Ming has introduced a major advancement in infrared thermal imaging technology, transforming it from a simple qualitative inspection tool, into a sophisticated quantitative evaluation tool. This significantly reduces error in building energy calculation by eliminating the “GIGO” (garbage in – garbage out) factor, where inappropriate or false input leads to false output. No longer is a thermal image just another pretty or interesting picture. We can now precisely state its significance by answering the following technical questions:

• How much thermal heat energy is being radiated by the surfaces; and/or
• What is the effective R-value of the surface to be used in the building energy calculation, as in Ming-EA™?

Benefits:

• Without correct answers to these questions, the energy modeling inputs are often wrong, leading to invalid output predictions (i.e., limitation by GIGO)
• We can now identify monetary value of the thermal problem, to properly assess ROI for recommended fix or remediation. We can now show, for example, the value of installing thermal blankets over domestic hot water tanks, or how much power is being lost by transformers and power-buses.

             Ming Demand™                 Ming-EA™