461 research outputs found
Field measurement dataset of a nearly zero-energy office building in temperate oceanic climate
No full textThis dataset contains the building performance values of a nearly zero-energy office building, Clinic Saint-Pierre, in the temperate climatic zone (Cfb) as per the Köppen-Geiger-Peel classification near Brussels, Belgium. From May 2018 to April 2019, the indoor thermal conditions and energy consumption of the building were monitored. The dataset was used to investigate the time-integrated thermal discomfort, primary energy use, and GHG emissions from the building. The hourly outdoor air temperature was gathered from the weather station installed outside Clinic Saint-Pierre. The monitored data was obtained from the Energy Management System (EMS) maintained by Engie Cofely.BElgian WAllonia REsearcher7. Affordable and clean energy11. Sustainable cities and communitiesThis dataset contains the building performance values of a nearly zero-energy office building, Clinic Saint-Pierre, in the temperate climatic zone (Cfb) as per the Köppen-Geiger-Peel classification near Brussels, Belgium. From May 2018 to April 2019, the indoor thermal conditions and energy consumption of the building were monitored. The dataset was used to investigate the time-integrated thermal discomfort, primary energy use, and GHG emissions from the building. The hourly outdoor air temperature was gathered from the weather station installed outside Clinic Saint-Pierre. The monitored data was obtained from the Energy Management System (EMS) maintained by Engie Cofely.Version
Building energy performance simulation model for a nearly zero-energy office in Brussels
No full textA building energy performance simulation model for a nearly zero-energy office building in Brussels, Belgium, is developed using DesignBuilder and EnergyPlus. The model uses a reversible VRF unit (electric) with DX cooling coils and DX heating coils. The rated COP value for cooling and heating for VRF systems is defined in the model. The minimum and maximum temperature values, thresholds below and above which the cooling and heating system will be disabled, can also be defined in the model.Project SurChauffe3. Good health and well-being11. Sustainable cities and communities1.
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Relational Care - with Mary Larkin and Manik Deepak-Gopinath [Podcast]
No full textWhat is 'relational care' and how can it improve the day-to-day experience of carers and those they care for? What are its implications for relationships between staff and service users in care settings? And how does the concept of relational care enable us to re-imagine the role of place and space in the experience of care? These are some of the questions we explore in this episode with Mary Larkin and Manik Deepak-Gopinath who recently completed a research project on the value and practice of relational care with older people.
Mary is Professor of Care, Carers and Caring at The Open University in the UK, where her research has focused on carers and caring and adult social care. She is the co-author, most recently of Family Carers and Caring, published in 2023 by Emerald. Manik is a Lecturer in Ageing, also at The Open University, and is a critical gerontologist with interests in the intersection of ageing, place and wellbeing, and in the intimate and family ties of older adults
My Name Is Deepak
No full textThis chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p
Sideffective - system to mine patient reviews: sentiment analysis
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch
Overheating Indicator and Calculation Method for Walloon Buildings
No full textOverheating in buildings is expected to be more intense and prolonged due to the current rate of climate change and global warming. There is a significant need for resilient building design and therefore it is mandatory to develop calculation methods and indicators to avoid overheating and invest in carbon neutral cooling technologies and sustainable solutions. There is still a challenge of keeping the occupants safe, comfortable, and productive in an affordable way despite the rising temperatures and changes in the rainfall and solar irradiance.Project SurChauff
Building Overheating Concepts and Weather Patterns in Belgium
No full textThis report analyzes the principles of thermal comfort in the buildings. The building sector plays a major role in energy demand and consumption for space heating and cooling. To ensure lower CO2 emissions and better energy savings, it is important to improve the energy efficiency in the buildings. The report analyzes the different cooling technologies for residential buildings. The report also studies design day calculations and extreme events like heat waves, power outages, etc.FinalProject SurChauff
Comparative assessment of night ventilation performance in a nearly zero-energy office building during heat waves in Brussels
No full textpeer reviewedWith increasing urbanization, overheating intensifies, resulting in a greater risk of indoor overheating in commercial buildings, which already have high internal gains. The impact of urban climate on the cooling energy needs of buildings has been extensively researched. However, the building performance during extreme heat events needs further investigation to reduce the energy demand from the grid during critical events and to ensure an acceptable indoor thermal environment. Here, a comparative assessment approach for natural and mechanical night ventilation performance to reduce indoor overheating and energy needs of a nearly zero-energy office building in Brussels, Belgium, was evaluated for the heat wave and non-heat wave periods in urban and rural microclimates, using calibrated thermal-energy simulations. The analysis indicated that active cooling with natural night ventilation was more effective during heat waves than other cooling strategies. In addition, natural night ventilation was also effective in maintaining safer levels of heat index values in the reference office compared to other strategies. Natural night ventilation reduced overheating by 0.39 °C in the urban microclimate and 0.50 °C in the rural microclimate relative to the Baseline. Considering the cooling energy use, natural night ventilation had no significant impact. In contrast, mechanical night ventilation increased energy use by 0.54 kWh/m2 in urban microclimate and 0.40 kWh/m2 in rural microclimate due to prolonged ventilation fan operation in the reference office building. The presented findings in the paper lead to the formulation of design guidelines, recommendations for future practices and identifying needs for further research.Project SurChauff
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