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Household energy efficiency and energy poverty in Serbia
Delineating optimal policy recommendations to achieve sustainable goals set by the European Commission
Considering the previously mentioned “vicious cycle of energy poverty” and the fact that low-income groups are more affected by energy poverty, it was decided to focus on this specific strait of society. Additionally, being a contracting party of the Energy Community Treaty, the Republic of Serbia adheres to implementing EU climate directives (sustainable goals) in the country. Stemming from this, the following Main Research Question was delineated, around which the whole research process was structured: Which energy policy strategy should the Ministry of Mining and Energy implement in Serbia as to achieve household energy efficiency and energy poverty objectives set by the European Commission directed towards low-income groups?
A case study-mixed methods approach was utilised for the following study. By merging the two methodologies, the proposed policies presented elements and were analysed from both a qualitative and quantitative perspective. On the one hand, the institutional, legal, and policy framework in the field of energy in Serbia was analysed, as to ensure the proposed policies were politically and socially feasible. On the other hand, the technical effectiveness in terms of final energy consumption and expenses reduction was also considered. To that end, a MS Excel linear and static simulation model was employed. It was found that performing a simulation-backed analysis of the available policy strategies in Serbia, delineating an optimal one to reduce energy poverty levels and improve household energy efficiency among low-income groups in Serbia, satisfying the sustainable targets set by the European Commission, represented a knowledge gap in the literature.
Three main policies were delineated corresponding to three different simulated scenarios. Namely, (i) the implementation of an emissions trading scheme extended as to also include the residential sector; (ii) the phasing out of heating oil and fossil fuels in 2030, followed by natural gas in 2040; (iii) the implementation of Minimum Energy Performance Standards (MEPS) in the residential sector. The latter resulted as the best performing policy, presenting the highest reduction in final energy consumption and expenses, resulting politically and socially feasible, delivering a positive social impact among low-income households in Serbia.
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Considering the previously mentioned “vicious cycle of energy poverty” and the fact that low-income groups are more affected by energy poverty, it was decided to focus on this specific strait of society. Additionally, being a contracting party of the Energy Community Treaty, the Republic of Serbia adheres to implementing EU climate directives (sustainable goals) in the country. Stemming from this, the following Main Research Question was delineated, around which the whole research process was structured: Which energy policy strategy should the Ministry of Mining and Energy implement in Serbia as to achieve household energy efficiency and energy poverty objectives set by the European Commission directed towards low-income groups?
A case study-mixed methods approach was utilised for the following study. By merging the two methodologies, the proposed policies presented elements and were analysed from both a qualitative and quantitative perspective. On the one hand, the institutional, legal, and policy framework in the field of energy in Serbia was analysed, as to ensure the proposed policies were politically and socially feasible. On the other hand, the technical effectiveness in terms of final energy consumption and expenses reduction was also considered. To that end, a MS Excel linear and static simulation model was employed. It was found that performing a simulation-backed analysis of the available policy strategies in Serbia, delineating an optimal one to reduce energy poverty levels and improve household energy efficiency among low-income groups in Serbia, satisfying the sustainable targets set by the European Commission, represented a knowledge gap in the literature.
Three main policies were delineated corresponding to three different simulated scenarios. Namely, (i) the implementation of an emissions trading scheme extended as to also include the residential sector; (ii) the phasing out of heating oil and fossil fuels in 2030, followed by natural gas in 2040; (iii) the implementation of Minimum Energy Performance Standards (MEPS) in the residential sector. The latter resulted as the best performing policy, presenting the highest reduction in final energy consumption and expenses, resulting politically and socially feasible, delivering a positive social impact among low-income households in Serbia.
A design-based study of data-driven asset management for Storm Surge Barriers
Implementing predictive maintenance, digital twins and realizing data governance for the current asset management at Rijkswaterstaat
Despite the promise, there is no guidance for developing data-driven asset management. In this thesis, design principles are developed to assist in better decision-making using data-driven technologies, resulting in effective maintenance. These new design principles integrate three different areas into the current asset management: Digital Twins (DT), providing a virtual environment for safely testing in various scenarios, Predictive Maintenance (PdM) for confidently predicting a future asset failure and Data Governance (DG), ensuring the data quality for appropriate decision-making for the mentioned data-driven technologies. In other words, the goal of this research is to develop design principles that overcome real-world asset data-related problems during the implementation of DT, PdM and DG within the asset management context.
The qualitative design-based research methodology consists of the following steps: Identifying real-world problems, developing appropriate solutions, and then finalizing by prescribing actionable sentences, also known as design principles. This research design was demonstrated in a real-life case for the Storm Surge Barriers asset class at Rijkswaterstaat (RWS). Two data-collecting research methods were utilized. The first data collecting method was the literature study, which acquired information from 25+ scientific papers from three developing fields in the scientific literature: PdM, DT and DG. The second was a series of semi-structured interviews held with 33 RWS interviewees in different parts of the organization, collecting real-life asset data problems and the associated best practices. To guide the interviews across the data-driven developments and the current status of data governance within RWS, an interview protocol was constructed. The interviews results revealed contrasting views on (1) the SSB openness to new technology, (2) the alignment between asset management priorities and the data-driven technology, and (3) data access by third parties. These contrasting viewpoints unknowingly construct invisible (almost) impermeable walls between different layers in the RWS organization, which prevents knowledge spillovers, resulting in departments maturing at different rates and impeding the understanding and communication between them.
As part of the research design, four types of design principles were formulated. The first was the interview-derived design principles. The second type was the literature derived design principles acquired by the results from the literature study. After that, the interview and the literature-derived principles were combined into 'the refined design principles’. The last type is the data governance design principles, for which the problems were inspired by semi-structured interviews and are solely solved by the current data governance literature.
Thereafter, the refined and data governance design principles were tested within the context of the DT and the PdM by using data flow diagrams. The benefit of using the data flow diagrams is to test if the selected design principles improve the practices of asset management.
Consequently, 33 design principles were developed across the four types of design principles that prescribe guidance on how PdM, DT and DG contribute to developing data-driven asset management. From these, 4 were data governance design principles, and 12 were refined design principles. The refined design principles were not found in prior literature and could be further grouped into short-term and long-term relevance for asset management.
The novelty that these refined design principles bring is twofold, filling in two gaps in the literature. Firstly, It brings clear guidelines which were previously scattered and unclearly presented across the scientific literature. Secondly, these design principles are approached in a novel manner by combining the core insights from the literature and the inclusion of empirical best practices in a real-life case.
The results of implementing the relevant data governance and refined design principles into the AM are twofold. Firstly, the DeP’s enhanced the DT from primarily visualization into a more multifunctional usable digital asset for various asset management purposes. Secondly, implementing the same set of principles enhanced the PdM by including the most important factors to produce reliable automatic predictions to better manage the maintenance schedule.
The managerial recommendation is that the digital twins and predictive maintenance development need to develop hand in hand with data governance aspects and utilize a system to centralize the knowledge across all storm surge barriers, like periodic communities of practices. A lack of these two crucial developments will inhibit RWS long-term vision of transitioning from a pure civil organization to a hybrid organization: A synergy between civil engineering discipline and data-driven technologies.
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Despite the promise, there is no guidance for developing data-driven asset management. In this thesis, design principles are developed to assist in better decision-making using data-driven technologies, resulting in effective maintenance. These new design principles integrate three different areas into the current asset management: Digital Twins (DT), providing a virtual environment for safely testing in various scenarios, Predictive Maintenance (PdM) for confidently predicting a future asset failure and Data Governance (DG), ensuring the data quality for appropriate decision-making for the mentioned data-driven technologies. In other words, the goal of this research is to develop design principles that overcome real-world asset data-related problems during the implementation of DT, PdM and DG within the asset management context.
The qualitative design-based research methodology consists of the following steps: Identifying real-world problems, developing appropriate solutions, and then finalizing by prescribing actionable sentences, also known as design principles. This research design was demonstrated in a real-life case for the Storm Surge Barriers asset class at Rijkswaterstaat (RWS). Two data-collecting research methods were utilized. The first data collecting method was the literature study, which acquired information from 25+ scientific papers from three developing fields in the scientific literature: PdM, DT and DG. The second was a series of semi-structured interviews held with 33 RWS interviewees in different parts of the organization, collecting real-life asset data problems and the associated best practices. To guide the interviews across the data-driven developments and the current status of data governance within RWS, an interview protocol was constructed. The interviews results revealed contrasting views on (1) the SSB openness to new technology, (2) the alignment between asset management priorities and the data-driven technology, and (3) data access by third parties. These contrasting viewpoints unknowingly construct invisible (almost) impermeable walls between different layers in the RWS organization, which prevents knowledge spillovers, resulting in departments maturing at different rates and impeding the understanding and communication between them.
As part of the research design, four types of design principles were formulated. The first was the interview-derived design principles. The second type was the literature derived design principles acquired by the results from the literature study. After that, the interview and the literature-derived principles were combined into 'the refined design principles’. The last type is the data governance design principles, for which the problems were inspired by semi-structured interviews and are solely solved by the current data governance literature.
Thereafter, the refined and data governance design principles were tested within the context of the DT and the PdM by using data flow diagrams. The benefit of using the data flow diagrams is to test if the selected design principles improve the practices of asset management.
Consequently, 33 design principles were developed across the four types of design principles that prescribe guidance on how PdM, DT and DG contribute to developing data-driven asset management. From these, 4 were data governance design principles, and 12 were refined design principles. The refined design principles were not found in prior literature and could be further grouped into short-term and long-term relevance for asset management.
The novelty that these refined design principles bring is twofold, filling in two gaps in the literature. Firstly, It brings clear guidelines which were previously scattered and unclearly presented across the scientific literature. Secondly, these design principles are approached in a novel manner by combining the core insights from the literature and the inclusion of empirical best practices in a real-life case.
The results of implementing the relevant data governance and refined design principles into the AM are twofold. Firstly, the DeP’s enhanced the DT from primarily visualization into a more multifunctional usable digital asset for various asset management purposes. Secondly, implementing the same set of principles enhanced the PdM by including the most important factors to produce reliable automatic predictions to better manage the maintenance schedule.
The managerial recommendation is that the digital twins and predictive maintenance development need to develop hand in hand with data governance aspects and utilize a system to centralize the knowledge across all storm surge barriers, like periodic communities of practices. A lack of these two crucial developments will inhibit RWS long-term vision of transitioning from a pure civil organization to a hybrid organization: A synergy between civil engineering discipline and data-driven technologies.
Comparing real-world evidence usage in gene therapy health technology assessments
Implications for achieving alignment in future joint clinical assessments
Methods: An initial literature review laid the theoretical foundation for the research. A retrospective comparative analysis delivered empirical evidence on RWD/RWE usage in gene therapy HTAs. Preliminary findings were probed in three use cases and verified in semistructured interviews.
Results: Nineteen HTA reports published by the HTA bodies GBA (Germany) and NICE (England) were identified for the ten inscope gene therapies.
Whereas NICE had an average inclusion of 14 sources per HTA report (with an acceptance rate of 56%), GBA had 8 (with 32% acceptance rate).
While RWD/RWE supporting evidence on an external comparator had the lowest acceptance rate, RWD/RWE on intervention effectiveness had the highest acceptance rate. Insufficient information to substantiate the choice of RWD/RWE and inappropriate RWE study design was the most common exclusion rationales for RWD/RWE.
Conclusions: The presented empirical evidence adds to the current knowledge base in two ways; it provides empirical evidence on HTAs of gene therapies (1) and RWD/RWE usage in gene therapy HTAs (2). This work provides insights into how RWD/RWE usage differs between HTA bodies and explicates relevant considerations for gene therapy manufacturers when using RWD/RWE in future HTA submissions. It also proposes that alignment on evidentiary requirements and assessment elements will optimise the transferability of future joint clinical assessment outcomes to national HTA bodies. Knowledge transfer and knowledge sharing initiatives will play a pivotal role in achieving such a consensus. ...
Methods: An initial literature review laid the theoretical foundation for the research. A retrospective comparative analysis delivered empirical evidence on RWD/RWE usage in gene therapy HTAs. Preliminary findings were probed in three use cases and verified in semistructured interviews.
Results: Nineteen HTA reports published by the HTA bodies GBA (Germany) and NICE (England) were identified for the ten inscope gene therapies.
Whereas NICE had an average inclusion of 14 sources per HTA report (with an acceptance rate of 56%), GBA had 8 (with 32% acceptance rate).
While RWD/RWE supporting evidence on an external comparator had the lowest acceptance rate, RWD/RWE on intervention effectiveness had the highest acceptance rate. Insufficient information to substantiate the choice of RWD/RWE and inappropriate RWE study design was the most common exclusion rationales for RWD/RWE.
Conclusions: The presented empirical evidence adds to the current knowledge base in two ways; it provides empirical evidence on HTAs of gene therapies (1) and RWD/RWE usage in gene therapy HTAs (2). This work provides insights into how RWD/RWE usage differs between HTA bodies and explicates relevant considerations for gene therapy manufacturers when using RWD/RWE in future HTA submissions. It also proposes that alignment on evidentiary requirements and assessment elements will optimise the transferability of future joint clinical assessment outcomes to national HTA bodies. Knowledge transfer and knowledge sharing initiatives will play a pivotal role in achieving such a consensus.
Governance analysis of decentralized exchange applications
An institutional economics approach
The influence of citizen participation in the decision-making processes of onshore wind farms
A multiple-case study of four onshore wind projects in the Netherlands
Drivers and Obstacles to Implementing Co-creation in Sustainable Heating
A Multiple Case Study Addressing the Institutional Rules underlying Co-creation
Understanding the Attackers and Victims in IoT-based DDoS attacks
A mixed methodology approach to understanding cybercrime
The Influence of Polycentric Governance on Co-Creation in the Heating Transition
An Explorative Case Study of Middelburg
Effects of multi-level governance characteristics on resilient flood risk management
Case study of Kerala floods
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Mainstreaming private climate adaptation
An exploration of business perspectives