Review of building energy modeling for control and operation

  title={Review of building energy modeling for control and operation},
  author={Xiwang Li and Jin Wen},
  journal={Renewable \& Sustainable Energy Reviews},
  • Xiwang Li, Jin Wen
  • Published 1 September 2014
  • Engineering
  • Renewable & Sustainable Energy Reviews

A Building Energy Management System Based on an Equivalent Electric Circuit Model

A BEMS for a smart building, equipped with plants based on renewables (photovoltaics, solar thermal panels, and geothermal heat pump), where the heating and cooling demand are satisfied by a Heating, Ventilation and Air Conditioning System (HVAC) fed by a geothermalHeat pump.

Net-zero energy building clusters emulator for energy planning and operation evaluation

An Optimization-Based Supervisory Control and Coordination Approach for Solar-Load Balancing in Building Energy Management

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Predictive Control of Buildings for Demand Response and Ancillary Services Provision

This thesis develops optimization based techniques for the control of building heating, ventilation, and air-conditioning (HVAC) systems for the provision of demand response and ancillary services to

An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings

The most applied HRES solutions in the residential sector are presented, and integration of HRES with thermal and electrical loads in residential buildings connected to external multiple energy grids is investigated, focusing on the potentialities that functional integration can offer in terms of flexibility services to the energy grids.



Model Predictive Control for the Operation of Building Cooling Systems

This brief addresses real-time implementation and feasibility issues of the MPC scheme by using a simplified hybrid model of the system, a periodic robust invariant set as terminal constraints, and a moving window blocking strategy.

Building energy model reduction for model predictive control using OpenStudio

This paper demonstrates simple reduction of building models using the OpenStudio analysis framework in a script-based environment and creates a reduced-order model and an economic-based model predictive controller that is used to minimize summertime cooling costs in an electricity market with real-time pricing.

Decentralized operation strategies for an integrated building energy system using a memetic algorithm

Building models for model predictive control of office buildings with concrete core activation

Model predictive control (MPC) is a good candidate to exploit the energy cost savings potential of concrete core activation (CCA), while guaranteeing thermal comfort. A bottleneck for practical

Model predictive control of building energy systems with balanced model reduction

The purpose of model reduction is to simplify the model structure while preserving the major input-output relations, so as to lower the computational cost in the subsequent model predictive control (MPC) scheme.