The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform
Zhang Kaiying - One of the best experts on this subject based on the ideXlab platform.
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Studying Building behaviors by using the Building Management System of a new teaching Building : A study case of a school Building in Stockholm
KTH Hållbara byggnader, 2020Co-Authors: Zhang KaiyingAbstract:Building Management System (BMS) offers a wide range of measurements and historical data about the Building but few types of researches use these data to analyze the Building performance. This study aims to explore the indoor climate and Building insulation by taking advantage of the BMS of the study case, which 767 sensors are installed in the room and wall structures and the signal data are available at the online web application. In addition, during the inspection, several error sensors and meters are detected are discussed as feedback for the System. It is concluded that the Building Management System is a good tool to study the Building performance in different aspects and the measurements from the sensors are helpful but need validation by conducting a further field measurement in the Building
Rouwenhors T. - One of the best experts on this subject based on the ideXlab platform.
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Optimising the Building Management System in smart passive Buildings
2020Co-Authors: Rouwenhors T.Abstract:The MOR prototype is a smart passive Building with a central Building Management System to control and optimise the operation of the active and passive Building Systems and therefore reduce the energy consumption of the Building and improve the users comfort conditions (MOR Team, 2019b). During the competition, the Systems in the prototype were set to function in the Hungarian climate (Warm-summer humid continental climate according to the Köppen climate classification) whereas the Netherlands has a temperate oceanic climate. Showing that the MOR prototype can function efficiently in both Hungarian and Dutch climates with only changing the settings of the Building Management System can prove that it will also be able to function efficiently when the local climate will change. This research is aiming to extend the period in which the passive Systems are used within the Building Management System in order to minimize the energy consumption while improving the comfort conditions. The following research questions will be used to find the important aspects to be considered: Which parameters have the biggest influence? What are the comfort conditions that the Building Management System has to reach? How is the Building Management System currently programmed? Can simulations optimise these setpoints? The parameters that have the biggest influence on the total energy consumption of a Building are space heating (16 %) and water heating (21 %). The biggest is electrical appliances (33 %) but these are not influenced by the Building Management System (Nuiten, et al., 2019). For thermal comfort, the Adaptive Temperature Limits guideline suggests a range of temperatures based on a calculated average of the four preceding days (van der Linden, Boerstra, Raue, Kurvers, & de Dear, 2006). For indoor air quality, a maximum CO2 level was found of 800 ppm above the normal outdoor level of around 400 ppm (VLA, TNO, Peutz BV en Nieman Raadgevende Ingenieurs BV., 2018). And for relative humidity, a range of 30 – 70 % was found for an indoor temperature of 18 – 24 °C (BOOM-SI, Milieukundig Onderzoek-& OntwerpBuro, 2019). For visual comfort, there are no standards for residential Buildings. A recommendation for the amount of light needed in a room is based on the activities. For the average room, a minimum of around 300 lux is found. For areas with more precise work such as the workstation, kitchen counter or bathroom mirror, a minimum of 500 lux is recommended (Bodart, et al., 2011). Acoustical comfort is not controlled by the Building Management System. Finally, a Grasshopper model is made with Ladybug, Honeybee and Ironbug plugins to use with the modeFRONTIER optimisation software. After comparing simulations made by this model to measurements inside the MOR prototype, it turns out that this model is not able to accurately simulate the different Systems. Therefore the existing DesignBuilder model is used for optimisations with the built-in optimisation engine of DesignBuilder. The optimisations show that for the MOR prototype, an energy consumption reduction of 11 % per year could be realised if the heating setpoint is raised from 20,5 °C to 20,8 °C and the mechanical ventilation rate is reduced from 1,3 ach to 1,0 ach. An additional 2 % could be saved by not using active cooling. Because natural ventilation in the model is only considered as a cooling strategy and not as an air quality control strategy the optimisations showed that no natural ventilation is necessary. The workflow as described in this report can be used for optimising the setpoints in other Buildings using Building Management Systems. Further research is needed to be able to optimise all setpoints mentioned in this report.Architecture, Urbanism & Building Science
Erich Miguel Oliveira Almeida Da ,gama - One of the best experts on this subject based on the ideXlab platform.
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Projeto Elétrico e de Gestão Técnica Centralizada de uma Unidade Hospitalar
2021Co-Authors: Erich Miguel Oliveira Almeida Da ,gamaAbstract:Na presente dissertação foi elaborado um projeto elétrico de uma clínica médica com 3900m2. Constituída por 3 pisos, rés-do-chão que é composto pelo acesso à clínica, zonas de circulação e espera, diversos gabinetes médicos, sala de operações, tratamento e recuperação, instalações sanitárias e zonas técnicas. O piso 1 é constituído somente por um patamar intermédio de acesso ao piso 2 e uma zona técnica. No piso 2 localiza-se o ginásio terapêutico, gabinetes médicos, zonas técnicas e ainda instalações sanitárias. Associado ao projeto elétrico desenvolveu-se o projeto de Gestão Técnica Centralizada (GTC), em conjunto com uma solução de iluminação controlada pelo protocolo Digital Adressable Lighting Interface (D.A.L.I.). A clínica em questão é composta por bloco operatório e várias máquinas que necessitam de alimentação a energia socorrida, deste modo foram projetadas fontes de alimentação ininterruptas (Uninterruptible Power Supply-UPS) para a Sala de Operações, uma outra para socorrer tomadas e equipamentos distribuídos pela clínica e ainda uma UPS para garantir o funcionamento dos equipamentos de desenfumagem. Foi também preconizado um grupo gerador destinado aos circuitos considerados prioritários e/ou de emergência de modo a garantir a alimentação de energia em caso de falha de abastecimento normal de eletricidade. Para fácil monotorização de todos os sistemas e órgãos vitais do edifício foi elaborado o projeto de GTC. Este tipo de sistema é um instrumento que ajudará a estabelecer, adaptar e readaptar, estratégias operacionais, de modo a facilitar e satisfazer, com eficiência, as reais necessidades da clínica. O sistema deverá possuir um posto de supervisão com capacidade suficiente para a manipulação da informação requerida, baseada numa arquitetura servidor/cliente com capacidade de armazenamento de históricos, eventos e alarmes, de modo a que permita ao utilizador do sistema de GTC local ou remotamente através da internet, o acesso ao controlo e gestão de energia de todos os componentes do edifício ligados aos servidores de automação de cada rede local que o compõe. No sentido de se obter uma elevada eficiência energética, no que diz respeito à iluminação, optou-se por fazer o controlo da mesma através da tecnologia D.A.L.I.. Com este tipo de interface é possível ligar, desligar e regular a luz, assim como automatiza-la, sendo ainda possível regular o fluxo luminoso e programar diferentes cenários para diferentes alturas do dia, aproveitando assim da melhor forma as demais distintas áreas de ocupação da clínica. Com a realização dos aspetos anteriormente referidos, foi possível adquirir conhecimentos relativamente à complexidade associada aos diversos sistemas. Essa perceção foi motivada pela consulta dos dados técnicos dos diferentes produtos e materiais, da aplicação de todos os componentes e finalizada com os resultados obtidos no projeto final. Desta forma, permitiu esclarecer questões pouco evidenciadas durante o meu percurso universitário.On the present dissertation it was elaborated an electric project of a medical clinic with 3900m2. Consisting of 3 floors, ground floor that includes the clinic entrance, waiting and circulation zones, medical offices, surgery room, treatment and recovery room, sanitary facilities and technical areas. The first floor consists of an intermediate baseline where there is a technical area and the access to the second floor. On the second floor is the therapeutic gym, medical offices, technical areas and sanitary facilities. Associated with the electrical project was developed the Building Management System (BMS) project, together with a lighting solution controlled by Digital Addressable Lighting Interface protocol (D.A.L.I.). The clinic is comprised of an operating room and several machines that need to be supplied by assisted energy. In this way, Uninterruptible Power Supply (UPS), has been projected for the operating room, another to rescue plugs and equipment distributed by the clinic and a UPS to ensure the operation of the smoke extraction. A generator was also planned for priority and emergency circuits to guarantee the power supply in case of a normal electricity supply failure. For monitoring all the vital Systems of the Building were elaborated the BMS project. This type of System is an instrument that helps to establish, adapt and readapt the exchange settings, to efficiently facilitate and satisfy the real clinical needs. The System must reserve a supervision point with a System for data communication, events and alarms, in a way that can be used by the local BMS System or remotely through the internet. In order to achieve high energy efficiency, in terms of lighting, it was decided to control it through DALI technology. With this type of interface it is possible to switch on, switch off and regulate the light, it is still possible to regulate the luminous flux and to program different scenarios for different heights of the day, thus taking advantage of the different occupancy areas of the clinic. With the achievement of the above mentioned aspects, it was possible to acquire knowledge regarding the complexity associated with the various Systems. This perception was motivated by the consultation of the technical data of different products and materials, the application of all the components and finalized with the results obtained in the final project. In this way allowed clarifying issues less evidenced during my academic course
Nozière Gilles - One of the best experts on this subject based on the ideXlab platform.
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End-to-end deep metamodeling to calibrate and optimize energy loads
2020Co-Authors: Ma Cohe, Charbi Maurice, Sylvain Le Corff, Preda Marius, Nozière GillesAbstract:In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large Buildings. A metamodel based on a Transformer network is introduced and trained using a dataset sampled with a simulation program. Then, a few physical parameters and the Building Management System settings of this metamodel are calibrated using the CMA-ES optimization algorithm and real data obtained from sensors. Finally, the optimal settings to minimize the energy loads while maintaining a target thermal comfort and air quality are obtained using a multi-objective optimization procedure. The numerical experiments illustrate how this metamodel ensures a significant gain in energy efficiency while being computationally much more appealing than models requiring a huge number of physical parameters to be estimated
Ma Cohe - One of the best experts on this subject based on the ideXlab platform.
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End-to-end deep metamodeling to calibrate and optimize energy loads
2020Co-Authors: Ma Cohe, Charbi Maurice, Sylvain Le Corff, Preda Marius, Nozière GillesAbstract:In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large Buildings. A metamodel based on a Transformer network is introduced and trained using a dataset sampled with a simulation program. Then, a few physical parameters and the Building Management System settings of this metamodel are calibrated using the CMA-ES optimization algorithm and real data obtained from sensors. Finally, the optimal settings to minimize the energy loads while maintaining a target thermal comfort and air quality are obtained using a multi-objective optimization procedure. The numerical experiments illustrate how this metamodel ensures a significant gain in energy efficiency while being computationally much more appealing than models requiring a huge number of physical parameters to be estimated
