Data Preparation To Conduct a Levelized Cost of Heating Comparison

Our client, a prominent global consultancy, enlisted our assistance to identify research articles and scientific publications containing cost data for various heating methods. The objective was to compare the levelized cost of heating using Natural Gas Furnaces, Heat Pumps, Electric Furnaces, and Hybrid Systems, with a primary focus on three cost-related variables.

To address this request, we supported the client in identifying a certified source containing homogenized and comparable cost data for the heating systems of interest. Additionally, we provided minimum, maximum, and average values of all solicited data entries to facilitate the client’s cost analysis. Moreover, we consulted research articles to substantiate the methodology employed.

The outcome of our efforts was noteworthy. We delivered 100% of the requested data points and organized the data to assist the client in understanding the assumptions made by the original authors. We also created a source map as an appendix to enhance the transparency of the deliverable and facilitate navigation through the original sources. Furthermore, we offered data for forecasting as value-added, along with complementary sources providing alternative approaches to calculate the input variables required for the levelized comparison.

Client Challenge

Our client, a global consultancy, aimed to conduct a comparison between the levelized cost of heating of Natural Gas Furnaces, Heat Pumps, Electric Furnaces, and Hybrid Systems, based mainly on three cost-related variables.

Our Solution

Supporting client in identifying a key certified source that contained homogenized and comparable cost data covering the heating systems of interest.
Providing minimum, maximum and average values (when applicable) of all the solicited data entries to facilitate the client’s cost analysis.
Consulting research articles to backup the methodology followed.

Outcome

Provided 100% of requested data points

− Extracted and ordered all the data to support the client’s understanding of the assumptions made by the data’s original author. − Built a source map as an appendix to maximize the transparency of the deliverable, as well as to facilitate the client’s navigation through the original source by documenting each page from where the data was extracted.

− Offered data to conduct a forecast as value-added, as well as complementary sources that offer an alternative approach to calculate the input variables needed for the levelized comparison.