The smart-grid concept can mean many things, however there is a consensus that its objective involves seamlessly adopting new technologies to existing infrastructures and maximising the use of resources. Modelling Distributed Energy Resources in Energy Service Networks focuses on modelling two key infrastructures in urban energy systems with embedded technologies. These infrastructures are natural gas and electricity networks and the embedded technologies include cogeneration and electric vehicle devices. The subject is addressed using a holistic modelling framework which serves as a means to an end; this end being to optimise in a coordinated manner the operation of natural gas and electrical infrastructures under the presence of distributed energy resources, thus paving the way in which smart-grids should be managed. The modelling approach developed and presented in this book, under the name 'time coordinated optimal power flow' (TCOPF), functions as a decision maker entity that aggregates and coordinates the available DERs according tomultiple criteria such as energy prices and utility conditions. The examples prove the TCOPF acts effectively as an unbiased intermediary entity that manages cost-effective interactions between the connected technologies and the distribution network operators, therefore showcasing an integral approach on how to manage new technologies for the benefit of all stakeholders.
- Chapter 2: Integrated modelling review
- Chapter 3: Modelling of energy service networks
- Chapter 4: Modelling embedded technologies in energy service networks
- Chapter 5: Time-coordinated optimal power flow for energy service networks
- Chapter 6: Optimising DERs in energy service networks: a case study
- Chapter 7: Modelling electric vehicle mobility in energy service networks
- Chapter 8: Concluding remarks
Salvador Acha is a Research Fellow and Team Leader of the Imperial College – Sainsbury's Partnership. The partnership has two goals: promoting energy efficiency use by implementing smart controls in stores and sustainably reducing Sainsbury's carbon footprint through holistic energy investment decisions. Energy efficiency strategies, energy modelling and forecasting, and decarbonisation roadmaps are key strong points of the research team. Dr Acha'sother research interests include smart-grid frameworks, roll out of plug-in hybrid electric vehicles, optimal management of distributed sources of energy, energy forecasting, and environmental reporting.