Dumindu Soorige- Bachelor of Science
- Lecturer at University of Moratuwa
Dumindu Soorige
- Bachelor of Science
- Lecturer at University of Moratuwa
About
17
Publications
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Introduction
Current institution
Publications
Publications (17)
The preeminent reliance on fossil fuel-powered transportation systems poses critical risks to human prosperity and environmental sustainability. As a result, transitioning to sustainable mobility has gained prominence, with electric vehicles (EVs) emerging as a transformative solution EVs not only challenge carbon-dependent travel patterns but also...
As the building sector is a major contributor to global energy consumption and greenhouse gas emissions, there is a growing focus on achieving significant reductions in energy consumption and greenhouse gas emissions in the building sector. Energy consumption in buildings can be classified into embodied energy and operational energy. Studies have i...
The building sector is identified as the leading global energy consumer. Adopting energy-efficient technology innovations has been recognised as the most promising approach to reducing energy consumption in buildings. However, such technology adoption is considerably lacking due to traditional techno-economic thinking, which lacks human focus. Ener...
The construction industry plays a significant role in the economic growth of a country. Nevertheless, the construction industry has created severe adverse environmental impacts. Therefore, green building technologies are implemented to alleviate the adverse effects of the construction industry. Using green materials instead of conventional building...
Operational energy consumption in buildings has a crucial impact on global energy consumption. Nevertheless, significant energy savings can be achieved in buildings if properly designed, constructed, and operated. Building Energy Simulation (BES) plays a vital role in the design and optimisation of buildings. BES is used to compare the cost-effecti...
The hotel sector is directly combined with customer loyalty as it has become increasingly obvious by incorporating its’ antecedents with customer satisfaction and trust. Customer loyalty is influenced by customer satisfaction of hospitality service when it is significantly related to service quality. Sustainability is an important concept that can...
Purpose
Life cycle assessment (LCA) has considerably contributed to increasing the environmental friendliness of buildings in developed countries. However, it is hard to find evidence on the application of LCA for buildings in developing countries; particularly, Sri Lanka. There is a lack of research to compare the status of LCA of buildings in dev...
LCA is a method that systematically evaluates environmental impacts attributed to the building by quantifying environmental inputs and outputs over the lifecycle of buildings. LCA facilitates a sophisticated assessment procedure to promote eco-efficient designs to reduce environmental impacts. Although building-related LCAs are well-rooted in devel...
Definitions Energy-efficient technology is a type of energy technology that conserves more energy. This is compared to the standard energy technologies which are less energy-efficient (Koomey et al. 1994.
Questions
Questions (2)
Dear all,
I am in the process of developing an energy behaviour maturity model for organisations in my PhD. So far, I have conducted expert interviews and focus groups on developing factors and maturity level descriptions (for 5 maturity levels against the factors). The structure of the findings so far is given below.
As the final step, I am going to develop the tool further as an assessment tool. Therefore, I am seeking ways of assigning weights for each main factor and sub-factor (Reason: The main factors/subfactors identified seem to have different impact levels for the energy behaviour maturity. Therefore, if I can assign weights that can be reflected in the results of the maturity assessments conduct using this model in the future)
Note: There are no subfactors for some of the main factors. Altogether, under the 3 Areas, 15 main factors and 5 subfactors are available. If required, the 3 areas can also be assigned with weights.
The structure of the current findings is as follows:
Area 1
- Main factor 1.1
- subfactor 1.1.1 ------------ Level 1 to Level 5 maturity descriptions against factors
Area 2
- Main factor 2.1
- subfactor 2.1.1 ------------ Level 1 to Level 5 maturity descriptions against factors
Area 3
- Main factor 3.1
- subfactor 3.1.1 ------------ Level 1 to Level 5 maturity descriptions against factors
I would be grateful if you could provide your thoughts on this matter.
My Ph.D. research focuses on developing an Energy-Efficient Behavior Maturity Model (EEBMM) for apparel organizations with respect to the adoption of energy-efficient technologies when designing apparel factories. This research follows the theory of Capability Maturity Models. I am doing a qualitative study.
First, I am developing the EEBMM using focus groups with the experts (03 different focus groups for different perspectives will be used). The findings of this step will categorize the subjective descriptions on energy behavior attributes to Five Maturity Levels (from poor to leading). This will happen against each of the energy behavior attributes depending on the responses. Then, as the next stage, the model will be cross-validated using a workshop with the participation of all of the members of focus groups of the previous stage.
My worry is in the last stage of data collection, where I am planning to validate my EEBMM using case studies. I am planning to select suitable case studies to validate the Five maturity levels of the EEBMM. how can I select matching case studies for the validation of the different subjective maturity levels? What I see for the moment is selecting the case studies using some objective criteria such as energy efficiency of the buildings (cases) or availability of energy-efficient technologies in the buildings to categorize suitable case studies for different maturity levels (assuming that the objective criteria match the subjective maturity levels). Since my study is an association between energy behavior and the adoption of energy-efficient technologies, I am trying to work on this aspect of validation. Could you please advise on a way to select case studies for this external validation?
Your support can become a great strength in my research direction. Many thanks in advance!
