Abstract
This study deals with the developing and testing of methods for dynamic simulation and operational optimization of district heating systems. The performance of a number of models for simulating or predicting the heat load of consumers on a substation level was investigated through regression analysis, estimating the constants of the models on the basis of measured data. It was found that if the value of the most important climate variables were known, then the heat load could be simulated or predicted with reasonable accuracy in several ways, the actual purpose of it`s application being decisive for selection of model category. If the consumers` real supply temperature was known, then the return temperature could be estimated with accuracy on the basis of a linear combination of the heat load and the supply temperature only. For dynamic simulation of transient temperatures a new method was much faster and more accurate than the conventional method, and it was found capable of simulating transient temperatures in a district heating network built up of preinsulated pipes. One method for searching for optimum by comparing series of simulations, and another optimization based on determining the time delays and the temperature drop in the network iteratively by
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Citation Formats
Benonysson, A.
Dynamic modelling and operational optimization of district heating systems.
Denmark: N. p.,
1991.
Web.
Benonysson, A.
Dynamic modelling and operational optimization of district heating systems.
Denmark.
Benonysson, A.
1991.
"Dynamic modelling and operational optimization of district heating systems."
Denmark.
@misc{etde_10133561,
title = {Dynamic modelling and operational optimization of district heating systems}
author = {Benonysson, A}
abstractNote = {This study deals with the developing and testing of methods for dynamic simulation and operational optimization of district heating systems. The performance of a number of models for simulating or predicting the heat load of consumers on a substation level was investigated through regression analysis, estimating the constants of the models on the basis of measured data. It was found that if the value of the most important climate variables were known, then the heat load could be simulated or predicted with reasonable accuracy in several ways, the actual purpose of it`s application being decisive for selection of model category. If the consumers` real supply temperature was known, then the return temperature could be estimated with accuracy on the basis of a linear combination of the heat load and the supply temperature only. For dynamic simulation of transient temperatures a new method was much faster and more accurate than the conventional method, and it was found capable of simulating transient temperatures in a district heating network built up of preinsulated pipes. One method for searching for optimum by comparing series of simulations, and another optimization based on determining the time delays and the temperature drop in the network iteratively by applying a standard optimization method for constrained problems were discussed. When formulating the problem as a standard constrained optimization problem applying a Lagrange minimization method available in a commecial program package, it was found that optimum could in most cases be located through an iterative process. Only in cases where the saving potential was very small, the method failed. (AB) 58 refs.}
place = {Denmark}
year = {1991}
month = {Sep}
}
title = {Dynamic modelling and operational optimization of district heating systems}
author = {Benonysson, A}
abstractNote = {This study deals with the developing and testing of methods for dynamic simulation and operational optimization of district heating systems. The performance of a number of models for simulating or predicting the heat load of consumers on a substation level was investigated through regression analysis, estimating the constants of the models on the basis of measured data. It was found that if the value of the most important climate variables were known, then the heat load could be simulated or predicted with reasonable accuracy in several ways, the actual purpose of it`s application being decisive for selection of model category. If the consumers` real supply temperature was known, then the return temperature could be estimated with accuracy on the basis of a linear combination of the heat load and the supply temperature only. For dynamic simulation of transient temperatures a new method was much faster and more accurate than the conventional method, and it was found capable of simulating transient temperatures in a district heating network built up of preinsulated pipes. One method for searching for optimum by comparing series of simulations, and another optimization based on determining the time delays and the temperature drop in the network iteratively by applying a standard optimization method for constrained problems were discussed. When formulating the problem as a standard constrained optimization problem applying a Lagrange minimization method available in a commecial program package, it was found that optimum could in most cases be located through an iterative process. Only in cases where the saving potential was very small, the method failed. (AB) 58 refs.}
place = {Denmark}
year = {1991}
month = {Sep}
}