Energy saving potential in SMEs: selected case studies from the industrial sector in Sri Lanka

2020 ◽  
Vol 20 (3/4) ◽  
pp. 297
Author(s):  
Nilusha Dilhani ◽  
Jayasena Dissanayake ◽  
Asankha Pallegedara
Keyword(s):  
Sri Lanka ◽  
Energy Saving ◽  
Case Studies ◽  
Industrial Sector ◽  
Energy Saving Potential

Energy saving potential in SMEs: selected case studies from the industrial sector in Sri Lanka

2020 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Asankha Pallegedara ◽  
P.U.N.A. Dilhani ◽  
Jayasena Dissanayake
Keyword(s):  
Sri Lanka ◽  
Energy Saving ◽  
Case Studies ◽  
Industrial Sector ◽  
Energy Saving Potential

scholarly journals Energy-saving potential of the industrial sector of Taiwan

2013 ◽  
Vol 21 ◽  
pp. 674-683 ◽  
Author(s):  
Shyi-Min Lu ◽  
Ching Lu ◽  
Kuo-Tung Tseng ◽  
Falin Chen ◽  
Chen-Liang Chen
Keyword(s):  
Energy Saving ◽  
Industrial Sector ◽  
Energy Saving Potential

Substantiation of the predictive volumes of energy saving potential in the enlarged sectors of economy with regard for technological and structural changes

2016 ◽  
Vol 2016 (4) ◽  
pp. 58-67 ◽  
Author(s):  
O.Ye. Malyarenko ◽  
◽  
N.Yu. Maistrenko ◽  
V.V. Stanytsina ◽  
◽  
...  
Keyword(s):  
Energy Saving ◽  
Structural Changes ◽  
Energy Saving Potential

Energy Saving in Industrial Sector of Economy of Ukraine

2006 ◽  
Vol 2 (2) ◽  
pp. 76-85
Author(s):  
G. G. Pivnyak ◽  
Keyword(s):  
Energy Saving ◽  
Industrial Sector

The Role of Music and Allied Arts in Public Writings on Cultural Diversity: “People of Sri Lanka”

2020 ◽  
Vol 6 ◽  
pp. 93-100
Author(s):  
Gisa Jähnichen
Keyword(s):  
Sri Lanka ◽  
Cultural Diversity ◽  
South Asia ◽  
Case Studies ◽  
Sri Lankan ◽  
Culturally Different ◽  
The World ◽  
Official Languages ◽  
The Way

The Sri Lankan Ministry of National Coexistence, Dialogue, and Official Languages published the work “People of Sri Lanka” in 2017. In this comprehensive publication, 21 invited Sri Lankan scholars introduced 19 different people’s groups to public readers in English, mainly targeted at a growing number of foreign visitors in need of understanding the cultural diversity Sri Lanka has to offer. This paper will observe the presentation of these different groups of people, the role music and allied arts play in this context. Considering the non-scholarly design of the publication, a discussion of the role of music and allied arts has to be supplemented through additional analyses based on sources mentioned by the 21 participating scholars and their fragmented application of available knowledge. In result, this paper might help improve the way facts about groups of people, the way of grouping people, and the way of presenting these groupings are displayed to the world beyond South Asia. This fieldwork and literature guided investigation should also lead to suggestions for ethical principles in teaching and presenting of culturally different music practices within Sri Lanka, thus adding an example for other case studies.

scholarly journals Systematic Method for the Energy-Saving Potential Calculation of Air-Conditioning Systems via Data Mining. Part I: Methodology

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 81
Author(s):  
Rongjiang Ma ◽  
Shen Yang ◽  
Xianlin Wang ◽  
Xi-Cheng Wang ◽  
Ming Shan ◽  
...  
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Storage System ◽  
Operation Mode ◽  
Systematic Method ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Air Conditioning Systems

Air-conditioning systems contribute the most to energy consumption among building equipment. Hence, energy saving for air-conditioning systems would be the essence of reducing building energy consumption. The conventional energy-saving diagnosis method through observation, test, and identification (OTI) has several drawbacks such as time consumption and narrow focus. To overcome these problems, this study proposed a systematic method for energy-saving diagnosis in air-conditioning systems based on data mining. The method mainly includes seven steps: (1) data collection, (2) data preprocessing, (3) recognition of variable-speed equipment, (4) recognition of system operation mode, (5) regression analysis of energy consumption data, (6) constraints analysis of system running, and (7) energy-saving potential analysis. A case study with a complicated air-conditioning system coupled with an ice storage system demonstrated the effectiveness of the proposed method. Compared with the traditional OTI method, the data-mining-based method can provide a more comprehensive analysis of energy-saving potential with less time cost, although it strongly relies on data quality in all steps and lacks flexibility for diagnosing specific equipment for energy-saving potential analysis. The results can deepen the understanding of the operating data characteristics of air-conditioning systems.

Sign in / Sign up

Export Citation Format

Share Document