Composite index for energy efficiency evaluation of industrial sector: sub-sectoral comparison

Doļģe, Kristiāna; Kubule, Anna; Blumberga, Dagnija

doi:10.1016/j.indic.2020.100062

Cited by 35 publications

(17 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methodology of constructing the composite index in this study is based on the calculation procedure described in the studies of [4]- [6]. The overall calculation procedure for the construction of the composite sustainability index consists of the following steps: (1) selection and classification of the indicators, (2) indicator impact evaluation, (3) data normalization, (4) indicator weight assessment, (5) calculation of the sub-indices, (6) aggregation of the sub-indices into the composite sustainability index.…”

Section: Methods and Datamentioning

confidence: 99%

Composite Transport Sustainability Index: Cross-country Assessment Towards Climate Neutrality in the Context of the European Green Deal Targets

Kristiāna¹,

Doļģe²,

Blumberga³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Methods and Datamentioning

confidence: 99%

Composite Transport Sustainability Index: Cross-country Assessment Towards Climate Neutrality in the Context of the European Green Deal Targets

Kristiāna¹,

Doļģe²,

Blumberga³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The purpose of weighted general quality index (GQI) is to integrate several quality indexes of chitosan into one index GQI reflecting the general chitosan biochemistry performance. The establishment of weighted composite index evaluation method refers to Kristiana Dolge [28] with slightly changed.…”

Section: Calculation and Evaluation Of Weighted Composite Indexmentioning

confidence: 99%

Evaluation of α-Chitosan from Crab Shell and β-Chitosan from Squid Gladius Based on Biochemistry Performance

Bao

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

The objective of this study is to innovatively evaluate the biochemistry performance of α-chitosan from Portunus trituberculatus shell and β-chitosan from Illex argentinus squid gladius by using the weighted composite index method, and provide a theoretical basis for better development and utilization of chitosan biomedical materials. To build a composite evaluation system, seven key indicators, including molecular weight (Mw), deacetylation degree (DD), water binding capacity (WBC), fat binding capacity (FBC), thermal stability (TS), primary structure and secondary structure, which significantly affect chitosan biochemical characteristics, were determined and analyzed. The viscosity average Mw of chitosan was in the range of 22.5–377.1 kDa, and the DD was 83.4–97.8%. Thermogravimetric (TG) and differential scanning calorimetry (DSC) analyses of commercial chitosan (CS), crab chitosan (CSC) and squid chitosan (CSS) showed a downward trend in TS, while WBC and FBC showed an obvious upward trend. FT-IR had a similar profile in peak shape, but the peak position slightly shifted. CD indicated that chitosan maintained the double helix structure and multiple secondary structural elements. The composite weighted index values of CS, CSC and CSS were 0.85, 0.94 and 1.31 respectively, which indicated that the CSS biochemistry performance was significantly better than CSC, and β-chitosan has great potential in biomedical materials.

show abstract

“…For the construction of the Solar energy efficiency index, the normalization by the Min-Max method was considered; this method is the simplest and consists of performing linear transformation data while preserving the relationships between the original values; Min-Max method is by far the most widely used method, particularly in the standardization of international indicators such as the Human Development Index [14], [15].…”

Section: Data Normalizationmentioning

confidence: 99%

Evaluation of Solar Energy Efficiency by Composite Index over Four Continents

Haine

Blumberga

2021

Environmental and Climate Technologies

Self Cite

View full text Add to dashboard Cite

This paper aims to provide an evaluation of solar energy efficiency by composite index and to compare the value of solar energy across 19 countries located over four continents: Europe, Africa, America, and Asia. 15 indicators were evaluated for the year of 2019 and grouped into four dimensions: economic, social, technical, and environmental. Analytical Hierarchy Process (AHP) was used to estimate the weight of each indicator, and consistency tests were calculated to evaluate weight efficiency. The obtained results of the SEI reveals that the technical dimension and economic dimension play an important role in the solar energy efficiency of a country. The results indicate potential improvement areas for increasing solar efficiency. SEI can be used as a tool in assessing solar energy potential integration in a country.

show abstract

Composite index for energy efficiency evaluation of industrial sector: sub-sectoral comparison

Cited by 35 publications

References 12 publications

Composite Transport Sustainability Index: Cross-country Assessment Towards Climate Neutrality in the Context of the European Green Deal Targets

Composite Transport Sustainability Index: Cross-country Assessment Towards Climate Neutrality in the Context of the European Green Deal Targets

Evaluation of α-Chitosan from Crab Shell and β-Chitosan from Squid Gladius Based on Biochemistry Performance

Evaluation of Solar Energy Efficiency by Composite Index over Four Continents

Contact Info

Product

Resources

About