Enabling positive energy districts through a planning and management digital twin

该公司旨在创建和部署一种新型的数字孪生（DT），用于实时监测、可视化和管理区域级能源流。该项目将提供一套可复制的建模工具，使利益相关者能够以具有成本效益的方式分析实现正能源和气候中和的规划行动。这些工具将能够模拟该地区的能源生产和需求，建筑库存性能，优化灵活性并模拟移动和运输。DT的设计平台将分析各种假设规划行动，帮助能源和城市规划者基于证据的决策过程，而其运行时引擎将优化区域能源利用效率。DT将遵循模块化开放架构，以支持多部门和多组织利益相关者的需求。通过采用游戏化和共同创造的方法，该项目将提高公众对能源效率的认识和参与。该项目将在拉脱维亚里加的一个地区实施，并将提供实用指南、可重复使用的模型、算法和培训材料，以帮助其他城市在其地区复制该项目，促进可持续能源实践的广泛采用。

ExPEDite aims to create and deploy a novel Digital Twin (DT) for real-time monitoring, visualization, and management of district level energy flows. The project will deliver a suite of replicable modeling tools, allowing stakeholders to analyze planning actions towards positive energy and climate neutrality in a cost-effective manner. The tools will be able to model the district’s energy production and demand, building stock performance, optimize for flexibility and simulate mobility and transport. The DT’s design-platform will analyze various what-if planning actions, aiding energy and urban planners’ evidence-based decision-making processes, while its run time engine will optimize the districts energy utilization efficiency. The DT will follow a modular open architecture to support multi sectoral and multi-organizational stakeholder requirements. By employing gamification and co-creation approaches, the project will enhance public awareness and engagement in energy efficiency. The ExPEDite DT will be applied to a district in Riga, Latvia, and will provide practical guidelines, reusable models, algorithms, and training materials to aid other cities in replicating the DT for their districts, fostering widespread adoption of sustainable energy practices.