EVALUATION METHOD FOR ADVANCED ACID-RAIN COMPLIANCE TECHNOLOGY

被引：3

作者：

FREY, HC

RUBIN, ES

机构：

[1] Dept. of Engrg., and Public Policy, Ctr. for Energy and Envir. Studies, Carnegie-Mellon Univ., Pittsburgh, PA

[2] Envir. Engrg., and Sci., and Dir, Ctr. for Energy and Envir. Studies, Carnegie-Mellon Univ, Pittsburgh, PA

来源：

JOURNAL OF ENERGY ENGINEERING-ASCE | 1992年 / 118卷 / 01期

关键词：

D O I：

10.1061/(ASCE)0733-9402(1992)118:1(38)

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Technological innovation in emissions control of acid rain precursors has made possible increasingly stringent control requirements for coal-fired power plants. A key challenge for potential process adopters is evaluation of the uncertainties in performance and cost inherent in any new control technology. Uncertainties can be explicitly characterized using probabilistic modeling techniques such as Monte Carlo simulation. A robust approach to evaluating advanced systems is illustrated via a case study based on the fluidized bed copper oxide process. An engineering performance and cost model of this process was developed. Selected input parameters were assigned probability distributions based on data analysis and expert judgments. The model the then was exercised in a probabilistic modeling environment. The modeling applications illustrate how uncertainty may be included in process evaluation. In particular, the likely cost savings and risks of a new technology compared to conventional technology can be estimated under varying design and uncertainty assumptions. The results can be used for decisions regarding process design trade-offs, technology selection, and research planning in the face of uncertainty.

引用

页码：38 / 55

页数：18

共 14 条

[1]

Buck J.R., Askin R.G., Partial means in the economic risk analysis of projects, Engrg. Economist, 31, 3, pp. 189-211, (1986)

[2]

Carr R.C., Integrated environmental control in the electric utility industry, Integrated Envir. Controls, (1986)

[3]

Dawes R.M., Harcort Brace Jovanovich, Rational Choice in an Uncertain World, (1988)

[4]

TAG—Technical assessment guide, volume 1: Electricity supply, Electric Power Research Institute (EPRI), Inc., (1986)

[5]

Frey H.C., Performance and economic model of the fluidized bed copper oxide process, Thesis Presented to Carnegie Mellon University, at Pittsburgh, Pa., in Partial Fulfillment of the Requirements for the Degree of Master of Engineering, (1987)

[6]

Frey H.C., Probabilistic modeling of innovative clean coal technologies: Implications for technology evaluation and research planning, Thesis Presented to Carnegie Mellon University, at Pittsburgh, Pa., in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy, (1991)

[7]

Frey H.C., Rubin E.S., Probabilistic evaluation of advanced SO<sub>2</sub>/NO<sub>x</sub>, control technology, J. Air and Waste Mgmt. Assoc, 41, 12, pp. 1585-1593, (1991)

[8]

Henrion M., Wishbow N., Demos User’s Manual, (1987)

[9]

Hess R.W., Merrow E.W., Pei R.Y., An application of the pioneer plants study methodology to a first-of-a-kind MHD central station, Rand Corporation, (1987)

[10]

Milanese J.J., Process industry contingency estimation: A study of the ability to account for unforeseen costs, Rand Corporation, (1987)

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