Founded with a vision to revolutionise how utilities manage electrical distribution networks, Voltacity specialises in power system modelling, software development and testing, optimisation, spatial analysis and data analytics. Voltacity’s expertise encompasses distribution networks, demand, generation, battery storage and low carbon technologies such as electric vehicles and heat pumps. By offering both consulting services to guide strategic decision-making and software development to implement solutions, Voltacity empowers utilities to achieve more efficient, reliable and sustainable networks.
Connor is the founder and director of Voltacity Ltd. Through Voltacity, Connor works as a Consultant and Power Systems Developer for Derryherk Ltd.
Derryherk specialises in energy masterplanning, geographic information systems (GIS) analysis, data analytics and software development. Derryherk have developed the Network Analyse and VIew (NAVI) Platform, currently deployed within Scottish Power Energy Networks, one of the UK’s largest distribution network operators.
Connor also works as a Research Associate at the University of Strathclyde. He is formerly a member of the Future Power Networks and Smart Grids Centre for Doctoral Training (CDT) and holds a PhD in electrical power systems. Prior to joining the CDT, he obtained an MSc in electrical power engineering with business and a BEng in mechanical and power plant systems.
Connor’s academic research primarily focuses on the decarbonisation of heat and transport and the impacts on local electricity systems. He employs spatial and temporal high-resolution place-based assessment methodologies and frameworks to understand these impacts, contextualising findings for various stakeholders.
More broadly, his research interests include:
spatial and temporal modelling of demand for different energy vectors;
understanding the impacts of socio-economic indicators on demand and network infrastructure to support stakeholders in tackling fuel poverty;
the role of demand flexibility in network operation and planning;
the use of microgrid technology for enabling resilient local energy communities; and
the application of digital twins in future power systems.
Involves developing bespoke capability and functionality to facilitate improved network planning and operation. This includes state-of-the-art modelling techniques and optimisation algorithms with full validation and benchmark testing. Also, the development of scenario analysis and sensitivity studies to evaluate impact and, to identify potential risks and mitigation measures. This equips network operators with a suite of tools for network planning with the ability to enhance grid reliability, efficiency, and sustainability under uncertainty.
Involves the examination and interpretation of geographic data to inform decision-making processes. This includes the use of GIS to map and analyse spatial relationships and patterns. Techniques such as spatial interpolation and proximity analysis are used to understand spatial distributions and relationships. Applications range from urban planning and environmental monitoring to the planning and management of electrical network infrastructure, providing valuable insights through visual and statistical data representation.
Involves the extraction of actionable insights from datasets using statistical and computational techniques. Key activities involve data cleaning and preprocessing, exploratory data analysis, and the development of algorithms to identify patterns and trends. This includes the use of cutting-edge techniques such as predictive modelling , machine learning and real-time processing. These techniques can be applied to leverage the vast amounts of data collected from smart meters, monitoring equipment, and SCADA systems to identify consumption patterns, forecast behaviour, and detect anomalies.