The impact of new public management on the roles of elected councillors, management and the community sector in Irish local government: a case study of Cork County Council

The fundamental aim of this thesis is to examine the effect of New Public Management (NPM) on the traditional roles of elected representatives, management and community activists in Irish local government. This will be achieved through a case study analysis of one local authority, Cork County Council. NPM promises greater democracy in decision-making. Therefore, one can hypothesise that the roles of the three key groupings identified will become more influenced by principles of participatory decision-making. Thus, a number of related questions will be addressed by this work, such as, have the local elected representatives been empowered by NPM? Has a managerial revolution taken place? Has local democracy been enhanced by more effective community participation? It will be seen in chapter 2 that these questions have not been adequately addressed to date in NPM literature. The three groups identified can be regarded as stakeholders although the researcher is cautious in using this term because of its value-laden nature. Essentially, in terms of Cork County Council, stakeholders can be defined as decision-makers and people within the organization and its environment who are interested in or could be affected directly or indirectly by organizational performance. This is an all-embracing definition and includes all citizens, residents, community groups and client organizations. It is in this context that the term 'stakeholder' should be understood when it is occasionally used in this thesis. In this case, the perceptions of elected councilors, management and community representatives with regard to their changing roles are as significant as the changes themselves. The chapter begins with a brief account of the background to this research. This is followed by an explanation of the methodology which is used and then concludes with short statements about the remaining chapters in the thesis.

Integrating mobile and cloud resources management using the cloud personal assistant

The mobile cloud computing model promises to address the resource limitations of mobile devices, but effectively implementing this model is difficult. Previous work on mobile cloud computing has required the user to have a continuous, high-quality connection to the cloud infrastructure. This is undesirable and possibly infeasible, as the energy required on the mobile device to maintain a connection, and transfer sizeable amounts of data is large; the bandwidth tends to be quite variable, and low on cellular networks. The cloud deployment itself needs to efficiently allocate scalable resources to the user as well. In this paper, we formulate the best practices for efficiently managing the resources required for the mobile cloud model, namely energy, bandwidth and cloud computing resources. These practices can be realised with our mobile cloud middleware project, featuring the Cloud Personal Assistant (CPA). We compare this with the other approaches in the area, to highlight the importance of minimising the usage of these resources, and therefore ensure successful adoption of the model by end users. Based on results from experiments performed with mobile devices, we develop a no-overhead decision model for task and data offloading to the CPA of a user, which provides efficient management of mobile cloud resources.

Modelling and control of a floating oscillating water column

A novel numerical model of a Bent Backwards Duct Buoy (BBDB) Oscillating Water Column (OWC) Wave Energy Converter was created based on existing isolated numerical models of the different energy conversion systems utilised by an OWC. The novel aspect of this numerical model is that it incorporates the interdependencies of the different power conversion systems rather than modelling each system individually. This was achieved by accounting for the dynamic aerodynamic damping caused by the changing turbine rotational velocity by recalculating the turbine damping for each simulation sample and applying it via a feedback loop. The accuracy of the model was validated using experimental data collected during the Components for Ocean Renewable Energy Systems (CORES) EU FP-7 project that was tested in Galway Bay, Ireland. During the verification process, it was discovered that the model could also be applied as a valuable tool when troubleshooting device performance. A new turbine was developed and added to a full scale model after being investigated using Computational Fluid Dynamics. The energy storage capacity of the impulse turbine was investigated by modelling the turbine with both high and low inertia and applying three turbine control theories to the turbine using the full scale model. A single Maximum Power Point Tracking algorithm was applied to the low-inertia turbine, while both a fixed and dynamic control algorithm was applied to the high-inertia turbine. These results suggest that the highinertia turbine could be used as a flywheel energy storage device that could help minimize output power variation despite the low operating speed of the impulse turbine. This research identified the importance of applying dynamic turbine damping to a BBDB OWC numerical model, revealed additional value of the model as a device troubleshooting tool, and found that an impulse turbine could be applied as an energy storage system.