Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix

Systems are secure if its have lower risks of system interruption. However, to determine the optimum level of security is an area where requires more research. In principle, the optimum level of security that a system provides is determined by the interaction between the cost of providing extra secu...

Full description

Saved in:
Bibliographic Details
Main Authors: Ibrahim J.A., Hashim A.H., Majid M., Tahar R.M.
Other Authors: 36559291800
Format: Conference paper
Published: 2023
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-30568
record_format dspace
spelling my.uniten.dspace-305682023-12-29T15:49:34Z Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix Ibrahim J.A. Hashim A.H. Majid M. Tahar R.M. 36559291800 24447656300 57211016529 55899271100 Energy security Non-delivery probability table (NdPT) Risk quantification Supply shortage impact (SSI) Artificial intelligence Costs Energy security Energy systems matrix Non-delivery probability table (NdPT) Probability tables Risk quantification Security point Supply shortage impact (SSI) Supply shortages Risks Systems are secure if its have lower risks of system interruption. However, to determine the optimum level of security is an area where requires more research. In principle, the optimum level of security that a system provides is determined by the interaction between the cost of providing extra security and the value to consumers. The risks in energy system have to be quantified in order to identify the level of security. To make comparison between the cost of providing energy security and level of security, the quantified risks have to be in the same common variable as the costs. Then, an optimum level of security and cost can be estimated using appropriate methods. As no such attempts have been tried to compare the risks and the cost in the same platform, it is difficult to determine the optimum security point between the risks and cost of providing that security. The objective of this paper is to present the development of Supply Shortage Impact for risk quantification in coal procurements for power generation. This method in combination with Non-delivery Probability Table will provide risk in common variable as the cost for presenting valuable information on security and cost of providing it. � 2010 IEEE. Final 2023-12-29T07:49:34Z 2023-12-29T07:49:34Z 2010 Conference paper 10.1109/CIMSiM.2010.25 2-s2.0-79952084361 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952084361&doi=10.1109%2fCIMSiM.2010.25&partnerID=40&md5=85fdf6a7a10347914683942cd155dbde https://irepository.uniten.edu.my/handle/123456789/30568 5701880 401 406 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Energy security
Non-delivery probability table (NdPT)
Risk quantification
Supply shortage impact (SSI)
Artificial intelligence
Costs
Energy security
Energy systems
matrix
Non-delivery probability table (NdPT)
Probability tables
Risk quantification
Security point
Supply shortage impact (SSI)
Supply shortages
Risks
spellingShingle Energy security
Non-delivery probability table (NdPT)
Risk quantification
Supply shortage impact (SSI)
Artificial intelligence
Costs
Energy security
Energy systems
matrix
Non-delivery probability table (NdPT)
Probability tables
Risk quantification
Security point
Supply shortage impact (SSI)
Supply shortages
Risks
Ibrahim J.A.
Hashim A.H.
Majid M.
Tahar R.M.
Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
description Systems are secure if its have lower risks of system interruption. However, to determine the optimum level of security is an area where requires more research. In principle, the optimum level of security that a system provides is determined by the interaction between the cost of providing extra security and the value to consumers. The risks in energy system have to be quantified in order to identify the level of security. To make comparison between the cost of providing energy security and level of security, the quantified risks have to be in the same common variable as the costs. Then, an optimum level of security and cost can be estimated using appropriate methods. As no such attempts have been tried to compare the risks and the cost in the same platform, it is difficult to determine the optimum security point between the risks and cost of providing that security. The objective of this paper is to present the development of Supply Shortage Impact for risk quantification in coal procurements for power generation. This method in combination with Non-delivery Probability Table will provide risk in common variable as the cost for presenting valuable information on security and cost of providing it. � 2010 IEEE.
author2 36559291800
author_facet 36559291800
Ibrahim J.A.
Hashim A.H.
Majid M.
Tahar R.M.
format Conference paper
author Ibrahim J.A.
Hashim A.H.
Majid M.
Tahar R.M.
author_sort Ibrahim J.A.
title Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
title_short Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
title_full Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
title_fullStr Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
title_full_unstemmed Risk quantification in coal procurement for power generation: The development of Supply Shortage Impact matrix
title_sort risk quantification in coal procurement for power generation: the development of supply shortage impact matrix
publishDate 2023
_version_ 1806423405028704256
score 13.214268