Ozturk, Z 2013, Smart grid applicability prioritisation of neighbourhoods by developing a geospatial decision support model , PhD thesis, College of Science and Technology.
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Environmental concerns comprising pollution and global warming are among the key parameters that steer policy making actions regarding sustainability. Energy industry that comprises energy generation, distribution, and transmission phases of energy loop is at the core of these concerns and faces challenges. Due to handling capabilities, present electricity grid is not robust enough to utilize desired level of renewable energy sources due to their intermittent nature. On the other hand, emerging policies are targeting the increased utilization of renewable energy sources. In the light of environmental policies and increased stability requirements of the electricity grids, a new concept called “smart grid” emerges. Smart grids are intended to eliminate the limitations of present electricity grids such as offering increased handling capacity for renewable energy, increased interaction of the consumers with the utilities, and increased supply and demand management. It is not easy to express a solid smart grid definition as each party (energy generation, distribution, and demand side management) has its own approach in line with the desires. Due to the potential environmental benefits of smart grids, some governments engage smart grid projects to their agenda. As solid smart grid definition does not exist, there is no available solid strategy for smart grid implementations. On the other hand, it is well understood that failure in deployment of smart grids (regardless of the technology) will have undesirable impacts on growth of renewable energy generation, and failure in meeting EU carbon targets consequently. This research seeks to develop a model that seeks optimization of smart grid implementations, and it assists decision makers with deciding on the priory areas for smart grid applicability. Stated areas in this case are neighbourhoods comprising of residential buildings where considerable amount of energy is consumed. A set of criteria regarding to residential energy use and renewable energy technologies, are defined in the study. Proposed model is embedded in a GIS platform, and the main process carried out is a prioritization mechanism that comprises Analytical Hierarchy Process (AHP) and geospatial computations like clustering and regression analysis in order to evaluate the alternative neighbourhoods. Proposed model optimizes smart grid projects by ranking of alternatives in terms of smart grid applicability. Such an aid in optimizing smart grid projects has the potential to maintain progress of smart grids in a timely manner.
|Item Type:||Thesis (PhD)|
|Contributors:||Arayici, Y (Supervisor)|
|Themes:||Built and Human Environment
|Schools:||Schools > School of the Built Environment|
|Funders:||Non funded research|
|Depositing User:||Z Ozturk|
|Date Deposited:||28 Feb 2014 14:06|
|Last Modified:||30 Nov 2015 23:54|
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