Engineering · Selected work

EnergyPlus Building-Performance Analysis

A staged EnergyPlus study of a DOE small-office model, testing simulation settings, envelope assemblies, lighting, shading, and HVAC alternatives.

Period
2022
Status
Individual building-energy systems project
Perspectives
Engineering · Research

30-second case brief

Question, responsibility, method, result.

Question
A staged EnergyPlus study of a DOE small-office model, testing simulation settings, envelope assemblies, lighting, shading, and HVAC alternatives.
Responsibility
EnergyPlus model audit, envelope optimization, HVAC comparison, sensitivity testing, and reporting
Methods
Albuquerque office-building case
Result
363.95 to 288.14 GJ modeled total · 20.8% reduction across the documented sequence
Envelope, internal loads, HVAC systems, and iterative optimization are coordinated within one traceable EnergyPlus workflow.

Project scope and responsibility

Context
AE 551 Building Energy Systems · Drexel University · Instructor: Dr. Jin Wen
Role
EnergyPlus model audit, envelope optimization, HVAC comparison, sensitivity testing, and reporting
Model
Albuquerque office-building case
Sequence
Envelope · infiltration · lighting · shading · orientation · HVAC
Systems
PTAC and VAV sensitivity and optimization
Modeled sequence
363.95 to 288.14 GJ total end use · 20.8% reduction
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Overview

This individual course project audited and improved an EnergyPlus office-building model for Albuquerque, New Mexico. The work treated optimization as a traceable sequence rather than a single end-state claim, testing the envelope, infiltration, lighting, shading, orientation, and HVAC assumptions in turn.

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Envelope and load reduction

Insulation, glazing, infiltration, efficient lighting, and shading were evaluated step by step. In the documented model sequence, total end use falls from 363.95 GJ at baseline to 288.14 GJ after the selected measures, a 20.8 percent reduction. End-use breakdowns also reveal interactions: a measure may reduce heating or lighting while increasing cooling, so each decision is assessed across the complete energy balance. These are model-specific results, not measured building performance.

The final report tracks the cumulative effect of envelope and load-reduction measures by end use.
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03 / 04

PTAC sensitivity and optimization

The PTAC analysis varied cooling-coil COP, supply-air temperature, fan performance, and other system inputs. The final report records both the selected values and cases where a nominal efficiency improvement produced an unfavorable trade-off elsewhere.

PTAC sensitivity tests show which parameter changes reduce total use and which merely shift heating and cooling demand.
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VAV sensitivity and optimization

The VAV analysis repeats the same disciplined comparison for central-system parameters, including supply-fan efficiency and cooling design setpoints. Results remain specific to the model, weather file, schedules, and system assumptions documented in the report.

VAV optimization compares fan efficiency and cooling-setpoint changes while preserving end-use breakdowns.
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