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Building performance

Energy modelling for informed design decisions

Hourly dynamic simulation, compliance modelling and parametric analysis supporting HVAC system selection, envelope optimisation and certification pathway verification.

Service scope

Energy modelling at SEINZEN uses dynamic thermal simulation to predict building energy performance before system selection and envelope design are fixed. Models are constructed from architectural geometry, proposed MEP systems and climate data to generate hourly load profiles, annual energy consumption and peak demand estimates.

Compliance modelling supports ASHRAE 90.1 Appendix G, EN ISO 52000, SBEM and project-specific certification pathways including LEED, BREEAM and local authority requirements. Baseline and proposed models are developed with documented assumptions traceable to design team inputs.

Parametric analysis evaluates design alternatives — glazing specification, insulation levels, HVAC system types and renewable integration — with results presented as comparative reports supporting design team decision-making. Uncertainty in inputs is acknowledged with sensitivity analysis where appropriate.

Model outputs inform HVAC equipment sizing, central plant capacity, utility connection requirements and lifecycle cost comparisons. Results are integrated with architectural and MEP design teams through documented review sessions.

Key engineering capabilities

  • Dynamic thermal simulation

    Hourly energy models using IES VE, EnergyPlus or DesignBuilder with validated geometry and system inputs.

  • Compliance modelling

    ASHRAE 90.1, Part L, EN ISO 52000 and local authority compliance models with baseline comparison.

  • HVAC load profiling

    Heating, cooling and ventilation load profiles for equipment sizing and central plant capacity.

  • Parametric design analysis

    Alternative scenario modelling for envelope, system and renewable options with comparative reporting.

  • Certification pathway modelling

    LEED, BREEAM and WELL energy credit modelling with documented credit achievement verification.

  • Renewable energy assessment

    Solar PV, solar thermal and ground-source heat pump yield modelling for integration studies.

  • Utility demand profiling

    Peak demand and annual consumption estimates for utility connection and tariff assessment.

  • Lifecycle cost integration

    Energy model outputs linked to capital and operational cost comparison for system selection.

  • Design team integration

    Model review sessions with architectural and MEP teams to translate results into design decisions.

Design and delivery methodology

  1. 01

    Modelling scope agreement

    Simulation objectives, compliance targets, software selection and input data requirements agreed at project outset.

  2. 02

    Baseline model development

    Architectural geometry, envelope properties and baseline systems modelled per compliance protocol.

  3. 03

    Proposed design modelling

    Design team inputs incorporated with HVAC systems, lighting and renewables represented per current design.

  4. 04

    Compliance verification

    Baseline comparison, credit achievement and authority submission documentation prepared.

  5. 05

    Parametric analysis

    Design alternative scenarios modelled with comparative results supporting optimisation decisions.

  6. 06

    Design integration

    Load profiles and energy results communicated to MEP team for equipment sizing and system confirmation.

Technical design criteria

  • Simulation engine selection

    EnergyPlus, IES VE Apache or DesignBuilder selection based on project complexity and compliance requirements.

  • Weather file selection

    TMY, TRY or IWEC climate files matched to project location with future climate scenario consideration.

  • Envelope thermal properties

    U-values, SHGC, thermal mass and infiltration rates from architectural specifications and test data.

  • Internal gain profiles

    Occupancy, lighting, equipment and metabolic gains scheduled per space type and operating hours.

  • HVAC system representation

    Ideal loads, detailed system templates or custom equipment models depending on analysis objective.

  • Baseline model protocol

    ASHRAE 90.1 Appendix G or EN ISO 52000 baseline rules applied consistently for compliance comparison.

  • Renewable system modelling

    PV array orientation, inverter efficiency and grid export assumptions for on-site generation assessment.

  • Uncertainty and sensitivity

    Input parameter sensitivity analysis identifying variables with greatest impact on results.

  • Peak load vs annual energy

    Distinction between peak demand for equipment sizing and annual consumption for operational cost.

  • Natural ventilation modelling

    Mixed-mode and passive ventilation strategies with airflow network or CONTAM integration.

Engineering principles and calculation approaches

  • EUI = E_total / A_floor

    Variables

    EUI = energy use intensity (kWh/m²·yr); E_total = annual energy consumption (kWh); A_floor = conditioned floor area (m²)

    Application

    Building energy performance benchmarking against certification targets and code limits.

    Notes

    Separate fuel types by source energy or convert to equivalent primary energy per compliance protocol.

  • Savings = (E_baseline − E_proposed) / E_baseline × 100

    Variables

    Savings = percentage energy savings (%); E_baseline = baseline model consumption; E_proposed = proposed design consumption

    Application

    Compliance margin calculation for ASHRAE 90.1 and similar performance-based codes.

    Notes

    Apply protocol-specific baseline rules; document all credit-eligible measures.

  • Q_peak = Σ(Q_envelope + Q_internal + Q_solar + Q_ventilation)

    Variables

    Q_peak = peak cooling load (kW); components = envelope, internal, solar and ventilation gains

    Application

    Peak load verification from dynamic simulation against steady-state load calculations.

    Notes

    Dynamic peaks may differ from design-day steady-state; use simulation output for equipment sizing confirmation.

  • PV_yield = A_panel × G × η_panel × PR

    Variables

    PV_yield = annual generation (kWh); A_panel = array area (m²); G = annual irradiance (kWh/m²); η_panel = module efficiency; PR = performance ratio

    Application

    On-site solar PV generation estimation for renewable energy credit and utility offset.

    Notes

    Apply shading, soiling and temperature derating in performance ratio.

  • LCC = C_capital + Σ(C_energy / (1+r)^t)

    Variables

    LCC = lifecycle cost; C_capital = initial cost; C_energy = annual energy cost; r = discount rate; t = year

    Application

    Lifecycle cost comparison of design alternatives using energy model consumption outputs.

    Notes

    Include maintenance, replacement and escalation factors per project financial parameters.

Final design values must be determined using project-specific inputs, applicable standards, manufacturer data and engineering judgement.

BIM, Revit and integrated design

  • Architectural and MEP Revit models provide geometry and spatial data for energy model construction through gbXML export or direct integration.

  • Space boundaries, zone assignments and internal load data are extracted from BIM models with manual verification against design team inputs.

  • Model iteration tracks design changes with updated simulation runs comparing results against previous milestones.

  • Energy model assumptions and results are documented in project information delivery plans aligned to ISO 19650 data requirements.

International standards and codes

ASHRAE 90.1

Standard

Energy Standard for Buildings

Application area

US energy compliance

Project relevance

Appendix G performance rating method for beyond-code compliance demonstration.

ASHRAE 209

Standard

Energy Simulation Aided Design

Application area

Simulation process

Project relevance

Standardised energy modelling process from early design through operation.

ISO 52000

Standard

Energy Performance of Buildings

Application area

International energy assessment

Project relevance

Overall energy performance assessment framework and EPB standards series.

EN ISO 52016

Standard

Energy Needs for Heating and Cooling

Application area

European load calculation

Project relevance

Hourly energy needs calculation for heating and cooling.

CIBSE TM54

Standard

Evaluating Operational Energy Performance

Application area

Operational energy

Project relevance

Bridging design-stage modelling with operational performance verification.

LEED v4.1

Standard

Energy and Atmosphere Credits

Application area

Certification

Project relevance

Optimise energy performance credit modelling requirements.

BREEAM Ene 01

Standard

Energy Performance Credit

Application area

Certification

Project relevance

EPC comparison and energy performance benchmarking for BREEAM assessment.

Part L (UK)

Standard

Conservation of Fuel and Power

Application area

UK building regulations

Project relevance

SBEM and dynamic simulation compliance for UK new-build and refurbishment.

ASHRAE 140

Standard

Standard Method of Test for Energy Analysis Computer Programs

Application area

Software validation

Project relevance

Bestest validation cases for simulation software accuracy verification.

IPMVP

Standard

International Performance Measurement and Verification Protocol

Application area

M&V

Project relevance

Measurement and verification framework linking design models to operational performance.

Climate Action Planning Standards

Standard

Local Authority Requirements

Application area

Planning compliance

Project relevance

Energy strategy and carbon reduction targets for planning submission.

ASHRAE 100

Standard

Energy Efficiency in Existing Buildings

Application area

Retrofit assessment

Project relevance

Energy audit and improvement assessment for existing building projects.

Applicable standards depend on the project location, building use, authority having jurisdiction, employer requirements and contract documents. The current adopted edition must be confirmed at the beginning of each project.

Project deliverables and documentation

  • Energy modelling scope report

    Simulation objectives, software, inputs and compliance targets documented.

  • Baseline energy model

    Compliance baseline model per applicable protocol with documented assumptions.

  • Proposed design energy model

    Design team model with current architectural and MEP system inputs.

  • Compliance report

    Baseline comparison results with savings percentage and credit achievement summary.

  • Load profile reports

    Hourly heating, cooling and ventilation load profiles for equipment sizing.

  • Parametric analysis report

    Design alternative comparison with energy, cost and comfort trade-off analysis.

  • EUI and benchmarking summary

    Energy use intensity comparison against certification targets and sector benchmarks.

  • Renewable energy assessment

    On-site generation yield estimates and grid offset calculations.

  • Certification submission support

    Documentation formatted for LEED, BREEAM or authority submission requirements.

  • Design team presentation

    Results summary with recommendations for design integration decisions.

  • Sensitivity analysis

    Input parameter impact assessment identifying critical design variables.

  • Model input/output archive

    Complete model files, input data and results for audit and future reference.

Quality control and verification

  • Model inputs independently reviewed against architectural and MEP design documentation.

  • Baseline model verified against compliance protocol rules before proposed model comparison.

  • Simulation software version and weather file documented for reproducibility.

  • Results cross-checked against steady-state load calculations for peak load consistency.

  • Parametric analysis scenarios reviewed with design team before report issue.

  • Certification submission documents verified against current credit requirement versions.

Applicable project types

  • Commercial towers targeting LEED or BREEAM certification with performance-based compliance.

  • Mixed-use developments requiring planning authority energy strategy submission.

  • Healthcare and laboratory buildings with high ventilation loads and 24-hour operation profiles.

  • Data centres with continuous cooling load and PUE optimisation requirements.

  • Retrofit projects assessing improvement measures against operational baseline consumption.

  • Educational campuses with varied building types and central plant optimisation studies.

Frequently asked questions

  • When should energy modelling begin in the design process?

    Concept-stage modelling supports early system and envelope decisions. Compliance modelling typically requires schematic design inputs. ASHRAE 209 defines modelling stages from early design through operation.

  • What simulation software is used for energy modelling?

    IES Virtual Environment, EnergyPlus and DesignBuilder are used depending on project requirements and compliance protocol. Software selection is agreed at modelling scope stage.

  • How do energy model results inform HVAC equipment sizing?

    Hourly load profiles from dynamic simulation provide peak and part-load data for chiller, boiler and AHU sizing. Results are compared with steady-state load calculations and discrepancies investigated.

  • Can energy modelling support planning authority submissions?

    Energy strategy reports, EUI benchmarks and carbon reduction demonstrations are prepared for planning submission where local authority requirements apply.

  • What is the difference between compliance and design optimisation modelling?

    Compliance modelling follows protocol-specific baseline rules for code or certification verification. Design optimisation modelling evaluates alternatives to inform system and envelope selection without protocol constraints.

Discuss energy modelling scope

Contact our building performance team to review simulation requirements, compliance targets or parametric analysis for your project.