A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries

This paper presents a novel decision-support tool for assessing future generation portfolios in an increasingly uncertain electricity industry. The tool combines optimal generation mix concepts with Monte Carlo simulation and portfolio analysis techniques to determine expected overall industry costs...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Energy policy 2012-02, Vol.41 (1), p.374-392
Hauptverfasser:	Vithayasrichareon, Peerapat, MacGill, Iain F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Capital Carbon carbon dioxide Carbon emissions carbon markets case studies coal Computer simulation Construction costs Cost Cost analysis Costs Decision making decision support systems demand elasticities Economic data Economics Electric energy Electric power electricity electricity costs Electricity generation Electricity industry Emissions control Energy Energy economics Energy policy Estimation Exact sciences and technology Financing General, economic and professional studies Generation investment under uncertainty Generation portfolio greenhouse gas emissions greenhouse gases Industry issues and policy Methodology. Modelling Monte Carlo method Monte Carlo methods Monte Carlo simulation Portfolio analysis Power generation Prices Probability probability distribution risk risk assessment Studies Uncertainty
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!