Accounting free gains in a non-residential building by means of an optimal stochastic controller

Oestreicher, Y.; Bauer, Manuel; Scartezzini, J.-L.

doi:10.1016/s0378-7788(96)00980-2

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…Prud'homme and Gillet [1] segmented the auxiliary heater in a solar kit and developed an advanced control strategy that led to improvements in terms of comfort and energy consumption. Oestreicher, Bauer and Scartezzini [2] developed and installed a prototype predictive controller in a non-residential building where solar and free gains supply more than 50 % of its heating energy during winter. The controller determines the heat to supply for the next hour in order to optimize comfort and minimize energy consumption over a 24-hour period.…”

Section: An Optimal Control Approach For Determination Of the Heat Lomentioning

confidence: 99%

An optimal control approach for determination of the heat loss coefficient in a domestic water heating system

Gil

Haralambous

et al. 2010

Proceedings of the 2010 American Control Conference

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Integral collector storage (ICS) solar domestic water heating systems are an alternative to help meet the hot water energy demands in a household. In order to evaluate the potential benefits and contributions from the system, it is important to be certain that the modeling scheme is as accurate as possible. The overall heat loss coefficient (U loss ) plays an important roll in such a scheme and in the performance prediction methodology of the ICS. This paper presents the results of an investigation of the application of optimal control theory to find how U loss varies with time, for a particular nonconcentrating ICS system. The time-varying U loss obtained was used in a proposed model, and the resulting simulated ICS performance was compared to the real measured performance and the simulated case when U loss was time-invariant. After comparison, it was determined that the use of a time-varying U loss in the modeling scheme significantly improves the ICS performance prediction.

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Section: An Optimal Control Approach For Determination Of the Heat Lomentioning

confidence: 99%

An optimal control approach for determination of the heat loss coefficient in a domestic water heating system

Gil

Haralambous

et al. 2010

Proceedings of the 2010 American Control Conference

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A rapid PDE-based optimization methodology for temperature control and other mixed stochastic and deterministic systems

Howell

Johnson

Duck

2011

Energy and Buildings

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Advanced control strategy of a solar domestic hot water system with a segmented auxiliary heater

Prud’homme

Gillet

2001

Energy and Buildings

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Accounting free gains in a non-residential building by means of an optimal stochastic controller

Cited by 7 publications

References 4 publications

An optimal control approach for determination of the heat loss coefficient in a domestic water heating system

An optimal control approach for determination of the heat loss coefficient in a domestic water heating system

A rapid PDE-based optimization methodology for temperature control and other mixed stochastic and deterministic systems

Advanced control strategy of a solar domestic hot water system with a segmented auxiliary heater

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