JIS Energy

Combined Heat and Power Industry

The Smarter Way to Choose Your Next Hot Water Heater System

CogenS™ – Hydronics MFG Selector

The Definitive Hot Water Heater Selection & Sizing Tool

Making the right choice for a domestic hot water (DHW) system is one of the most critical long-term decisions for any building project. It impacts everything from upfront capital costs and ongoing operational expenses to energy consumption, carbon emissions, and occupant satisfaction. In a market filled with competing manufacturers and complex performance data, how can you be certain you’re selecting the most efficient and cost-effective solution?

 

CogenS™ – Hydronics MFG Selector is a dedicated modeling tool purpose-built to eliminate guesswork and bring engineering-grade precision to your decision-making. It empowers building professionals, energy consultants, and contractors to move beyond simple upfront price comparisons and truly understand the total cost of ownership (TCO) of multiple systems over their entire lifecycle.

Watch CogenS™ Tutorial

technoeconomic analysis software
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Effortless Software for a Complex Problem

Evaluate, Model and Select between Multiple
Hot Water Heater System
Products with Unbiased, Data-Driven Confidence.

CogenS™ – Hydronics MFG Selector is far more than a simple calculator. It’s a robust energy modeling for HVAC platform that simulates how different DHW systems will perform under your building’s unique real-world conditions. Whether you are comparing competitive bids, planning a retrofit for aging equipment, or designing a new high-efficiency domestic hot water system, this tool allows you to model and compare multiple manufacturers side-by-side.

By standardizing inputs and assumptions, CogenS™ provides a fair, objective, and transparent comparison, allowing you to see which system delivers the best long-term value and performance.

What is CogenS™ - Hydronics MFG Selector?

CogenS™ enables users to model different hot water heater systems—from standard gas units to high-efficiency heat pump water heaters (HPWHs)—using consistent project data. It simulates system performance over a finite investment horizon, typically 10 to 25 years, and clearly highlights the most cost-effective option based on a comprehensive lifecycle cost analysis for DHW systems.

The tool ingests real-world building data, including:

  • Detailed thermal load profiles (sub-hourly, hourly, daily)
  • Building outage patterns and schedules
  • Local utility tariff structures (including time-of-use rates)
  • Local climate and weather data (TMY files)

You then enter the specific performance data and specifications from various hot water heater manufacturers. The tool automatically processes this information to calculate:

  • Annual and Lifetime Energy Consumption: Understand the precise energy usage and costs year over year.
  • Operating and Maintenance (O&M) Costs: Project scheduled and unscheduled maintenance expenses.
  • Carbon Emissions Output: Quantify the environmental impact and align with decarbonization goals.
  • Capital Expenditures (CAPEX): Factor in the initial investment costs.
  • System Part-Load Behavior: Model how efficiency changes as the equipment ages and operates at different capacities.
  • Overall Lifecycle Cost Performance: Get a definitive, apples-to-apples comparison of the total cost of ownership.

Once the simulations are complete, you receive a clear, side-by-side comparison table, empowering you to justify your selection with hard data.

Hot Water Heater TOC comparison table

How It Works

Input Project Data

Upload or enter your building-level data. This includes thermal load profiles, outage patterns, local weather files, and utility tariff structures. This foundational step ensures the simulation reflects the actual operating conditions your hot water heater system will face.

Add Multiple Manufacturer Specs

Input the technical data from multiple hot water heater vendors. This is where you can compare different models, brands, and even technologies (e.g., gas vs. electric heat pump). Key inputs include:

  • Electrical and thermal efficiency ratings
  • Emissions rates (NOx, CO2)
  • Part-load performance curves
  • Capital, installation, and operational expenditures
Run the Model

With one click, the tool simulates each manufacturer’s system across the entire project life. CogenS™ uses consistent background conditions for every system, ensuring a fair, data-driven comparison free from bias.

View Results in a Comparison Table

Instantly view tabulated results comparing TCO, emissions, CAPEX/OPEX, and more. This clear, digestible format lets you easily identify the most efficient and financially viable system for your project's specific needs.

Technical Specifications

Supported System Types
  • Residential, commercial, and institutional hot water heater systems

  • Tank and tankless hot water heater technologies

  • Heat pump water heaters, condensing units, and hybrid systems

  • Gas, electric, and alternative-fuel-based water heating solutions

  • Single-unit and multi-unit configurations with load sharing

Data Import

Table-based interface (copy-paste or upload), and built-in APIs for:

  • Building Load Profiles: Hourly or sub-hourly DHW demand data

  • Weather Data: TMY or local climate datasets

  • Utility Tariffs: Electricity and/or gas rates, time-of-use pricing

  • Outage Scenarios: Optional modeling of grid interruptions

  • Hot Water Heater Manufacturer Specifications:

    • Thermal efficiency vs. load curves

    • Storage tank parameters (if applicable)

    • Part-load ratios and turn-down limits

    • Ramp rates and standby losses

    • CAPEX, OPEX, and degradation rates

    • Emissions data (CO₂, NOₓ)

Hot Water Heater Manufacturers Limit

Up to 15

Key Performance Factors Modeled
  • Efficiency at part and full load
  • Multi-unit operation
  • Minimum part-load ratio
  • Emissions and fuel use
  • CAPEX and OPEX
Output Metrics
  • Total Cost of Ownership (TOC): Over a user-defined horizon (10–30 years)

  • Annual Fuel and Energy Use: For electricity, gas, or hybrid configurations

  • Operating and Maintenance Costs: Based on usage and unit design

  • Carbon and Criteria Emissions: With optional carbon pricing

  • NPV, and IRR: Full financial metrics for decision-making

  • Degradation Impact: On performance and costs over time

  • Side-by-Side Comparison Table: Results for all manufacturers entered

Export Formats

Excel

Deployment

Available via CogenS™ local install

CogenS™ Hydronics MFG Selector Project Design Process

Hot Water Heater Boiler Chiller Cooling Tower design process

Project Info

  • Location.
  • Building Type (Industrial, Commercial or Residential).
  • Microgrid components (Combined Heat and Power, Combined Cooling Heat and Power, Energy Storage and PV).
  • Modeling interval (15, 20, 30 and 60 minutes).
  • Metric VS Imperial Units.
  • Weather Data.
Hot Water Heater Boiler Chiller Cooling Tower design process

Energy Profiles

  • Building energy profiles Estimation and Analysis (Electric, Gas, Oil, Cooling, Heating, Domestic Hot Water).
  • Fuel specifications (Heating Value and Density).
  • Scenario Analysis Option (Maximum, Average and Minimum Load Profiles)
  • Peak, Minimum, Average Demand and Load Factor.
  • Grid Emissions Factor.
Hot Water Heater Boiler Chiller Cooling Tower design process

Energy Cost

Electric and Gas Utility Tariff

  • Fixed and minimum charges.
  • Rates Escalation.
  • Unlimited Energy and Demand charges by Period and Tier.
  • 5 Different Metering and Billing Types:
  • Net Energy Metering
  • Net Energy Metering with $ Credits
  • Net Billing
  • Net Billing with Carry Over to next Month
  • Buy All/Sell All

Oil Cost

  • Fixed and minimum charges.
  • Rates Escalation.
Hot Water Heater Boiler Chiller Cooling Tower design process

Hot Water Heaters​

  • Equipment modeling features:
  • Storage or Tankless.
  • Cycle or modulating control.
  • Heat Exchanger, Electric, Gas or Oil.
  • System modelling features:
  • Identical multi-unit.
  • Variable or Constant Flow.
  • Part-Load Efficiency Performance.
  • Optimized number of operating units.
  • CO2e emissions.
Hot Water Heater Boiler Chiller Cooling Tower design process

Results

Summary

  • Energy, Financial and Emissions savings.
  • Financial KPIs
  • Project Capital and Operating Activities pie charts.
  • Conventional VS Cogeneration Pie charts:
  • Energy Bill and Consumption by fuel.
  • Gas Consumption by fuel.
  • Electricity production and emissions by equipment.

Tables

  • Lifetime profiles for key project variables in tabular format:
  • Sub hourly
  • Hourly
  • Daily
  • Weekly
  • Monthly
  • Yearly

Plots

  • Lifetime profiles for key project variables in plot format:
  • Sub hourly
  • Hourly
  • Daily
  • Weekly
  • Monthly
  • Yearly

Core Benefits at a Glance

Why use CogenS™ for your next hot water heater procurement decision?

  • Accuracy

    Conduct a true lifecycle analysis under your building's realistic operating conditions.

  • Efficiency

    Automatically model and compare multiple manufacturers in a single, streamlined run.

  • Clarity

    Generate clean, side-by-side output tables to easily interpret results and justify your decision.

  • Objectivity

    Eliminate bias with a standardized platform that removes the need for manual recalculations in spreadsheets.

  • Scalability

    Perfectly suited for a wide range of projects, from single-family homes to large commercial and district energy systems.

  • Transparency

    The entire process is backed by a rigorous and transparent financial and engineering framework.

Who Should Use It?

This tool is designed to provide actionable insights for a wide range of professionals across the building and energy sectors.

Confidently recommend the best-value system to your clients, backed by a detailed financial analysis. Strengthen your bids and build trust by demonstrating a clear understanding of long-term costs.

Conduct sophisticated feasibility studies and energy audits. Use the tool’s detailed outputs for your reports to pinpoint opportunities for energy savings and GHG reduction.

Optimize your building designs for long-term performance and marketability. A lower operating cost is a significant selling point for potential buyers and tenants.

Make data-driven decisions for equipment replacement and capital planning. Justify expenditures to stakeholders with clear reports showing the projected return on investment.

Align your projects with public sector energy and climate goals. Model the impact of different systems on your organization’s carbon footprint, as guided by standards from organizations like ASHRAE.

Food for thought Why Evaluating Hot Water Heater Manufacturers Matters

When evaluating bids or specifying systems, defaulting to the lowest upfront price is a common but costly mistake. The initial capital cost of a water heater is often just a fraction of its total cost of ownership. Two systems with similar price tags can have drastically different lifecycle costs due to variances in efficiency, fuel type, and maintenance needs.

 

The Hidden Costs of an Inefficient System

Water heating is a major energy consumer in both residential and commercial buildings, often accounting for nearly 20% of total energy use according to the U.S. Department of Energy. An inefficient system directly translates to higher utility bills, month after month, year after year. Furthermore, with the growing push towards decarbonization and the electrification of heating, selecting a system that aligns with future energy standards is crucial for long-term sustainability and regulatory compliance.

 

Beyond Efficiency: Reliability and Performance

A proper commercial water heater sizing and selection process also impacts reliability. An undersized system will fail to meet peak demand, leading to occupant complaints, while an oversized system will cycle inefficiently, increasing wear and tear and leading to premature failure. CogenS™ helps you model these scenarios to find the perfect balance.

 

Navigating New Technologies

The market is evolving. Technologies like heat pump water heaters can offer more than three times the energy efficiency of conventional electric resistance water heaters, according to ENERGY STAR. However, their performance and financial viability depend heavily on climate and utility rates. A tool like CogenS™ is essential for modeling these newer technologies against traditional systems to make an informed choice.

Start modeling and make the smart, sustainable choice.

Choosing the right hot water heater system is more than a design choice — it’s an investment in energy efficiency, operational reliability, and long-term cost savings. Whether you’re a contractor reviewing bids, a consultant preparing models, or a developer planning multiple buildings, CogenS™ – Hydronics MFG Selector is your data-driven advantage.

Understanding the Hot Water Heater System

In any commercial or residential building, the hot water heater plays a critical role in comfort and operations. From space heating to sanitation and food service, DHW systems are often responsible for a significant portion of building energy use.

Common types of hot water systems include:

  • Tank-type water heaters (gas or electric)

  • Tankless or on-demand heaters

  • Heat pump water heaters

  • Indirect water heating via boilers

  • High-efficiency condensing units

Each of these technologies comes with trade-offs in terms of upfront cost, fuel use, spatial requirements, and operational efficiency. Choosing the right one depends on your site conditions, load profile, and long-term financial goals.

🔬 A Note on Methodology

CogenS™ uses an established engineering economics method known as finite horizon total investment analysis. This means it considers the entire useful life of each system and calculates all associated costs — not just the initial capital. By factoring in operational variability, degradation, fuel price changes, and emissions penalties, you get a much more reliable picture of long-term value.

This is particularly important in the hot water heater market, where fuel types, usage patterns, and local code requirements can vary widely.