AI Generative Design Tool for Low-Cost District Heating Networks

**项目愿景：**我们的项目目标是构建一个**生成性设计工具**，它将自动化区域热能网络的优化设计。目前，设计既昂贵又耗时，而且往往缺乏足够详细的数据来确保系统效率。在许多情况下，这会导致设备尺寸过大，从而增加资本成本，使项目不可行。通过开发一种新的、尖端的、**生成性设计工具**，我们的项目将加速区域供热：1)使用自动化、计算机驱动的过程，我们将从根本上降低建模和系统规模的前期成本；2)使用最新的人工智能技术与详细的地理数据相结合，我们将优化系统设计，以提高热网的可负担性并最大化其可行性。我们的解决方案将从根本上降低区域供热的成本，并提高其可行性。终端消费者将从更低的供暖成本、更温暖的住宅/建筑和减少燃料贫困中受益。考虑到多种设计选项，将允许更多地关注零碳燃料来源(包括氢气)，这将促进新一代真正的零碳区域供热。受益的最终用户包括地方当局、主要供热用户、社会房东和供热供应商。将从提高生产率和准确性中受益的直接用户包括工程咨询公司、地方当局、网络运营商和供应商。

**VISION FOR THE PROJECT:** Our project objective is to build a **generative design tool** that will automate the optimal design of district heat energy networks. Currently, design is costly and time-consuming and often lacks sufficiently detailed data to ensure system efficiency. In many cases this leads to over-sizing of equipment which increases capital costs and makes projects unviable. By developing a new, cutting-edge, **generative design tool** our project will accelerate district heat:1)using an automated, computer-driven process, we will radically reduce the up-front costs of modelling and system sizing;2)using the latest AI techniques combined with detailed geographic data we will optimise system design to increase the affordability of heat networks and maximise their viability.Our solution will radically reduce the cost of district heat and improve its viability. End consumers will benefit through lower heating costs, warmer homes/buildings and reduced fuel poverty. Taking into account multiple design options will allow for greater focus on zero-carbon fuel sources (including hydrogen) which will promote a new generation of true zero-carbon district heat. End users that stand to benefit include Local Authorities, Major Heat Users, Social Landlords, and suppliers of Heat. Direct users that will benefit from improved productivity and accuracy include Engineering consultancies, Local Authorities, Network Operators and Suppliers.