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The development of novel approach for risk quantification in coal procurement

Determining the optimum level of security is an area where more research is required. In principle, the optimum level of security that a system provides is determined by the interaction between cost of providing extra security and value to consumers. Risks in energy system have to be quantified in o...

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Main Authors:	Ibrahim J.A., Hashim A.H., Majid M., Mat Tahar R.
Other Authors:	36559291800
Format:	Conference paper
Published:	2023
Subjects:	Coal Non-delivery probability table Probability Risk quantification Coal industry Costs Optimization Energy security Energy systems Probability tables Supplier involved Risks
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id	my.uniten.dspace-30584
record_format	dspace
spelling	my.uniten.dspace-305842023-12-29T15:49:49Z The development of novel approach for risk quantification in coal procurement Ibrahim J.A. Hashim A.H. Majid M. Mat Tahar R. 36559291800 24447656300 57211016529 55899271100 Coal Non-delivery probability table Probability Risk quantification Coal Coal industry Costs Optimization Energy security Energy systems Non-delivery probability table Probability tables Risk quantification Supplier involved Risks Determining the optimum level of security is an area where more research is required. In principle, the optimum level of security that a system provides is determined by the interaction between cost of providing extra security and value to consumers. Risks in energy system have to be quantified in order to identify the level of security. To make comparison between cost of providing energy security and level of security, the quantified risks have to be in similar common variable as the costs. Then, an optimum level of security and cost can be estimated using appropriate methods. The objective of this paper is to present the development of Non-delivery Probability Table (NdPT) for use in coal procurements in energy system. This table will provide the probabilities of non-delivery for every supplier involved in supplying fuel for the system. These probabilities then can be used to quantify the risks in energy systems. �2010 IEEE. Final 2023-12-29T07:49:49Z 2023-12-29T07:49:49Z 2010 Conference paper 10.1109/PEOCO.2010.5559202 2-s2.0-77958012181 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958012181&doi=10.1109%2fPEOCO.2010.5559202&partnerID=40&md5=c0f4df78f4e727703d542cc474cf694c https://irepository.uniten.edu.my/handle/123456789/30584 5559202 255 260 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	Coal Non-delivery probability table Probability Risk quantification Coal Coal industry Costs Optimization Energy security Energy systems Non-delivery probability table Probability tables Risk quantification Supplier involved Risks
spellingShingle	Coal Non-delivery probability table Probability Risk quantification Coal Coal industry Costs Optimization Energy security Energy systems Non-delivery probability table Probability tables Risk quantification Supplier involved Risks Ibrahim J.A. Hashim A.H. Majid M. Mat Tahar R. The development of novel approach for risk quantification in coal procurement
description	Determining the optimum level of security is an area where more research is required. In principle, the optimum level of security that a system provides is determined by the interaction between cost of providing extra security and value to consumers. Risks in energy system have to be quantified in order to identify the level of security. To make comparison between cost of providing energy security and level of security, the quantified risks have to be in similar common variable as the costs. Then, an optimum level of security and cost can be estimated using appropriate methods. The objective of this paper is to present the development of Non-delivery Probability Table (NdPT) for use in coal procurements in energy system. This table will provide the probabilities of non-delivery for every supplier involved in supplying fuel for the system. These probabilities then can be used to quantify the risks in energy systems. �2010 IEEE.
author2	36559291800
author_facet	36559291800 Ibrahim J.A. Hashim A.H. Majid M. Mat Tahar R.
format	Conference paper
author	Ibrahim J.A. Hashim A.H. Majid M. Mat Tahar R.
author_sort	Ibrahim J.A.
title	The development of novel approach for risk quantification in coal procurement
title_short	The development of novel approach for risk quantification in coal procurement
title_full	The development of novel approach for risk quantification in coal procurement
title_fullStr	The development of novel approach for risk quantification in coal procurement
title_full_unstemmed	The development of novel approach for risk quantification in coal procurement
title_sort	development of novel approach for risk quantification in coal procurement
publishDate	2023
_version_	1806424005111971840
score	13.211869

The development of novel approach for risk quantification in coal procurement

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