3.2. Refrigerant Selection
Based on the criteria listed in
Section 2.1, the following refrigerants were selected for further multi-criteria analysis: refrigerant R452A, ammonia R717, and carbon dioxide R744. The refrigerants were chosen with reference to the properties of the previously commonly used refrigerant R404A. However, the refrigerants selected for analysis have a much lower GWP and can be successfully used in low- and medium-temperature systems. The above refrigerants are decision variants in Bellinger’s multi-criteria analysis, which was subsequently used as the optimal method to support the decision of selecting a refrigerant to be used in intermediate coolant cooling systems. The analysis was performed taking into account the steps of the Bellinger method discussed in
Section 2.1. First, the requirements and constraints for the variant solutions to the problem under analysis were established. The following evaluation criteria were adopted: GWP creation (intensification) potential (K1), practical concentration limit (K2) (kg/m
3), temperature slip (K3) (K), condensation temperature at 26 bar related to R404A (absolute difference in values for the selected refrigerant and R404A) (K4) (K), critical temperature related to R404A (absolute difference of values for the selected medium and R404A) (K5) (K), a normal boiling point related to R404A (absolute difference of values for the selected medium and R404A) (K6) (K), safety group (K7). Of the listed criteria, the first 6 (K1–K6) can be presented numerically, while for criterion K7—safety group, a numerical evaluation is proposed in
Table 1.
Criteria K4–K6 relate to the parameters of the R404A refrigerant to be replaced and represent the absolute difference in the value of a given parameter for the chosen refrigerant and R404A. These differences should be as low as possible. Within a given criterion, the destimulants are represented by criteria K1, K3 K4, K5, and K6. This means that the lowest numerical values within a criterion are the most desirable. On the other hand, within a given criterion, criteria K2 and K7 constitute stimulants. This means that the largest numerical values within a criterion are the most desirable. The lower and upper limits of each criterion are the smallest and largest numerical values, respectively. In order to account for decision-makers’ varying preferences, we have adopted three common attitudes: ecological, qualitative, and safety-oriented. Each attitude assigns different weights to individual criteria.
Table 2 displays the corresponding set of weights for each attitude.
When making decisions based on ecological impact, the criterion related to GWP was given the most weight (40% influence on the decision). The other criteria (K2–K7) were also considered but with less importance (10% influence on the decision each). On the other hand, in the quality option, the focus was on criteria related to thermodynamic parameters and GWP. Among these criteria, K1 and K3–K6 had an equal decision impact of 18% each. Weights of 5% were assigned to the remaining criteria (K2 and K7), while the safe option prioritized criteria related to safe usage (K2 and K7) with a weight of 35% each. Criterion K1 had a 10% influence on the decision, and the remaining criteria (K3–K6) were assigned weights of 5% each. A matrix was then created to display the actual values of each criterion for each option.
Table 3 provides a summary of all numerical values, including the absolute difference in value for the selected refrigerant and R404A for criteria K4–K6.
In the subsequent stage, the authors compiled all the numbers from the matrix of actual values regarding the analyzed criteria based on individual variants. This was calculated as a percentage of the path from the least to the most desirable state, which can be found in
Table 4. To make the compilation, the relevant formulas for stimulants and destimulants were used [
22].
Final calculations were then made to support the decision to select an environmentally friendly refrigerant that meets the requirements of Regulation 517/2014.
Table 5,
Table 6 and
Table 7 show the products of the weights of the individual criteria and the percentages of the so-called path from the least to the most desirable state for three examples of the decision-maker’s attitudes. The best option was then selected based on the sum of the scores given to the individual options, taking into account all the analyzed criteria. The variants for the individual attitudes of the decision-maker were then ranked.
For the case studied, the decision in the environmental variant is to choose the refrigerant R744 (evaluation score 0.675859). The next factors in the comprehensive assessment of the decision-maker from this variant are R717 (score of 0.59697) and the refrigerant R452A (score of 0.5). In the ecological approach, the order is not identical to that resulting from the criterion with the highest weighting, i.e., K1—GWP creation (intensification) potential (
Table 5).
Based on a qualitative evaluation, factor R452A was chosen with a score of 0.64. The decision-maker also considered R717 (score 0.534545) and R744 (score 0.525427). In the qualitative approach, the ranking is based on criteria that best represent the 35 performance parameters of the R404A refrigerant to be replaced. However, the rank order differs from the ecological approach (
Table 6).
For safety purposes, a refrigerant with a score of 0.85, documented as R452A, was chosen. The decision-maker assessed other refrigerants comprehensively and determined that the next best options are R744 with a score of 0.587298 and R717 with a score of 0.198485. The differences in the evaluation of these refrigerants are most noticeable in this particular category with the ranking being influenced by factors such as the risk of leakage and associated dangers (K2 and K7) (
Table 7).
After analyzing the rankings, it was determined that refrigerant R452A had the highest rating in two out of three categories. Therefore, this refrigerant was chosen as the one for the refrigeration plant being researched.