A feasibility study of a new plant or even of a revamped one bases the forecast of incomes and outcomes on a discounting back approach. This means that both prices and costs of commodities (i.e. raw materials and products) are assumed constant for long time-horizons. Commodities together with utilities play a major role in the economic assessment of OPEXs (operative expenditures). The paper tackles the “discounting back” problem that sees a coming apart between the dynamics of real market prices/costs (subject to fluctuations, volatility, and the “supply and demand” law) and the constant prices/costs assumed in conventional feasibility studies. The manuscript presents and discusses a methodology to model the time evolution of prices and costs of commodities for the feasibility-study framework of dynamic conceptual design. It also provides an improved methodology respect to direct Monte Carlo sampling of quotations over historical ranges, which is effective for repeated design optimization.

Modeling the commodity fluctuations of OPEX terms

MANCA, DAVIDE
2013-01-01

Abstract

A feasibility study of a new plant or even of a revamped one bases the forecast of incomes and outcomes on a discounting back approach. This means that both prices and costs of commodities (i.e. raw materials and products) are assumed constant for long time-horizons. Commodities together with utilities play a major role in the economic assessment of OPEXs (operative expenditures). The paper tackles the “discounting back” problem that sees a coming apart between the dynamics of real market prices/costs (subject to fluctuations, volatility, and the “supply and demand” law) and the constant prices/costs assumed in conventional feasibility studies. The manuscript presents and discusses a methodology to model the time evolution of prices and costs of commodities for the feasibility-study framework of dynamic conceptual design. It also provides an improved methodology respect to direct Monte Carlo sampling of quotations over historical ranges, which is effective for repeated design optimization.
2013
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/874558
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