Equation-based languages – A new paradigm for building energy modeling, simulation and optimization
Abstract
Most of the state-of-the-art building simulation programs implement models in imperative programming languages. This complicates modeling and excludes the use of certain efficient methods for simulation and optimization. In contrast, equation-based modeling languages declare relations among variables, thereby allowing the use of computer algebra to enable much simpler schematic modeling and to generate efficient code for simulation and optimization. We contrast the two approaches in this paper. We explain how such manipulations support new use cases. In the first of two examples, we couple models of the electrical grid, multiple buildings, HVAC systems and controllers to test a controller that adjusts building room temperatures and PV inverter reactive power to maintain power quality. In the second example, we contrast the computing time for solving an optimal control problem for a room-level model predictive controller with and without symbolic manipulations. As a result, exploiting the equation-based language led to 2, 200 times faster solution
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1250902
- Alternate Identifier(s):
- OSTI ID: 1254863
- Report Number(s):
- LBNL-1003383
Journal ID: ISSN 0378-7788; ir:1003383
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy and Buildings
- Additional Journal Information:
- Journal Volume: 117; Journal Issue: C; Journal ID: ISSN 0378-7788
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; equation-based modeling; modelica; multi-physics simulation; smart grid; optimal control
Citation Formats
Wetter, Michael, Bonvini, Marco, and Nouidui, Thierry S. Equation-based languages – A new paradigm for building energy modeling, simulation and optimization. United States: N. p., 2016.
Web. doi:10.1016/j.enbuild.2015.10.017.
Wetter, Michael, Bonvini, Marco, & Nouidui, Thierry S. Equation-based languages – A new paradigm for building energy modeling, simulation and optimization. United States. https://doi.org/10.1016/j.enbuild.2015.10.017
Wetter, Michael, Bonvini, Marco, and Nouidui, Thierry S. Fri .
"Equation-based languages – A new paradigm for building energy modeling, simulation and optimization". United States. https://doi.org/10.1016/j.enbuild.2015.10.017. https://www.osti.gov/servlets/purl/1250902.
@article{osti_1250902,
title = {Equation-based languages – A new paradigm for building energy modeling, simulation and optimization},
author = {Wetter, Michael and Bonvini, Marco and Nouidui, Thierry S.},
abstractNote = {Most of the state-of-the-art building simulation programs implement models in imperative programming languages. This complicates modeling and excludes the use of certain efficient methods for simulation and optimization. In contrast, equation-based modeling languages declare relations among variables, thereby allowing the use of computer algebra to enable much simpler schematic modeling and to generate efficient code for simulation and optimization. We contrast the two approaches in this paper. We explain how such manipulations support new use cases. In the first of two examples, we couple models of the electrical grid, multiple buildings, HVAC systems and controllers to test a controller that adjusts building room temperatures and PV inverter reactive power to maintain power quality. In the second example, we contrast the computing time for solving an optimal control problem for a room-level model predictive controller with and without symbolic manipulations. As a result, exploiting the equation-based language led to 2, 200 times faster solution},
doi = {10.1016/j.enbuild.2015.10.017},
journal = {Energy and Buildings},
number = C,
volume = 117,
place = {United States},
year = {Fri Apr 01 00:00:00 EDT 2016},
month = {Fri Apr 01 00:00:00 EDT 2016}
}
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