Energy Project Feasibility: How to Know If an Investment Really Makes Sense

Energy Project Feasibility: How to Know If an Investment Really Makes Sense When evaluating a heat pump, solar PV, HVAC upgrade, or energy-efficiency project, the conversation often begins with one question: How much will it save? That question matters, but it is not enough. A new system may achieve a large reduction in energy consumption while requiring an investment that is too high. Another solution may deliver lower percentage savings but recover its cost much faster and create a better overall business case. A sound engineering decision therefore combines: technical performance + operating cost + initial investment + system life + operational risk. This is the role of technical and financial feasibility analysis. What Is Energy-Project Feasibility? A feasibility study answers a fundamental question: Does this investment make technical and financial sense compared with the existing system and available alternatives? That requires understanding more than equipment price. A proper evaluation considers: - Current energy consumption - Current energy cost - Operating hours - Load profile - Existing system efficiency - Project CAPEX - Expected operating cost - Maintenance - Expected savings - Equipment life - Operational risks - Payback period The objective is not to prove that a specific project is good. The objective is to determine which option creates the best outcome for the facility. Start with the Existing Condition Before recommending a solution, the current system must be understood. Questions include: - What fuel or energy source is used? - What is annual consumption? - What is the energy tariff? - How many hours does the system operate? - What is the installed capacity? - What is the actual load? - Is the existing system oversized? - What are annual maintenance costs? - Are failures frequent? - Are there electrical or mechanical constraints? Installed nameplate capacity does not always represent the facility’s true requirement. Do Not Size a New System from Existing Capacity Alone If a facility has a 1,000 kW boiler, that does not automatically mean it needs a 1,000 kW heat pump. The existing boiler may be oversized. The full capacity may only be required during a small number of peak hours. This is why the engineering team should evaluate the: Load Profile and: Load Duration Curve before defining project size. Base Load vs Peak Load Many facilities have a relatively stable base load operating for long periods and a peak load that occurs only during limited hours. If a new system is sized for the full peak, the client may pay for capacity that is rarely used. A smaller heat pump serving the base load while the existing boiler covers peaks can sometimes capture most of the operating savings with a much lower initial investment. Hive Fitness Example At Hive Fitness in Amman, the facility already had an operating gas boiler. Instead of replacing it with a heat pump of the same rated capacity, the load-duration curve was evaluated. The analysis showed that most annual operating hours occurred at a much lower base load. The heat pump was therefore sized at less than 20% of the boiler’s rated capacity to cover the base load, while the boiler was retained for peak demand and backup. This strategy reduced initial investment, preserved redundancy, and enabled a staged transition away from gas. It demonstrates an important principle: The best project is not always the biggest project. Estimating Annual Savings At a basic level, annual savings can be estimated by comparing: current annual operating cost with: expected annual operating cost after the project for an equivalent useful load. If a facility currently spends: 100,000 JOD per year to deliver a defined thermal load, and the proposed system is expected to deliver the same load for: 40,000 JOD, the theoretical annual difference is: 60,000 JOD. But the calculation must also consider: - Energy-price differences - Operating-hour changes - Existing system efficiency - New system performance - Maintenance cost - Seasonal loads - Backup-system operation Savings therefore require an engineering model, not just subtraction. Payback Period Simple payback is one of the most widely used energy-project metrics. If the project investment is: 120,000 JOD and annual savings are: 30,000 JOD, simple payback is: 4 years. Payback is useful because it is easy to understand. But it does not account for: - Time value of money - Cash flows after payback - Project lifetime - Discount rate - Future energy-price changes Larger projects therefore require additional financial metrics. Net Present Value — NPV NPV stands for Net Present Value. A dinar today is worth more than a dinar received many years from now. NPV discounts future project cash flows back to their present value and compares them with the initial investment. A positive NPV generally indicates that the project creates value above the selected discount rate. The longer and larger the project, the more important this analysis becomes. Internal Rate of Return — IRR IRR stands for Internal Rate of Return. It expresses the project’s expected return as a percentage and can help compare an energy project with other investment opportunities. Instead of asking only: How many years until I recover my investment? management can also ask: What financial return does this project generate over its lifetime? Is the Shortest Payback Always Best? No. A two-year payback project may address only a small issue. A four-year project may also: - Improve reliability - Reduce maintenance - Reduce fuel dependency - Improve comfort - Lower emissions - Increase system flexibility - Extend asset life Feasibility therefore includes both financial return and operational value. Energy Prices Matter Heat pump economics depend heavily on the relationship between: - Electricity price - Diesel price - Gas price - Time-of-use tariffs - Demand charges - Taxes and fees A project that performs extremely well in one market may be less attractive in another. Feasibility should therefore be facility-specific. What About Future Energy Prices? Energy projects often operate for ten years or more. A good study should therefore include scenarios. For example: Base Case Current energy prices remain relatively stable. Higher Fuel Cost Gas or diesel becomes more expensive. Higher Electricity Cost Electricity tariffs increase. Solar Integration On-site PV offsets part of electrical demand. Scenario analysis helps management understand how sensitive the project is to future conditions. CAPEX vs OPEX A key energy-project decision is the tradeoff between: CAPEX — Capital Expenditure and: OPEX — Operating Expenditure A low-cost system can become expensive to operate. A higher initial investment may create significantly lower lifetime cost. The better question is therefore not: What does the equipment cost? It is: What will the system cost to own and operate over its useful life? Do We Need to Replace Everything? Not necessarily. In many cases, the strongest solution may be: - Hybrid operation - Staged conversion - Retaining an existing boiler - Adding a heat pump for the base load - Improving controls first - Adding solar PV later Smart energy transition does not always require removing every existing asset. When Is an Energy Project Not Feasible? Not every efficiency project should be implemented. Feasibility may be weak when: - Operating hours are low - Annual load is small - Energy-price difference is limited - Required CAPEX is too high - The building will soon change use - Existing equipment is already efficient - Site constraints are significant - Secondary modification cost is excessive A credible engineering consultant should be willing to conclude: This project does not currently justify the investment. Why Energy Auditing Comes Before Feasibility An energy audit identifies where energy is actually being used. It helps establish: - Major energy loads - Inefficient systems - Improvement opportunities - Priority actions Projects can then be ranked according to: required investment versus: expected return This prevents a facility from committing capital to a large project while a smaller and more valuable opportunity remains unnoticed. A Practical Investment Roadmap Energy opportunities can often be grouped into: Quick Wins Low investment and rapid impact. Examples include: - Control adjustments - Scheduling - Setpoint optimization - Operational corrections Medium-Term Projects Moderate investment and strong returns. Examples include: - Heat pumps - HVAC upgrades - Solar thermal Strategic Projects Larger investment with long-term impact. Examples include: - Central plant replacement - Large solar PV - Full electrification - Major building retrofit This creates a clearer implementation roadmap. What Should a Feasibility Study Include? Before approving a significant energy investment, the study should typically document: - Existing condition - Current energy consumption - Actual load - Proposed solution - CAPEX - Expected OPEX - Expected annual savings - Simple payback - Equipment life - Risks - Key assumptions - Energy-price scenarios For larger projects: - NPV - IRR - Sensitivity Analysis The clearer the assumptions, the easier the study is to review and defend. Do Not Start with the Product If the conversation begins with: “We have this heat pump. Where can we install it?” the solution has already been selected before the problem is understood. A better sequence is: What is the load? What is the current cost? What are the constraints? What are the available alternatives? Which technology performs best? The answer may be a heat pump. It may be controls. It may be solar PV. It may be a hybrid solution. Or the correct recommendation may be to delay the project. Conclusion A feasibility study is not a document created to justify equipment purchase. It is a decision-making tool. Its purpose is to determine: What should be implemented? At what size? At what stage? At what cost? And with what expected return? At Perfect Solutions Engineering, feasibility begins with actual loads and energy consumption, then compares technical and financial alternatives before defining the solution. The right question is not: Can this project be implemented? It is: Should it be implemented, and is this the right solution, size, and timing?