# Model predictive control of heating and cooling in a family house

@article{Vaak2011ModelPC, title={Model predictive control of heating and cooling in a family house}, author={Mario Va{\vs}ak and Antonio Starcic and Anita Martincevic}, journal={2011 Proceedings of the 34th International Convention MIPRO}, year={2011}, pages={739-743} }

The majority of energy, approximately 40% of total energy usage, is today spent in buildings. The largest energy consuming subsystem in a building is heating, ventilation and air conditioning (HVAC) system. In this work we focus on efficient energy usage for heating and cooling in a simple house that consists of three rooms. We use model predictive control to fully take into account the current thermal conditions in the house and the 24-hours-ahead weather forecast. The controller commands…

## 34 Citations

Model predictive control for energy-saving and comfortable temperature control in buildings

- Engineering, Computer Science2016 24th Mediterranean Conference on Control and Automation (MED)
- 2016

A novel formulation of the model predictive temperature control problem in buildings and its fair comparison with conventional controllers with the same level of flexibility allowed in zone temperature control are given.

Control of temperature and energy consumption in buildings - a review.

- Engineering
- 2014

Building sector is one of the largest energy consumers in the world and currently it utilizes 40% of the total energy in the European Union. At the beginning of the article, energy crisis related to…

State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

- Computer Science
- 2021

Occupancy Sensing and Prediction for Automated Energy Savings

- Engineering
- 2015

The ability to sense and predict occupancy – i.e. to establish when the residents are and will be in a building – represents a basic requirement for the energy-efficient operation of many building…

Comfort control in buildings with adherence to the required thermal energy input in zones

- Engineering, Computer Science2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
- 2017

The presented approach is substantially different to the generally accepted temperature control via local reactive control that only uses local measurements in deciding the control actions for zones thermal actuators.

Thermal Model of a House using Electric Circuits Analogy

- Computer ScienceSMARTGREENS
- 2021

A thermal model of a house is produced using electrical circuit analogy which gives information about indoor temperatures and power consumption of electrical heater in each room of the house and estimates peak consumption for improving its reduction.

A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling/Heating Systems

- Mathematics, Computer ScienceIEEE Transactions on Automation Science and Engineering
- 2016

This work integrates a physics-based model with a data driven time-series model to forecast and optimally manage building energy and can be implemented in commercial smart energy boxes to optimally control total daily energy-use costs.

Distributed model predictive control for thermal house comfort with auction of available energy

- Engineering2012 International Conference on Smart Grid Technology, Economics and Policies (SG-TEP)
- 2012

This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that simultaneously optimizes the consumption of a limited shared energy resource. The control objective…

Multi-level optimal control of a microgrid-supplied cooling system in a building

- Engineering, Computer Science2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
- 2016

Microgrid energy storages and the proposed control method fully exploit possibilities of dynamic pricing and greatly reduce cooling system operation costs while ensuring the high level of user comfort.

Title A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling / Heating Systems Permalink

- 2016

This work integrates a physics-based model with a data driven time-series model to forecast and optimally manage building energy. Physical characterization of the building is partially captured by a…

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