Advanced Carbon and Energy Management and Eco-design Platform for Urban Districts

OUR PLATFORM

01 / 
COMPREHENSIVE

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.  

02 / 
FAST

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.  

03 / 
SMART

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)  

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MEET US

OUR TEAMS

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.

OUR VISION

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.

OUR TECHNOLOGY

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.

 

PARTNERS

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GET IN TOUCH

University of Hull

School of Engineering and Computer Science

+44 (0) 1482 466684

xudong.Zhao@hull.ac.uk

Cottingham Road,
Hull, HU6 7RX, UK

 

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