Shipments in an Urban Agglomeration
by Mariusz Jedliński and Mariusz Nürnberg
Energies 2022, 15(24), 9573; https://doi.org/10.3390/en15249573 - 16 Dec 2022
Cited by 1 | Viewed by 1224
Abstract
The main idea of this article is to identify the benefits of the full vehicle substitution process for a fully sustainable Urban Freight Transport (UFT) in economic, social, and environmental terms, based on the application of the experimental method. The scientific assumption was [...] Read more.
The main idea of this article is to identify the benefits of the full vehicle substitution process for a fully sustainable Urban Freight Transport (UFT) in economic, social, and environmental terms, based on the application of the experimental method. The scientific assumption was made that Electric Delivery Vehicles (EFV) can be complementary in the first stage, and only in the next stage, substitutable to the traditional diesel-powered fleet servicing transport (courier) tasks within the delivery limits in the Szczecin Agglomeration. To assess the level of substitutability, observational instruments were used, while ensuring an active modification of the studied phenomenon (introduction to the operation of selected routes of electric vehicles). The focus was on three key elements, the environment, rules, and regularities. The article presents the architecture of such experiments regarding 22 selected routes, which allowed for the calculation of selected performance indicators for ex-ante evaluation in planning delivery scenarios. The results were verified using a simulation-based approach in the Szczecin Metropolitan Area. As a result, it made it possible to find answers to the research questions posed, in particular: is it possible to fully replace combustion-engine vans with electric ones, and what integrated benefits can be identified, and their systematics has been illustrated in the proposed proprietary model “Electromobility Octagon Profit”. Future research could extend the theoretical knowledge by further exploring the development processes for the use of electric vehicles in the urban freight transport system and by adding insights from other contexts, stakeholders, and theoretical areas. Full article
(This article belongs to the Special Issue Transportation Emissions and Energy Modeling)
►▼ Show Figures

Figure 1

21 pages, 2141 KiB  
Article
Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach
by Anastasia Soukhov, Ahmed Foda and Moataz Mohamed
Energies 2022, 15(19), 6905; https://doi.org/10.3390/en15196905 - 21 Sep 2022
Cited by 3 | Viewed by 1787
Abstract
The passenger transportation sector is notoriously sticky to decarbonize because it is interlinked with urban form, individual choice, and economic growth. As the urgency to respond to climate change increases and the transport sector disproportionally increases its contributions to global GHG emissions, there [...] Read more.
The passenger transportation sector is notoriously sticky to decarbonize because it is interlinked with urban form, individual choice, and economic growth. As the urgency to respond to climate change increases and the transport sector disproportionally increases its contributions to global GHG emissions, there is a need for a more meaningful and transparent application of tools to cost GHG emission reduction. This study presents a multi-objective integer optimization (MIO) model to support the costing and GHG reduction estimation of electric mobility road passenger transportation policies. The model considers both cost and GHG emission minimization under resource constraints and background changes in policy interventions within interval ranges for the province of Ontario’s (Canada) in year 2030. All Pareto optimal solutions are included but results that indicate the optimal policy allocation for two discrete targets are discussed in detail; one scenario where $3 billion spending over ten years is the target and another scenario where the target is 40% GHG reduction in year 2030 (relative to 2005 levels). The MIO approach offers an out-of-the-box solution to support the GHG-reducing decision-making process at all levels of government by implementing optimal policy combinations to achieve GHG emission reductions under a target GHG emission reduction target and/or budget. Full article
(This article belongs to the Special Issue Transportation Emissions and Energy Modeling)
►▼ Show Figures

Figure 1

23 pages, 12580 KiB  
Article
The Impact of Airspace Discretization on the Energy Consumption of Autonomous Unmanned Aerial Vehicles (Drones)
by Mo ElSayed and Moataz Mohamed
Energies 2022, 15(14), 5074; https://doi.org/10.3390/en15145074 - 12 Jul 2022
Cited by 8 | Viewed by 1701
Abstract
Promising massive emissions reduction and energy savings, the utilization of autonomous unmanned aerial vehicles (UAVs) in last-mile parcel delivery is continuously expanding. However, the limited UAV range deters their widescale adoption to replace ground modes of transportation. Moreover, real-world data on the impact [...] Read more.
Promising massive emissions reduction and energy savings, the utilization of autonomous unmanned aerial vehicles (UAVs) in last-mile parcel delivery is continuously expanding. However, the limited UAV range deters their widescale adoption to replace ground modes of transportation. Moreover, real-world data on the impact of different parameters on the operation, emissions, and energy consumption is scarce. This study aims to assess the impact of airspace planning and discretization on the energy consumption of autonomous UAVs. We utilize a novel open-source comprehensive UAV autonomous programming framework and a digital-twin model to simulate real-world three-dimensional operation. The framework integrates airspace policies, UAV kinematics, and autonomy to accurately estimate the operational energy consumption via an experimentally verified energy model. In the simulated case study, airspace is discretized by both a traditional Cartesian method and a novel dynamic 4D discretization (Skyroutes) method. This allows for the comparison of different routing and trajectory planning algorithms for ten missions. The results show a variation in the energy consumption by up to 50%, which demonstrates the criticality of airspace discretization and planning on UAV charging infrastructure design, greenhouse gas emissions reduction, and airspace management. Full article
(This article belongs to the Special Issue Transportation Emissions and Energy Modeling)
►▼ Show Figures

Figure 1

17 pages, 1465 KiB  
Article
Analysis of the Nicolaus Copernicus Airport Activity in Terms of the Flight Operations Impact on Air Pollution
by Kamila Przespolewska-Gdowik and Remigiusz Jasiński
Energies 2021, 14(24), 8236; https://doi.org/10.3390/en14248236 - 7 Dec 2021
Cited by 3 | Viewed by 2160
Abstract
The dynamic development of aviation is associated with many benefits, but also, unfortunately, with negative effects. One of the adverse consequences is the exhaust emissions that have a negative impact on human health. It particularly affects the residents of areas neighboring airports, as [...] Read more.
The dynamic development of aviation is associated with many benefits, but also, unfortunately, with negative effects. One of the adverse consequences is the exhaust emissions that have a negative impact on human health. It particularly affects the residents of areas neighboring airports, as airport activity deteriorates local air quality. Using the Emissions and Dispersion Modeling System, the activity of the Nicolaus Copernicus Airport was assessed in terms of the flight operations’ contribution to air contamination in the area adjacent to the airport. Emissions from three sources were compared: aircraft, ground support equipment and auxiliary power units. The concentrations of pollutants in inhabited areas located in three different directions in relation to the airport were also estimated. In addition, the effect of distance from the airport on contaminant concentrations was assessed as a function of wind direction. It was noticed that small values of pollutant concentrations, originating from airport activity, appeared within a few kilometers from the airport, even if the prevailing wind direction on a given day was opposite to the analyzed dispersion direction. Full article
(This article belongs to the Special Issue Transportation Emissions and Energy Modeling)
►▼ Show Figures

Figure 1

32 pages, 3165 KiB  
Article
Mathematical Programming and Solution Approaches for Transportation Optimisation in Supply Network
by Joanna Szkutnik-Rogoż, Jarosław Ziółkowski, Jerzy Małachowski and Mateusz Oszczypała
Energies 2021, 14(21), 7010; https://doi.org/10.3390/en14217010 - 26 Oct 2021
Cited by 10 | Viewed by 2992
Abstract
The problem of transport is a special type of mathematical programming designed to search for the optimal distribution network, taking into account the set of suppliers and the set of recipients. This article proposes an innovative approach to solving the transportation problem and [...] Read more.
The problem of transport is a special type of mathematical programming designed to search for the optimal distribution network, taking into account the set of suppliers and the set of recipients. This article proposes an innovative approach to solving the transportation problem and devises source codes in GNU Octave (version 3.4.3) to avoid the necessity of carrying out enormous calculations in traditional methods and to minimize transportation costs, fuel consumption, and CO2 emission. The paper presents a numerical example of a solution to the transportation problem using: the northwest corner, the least cost in the matrix, the row minimum, and Vogel’s Approximation Methods (VAM). The joint use of mathematical programming and optimization was applicable to real conditions. The transport was carried out with medium load trucks. Both suppliers and recipients of materials were located geographically within the territory of the Republic of Poland. The presented model was supported by a numerical example with interpretation and visualization of the obtained results. The implementation of the proposed solution enables the user to develop an optimal transport plan for individually defined criteria. Full article
(This article belongs to the Special Issue Transportation Emissions and Energy Modeling)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop