Understanding Motives for Posting Online Reviews

With the help of the Internet, information is no longer only controlled by large businesses and news media. Consumers now have an opportunity to assert their opinion of products or services online in form of online reviews and electronic word-of-mouth (eWOM) communication. Both positive and negative word-of-mouth communication can have a strong influence on consumers’ behavior and on business performance. Positive word-of-mouth is becoming a new way of promoting and building brand relationships with consumers. Negative worth-of-mouth is motivated by revengeful behavior due to a negative or dissatisfying experience. Vast amount of research has shown that word-of-mouth can be a powerful tool for influencing consumers, but only limited research on electronic word-of-mouth communication and motivation behind posting online reviews in the form of reviews, comments and ratings has been published to date. This quantitative study explores the relationship between motives for posting online reviews and demographic data of the participants from Zagreb, Croatia. Sample (n=122) completed an online survey and results have shown that the respondents agreed the most with the statements of altruism, followed by collectivism and self-enhancement and balance scoring the lowest. Correlation was only found between gender and motives for posting online reviews. This difference was rather small and statistically significant only in the case of altruism where the correlation was stronger with women than men

Review of HPC applications for future power system analysis tools

One of the major challenges in the energy sector is to ensure secure and sustainable energy supply. A growth in the usage of renewable resources which are usually connected at lower distribution levels will lead towards electricity networks that are more complex. Likewise, technology that will allow active demand participation has been developed and would be introduced in networks. It will enable that the part of the power demand of active customers could be shifted away from peak periods. This means that the number of network nodes with active devices will increase rapidly affected by a number of distributed generators and, even more, by utilization of smart meters and electric vehicles that can act both as a consumer and as a source/storage device. Consequently, operation of these new Smart Grids will require a step-change in capabilities of operational tools due to a considerable rise in the number of control variables and reduced time intervals between which generation outputs and prices are calculated. Calculating frequent prices and power flow for systems with a large number of nodes will require very fast computations. Therefore, as the power grid networks become more granulated and more intelligent, their operation and control will become even more challenging due to the size of the underling mathematical problems that need to be solved in various power systems analysis tools. The objective of this paper is to review ways in which High Performance Computing (HPC) can be used in power system analysis, and discuss possible further developments in this field

Shinnel Glen hydro scheme analysis

This interim report outlines details of work carried out by the University of Strathclyde to analyse potentials of a community hydro project in Shinnel Glen area. The main goal of this report is to provide details of the modelling and analysis carried out to investigate the potential of new distributed generation connections to this already voltage constrained feeder

BHA PV scheme analysis

This report details work carried out by the University of Strathclyde (UoS) to help SP Energy Networks (SPEN) with mass deployment of domestic PV systems on an already constrained distribution network. These installations were proposed by the Berwickshire Housing Association (BHA) and installed within the period February 2015 – January 2016. The key objective of the report is to provide an overview of the analysis used to investigate which proposed PV systems were able to be installed, and what effects they would have on the network. This report is produced as part of the Accelerating Renewable Connections (ARC) project for SPEN, which investigates alternative methods to allow integration of new DG connections onto a distribution network that previously was believed to be at full capacity

Complexity of future power grids : applications of HPC for OPF operational tools

As the power grid networks become more granulated and smarter, their operation and control are becoming even more challenging due to the size of the underling mathematical problems that need to be solved in various power systems analysis tools. This means that there is a need for the modification of existing algorithms to adapt to the new environment. As the optimal power flow (OPF) presents one of the main tools used in power system operation and control, and the Interior Point Method (IPM) is becoming one of the most frequently used OPF solution algorithm, this poster describes ways in which High Performance Computing (HPC) can be used to improve the performances of the IPM application to the OPF

Accelerating renewable connections through coupling demand and distributed generation

The objective of this paper is to investigate the options for using local demand to accelerate the connection of renewable Distributed Generation (DG) capacity. It presents a range of architectures for operating Distributed Energy Systems (DESs) that contain local demand and distributed generation. The concept of a DES is that demand is supplied by local DG either using privately owned distribution assets or a public distribution network owned by a Distribution Network Operator (DNO). Operation of a DES can help manage variability in DG output, reduce curtailment in Active Network Management (ANM) schemes, and assist the DNO in managing network constraints. They also provide a move towards local trading of electricity with potential financial and non-financial benefits to both distributed generators and local demand customers

Integration of energy storage to improve utilisation of distribution networks with active network management schemes

Active Network Management (ANM) has been developed over the past decade in the UK as a potential solution to facilitate integration of Distributed Generation (DG) in distribution networks. It is used to manage network limits and allows significantly cheaper and faster connections for DGs, compared to the network reinforcement. However, ANM can help with the DG penetration only to a certain extent as new DG connections in constrained networks will result in curtailment. This paper investigates the levels of energy storage and locations of its placement in reducing curtailment of DGs and improving utilisation of distribution networks with ANM solutions. It evaluates and compares energy storage values of energy storage capacity at different locations, and using the real network and wind data provided by SP Energy Networks (SPEN) Accelerating Renewable Connection (ARC) project

Background Analysis for Local Power, Local Benefit Project

The objective of this report is to provide details of background analysis into the potential impact of Local Power, Local Benefit (LPLB) project on the local distribution network

Distributed Generation on 11kV Voltage Constrained Feeders

This interim report details work carried out by the University of Strathclyde to develop methods for analysis of the potential for ANM in managing voltage constraints along an 11kV feeder. The work uses Feeder 25 from St. Andrews Primary substation as a template for the methods; however the methods developed can be applied to any radial 11kV feeder

ARC project : PV modelling & monitoring

The presentation focuses on modelling and monitoring of the Low Voltage (LV) network in order to analyse the impact of the integration of domestic photovoltaics (PVs). The work is produced as part of the SP Energy Networks (SPEN) Accelerating Renewable Connections (ARC) project which investigates different options to accelerate the connection of renewable DG capacity