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Electrification in energy supply–demand plays a critical role in domestic heating and road transport, delivering an electrified community to reduce carbon emissions. This solution, however, places a significant power demand increase on the distribution networks. To ensure the security of electricity supply, an efficient energy system and energy demand reduction are essential. In this paper, a multi-vector community energy system, applying an electrified heating network, electric vehicle smart charging, community-scale peak shaving and photovoltaic (PV) generation, is demonstrated in three models to manage an electrified community. Firstly, a heating network model, comprising a central ground source heat pump, low-temperature district heating system, electric heaters and thermal storage, is established to measure the optimum distribution temperature. Next, an electrified community model illustrates hourly electricity demands and performances of a community energy system, which is then used to identify the required degree of housing thermal efficiency improvement (i.e., heating demand reduction). The third model evaluates decentralised PV/storage units to maintain the power demand below a targeted power. Modelling results show that the demand ratio of domestic hot water to space heating determines the distribution temperature, which indicates the temperature is increasing with growing housing thermal efficiency. Moreover, the electrification of a community could increase the peak power demand on the highest demand day by over five times, converting heating demands into electricity directly. This significant peak demand can be possibly reduced to only a 33% increase by employing a community energy system. The model of PV/storage units is validated through a 12-week assessment. Ultimately, a modelling tool is developed by assembling the mentioned models, providing four pathways to attain electrification. Users can adjust specific parameters and database to align with the local conditions. The results indicate the requirements of building a community energy system and electricity demands in the highest consumption period.

The glazed envelopes on buildings play a major role in operational energy consumption as they define the boundary conditions between climate and thermal comfort. Such a fa��ade is viewed as an uncontrolled load that sets the operational performance requirements for artificial lighting and air-cooling mechanical systems. This is in contrast to nature, which has evolved materials with the ability to learn and adapt to a micro-environment through self-regulation using materials that are multifunctional, formed by chemical composition in response to solar load. Leaf vasculature formations are of particular interest to this paper. Through leaf maximisation of daylight capture, the total leaf area density and angular distribution of leaf surfaces define the tree structure. This paper will define an approach to simulate nature to advance a microfluidic platform as a dynamic NIR absorber for solar modulation: a transformable network of multi-microchannel geometry matrix structures for autonomous transparent surfaces, for real time flow management of conductivity. This is realised through active volumetric flows within a capillary network of circulation fluidics within it, through it, and out of it for energy capture and storage, the cycle of which is determined through precise management of heat flow transport within a material. This advances transparent fa��ades into an energy system for heat load modulation nested to climate and solar exposure, which is demonstrated in this paper., Journal of Facade Design and Engineering, Vol. 7 No. 1 (2019): Special Issue Powerskin 2019