[go: up one dir, main page]

Snyder et al., 2015 - Google Patents

Calibrated building energy simulation in practice: issues, approaches, and case study example

Snyder et al., 2015

Document ID
9740745857333829988
Author
Snyder S
Itzhak Maor PhD P
Publication year
Publication venue
ASHRAE Transactions

External Links

Snippet

Building energy simulation is a powerful tool for architects and engineers to utilize in both new building design and in evaluating the performance of existing buildings. Considering that the buildings sector is responsible for approximately 40% of total US energy …
Continue reading at search.proquest.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety systems or apparatus
    • F24F11/0009—Electrical control or safety systems or apparatus
    • F24F11/0086—Control systems or circuits characterised by other control features, e.g. display or monitoring devices
    • F24F2011/0091—Display or monitoring devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/08—Construction

Similar Documents

Publication Publication Date Title
Heo et al. Calibration of building energy models for retrofit analysis under uncertainty
Li et al. Methods for benchmarking building energy consumption against its past or intended performance: An overview
Fumo A review on the basics of building energy estimation
Yang et al. An automated optimization method for calibrating building energy simulation models with measured data: Orientation and a case study
Yin et al. Linking measurements and models in commercial buildings: A case study for model calibration and demand response strategy evaluation
Im et al. Empirical validation of building energy modeling for multi-zones commercial buildings in cooling season
Abdelalim et al. Data visualization and analysis of energy flow on a multi-zone building scale
Solmaz A critical review on building performance simulation tools
Corrado et al. Steady-state and dynamic codes, critical review, advantages and disadvantages, accuracy, and reliability
Wang Accuracy, validity and relevance of probabilistic building energy models
Li et al. A novel concept to measure envelope thermal transmittance and air infiltration using a combined simulation and experimental approach
Asaee et al. Application of a housing technology assessment simulation platform in regulation R&D
Deng et al. Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction
Bjørnskov et al. Component-level re-commissioning of a newly retrofitted Danish healthcare building
Monfet et al. Calibration of a Building Energy Model Using Measured Data.
Snyder et al. Calibrated building energy simulation in practice: issues, approaches, and case study example
Bertagnolio et al. Evidence-based calibration of a building energy simulation model: Application to an office building in Belgium
Abdo-Allah et al. Energy consumption analysis of a large building at memorial university
Maile et al. A method to compare measured and simulated data to assess building energy performance
Mihai Calibration of a Building Energy Model Using Measured Data for a Research Center
Österbring et al. A methodology for spatial modelling of energy and resource use of buildings in urbanized areas
Yilmaz An automated building energy model calibration workflow to improve indoor climate controls
Azar et al. Quantifying the impact of uncertainty in human actions on the energy performance of educational buildings
Xu Assessing the minimum instrumentation to well tune existing medium sized office building energy models
Tuniki et al. A Comparative Case Study Approach: Identifying the Discrepancy between Energy Performance Results