[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Mahdavi, 2001 - Google Patents

Simulation-based control of building systems operation

Mahdavi, 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 …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems 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