9,150 research outputs found

    A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

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    In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique was to maintain a balance between user comfort and energy requirements such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gap in the literature is due to the advancements in the technology and drawbacks of the optimization algorithms and the introduction of different new optimization algorithms. Further, many newly proposed optimization algorithms which have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. The detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes

    “No powers, man!”: A student perspective on designing university smart building interactions

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    Smart buildings offer an opportunity for better performance and enhanced experience by contextualising services and interactions to the needs and practices of occupants. Yet, this vision is limited by established approaches to building management, delivered top-down through professional facilities management teams, opening up an interaction-gap between occupants and the spaces they inhabit. To address the challenge of how smart buildings might be more inclusively managed, we present the results of a qualitative study with student occupants of a smart building, with design workshops including building walks and speculative futuring. We develop new understandings of how student occupants conceptualise and evaluate spaces as they experience them, and of how building management practices might evolve with new sociotechnical systems that better leverage occupant agency. Our findings point to important directions for HCI research in this nascent area, including the need for HBI (Human-Building Interaction) design to challenge entrenched roles in building management

    Towards an Architecture Operating as a Bio-Cyber-Physical System

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    Today’s physical-digital continuum challenges designers and architects to envision architecture as a Bio-Cyber-Physical System that is operating as part of a larger ecosystem while addressing societal challenges with a broader understanding of sustainability in mind.  This paper identifies current conditions, challenges and opportunities, while proposing an intercultural dialog toward achieving a better future. The purpose is to enlighten and explore the threshold where the physical interlaces the domain of immaterial flows of information as well as identify some of the digital and material design aspects shaping the multiple facets of bio-cyber-physical-systems in order to propose some possible solutions for current design challenges. &nbsp

    Characterizing smart environments as interactive and collective platforms: A review of the key behaviors of responsive architecture

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    Since architect Nicholas Negroponte first proposed a vision of responsive architecture smart environments have been widely investigated, especially in the fields of computer science and engineering. Despite growing interest in the topic, a comprehensive review of research about smart environments from the architectural perspective is largely missing. In order to provide a formal understanding of smart environments in architecture, this paper conducts a systematic literature review of scholarly sources over the last decade, focusing on four related subjects: (1) responsive architecture, (2) kinetic architecture, (3) adaptive architecture and (4) intelligent buildings. Through this review, the paper identifies and examines interactive and collective behaviors in smart environments, thereby contributing to defining the properties of creative, smart spaces in the contemporary digital ecosystem. In addition, this research offers a means of systematically characterizing and constructing smart environments as interactive and collective platforms, enabling occupants to sense, experience and understand smart spaces

    Integrating Features of Islamic Traditional Home and Smart Home

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    Architecture is a mirror that reflects the various elements of its environment and surroundings, such as climate, geographical characteristics, standard architectural principles, and social, cultural and scientific developments. Muslims of different regions were able, through architecture, to portray their temperaments and environments, free of external influence and guarantee life goals for users. Every day, building owners and occupants experience the constant challenges of comfort, convenience, cost, productivity, performance and sustainability. Owners, designers, builders, and operators are continuously faced with new processes, technologies and offerings to help them achieve better building performance. Since an intelligent building is run by a “system of systems” that is integrated to deliver a higher level of operational efficiency and an improved set of user-interface tools than are usually found in traditional building automation; at the other hand Arab homes with Islamic Identity guarantee all life goals for use.. Hence, this research focus on the smart environmental treatments of Islamic features for traditional architecture in Arabs homes, features of smart home and life goals for resident users.Trying to achieve a methodology combining them for enriching Arab experience of traditional architecture and its architectural results, with the modern trends of smart architecture. This combination aims at creating a residential model combining the benefits and features of Arab Islamic identity and intelligent design

    Microservices and Machine Learning Algorithms for Adaptive Green Buildings

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    In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings

    Adaptive architecture: Regulating human building interaction

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    In this paper we explore regulatory, technical and interactional implications of Adaptive Architecture, a novel trend emerging in the built environment. We provide a comprehensive description of the emergence and history of the term, with reference to the current state of the art and policy foundations supporting it e.g. smart city initiatives and building regulations. As Adaptive Architecture is underpinned by the Internet of Things (IoT), we are interested in how regulatory and surveillance issues posed by the IoT manifest in buildings too. To support our analysis, we utilise a prominent concept from architecture, Stuart Brand’s Shearing Layers model, which describes the different physical layers of a building and how they relate to temporal change. To ground our analysis, we use three cases of Adaptive Architecture, namely an IoT device (Nest Smart Cam IQ); an Adaptive Architecture research prototype, (ExoBuilding); and a commercial deployment (the Edge). In bringing together Shearing Layers, Adaptive Architecture and the challenges therein, we frame our analysis under 5 key themes. These are guided by emerging information privacy and security regulations. We explore the issues Adaptive Architecture needs to face for: A – ‘Physical & information security’; B – ‘Establishing responsibility’; C – ‘occupant rights over flows, collection, use & control of personal data’; D- ‘Visibility of Emotions and Bodies’; & E – ‘Surveillance of Everyday Routine Activities’. We conclude by summarising key challenges for Adaptive Architecture, regulation and the future of human building interaction

    Adaptive Architecture:Regulating human building interaction

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    In this paper, we explore the regulatory, technical and interactional implications of Adaptive Architecture (AA) and how it will recalibrate the nature of human-building interaction. We comprehensively unpack the emergence and history of this novel concept, reflecting on the current state of the art and policy foundations supporting it. As AA is underpinned by the Internet of Things (IoT), we consider how regulatory and surveillance issues posed by the IoT are manifesting in the built environment. In our analysis, we utilise a prominent architectural model, Stuart Brand’s Shearing Layers, to understand temporal change and informational flows across different physical layers of a building. We use three AA applications to situate our analysis, namely a smart IoT security camera; an AA research prototype; and an AA commercial deployment. Focusing on emerging information privacy and security regulations, particularly the EU General Data Protection Regulation 2016, we examine AA from 5 perspectives: physical & information security risks; challenges of establishing responsibility; enabling occupant rights over flows, collection, use & control of personal data; addressing increased visibility of emotions and bodies; understanding surveillance of everyday routine activities. We conclude with key challenges for AA regulation and the future of human–building interaction

    Biophilic, photobiological and energy-efficient design framework of adaptive building façades for Northern Canada

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    This paper develops an integrated design framework of adaptive building façades (ABFs) to respond to photobiological and thermal needs of occupants, biophilic factors, energy requirements and climatic features in Northern Canada, i.e. near and above 50°N. The paper discusses the importance of biophilic and photobiological factors and ABFs to improve occupants’ health and human-nature relations and deal with the extreme climate in Northern Canada where non-adapted buildings that could negatively affect occupants’ wellbeing. The paper shows that existing ABFs must be further developed for northern applications in terms of (i) the physical structure and configuration of components (ii) the design of solar shading/louver panels to address photobiological and biophilic requirements (iii) the development of lighting adaptation scenarios to respond to biophilic and photobiological needs, local photoperiods and energy issues, and (iv) the overall biophilic quality for accessibility to natural patterns. The ABFs’ framework was developed in three phases including (1) process environmental data (2) produce adaptation scenarios, and (3) operate adaptation scenarios. The research discussed major issues of all phases that must be further studied, especially the development of hourly/daily/seasonally lighting adaptation scenarios. The paper develops a holistic parametric methodology to integrate and optimize major design variables of ABF’s components
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