Life-Cycle Cost Analysis – Trusted Data When You Need It Most

In an ideal world, project budgets would accommodate premium designs, and the best equipment would be the most affordable. However, high efficiency equipment generally comes with a higher price tag, limiting the options a stakeholder considers for their building.

Project designs evolve at a fast pace and decisions are often made based on incomplete information – when accurately communicating equipment benefits to a decision maker in a short amount of time matters – NEO Net Energy Optimizer’s Life-Cycle Cost Analysis produces validated results in real-time, and presents a comprehensive understanding of the equipment selection, beyond first cost alone.

Define Your Equipment

When performing a NEO Life-Cycle Cost Analysis, stakeholders can choose from hundreds of HVAC system and equipment options that leverage trusted industry standards or custom user defined performance characteristics. The user can simultaneously compare multiple HVAC options in minutes resulting in reliable, validated data.

Customize Financial Parameters

Financial inputs provide the user default financial estimates derived from RS Means. If desired, the default financial parameters can be fully customized for both the equipment and the study itself to focus the analysis on the client’s priorities.

Financial inputs include – among other things – life cycle length, interest rates on capital, inflation rates, and depreciation methods.

Equipment study inputs include first cost, maintenance cost, replacement cost, and equipment life.

Life-Cycle Cost Comparison

Choosing the best system for a facility is a balancing act between short- and long-term costs, savings, and energy goals. Users can create a sideby-side comparison to review the analysis and determine tradeoffs. This provides energy savings and ROI information in real-time and allows users to choose the most efficient products and design within their budget.

NEO Net Energy Optimizer helps stakeholders to make faster, more informed decisions with trusted data you can build on.