Co-benefits of energy networks integration technologies for system operation

为了满足碳预算和加速英国能源系统脱碳，需要增加运输，供热和工业部门与电网的耦合，并且可以部分地由多能源网络方法的研发驱动。这已经在发生：一些研究表明，网络一体化有可能为天然气和电力网络提供宝贵的运营灵活性，并显示了供应限制所带来的当前和未来风险。进一步的研究模拟了未来4%的英国车辆是燃料电池电动汽车（FCEV），表明如果氢加油站的电解槽也能够提供频率控制辅助服务（FCAS），那么CCGT容量的显着位移，以及碳排放和成本的减少，用于将能量从电转换为热或氢的方案/装置主要用于满足加热/运输/热需求，理想情况下，最大限度地利用过剩的可再生能源发电。研究这些发展与未来电网要求之间可能的协同效应将会很有趣，因为这些其他好处可能会从新设施的战略规划中获得。这包括对加强和提供平衡和频率响应服务的需求减少，以及对本地服务和黑启动能力潜力的需求增加。尽管已经存在综合能源网络工具，但这些工具的能力可能有限，需要开展工作，以了解在何处以及何时可以在模型中进行某些假设和简化。因此，该项目正在寻求改进建模，以便开发和应用工具，解释与未来低惯性低碳电网的规划和投资决策相关的现象。

In order to meet carbon budgets and accelerate UK energy system decarbonisation, increased coupling of transport, heating and industrial sectors to the power grid is required, and can be partly driven by the RD&D of multi-energy networks approaches. This is already happening: several studies have demonstrated the potential of networks integration to provide valuable operational flexibility to both gas and electricity networks, as well as the current and future risks arising from supply constraints. Further research modelling a future where 4% of UK vehicles are fuel-cell electric vehicles (FCEVs) suggested that if electrolyzers in hydrogen refuelling stations are also enabled to provide frequency control ancillary services (FCAS), then significant displacement of CCGT capacity, and reductions in carbon emissions and costs, could be realised.Schemes/appliances for converting energy from electricity to heat or hydrogen is primarily done to serve heating/transport/thermal demands, ideally with maximum utilisation of excess renewable generation. It will be interesting to examine the possible synergies between these developments and the requirements of the future grid, since these other benefits could be potentially obtained from strategic planning of the new facilities. These cover the reduced need for reinforcement and providing balancing and frequency response services, as well as an increasing need for potential for local services and black start capacity.Although integrated energy networks tools already exist, these may be limited in terms of their capabilities and work is needed to understand where and when certain assumptions and simplifications in the models can be made. The project is therefore looking to make modelling improvements, such that tools can be developed and applied which account for the phenomena relevant to planning and investment decisions of the future low-inertia, low-carbon grid.