[go: up one dir, main page]

Kneifel et al., 2016 - Google Patents

Energy performance sensitivity of a net-zero energy home to design and use specifications

Kneifel et al., 2016

View PDF
Document ID
304262407677655844
Author
Kneifel J
Healy W
Filliben J
Boyd M
Publication year
Publication venue
Journal of Building Performance Simulation

External Links

Snippet

The purpose of this report is to test the sensitivity of the energy performance of the National Institute of Standards and Technology (NIST)'s Net Zero Energy Residential Test Facility (NZERTF) design to variation in the assumed specifications of occupant behaviour and …
Continue reading at www.academia.edu (PDF) (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
    • 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
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting

Similar Documents

Publication Publication Date Title
Carpino et al. Energy performance gap of a nearly Zero Energy Building (nZEB) in Denmark: The influence of occupancy modelling
van den Brom et al. Performance gaps in energy consumption: household groups and building characteristics
Gaetani et al. Estimating the influence of occupant behavior on building heating and cooling energy in one simulation run
Zhao et al. Interaction effects of building technology and resident behavior on energy consumption in residential buildings
Rhodes et al. Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage
Haldi et al. The impact of occupants' behaviour on building energy demand
De Coninck et al. Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods
Daniel et al. House energy rating schemes and low energy dwellings: The impact of occupant behaviours in Australia
Swan et al. Hybrid residential end-use energy and greenhouse gas emissions model–development and verification for Canada
Mora et al. Energy consumption of residential buildings and occupancy profiles. A case study in Mediterranean climatic conditions
Panão et al. Modelling aggregate hourly electricity consumption based on bottom-up building stock
Glasgo et al. Assessing the value of information in residential building simulation: Comparing simulated and actual building loads at the circuit level
Gomes et al. Retrofit measures evaluation considering thermal comfort using building energy simulation: two Lisbon households
Gupta et al. Evaluating the ‘as-built’performance of an eco-housing development in the UK
Protopapadaki et al. Bottom-up modelling of the Belgian residential building stock: impact of building stock descriptions
Kneifel et al. Energy performance sensitivity of a net-zero energy home to design and use specifications
Kandil et al. Signature analysis calibration of a school energy model using hourly data
Zhang et al. Occupancy behaviour and patterns: Impact on energy consumption of high-rise households in southeast China
Mihai et al. Bottom-up evidence-based calibration of the HVAC air-side loop of a building energy model
Shamsi et al. A generalization approach for reduced order modelling of commercial buildings
Hu Risk-conscious design of off-grid solar energy houses
Wang et al. Quantitative method and influencing factors analysis of demand response performance of air conditioning load with rebound effect
Kwak et al. Management of cooling energy through building controls for thermal comfort and relative performance in an office building
Glasgo et al. Simulating a residential building stock to support regional efficiency policy
Giannadakis et al. Energy performance analysis of a passive house building