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...
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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 |
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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 |
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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 |
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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. |
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36559291800 |
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36559291800 Ibrahim J.A. Hashim A.H. Majid M. Tahar R.M. |
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Conference paper |
author |
Ibrahim J.A. Hashim A.H. Majid M. Tahar R.M. |
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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 |
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2023 |
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1806423405028704256 |
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