Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions

Electric Vehicles (EVs) replace fossil fuel vehicles in effort towards having more sustainable transport systems. The battery of an EV is recharged at a charging point using electricity. While some recharging will be required at locations where vehicles are normally parked, other recharging could be necessary at strategic locations of vehicular travel. Certain locations are suitable for EV charging station deployment, others are not. A multi-stage decision analysis methodology for selecting suitable locations for installing EV charging station is presented. The multi-stage approach makes it possible to select critical criteria with respect to any defined objectives of the EV charging station and techno-physio-socio-economic factors without which the EV charging station could not be deployed or would not serve its designated purpose. In a case, the type of charging station is specified, and a purpose is defined: rapid EV charging stations intended for public use within and across border regions. Applied in siting real EV charging stations at optimal locations, stages in the methodology present additional techno-physio-socio-economic factors in deploying the type of EV charging stations at optimal locations and keep the EV charging stations operating within acceptable standards. Some locations were dropped at the critical analysis stage; others were dropped at the site-specific analysis stage and replacement sites were required in certain instances. Final locations included most optimal, less optimal, least optimal, and strategic or special need locations. The average distances between contiguous recharging locations were less than 60 miles. Using any specified separation standard, the number of additional EV charging stations required between EV charging stations were determinable with the Pool Box. The Overall Charging Station Availability quadrants suggest that the overall user experience could get worse as less-standardized additional EV charging stations are deployed

The Role of Domestic Integrated Battery Energy Storage Systems for Electricity Network Performance Enhancement

Low carbon technologies are necessary to address global warming issues through electricity decabonisation, but their large-scale integration challenges the stability and security of electricity supply. Energy storage can support this transition by bringing flexibility to the grid but since it represents high capital investments, the right choices must be made in terms of the technology and the location point in the network. Most of the potential for storage is achieved when connected further from the load, and Battery Energy Storage Systems (BESS) are a strong candidate for behind-the-meter integration. This work reviews and evaluates the state-of-the-art development of BESS, analysing the benefits and barriers to a wider range of applications in the domestic sector. Existing modelling tools that are key for a better assessment of the impacts of BESS to the grid are also reviewed. It is shown that the technology exists and has potential for including Electric Vehicle battery reuse, however it is still mostly applied to optimise domestic photovoltaic electricity utilisation. The barriers to a wider integration are financial, economic, technical, as well as market and regulation. Increased field trials and robust numerical modelling should be the next step to gain investment confidence and allow BESS to reach their potential

Multi-annual time series operational data for a Vestas V52 wind turbine located in a coastal peri-urban environment in Ireland

This long-term time series wind turbine operation dataset is from an 850 kW Vestas V52 wind turbine located in a peri-urban location in Ireland. The wind turbine has a hub height of 60 m and a rotor diameter of 52 m. The dataset ranges from 2006 to 2020 and contains the 10-minute raw data logged by the internal turbine controller system. It includes both external environmental measurements such as wind speed, wind direction and temperature, and wind turbine operating parameters such as rotor speed, blade pitch angle, generator speed and internal component operating temperatures. The data may be of interest for a variety of wind research areas including distributed wind energy, wind turbine ageing, technology improvements, design standards development and wind turbine energy performance in per-urban environments under various atmospheric conditions

High temperature air source heat pump coupled with thermal energy storage: Comparative performances and retrofit analysis.

This paper presents the performance analysis and retrofit assessment of a domestic high temperature air source heat pump coupled with thermal energy storage in terms of different system configurations. TRNSYS simulations were used to model the dynamic system, which has been validated against field trial results. The validated models were then simulated with different system configurations under the same boundary conditions to assess its performances. Simulated results showed that continuous coupling between the heat pump and storage to heat the house had the worst performance, while the operation of only the heat pump heating the house obtained the highest efficiency. Although the heat pump cannot compete with the gas boilers in terms of running costs, between 6.6% and 33% of carbon cut can be achieved if the heat pump was retrofitted