## Optimizing operation costs of the heating system of a household using model predictive control considering a local PV installation

Publication: Research - peer-review › Article in proceedings – Annual report year: 2012

### Standard

**Optimizing operation costs of the heating system of a household using model predictive control considering a local PV installation.** / Koch-Ciobotaru, Cosmin; Isleifsson, Fridrik Rafn; Gehrke, Oliver.

Publication: Research - peer-review › Article in proceedings – Annual report year: 2012

### Harvard

*SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications.*SciTePress, pp. 431-436.

### APA

*SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications*(pp. 431-436). SciTePress.

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### MLA

*SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications.*SciTePress. 2012. 431-436.

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### Author

### Bibtex

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### RIS

TY - GEN

T1 - Optimizing operation costs of the heating system of a household using model predictive control considering a local PV installation

AU - Koch-Ciobotaru,Cosmin

AU - Isleifsson,Fridrik Rafn

AU - Gehrke,Oliver

PY - 2012

Y1 - 2012

N2 - This paper presents a model predictive controller developed in order to minimize the cost of grid energy consumption and maximize the amount of energy consumed from a local photovoltaic (PV) installation. The usage of as much locally produced renewable energy sources (RES) as possible, diminishes the effects of their large penetration in the distribution grid and reduces overloading the grid capacity, which is an increasing problem for the power system. The controller uses 24 hour prediction data for the ambient temperature, the solar irradiance, and for the PV output power. Simulation results of a thermostatic controller, a MPC with grid price optimization, and the proposed MPC are presented and discussed.

AB - This paper presents a model predictive controller developed in order to minimize the cost of grid energy consumption and maximize the amount of energy consumed from a local photovoltaic (PV) installation. The usage of as much locally produced renewable energy sources (RES) as possible, diminishes the effects of their large penetration in the distribution grid and reduces overloading the grid capacity, which is an increasing problem for the power system. The controller uses 24 hour prediction data for the ambient temperature, the solar irradiance, and for the PV output power. Simulation results of a thermostatic controller, a MPC with grid price optimization, and the proposed MPC are presented and discussed.

KW - Costs

KW - Energy utilization

KW - Heat storage

KW - Heating

KW - Heating equipment

KW - Model predictive control

KW - Optimization

KW - Renewable energy resources

KW - Predictive control systems

M3 - Article in proceedings

SN - 9789898565204

SP - 431

EP - 436

BT - SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications

PB - SciTePress

ER -