Table 9 Agent parametrisation of the decision-making process in MUSE based on survey findings.

From: MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets

Agent attribute

In Eq. 12

Agent’s parametrisation based on survey

Survey questions formulation

Questionnaire in provided links

Objectives

Obj.

Capital expenditure

Question 19

Operational Cost

Net Present Value

Search Rule

SR

Investors are found to be sophisticated, open to innovations and risk under certain circumstances, and able to gather information on all available natural-gas-based technologies.

Question 10

Question 13

Question 15

Decision strategy

DS

Multi-objective. The Weighted Sum is applied which transforms the set of objectives into a single-objective by multiplying each objective with a pre-defined weight.

Question 19

Type, new or retrofit

TP

Both new and retrofit agents are found from the survey.

Question 10

Budget

B

Each enterprise provides their available budget to invest in fuel-switching technologies.

Question 21

Question 22

Question 24

Technology Stock

TS

The current technologies in place in addition to natural-gas-based technologies are considered.

Question 13

Agent Population Percentage

PP

The PP is known from the total of surveyed enterprises.

From the total of surveyed enterprises