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Record W6949218923 · doi:10.5281/zenodo.1477376

Small Scale LNG Terminals Market is Expected to Exceed 102 MMTPA by 2022

2018· article· en· W6949218923 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsMarket shareSWOT analysisScale (ratio)Market penetrationFossil fuelScope (computer science)Liquefied natural gasNatural gasMarket researchKey (lock)

Abstract

fetched live from OpenAlex

New York, September 22, 2018: Market Research Engine has published a new report titled as “Small Scale LNG Terminals Market by Technology (Liquefaction and Regasification) and by Type (Onshore and Offshore) - Global Industry Analysis and Forecast 2016 – 2022”.\n\n\nThe report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include Skangass AS, LindeAG,Prometheus Energy and Plum Energy. Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments. \n \nThe Top Companies Report is intended to provide our buyers with a snapshot of the industry’s most influential players. \n\n\n The scope of the report includes a detailed study of global and regional markets for Small Scale LNG Terminals with the reasons given for variations in the growth of the industry in certain regions.\n\n\nThe small scale LNG terminals market is expected to exceed more than 102 MMTPA by 2022; Growing at a CAGR of more than 10% in the given forecast period.\n\n\nBrowse Full Report: https://www.marketresearchengine.com/reportdetails/small-scale-lng-terminals-market\n\n\nLNG is progressively rising as one of the most preferred fuels worldwide. It is being used by various end user businesses. The main benefits of utilizing LNG as a fuel are its clean burning nature that considerably lowers emissions as compared to alternative fossil fuels. Presently there is a discrete variance in the global natural gas development with key manufacturers exporting a bulk of their creation and main customers being heavily dependent on imports. In such a situation, there is an increasing need for LNG transportation globally. Since transportation of natural gas in liquid form is regularly cheaper and mainly cost effective than construction pipelines. Although huge amount of LNG terminals have been preferably built across the globe till today’s date the emergence of little demand centers for natural gas within small geographies is steadily changing the focal point towards miniaturizing LNG infrastructure.\n\n\nThis report provides:\n\n1) An overview of the global market for small scale LNG terminals and related technologies.\n2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.\n3) Identifications of new market opportunities and targeted promotional plans for small scale LNG terminals.\n4) Discussion of research and development, and the demand for new products and new applications.\n5) Comprehensive company profiles of major players in the industry.\n\n\nThe Small Scale LNG Terminals Market has been segmented as below: \n\n\nThe small scale LNG terminals market is segmented on the Basis of Type Analysis and Geographical Analysis.By Type Analysisthis market is segmented on the basis of Liquefaction terminals type and Regasification terminals type.Liquefaction terminals by type is segmented into Onshore and Offshore.Regasification terminals by type is segmented into Onshore and Offshore.\n    \nBy Geographical Analysisthis market is segmented on the basis of North America, Europe, Asia-Pacific and Rest of the World.\n\n\nBuy Report from here: https://www.marketresearchengine.com/reportdetails/small-scale-lng-terminals-market\n\n\nTable of Contents\n\n\n1 INTRODUCTION\n\n\n2 Executive Summary\n\n\n3 Small Scale LNG Terminals Market – Industry Analysis\n\n\n3.1 Introduction\n\n\n3.2 Value Chain Analysis: Small Scale LNG Terminals Market\n\n\n3.3 Market Drivers\n\n\n     3.3.1 Security Of Gas Supply In Small Demand Centers And Development Of Small Gas Fields Has Led To Investment In Small Scale LNG Terminals\n\n\n     3.3.2 Preference Of Large Long Haul Vehicle Fleet Owners Towards Adopting LNG As An Alternative Fuel Source\n\n\n            3.3.2.1 Vehicle emission norms in South and North American countries\n\n\n                      3.3.2.1.1 U.S.\n\n\n                      3.3.2.1.2 Canada\n\n\n                      3.3.2.1.3 Mexico\n\n\n     3.3.3 Slumping Energy Prices Are Now Attracting More Investment In Small LNG Terminals Over The Mega Projects\n\n\n3.4 Market Restraints\n\n\n     3.4.1 Infrastructure Development Issues And Lack Of Constant Demand From End-User Segments\n\n\n3.5 Market Opportunities\n\n\n     3.5.1 Increasing LNG Bunkering Requirements In Emission Control Areas (ECAs) To Attract Investment In Small Scale LNG Terminals\n\n\n            3.5.1.1 Sulfur and Nitrogen Oxide Reduction Limits Achieved Using Various Bunker Fuel Grades\n\n\n            3.5.1.2 Global Offshore Oil and Gas Production Estimates and Forecast, by Region, 2013 – 2020 (Million Barrels/ Day)\n\n\n3.6 Porter’s five forces analysis: Small Scale LNG Terminals Market\n\n\n     3.6.1 Bargaining power of suppliers\n\n\n     3.6.2 Bargaining power of buyers\n\n\n     3.6.3 Threat from new entrants\n\n\n     3.6.4 Degree of competition\n\n\n     3.6.5 Threat from substitutes\n\n\n3.7 Market Attractiveness Analysis\n\n\n     3.7.1 Market Attractiveness Analysis of Global Small Scale LNG Terminals Market, by Region, 2013\n\n\n4 Small Scale LNG Terminals Market: Technology Analysis\n\n\n5 Small Scale LNG Terminals Market: Regional Analysis\n\n\n6 Company Profiles\n\n\n6.1 Skangass AS\n\n\n6.2 Emirates Liquefied Natural Gas (LNG) LLC\n\n\n6.3 PT DonggiSenoro LNG\n\n\n6.4 Prometheus Energy Company\n\n\n6.5 Petroliam NasionalBerhad (PETRONAS)\n\n\n6.6 Linde AG\n\n\n6.7 Santos Ltd\n\n\n6.8 Plum Energy, LLC\n\n\n6.9 EcoEléctrica Inc.\n\n\n6.10 Nippon Gas Co., Ltd.\n\n\nMedia Contact\n\n\nCompany Name: Market Research Engine\n\n\nContact Person: John Bay\n\n\nEmail: john@marketresearchengine.com\n\n\nPhone: +1-855-984-1862\n\n\nCountry: United States\n\n\nWebsite: https://www.marketresearchengine.com/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.4330.025

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.223
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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