Advanced Carbon and Energy Management and Eco-design Platform for Urban Districts
Unlike the existing energy and carbon emission model that only can force in one area in building level, the platform is comprehensive that integrating energy, environment and eco-design models in districts level.
Our Platform is the first of its kind effort in bringing the cloud-computing method into the urban energy and environment management and eco-design that significantly save the calculation time for the simulation and result.
Our platform is large-scale (district level) energy or carbon performance estimation & management and sustainable district planning and design assistant tool that is providing real-time feedback on the environmental impacts, carbon prediction and energy estimation of building information modelling (BIM)
We bring together the established scientific and technological advances of the UK/Chinese teams in carbon prediction & management, energy-optimization & eco-design, big-data and cloud-computing, as well as urban/district for the platform.
NSP-H: NPS Humber Ltd
UHULL: University of Hull
CABR-SZ: China Academy of Building Research (CABR) Shenzhen Construction Technology Co., Ltd.; GDUT: Guangdong University of Technology.
In our vision,With widely applying this the proposed cloud-computing platform into Urban Planing will enable the smart urban/district planning and energy/carbon systems design, prediction and management, thus achieving around 25% of fossil fuel energy saving and 30% of carbon emission reduction, as well as 10% increased renewable energy application.
The platform and it s potential business prospects are well established on the research and engineering successes of NPS-H (UK), UHULL (UK), CABR (China) and GDUT (China), including the carbon prediction and management system, energy consumption evaluation and saving strategies development model, energy system design and optimisation model, cloud-computing system set-up, big-data sources, as well as computerised urban planning capacity. These achievements, represented by 12 grants, 29 papers, 8 computer models, and 4 registered software licenses.
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University of Hull
School of Engineering and Computer Science
+44 (0) 1482 466684
Hull, HU6 7RX, UK