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Construction Tech Review | Friday, August 16, 2024
Evaluating the return on investment (ROI) connected with adopting modern intelligent building technologies can be intricate and is often considered a significant reason for the slower-than-anticipated pace of implementation. This article explains the three steps in calculating the ROI of intelligent building technologies.
Fremont, CA: Assessing the return on investment (ROI) for implementing contemporary intelligent building technologies can prove complex and is frequently regarded as a significant factor contributing to the slower-than-expected adoption rate. Given that intelligent building systems include various technologies designed to address multiple building-related issues, the financial advantages and the implementation process can differ significantly from one initiative to another.
To better understand this, it is significant to explore a systematic approach to calculating the ROI of intelligent building technologies and highlight the importance of selecting the suitable technology consumption model, as it plays a pivotal role in improving the precision of these calculations.
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Calculate Investment Costs:
Assessing the expenses related to hardware, software, licensing, and installation is generally the most straightforward aspect of the process. Nevertheless, it is essential to consider the environmental costs that accompany most implementation projects. In the context of intelligent building technologies, this entails factoring in the costs of the innovative building hardware, software, and support and additional expenditures for enhanced power supply, Ethernet cabling, or improved wireless connectivity. If a technology integration partner is engaged, estimating the costs associated with design and implementation through to completion and the commencement of Day 1 operations is essential.
Calculate Operational Costs:
The lifecycles of intelligent building technologies generally range from 5 to 10 years, after which a substantial upgrade is necessary. During this period, it is essential to project the ongoing costs associated with the technology's licensing, support, and maintenance. As technology matures, the expenses related to maintaining operational systems and ensuring compatibility with newly added or upgraded infrastructure components tend to increase.
Operational expenses are often the least accurately estimated component in a return on investment (ROI) analysis, as maintenance, repairs, and support costs can fluctuate significantly over time. Therefore, it is advisable to estimate these costs at 10-20 percent above initial expectations for standard intelligent building technologies and 20-30 percent higher for projects deemed to be high-risk.
Estimate the Value of Direct and Indirect Benefits:
After estimating the expenses associated with intelligent building technology, the next step is to evaluate the advantages of the proposed investment. The value can be categorized into two segments: direct and indirect.
The direct value of the investment is largely contingent upon the specific technology being utilized. For instance, in cases where technology is employed to decrease energy, water, or other utility expenses, the percentage savings can be readily determined by analyzing those utilities' current, historical, and projected future consumption costs. Additionally, savings in operational costs can be assessed by calculating the number of operator hours saved through task simplification and automation.
Finally, assessing the indirect costs of implementing the technology is possible. These costs differ based on the particular technology employed. However, the indirect benefits typically encompass increased property value, elevated rental rates resulting from improved tenant satisfaction, and benefits derived from compliance with various regulatory requirements.
These are the three steps for calculating the ROI of intelligent building technologies.
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