Mahdavi, 2001 - Google Patents
Simulation-based control of building systems operationMahdavi, 2001
- Document ID
- 6022515514686291395
- Author
- Mahdavi A
- Publication year
- Publication venue
- Building and Environment
External Links
Snippet
Building performance simulation research has traditionally concentrated on the building design phase. However, computational modeling can also apply to the building operation phase. To explore this potential, we (a) describe the model-based building systems control …
- 238000004088 simulation 0 title abstract description 37
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mahdavi | Simulation-based control of building systems operation | |
Wagiman et al. | Lighting system control techniques in commercial buildings: Current trends and future directions | |
Kim et al. | A multi-objective optimization approach for climate-adaptive building envelope design using parametric behavior maps | |
Yan et al. | Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms | |
Kolokotsa et al. | Implementation of an integrated indoor environment and energy management system | |
Coffey et al. | A software framework for model predictive control with GenOpt | |
Brown et al. | Design for structural and energy performance of long span buildings using geometric multi-objective optimization | |
Yang et al. | Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems | |
Al-Homoud | Computer-aided building energy analysis techniques | |
Kolokotsa et al. | Predictive control techniques for energy and indoor environmental quality management in buildings | |
Baldi et al. | Model-based and model-free “plug-and-play” building energy efficient control | |
Caldas et al. | A design optimization tool based on a genetic algorithm | |
Gonçalves et al. | One step forward toward smart city Utopia: Smart building energy management based on adaptive surrogate modelling | |
Dussault et al. | Reduced energy consumption and enhanced comfort with smart windows: Comparison between quasi-optimal, predictive and rule-based control strategies | |
Tien et al. | Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand | |
Garcia et al. | BIM-oriented data mining for thermal performance of prefabricated buildings | |
He et al. | The combination of digital technology and architectural design to develop a process for enhancing energy-saving: The case of Maanshan China | |
Chang et al. | A hybrid system for daylight responsive lighting control | |
Han et al. | A performance-based urban block generative design using deep reinforcement learning and computer vision | |
Keskar et al. | Assessing the performance of global thermostat adjustment in commercial buildings for load shifting demand response | |
Chen et al. | Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning | |
Foley | Challenges and opportunities in engineered retrofits of buildings for improved energy efficiency and habitability | |
El-Mowafy et al. | Evaluating adaptive facade performance in early building design stage: an integrated daylighting simulation and machine learning | |
Carlucci et al. | Energy flexibility of building systems in future scenarios: optimization of the control strategy of a dynamic shading system and definition of a new energy flexibility metric | |
Ray et al. | The influencing factors on efficacy enhancement of HVAC systems–A review |