Special Issue "Computational Analysis of Natural Gas Supply Chains"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: 20 February 2020
The emissions of greenhouse gases around the world must be considerably reduced to combat global warming, and the energy and transportation sectors are presently the largest emitters. In the long run, all energy sources have to become renewable, but during the transition period, solutions with lower CO2 emissions will play a key role. An increased use of variable and intermittent renewable energy sources also brings about challenges concerning operational flexibility, reliability, and sustainability of the power systems.
Natural gas (NG) is today the fastest growing energy source, and it is obvious that NG will play an important role during the energy transition phase: Its CO2 emissions are lower than for other fossil fuels, and NG is a necessary complement to intermittent renewable energy sources in power production. However, because of its lower energy density and the globally distributed locations of the gas sources, it has become increasingly important to design efficient gas distribution chains. The supply chain of liquefied natural gas (LNG) calls for special transportation and storage solutions due to the low temperature (about -160 °C) and the associated problem of boil-off gas handling.
The present Special Issue of Energies focuses on computational tools for the design and operation of efficient natural gas supply chains, including transportation of gas in pipelines, in compressed (CNG) or liquefied form by ships or by trucks. Studies of interest include but are not limited to optimal design and operation of gas pipeline networks, LNG or CNG supply chains, considering economic, reliability, and sustainability issues. Furthermore, papers addressing the interplay between gas supply and distribution of other energy forms (e.g., power), as well as planning, scheduling, and dynamic aspects of gas delivery are also welcome.
We would like to invite authors to submit papers related to computational analysis of natural gas supply chains. We also encourage experts to submit review papers that systematically summarize the progress and propose lines of future development in the field.
Prof. Henrik Saxén
Dr. Kwabena Addo Pambour
Dr. Frank Pettersson
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 papers will be 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 1800 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.
- Modeling and simulation of gas pipelines
- LNG/CNG supply chain optimization
- Models of global or regional gas supply chains
- Design of robust supply chains, design under uncertainty
- Retrofit of existing supply chains
- Fleet size/vehicle routing problems for LNG/CNG supply
- Gas to power (G2P)/power to gas (P2G)
- Integration of synthetic natural gas (SNG)
- Gas quality and composition tracking
- Gas storage
- Sector coupling, gas electricity interaction