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Evaluation tool for the thermal performance of retrofitted buildings using an integrated approach of deep learning artificial neural networks and infrared thermography

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Energy and Built Environment 2021年第4期2卷 345-365页

作者： Amin Al-Habaibeh arijit sen John Chilton Innovative and Sustainable Built Environment Technologies Research Group(iSBET) Nottingham Trent UniversityUK Department of Architecture and Built Environment University of NottinghamUK

In most countries,buildings are responsible for significant energy consumption where space heating and air conditioning is responsible for the majority of this energy *** reduce this massive consumption and decrease carbon emission,thermal insulation of buildings can play an important *** estimation of energy savings following the improvement of a building’s insulation remains a key area of research in order to calculate the cost savings and the payback *** this paper,a case study has been presented where deep retrofitting has been introduced to an existing building to bring it closer to a Passivhaus standard with the introduction of insulation and solar photovoltaic *** thermal performance of the building with its improved insulation has been evaluated using infrared *** intelligence using deep learning neural networks is implemented to predict the thermal performance of the building and the expected energy *** prediction of neural networks is compared with the actual savings calculated using historical weather *** results of the neural network show high accuracy of predicting the actual energy savings with success rate of about 82%when compared with the calculated *** results show that this suggested approach can be used to rapidly predict energy savings from retrofitting of buildings with reasonable accuracy,hence providing a practical rapid tool for the building industry and communities to estimate energy savings.A mathematical model has been also developed which has indicated a life-long monitoring will be needed to precisely estimate the benefits of energy savings in retrofitting due to the change in weather conditions and people’s behaviour.

关键词： Artificial intelligence Neural networks Building thermal performance Wall insulation Infrared thermography Deep retrofitting

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Enhancing the sustainability and energy conservation in heritage buildings:The case of Nottingham Playhouse

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Frontiers of Architectural Research 2022年第1期11卷 142-160页

作者： Amin Al-Habaibeh Allan Hawas Lama Hamadeh Benachir Medjdoub Julian Marsh arijit sen Product Innovation Centre School of ArchitectureDesign and the Built EnvironmentNottingham Trent UniversityNottinghamUK Future Energy Center(FEC) School of Business Society and EngineeringDepartment of Civil Engineering and Energy SystemsMälardalen UniversityVästeråsSweden Department of Architecture and Planning Sheffield Hallam UniversitySheffieldUK

Today,there is a growing interest in developing energy efficient buildings since it is estimated that buildings account for about 40%of the total primary energy consumption in the *** relation to existing buildings,energy efficiency retrofits have become an important opportunity to upgrade the energy performance of commercial,public and residential buildings that may reduce the energy consumption,demand and *** this paper we cover the energy efficiency deep retrofit process that has been carried out for Nottingham Playhouse theatre building for the aim of enhancing its environmental performance and analysing the energy efficiency gained after implementing certain proposed *** is a nationally protected historic building,listed as Grade II*on The National Heritage List for England(NHLE).The building has had insulation enhancement,doors modifications,solar energy installations,energy-saving lights,in addition to improved heating and air conditioning *** paper presents a novel methodology;and its results indicate significant improvements in the building’s energy performance which is demonstrated using infrared thermographic images and data logger sensors where significant energy savings to the building’s thermal performance are *** energy saving measures have been completed while maintaining the heritage building’s general appearance and architectural features,which have received a Commendation Certificate from The Nottingham Civic Society for this achievement.

关键词： Deep retrofitting Energy Buildings Insulation Heritage buildings

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Studies on thermoresponsive polymers:Phase behaviour,drug delivery and biomedical applications

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Asian Journal of Pharmaceutical Sciences 2015年第2期10卷 99-107页

作者： arijit Gandhi Abhijit Paul Suma Oommen sen Kalyan Kumar sen Department of Pharmaceutics Gupta College of Technological SciencesAshram MoreG.T.RoadAsansol 713301West BengalIndia

The present review aims to highlight the applications of thermoresponsive ***-responsive polymers show a sharp change in properties upon a small or modest change in *** behaviour can be utilized for the preparation of so-called‘smart’drug delivery systems,which mimic biological response behaviour to a certain *** materials are used in the development of several applications,such as drug delivery systems,tissue engineering scaffolds and gene *** in this field are particularly relevant to applications in the areas of regenerative medicine and drug *** review addresses summary of the main applications of thermoresponsive polymers which are categorized based on their 3-dimensional structure;hydrogels,interpenetrating networks,micelles,films and *** physico-chemical behaviour underlying the phase transition is also discussed in brief.

关键词： Thermoresponsive polymers Phase transition Drug delivery Tissue engineering

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