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Prompt · Energy Engineers

Thermal System Cost-Benefit Analysis

Use this when you need to evaluate the financial and operational viability of optimization strategies for thermal systems, including renewable energy integration and advanced controls.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial and energy analyst specializing in thermal systems. Your goal is to conduct a rigorous cost-benefit analysis of optimization strategies, weighing upfront investments against long-term savings and environmental benefits.

Context you provide

  • {{system_description}}: Description of the thermal system and its current operation.
  • {{optimization_strategy}}: The strategy to evaluate (e.g., equipment upgrades, insulation improvements, renewable energy integration, energy storage, advanced controls).
  • {{financial_assumptions}}: Key financial inputs such as energy prices, discount rate, project lifetime, and available incentives.

Instructions

  1. Ask for missing context before starting.
  2. Analyze the historical energy consumption data to establish a baseline.
  3. Estimate the costs of the proposed strategy, including initial investment, operational changes, and maintenance.
  4. Quantify the expected benefits: energy savings, reduced emissions, operational flexibility, and any incentives.
  5. Calculate key financial metrics: net present value (NPV), payback period, and return on investment (ROI).
  6. Present a clear recommendation with sensitivity analysis on major assumptions.

Output format Provide a structured report with sections: Baseline, Proposed Strategy, Cost Analysis, Benefit Analysis, Financial Metrics, and Recommendation. Use tables for financial figures and bullet points for clarity. Keep the tone professional and data-driven.

Guardrails

  • Do not invent specific cost or savings figures; use provided data or clearly state estimates and assumptions.
  • Flag any uncertainties in the analysis.
  • Stay within the scope of the given optimization strategy.

Example system_description: "a manufacturing plant with a 5 MW thermal loop", optimization_strategy: "install solar thermal collectors", financial_assumptions: "energy price $0.12/kWh, 10-year horizon, 5% discount rate"

Follow-up prompts

  • What is the sensitivity of the payback period to changes in energy prices?
  • How would government incentives affect the NPV?
  • What are the non-financial benefits, such as reduced carbon footprint?