2019
DOI: 10.1016/j.esr.2019.100403
|View full text |Cite
|
Sign up to set email alerts
|

Optimizing Iran's natural gas export portfolio by presenting a conceptual framework for non-systematic risk based on portfolio theory

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 40 publications
0
2
0
Order By: Relevance
“…Hence, by using the hourly data of heating energy demand and mentioned prices, the annual cost of natural gas consumption for each building is calculated. Moreover, the price of natural gas exports through LNG and pipeline is assumed to be 23 and 20 cents USD per cubic meter, respectively [55]. Considering that there is still no district heating system in Iran, the price of natural gas in the DHS-G scenario is set at 1000 IRR per cubic meter, based on the price of industrial application.…”
Section: Economic Aspectmentioning
confidence: 99%
“…Hence, by using the hourly data of heating energy demand and mentioned prices, the annual cost of natural gas consumption for each building is calculated. Moreover, the price of natural gas exports through LNG and pipeline is assumed to be 23 and 20 cents USD per cubic meter, respectively [55]. Considering that there is still no district heating system in Iran, the price of natural gas in the DHS-G scenario is set at 1000 IRR per cubic meter, based on the price of industrial application.…”
Section: Economic Aspectmentioning
confidence: 99%
“…Methodologically, these studies define risks as either the fluctuation in import costs [78][79][80] or the supplier's economic and political state [81,82]. The latter, index-based approach is also used in the rare exporter-focused study of Iranian gas exports [83]. Note that when the indices that characterize energy importers or exporters are used as a proxy for supply security or price risks, the method becomes susceptible to the drawbacks typical for energy security coefficients highlighted in the previous chapter.…”
Section: Portfolio Optimization In the Energy Domainmentioning
confidence: 99%