Optimal control of auxiliary heating of passive-solar-heated buildings

Winn, Robert C.; Wins, C. Byron

doi:10.1016/0038-092x(85)90131-8

Cited by 14 publications

(3 citation statements)

References 4 publications

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“…MPC is an optimal control strategy that employs a mathematical model of the system to solve a constrained optimization problem and estimates the optimal set of future actions which minimizes (maximizes) a certain objective function with regards to weather forecast and price of energy. Constraints of the problem include the physical limitations of the system and occupants' comfort (Winn & Wins, 1985;Kintner-Meyer & Emery, 1995;Henze et al, 2005;.…”

Section: Model Predictive Control (Mpc)mentioning

confidence: 99%

Control-oriented thermal network models for predictive load management in Canadian houses with on-Site solar electricity generation: application to a research house

Abtahi

Athienitis

Delcroix

2021

Journal of Building Performance Simulation

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This study presents a methodology to develop suitable control-oriented thermal RC network models for optimized HVAC load management in typical electrically heated single-family detached houses. Using recurring parameter identification and model-reset, the building dynamics are represented by an explicit discrete time-varying state-space formulation.Next, these models are applied in a predictive control framework in which the objective is to enhance energy efficiency and energy flexibility of the building by prioritizing the import from the most efficient energy source(s), storing energy in the building's thermal mass and/or a battery, and shifting the HVAC load to lower the stress on the local grid.Finally, the benefits of predictive control strategies for HVAC load management, both for the building owners and the local grid, are studied through a seasonal simulation where the performance of the building subject to a reference reactive controller and a predictive

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Section: Model Predictive Control (Mpc)mentioning

confidence: 99%

Control-oriented thermal network models for predictive load management in Canadian houses with on-Site solar electricity generation: application to a research house

Abtahi

Athienitis

Delcroix

2021

Journal of Building Performance Simulation

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“…The optimal use of auxiliary heat input can be determined using a dynamic optimization technique [1,6,7,8]. The technique used in this effort is the maximum principle.…”

Section: L-8mentioning

confidence: 99%

System Integration of Distributed Power for Complete Building Systems: Phase 2 Report

Kramer¹

2003

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Distributed energy resources hold great potential for meeting future energy needs. This is especially true when aspects of sustainable development and environmental compatibility are considered. Currently there are many distributed generation (DG) sources in operation, primarily for standby or emergency purposes. DG devices tend to have higher proportionate capital costs and lower efficiencies when compared to central stations for the production of electricity. However, when operated in an optimized combined heat and power (CHP) mode these devices provide many operational and economic advantages over conventional energy supply options. This paper describes CHP applications at two commercial buildings and NiSource Energy Technologies, Inc. efforts to optimize the system operation and maximize the benefits of DG through advanced control systems incorporating artificial intelligence.

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“…The storage system can handle simultaneously electric and solar energy. However, when it was tested over long periods of time, conflicting situations arose between both forms of energy yielding, in some cases, overheating of the living space and/or poor thermal performance of the system [1][2][3][4].…”

Section: Introductionmentioning

confidence: 98%