This paper presents an evaluation framework for Techno-Economic-Environmental (TEE) performance of the Integrated Gas and Electricity Distribution Networks (IGEDNs). The proposed framework is based on a coupled gas and electric load flow model, facilitating the consideration of all the parameters affecting the operation of IGEDNs, such as different gas mixtures, gas temperature, pipeline characteristics and the electricity network topology. This framework can assess the impact of different storage configurations, different levels of Renewable Energy Sources (RESs) and different levels of energy demand on the amount of imported energy from the upstream networks, operational costs and emissions of the IGEDNs. The evaluation framework can perform the TEE operational analysis of future scenarios of IGEDNs through various coupling components and storage devices including Single-Vector Storage (SVS) as well as Vector-Coupling Storage (VCS) devices to provide a basis for well-informed design choices for meeting the Greenhouse Gas (GHG) reduction targets. The TEE evaluation framework is tested on a real-world case study from a rural area in Scotland, and analysed from different aspects, to show the effectiveness of the model for analysis of the interactions of gas and electricity distribution networks. The results reveal that integrated operation of the gas and electricity networks improves all the considered technical, economic and environmental parameters.
|Journal||International Journal of Electrical Power and Energy Systems|
|Early online date||17 Sep 2020|
|Publication status||Published - Feb 2021|
Bibliographical noteFunding Information:
This work has been funded by EPSRC National Centre for Energy Systems Integration (CESI) (Grant No.: EP/P01173/1 ).
The authors would like to acknowledge the support from the Institute for sustainable building design at Heriot Watt University, a partner of CESI, for providing the data of the case study.
© 2020 Elsevier Ltd
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- Integrated gas and electricity distribution networks
- Renewable energy sources
- Single-vector storage
- Vector-coupling storage