Robert Fassbender's blog

A Faster Workflow For Energy Model Calibration

Posted on: March 11, 2026

Anyone who has calibrated a building energy model for M&V or ASHRAE 14 knows that the real work begins after the first simulation run.
Calibration is rarely a one-and-done process. Instead, it is an iterative workflow where the model is run repeatedly while making small adjustments to assumptions, schedules, equipment efficiencies, or loads. After each run, the results are compared to measured utility data to determine whether the model is moving closer to reality.
In practice, this often means 20 to 30 simulation runs before the model begins to align with the measured data.
The frustrating part is not the modeling itself. It is the repetitive process of extracting results from the simulation output, organizing the monthly values, calculating the comparison metrics, and updating charts to see whether the model improved or got worse.
That repetitive process can consume a surprising amount of time during calibration.

The Iterative Nature of Calibration

A typical calibration cycle looks something like this:
  1. Run the energy model
  2. Extract monthly energy consumption from the output file
  3. Compare the model results to the measured utility bills
  4. Review the charts and calibration metrics
  5. Adjust model assumptions
  6. Run the model again
And repeat.
Each time the model is run, the modeler needs to quickly determine:
  • Did the iteration improve the calibration?
  • Did the model move closer to the utility data?
  • Did a change make things worse?

How a Hidden Default Turned 23 Percent Savings to 30 Percent - chiller savings

Posted on: January 21, 2026

How a Hidden Default Curve Turned Into +7% More Savings (Chiller Curves + Sequencing)

This week I reviewed an energy model that looked fine at first glance.

Reports were clean. 23% Savings looked decent. No obvious red flags.

But once I opened the plant, I found something that shows up more often than most teams realize:

The model was running on a default chiller curve.

And that one “quiet” default turned into a meaningful result once we corrected it — and then took the review one layer deeper.

The Ultimate Pipe Sizing Calculator + 17-Tab Spreadsheet Toolkit

Posted on: September 9, 2025

The Ultimate Pipe Sizing Calculator + 17-Tab Spreadsheet Toolkit

Size pipes faster with Pipe-Sizing Charts in one place, avoid costly mistakes, and design with confidence across HVAC, plumbing, steam, sanitary, storm, and gas systems.

When ComCheck Isn’t Enough: Do You Need an Energy Model Instead?

Posted on: September 8, 2025
When ComCheck Isn’t Enough: Why You Need an Energy Model Instead

When You Need an Energy Model Instead of ComCheck

If you’ve worked on a building project, you’ve probably heard of ComCheck — the free software from the U.S. Department of Energy that helps verify building code compliance. For many small and straightforward projects, it works fine.

When ComCheck Won’t Work: 10 Reasons You Need a Performance Path Energy Model

Posted on: September 8, 2025


If you’ve used ComCheck (DOE’s free prescriptive compliance tool), you know it’s great for simple projects. But the moment your design hits an exception—extra skylights, complex HVAC, mixed uses—ComCheck can’t show the trade-offs you need. That’s when reviewers say: “You’ll need a performance path energy model.”

10 Specific Reasons You Need an Energy Model Instead of ComCheck

  1. Excessive Glazing Area

    If your window-to-wall ratio (WWR) exceeds prescriptive limits, ComCheck fails. A performance model can show that high-performance glazing or other measures keep the building efficient.

  2. Skylight Limits and Daylighting Exceptions

    Skylight area is capped as a percent of roof area. Go over, and ComCheck rejects it—even if daylighting reduces lighting loads. Only a model captures the net effect.

  3. Envelope Trade-Offs

    Want better glass with slightly less opaque insulation (or vice versa)? ComCheck doesn’t allow cross-component trade-offs. A performance model does.

  4. Complex HVAC Systems

    Geothermal heat pumps, VRF, chilled beams, DOAS with energy recovery, and heat recovery chillers are beyond ComCheck. A model is required to represent them accurately.

  5. Mixed-Use / Multi-Occupancy Buildings

    Offices over retail beside labs or residential often break prescriptive category assumptions. Models let you assign systems and loads by zone and use.

How to start energy models faster and cleaner

Posted on: September 5, 2025

Convert Model DXF to eQUEST | Start Energy Models Faster

How to Start an Energy Model from CAD (Without Retracing Floor Plans Twice)

Summary: Create a simplified model DXF with thermal zones, then convert it directly into an eQUEST-ready model with Bim2Sim.com—no second redraw required.

Carbon Accounting for Energy Modelers: Real Case Study with Surprising Results

Posted on: July 28, 2025



“Which saves more carbon—an air-source heat pump or a premium insulation upgrade?”

If you're an energy modeler, you’ve likely faced this question. The answer might surprise you—and the reason why could shape the future of how you model energy projects. (Note that the conclusion will differ depending on the model and the costs!)

🔍 The Case Study: Medical Office in Climate Zone 4

A client wanted to reduce emissions and applied for a state decarbonization grant. They had a $50,000 budget and needed to choose between:

  • Option A: Upgrade to a 16 SEER / 9.0 HSPF heat pump
  • Option B: Upgrade the roof insulation from R-19 to R-40

The goal? Maximize carbon savings per dollar.

🧮 The Energy Model Told One Story

Using eQUEST, we modeled both ECMs:

  • Heat pump saved ~14,800 kWh/year and ~600 therms
  • Insulation saved ~10,200 kWh/year and ~400 therms

Energy savings winner? The heat pump. But then we looked deeper...

🌍 Carbon Accounting Flipped the Results

We used average utility emissions factors:

Carbon ROI: The Metric Every Energy Modeler Needs in Their Toolkit

Posted on: July 28, 2025

Carbon ROI: The Metric Every Energy Modeler Needs in Their Toolkit

Carbon ROI (Return on Investment) is quickly becoming a must-have tool for energy modelers and sustainability consultants. It shifts the conversation from just dollars saved to carbon reduced per dollar spent — and that’s exactly where ESG-focused clients, grant programs, and future codes are heading.

What is Carbon ROI?

Carbon ROI measures how much CO₂e (carbon dioxide equivalent) you eliminate for every $1,000 spent on an energy conservation measure (ECM).

Carbon ROI = (Annual CO₂e Savings in tons ÷ Project Cost in $) × 1,000
  

It tells you how carbon efficient an ECM is, not just how financially efficient it is. And that’s key for high-performance buildings and decarbonization plans.

Example: Heat Pump vs LED Retrofit

Imagine two projects:

  • Heat pump: Saves 10 tons CO₂e/year, costs $8,000
  • LED upgrade: Saves 4 tons CO₂e/year, costs $2,500

Now calculate:

Heat Pump vs. Natural Gas Boiler: Carbon Emissions by Grid Source

Posted on: July 28, 2025
Heat Pump vs. Natural Gas Boiler: Carbon Emissions Comparison

⚙ Heat Pump vs. Natural Gas Boiler: Which Has the Lower Carbon Footprint?

When it comes to reducing carbon emissions in buildings, the choice between using a heat pump or a natural gas boiler isn’t just about equipment efficiency — it’s also about the source of electricity powering the heat pump.

This post compares both technologies under two electricity supply scenarios: one where the grid is powered by natural gas and another where it’s powered by coal.

Syndicate content