Abstract
The report incorporates the economic aspects of the control procedure and aims at developing an optimal plan for the control of one or more sources of pollution by a cost-benefit analysis. The economic optimal is seen from the point of view of the society. The type of problem considered is one where the aim is to limit the total amount of material emitted, i.e. the mean value of the distribution of emissions, measured as e.g. mg/h, is the object of control. Measurements are assumed to follow a log-normal distribution. A set of data consisting of 263 observations of emission of dust from municipal solid waste burning plants is the practical example used to illuminate the theoretical developments. The problem is formulated in a Bayesian framework. The situation with one source is considered, assuming that the distribution of emission values does not change in the considered period of time unless the control procedure shows the need of technological adjustments of the source. Fundamental economic assumptions and rules of making decisions are formulated, and estimation of the prior distribution of the state of the source is discussed. The allocation of observations between two sources are considered in a decision theoretical setup. A
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Christensen, E S
[1]
- Aalborg Universitetscenter. Institute of Production (DK)
Citation Formats
Christensen, E S.
Controlling emissions.
Denmark: N. p.,
1990.
Web.
Christensen, E S.
Controlling emissions.
Denmark.
Christensen, E S.
1990.
"Controlling emissions."
Denmark.
@misc{etde_10144625,
title = {Controlling emissions}
author = {Christensen, E S}
abstractNote = {The report incorporates the economic aspects of the control procedure and aims at developing an optimal plan for the control of one or more sources of pollution by a cost-benefit analysis. The economic optimal is seen from the point of view of the society. The type of problem considered is one where the aim is to limit the total amount of material emitted, i.e. the mean value of the distribution of emissions, measured as e.g. mg/h, is the object of control. Measurements are assumed to follow a log-normal distribution. A set of data consisting of 263 observations of emission of dust from municipal solid waste burning plants is the practical example used to illuminate the theoretical developments. The problem is formulated in a Bayesian framework. The situation with one source is considered, assuming that the distribution of emission values does not change in the considered period of time unless the control procedure shows the need of technological adjustments of the source. Fundamental economic assumptions and rules of making decisions are formulated, and estimation of the prior distribution of the state of the source is discussed. The allocation of observations between two sources are considered in a decision theoretical setup. A dynamic model for the effect of aging is proposed, technological ``wearout`` into consideration. The behaviour of the system under a scheduled plan of observation with equidistant time intervals is considered, and a suggestion for fixing intensity of observations is given. The developed theory is discussed in connection with the data concerning the content of dust in flue gas. (AB) (23 refs.).}
place = {Denmark}
year = {1990}
month = {Dec}
}
title = {Controlling emissions}
author = {Christensen, E S}
abstractNote = {The report incorporates the economic aspects of the control procedure and aims at developing an optimal plan for the control of one or more sources of pollution by a cost-benefit analysis. The economic optimal is seen from the point of view of the society. The type of problem considered is one where the aim is to limit the total amount of material emitted, i.e. the mean value of the distribution of emissions, measured as e.g. mg/h, is the object of control. Measurements are assumed to follow a log-normal distribution. A set of data consisting of 263 observations of emission of dust from municipal solid waste burning plants is the practical example used to illuminate the theoretical developments. The problem is formulated in a Bayesian framework. The situation with one source is considered, assuming that the distribution of emission values does not change in the considered period of time unless the control procedure shows the need of technological adjustments of the source. Fundamental economic assumptions and rules of making decisions are formulated, and estimation of the prior distribution of the state of the source is discussed. The allocation of observations between two sources are considered in a decision theoretical setup. A dynamic model for the effect of aging is proposed, technological ``wearout`` into consideration. The behaviour of the system under a scheduled plan of observation with equidistant time intervals is considered, and a suggestion for fixing intensity of observations is given. The developed theory is discussed in connection with the data concerning the content of dust in flue gas. (AB) (23 refs.).}
place = {Denmark}
year = {1990}
month = {Dec}
}