b'Partner News Spring 2022 15AcademicSupporting and Supervision (IDEAS) Framework 7 project led by Teesside University illustrated how communities, public authorities and utility companies across Europe can engage in the development and operation of energy the transitionpositive neighbourhoods. Amongst other achievements, IDEAS demonstrated how energy positive neighbourhoods can be cost effectively and incrementally implemented by to net zero designing, testing and validating IoT-based neighbourhood smart energy management tools designed to optimise energy production and consumption with partners including IBM France and Porvoon Energia.Results in demonstration sites showed that concepts of digital engineering, interconnected smart home energy optimisation and combined heat and power By Michael Short and Nashwan Dawood from Teeside(CHP) plant optimisation for district heating Universitys School of Computing, Engineering andand electricity supply of neighbourhoods Digital Technologies. could leverage meaningful results. Yearly operational cost and emissions savings of approximately 32% were estimated through improved analytics for CHP plant load forecasts and improved optimisation approaches.DR-BoB The smart energy tools were adapted and Given the importance of smart techniquesintegrated with Siemens UK commercial for energy management, conversion andproducts to form a solution for co-ordinated control in addressing the climate emergencydemand response for heating, ventilation, and supporting net zero goals, the Centreand air conditioning (HVAC) and heat pump for Sustainable Engineering at Teessidesystems in blocks of buildings within the University has spent the last decade5.1m DR Demand Response in Blocks of focusing its research efforts in this area. Buildings (DR-BoB) Horizon 2020 project, also led by Teesside University.Research within the centre has resulted in the development of novel methods and ICTThe solutions developed provide an tools for energy supply/demand predictiveinnovative scalable cloud/edge-based analytics, energy asset data-drivenIndustry 4.0 energy management system modelling and energy asset optimal controlProfessor Short (centre left) and Professor Dawood (centre) withfor demand assets across single and within a distributed, Internet of things (IoT)Smart Energy Research staff multiple blocks of buildings. When used in based energy management system (EMS)conjunction with supply side management framework.tools they provide a complete solution to renewables integration and energy market Since 2012, collaborative funded projectsinteraction. have seen further applied research and innovation with key industrial partners andThe system is intelligent and can application of the tools for smart energyautomatically adapt to fluctuations in management in numerous successfulenergy demand or production, subject to demonstrations. dynamic price tariffs and changing weather conditions and is supported by tools for IDEAS building energy evaluation and socio-For example, the 2.7m collaborativetechnical analysis and recommendations for Intelligent NeighbourhooD Energy Allocationeffective deployment.'