Download or read book Integrating Physical and Data driven Perspectives on Building Energy Performance written by Alexandra Ilana Nutkiewicz and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities are the epicenters of our everyday lives. As they account for over 75% of primary energy consumption and 80% of all greenhouse gas emissions globally, the need to decarbonize the urban built environment is becoming increasingly dire. It is well-established that with a better understanding of how and when buildings consume energy, "low-hanging" solutions in the form of building retrofits can provide key energy, environmental, and economic improvements to cities. Fortunately, rapid growth in sensing technologies and smart city initiatives has led to a windfall of structured and unstructured data streams increasingly available to describe building energy consumption. Despite this broad availability of information describing our cities, we lack tools capable of making sense of this data. But when combined with interpretable visualization and computational techniques, they can produce once hidden insights to improve urban building energy performance. Thus, the overarching motivation for this dissertation is to propose new strategies that leverage emerging data sources to empower urban sustainability stakeholders to make informed decisions regarding their energy systems and built environments. To do so, this work introduces computational tools for two types of cities: data-rich and data-sparse cities. The first context area of study -- data-rich cities -- explores the capability of using high-fidelity data streams to predict building energy consumption while considering the impacts of the surrounding urban context. And the second area -- data-sparse cities -- looks to utilize limited observational and sensor data to evaluate how building design decisions influence the onset of heat stress and the demand for energy-intensive space cooling. Despite the unique energy challenges facing every city, creating interpretable, data-driven solutions can inform the future planning of the built environment to improve energy efficiency and human well-being. The results and methods I introduce in this dissertation contribute theoretical and practical knowledge to decision makers determining the energy sustainability future of our world.

Download or read book Data Driven Modelling of Non Domestic Buildings Energy Performance written by Saleh Seyedzadeh and published by Springer Nature. This book was released on 2021-01-15 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy. This book develops a framework for the quick selection of a ML model based on the data and application. It also proposes a method for optimising ML models for forecasting buildings energy loads by employing multi-objective optimisation with evolutionary algorithms. The book then develops an energy performance prediction model for non-domestic buildings using ML techniques, as well as utilising a case study to lay out the process of model development. Finally, the book outlines a framework to choose suitable artificial intelligence methods for modelling building energy performances. This book is of use to both academics and practising energy engineers, as it provides theoretical and practical advice relating to data-driven modelling for energy retrofitting of non-domestic buildings.

Download or read book Data driven Whole Building Energy Forecasting Model for Data Predictive Control written by Liang Zhang and published by . This book was released on 2018 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the United States, the buildings sector accounted for about 41% of primary energy consumption. Building control and operation strategies have a great impact on building energy efficiency and the development of building-grid integration. Model predictive control (MPC) has received extensive attention from researchers in the field of whole building control and operation strategies. To develop MPC for whole building control and operation, high-fidelity building energy forecasting model is one of the most critical components. Data-driven energy forecasting model is typically developed using statistical methods to capture the relationship between building energy consumption and collected building data, such as operation data. MPC built with a data-driven model is also termed as data predictive control (DPC). Due to the surge of machine learning and the advances of building automation system (BAS), data-driven energy forecasting model and DPC for building control are increasingly studied in academia and applied in industry. However, three gaps impede the development of high-fidelity and cost-effective data-driven building energy forecasting models and predictive control strategies: Gap 1: Active learning, the key to defy data bias in building operation data, is hardly studied and applied to the area of data-driven building energy forecasting modeling; Gap 2: Feature selection to defy high data dimensionality is widely applied to building energy modeling process but there lacks a systematic and scalable methodology; Gap 3: Active learning and feature selection have not been systematically integrated for whole building DPC application. In this dissertation, to address the three gaps mentioned above, three research objectives are proposed: Objective 1: Develop active learning strategies in the application of data-driven building energy forecasting modeling to defy data bias; Objective 2: Develop a systematic feature selection procedure in the application of data-driven building energy forecasting modeling to defy high data dimensionality; Objective 3: Develop an integrated active learning and feature selection framework for data-driven building energy forecasting modeling used for whole building DPC application. In this thesis, the integrated framework of active learning and feature selection is developed to improve the performance of data-driven building energy forecasting modeling that can be used for future DPC applications. The framework provides a systematic methodology and automatic workflow that starts with collecting raw data from BAS to the establishment of data-driven energy models and DPC controllers. The developed strategies and framework are evaluated in a number of virtual and real building testbeds. Improved performance is observed from the building energy forecasting models built using the developed active learning strategy, systematic feature selection procedure, and integrated framework of active learning and feature selection, respectively. A DPC controller is also developed using an energy forecasting model built with the developed framework. Using virtual testbeds, the developed DPC controller is demonstrated to have better performance, in terms of total electricity cost, peak load shifting capability, and average CPU time, which further shows the effectiveness of the developed framework.

Download or read book Research Methods in Building Science and Technology written by Rahman Azari and published by Springer Nature. This book was released on 2021-09-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the range of methodological approaches, methods and tools currently used in various areas of building science and technology research and addresses the current lack of research-method literature in this field. The book covers the use of measurement-based methods in which data is collected by measuring the properties and their variations in ‘actual’ physical systems, simulation-based methods which work with ‘models’ of systems or processes to describe, examine and analyze their behaviors, performances and operations, and data-driven methodologies in which data is collected via measurement or simulation to identify and examine the associations and patterns and predict the future in a targeted system. The book presents a survey of key methodologies in various specialized areas of building science and technology research including window systems, building enclosure, energy performance, lighting and daylighting, computational fluid dynamics, indoor and outdoor thermal comfort, and life cycle environmental impacts. Provides advanced insight into the research methods and presents the key methodologies within the field of building science and technology. Reviews simulation-based and experimentation/field-based methods of data collection and analysis in diverse areas of building science and technology, such as energy performance, window and enclosure studies, environmental LCA, daylighting, CFD, and thermal comfort. Provides a range of perspectives from building science faculty and researcher contributors with diverse research interests. Appropriate for use in university courses.

Download or read book Building Energy Modeling written by Can Cui and published by . This book was released on 2016 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buildings consume nearly 50% of the total energy in the United States, which drives the need to develop high-fidelity models for building energy systems. Extensive methods and techniques have been developed, studied, and applied to building energy simulation and forecasting, while most of work have focused on developing dedicated modeling approach for generic buildings. In this study, an integrated computationally efficient and high-fidelity building energy modeling framework is proposed, with the concentration on developing a generalized modeling approach for various types of buildings. First, a number of data-driven simulation models are reviewed and assessed on various types of computationally expensive simulation problems. Motivated by the conclusion that no model outperforms others if amortized over diverse problems, a meta-learning based recommendation system for data-driven simulation modeling is proposed. To test the feasibility of the proposed framework on the building energy system, an extended application of the recommendation system for short-term building energy forecasting is deployed on various buildings. Finally, Kalman filter-based data fusion technique is incorporated into the building recommendation system for on-line energy forecasting. Data fusion enables model calibration to update the state estimation in real-time, which filters out the noise and renders more accurate energy forecast. The framework is composed of two modules: off-line model recommendation module and on-line model calibration module. Specifically, the off-line model recommendation module includes 6 widely used data-driven simulation models, which are ranked by meta-learning recommendation system for off-line energy modeling on a given building scenario. Only a selective set of building physical and operational characteristic features is needed to complete the recommendation task. The on-line calibration module effectively addresses system uncertainties, where data fusion on off-line model is applied based on system identification and Kalman filtering methods. The developed data-driven modeling framework is validated on various genres of buildings, and the experimental results demonstrate desired performance on building energy forecasting in terms of accuracy and computational efficiency. The framework could be easily implemented into building energy model predictive control (MPC), demand response (DR) analysis and real-time operation decision support systems.

Download or read book Data driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang and published by Springer Nature. This book was released on 2021-09-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Download or read book Handbook of Integration of Cloud Computing Cyber Physical Systems and Internet of Things written by Rajiv Ranjan and published by Springer Nature. This book was released on 2020-11-04 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers recent advances in the integration of three areas, namely, cloud computing, cyber-physical systems, and the Internet of things which is expected to have a tremendous impact on our daily lives. It contains a total of thirteen peer-reviewed and edited chapters. This book covers topics such as context-aware cyber-physical systems, sustainable cloud computing, fog computing, and cloud monitoring; both the theoretical and practical aspects belonging to these topics are discussed. All the chapters also discuss open research challenges in the areas mentioned above. Finally, the handbook presents three use cases regarding healthcare, smart buildings and disaster management to assist the audience in understanding how to develop next-generation IoT- and cloud-enabled cyber-physical systems. This timely handbook is edited for students, researchers, as well as professionals who are interested in the rapidly growing fields of cloud computing, cyber-physical systems, and the Internet of things.

Download or read book Integration of Data driven Methods and Building Physics Modelling for Prediction of Building Energy Use in Urban Contexts written by Giovanni Tardioli and published by . This book was released on 2019 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book eWork and eBusiness in Architecture Engineering and Construction written by Karsten Menzel and published by CRC Press. This book was released on 2010-09-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1994, the European Conference on Product and Process Modelling has provided a discussion platform for research and development in Architecture, Engineering, Construction and Facilities Management sectors.eWork and eBusiness in Architecture, Engineering and Construction 2010 provides strategic knowledge on the achievements and trends in resear

Download or read book New Metropolitan Perspectives written by Francesco Calabrò and published by Springer. This book was released on 2018-05-19 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the role of cities and the urban–rural linkages in spurring innovation embedded in spatial planning, strategic and economic planning, and decision support systems. In particular, the contributions examine the complexity of the current transitional phase towards achieving smart, inclusive and sustainable growth, and investigate the post-2020 UE cohesion policy.The main topics include: Innovation dynamics and smart cities; Urban regeneration – community-led and PPP; Inland and urban area development; Mobility, accessibility, infrastructures; Heritage, landscape and Identity; and Risk management, Environment and Energy.The book includes a selection of articles accepted for presentation and discussion at the 3rd International Symposium New Metropolitan Perspectives (ISTH2020), held at the University of Reggio Calabria, Italy on 22–25 May 2018. The symposium, which addressed the challenge of local knowledge and innovation dynamics towards territory attractiveness, hosted the final event of the MAPS-LED project under Horizon2020 – MSCA RISE.

Download or read book Integrated Project Design written by Bárbara Rangel and published by Springer Nature. This book was released on 2023-06-30 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Project Design/Delivery is not new, but in recent years, it has been achieving the status of yet another acronym, more connected to its contractual details than to the actual meaning of the profound change in how work is to be developed. This book clarifies this situation by presenting several examples in academia, research and practical design situations, ranging from the use of old-style expression media, such as handmade drawings, to comprehensive digitalisation processes. The IPD model is shown as an effective way to tackle the ever-increasing challenges of balancing productivity with the urgent demands for designs that embrace decarbonisation, net-zero buildings, energy efficiency, modularisation and disassembly, including lessons learned from Industrial Design. IPD is a mindset that clashes with the traditional academic model of placing architecture and engineering in different (and frequently opposite) fields. Actual examples of course syllabuses’ that disrupt this approach are also presented, showing how wide collaboration from the early stages of the design process can improve the sought-after result, providing future professionals with a hands-on experience of its efficiency as a work methodology.

Download or read book ECPPM 2021 eWork and eBusiness in Architecture Engineering and Construction written by Vitaly Semenov and published by CRC Press. This book was released on 2021-04-28 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: eWork and eBusiness in Architecture, Engineering and Construction 2021 collects the papers presented at the 13th European Conference on Product and Process Modelling (ECPPM 2021, Moscow, 5-7 May 2021). The contributions cover a wide spectrum of thematic areas that hold great promise towards the advancement of research and technological development targeted at the digitalization of the AEC/FM (Architecture, Engineering, Construction and Facilities Management) domains. High quality contributions are devoted to critically important problems that arise, including: Information and Knowledge Management Semantic Web and Linked Data Communication and Collaboration Technologies Software Interoperability BIM Servers and Product Lifecycle Management Systems Digital Twins and Cyber-Physical Systems Sensors and Internet of Things Big Data Artificial and Augmented Intelligence in AEC Construction Management 5D/nD Modelling and Planning Building Performance Simulation Contract, Cost and Risk Management Safety and Quality Sustainable Buildings and Urban Environments Smart Buildings and Cities BIM Standardization, Implementation and Adoption Regulatory and Legal Aspects BIM Education and Training Industrialized Production, Smart Products and Services Over the past quarter century, the biennial ECPPM conference series, as the oldest BIM conference, has provided researchers and practitioners with a unique platform to present and discuss the latest developments regarding emerging BIM technologies and complementary issues for their adoption in the AEC/FM industry.

Download or read book Building Performance Analysis written by Pieter de Wilde and published by John Wiley & Sons. This book was released on 2018-05-31 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores and brings together the existent body of knowledge on building performance analysis Shortlisted in the CIBSE 2020 Building Performance Awards Building performance is an important yet surprisingly complex concept. This book presents a comprehensive and systematic overview of the subject. It provides a working definition of building performance, and an in-depth discussion of the role building performance plays throughout the building life cycle. The book also explores the perspectives of various stakeholders, the functions of buildings, performance requirements, performance quantification (both predicted and measured), criteria for success, and the challenges of using performance analysis in practice. Building Performance Analysis starts by introducing the subject of building performance: its key terms, definitions, history, and challenges. It then develops a theoretical foundation for the subject, explores the complexity of performance assessment, and the way that performance analysis impacts on actual buildings. In doing so, it attempts to answer the following questions: What is building performance? How can building performance be measured and analyzed? How does the analysis of building performance guide the improvement of buildings? And what can the building domain learn from the way performance is handled in other disciplines? Assembles the current body of knowledge on building performance analysis in one unique resource Offers deep insights into the complexity of using building performance analysis throughout the entire building life cycle, including design, operation and management Contributes an emergent theory of building performance and its analysis Building Performance Analysis will appeal to the building science community, both from industry and academia. It specifically targets advanced students in architectural engineering, building services design, building performance simulation and similar fields who hold an interest in ensuring that buildings meet the needs of their stakeholders.

Download or read book Building Performance Simulation for Design and Operation written by Jan L.M. Hensen and published by Routledge. This book was released on 2019-04-24 with total page 958 pages. Available in PDF, EPUB and Kindle. Book excerpt: When used appropriately, building performance simulation has the potential to reduce the environmental impact of the built environment, to improve indoor quality and productivity, as well as to facilitate future innovation and technological progress in construction. Since publication of the first edition of Building Performance Simulation for Design and Operation, the discussion has shifted from a focus on software features to a new agenda, which centres on the effectiveness of building performance simulation in building life cycle processes. This new edition provides a unique and comprehensive overview of building performance simulation for the complete building life cycle from conception to demolition, and from a single building to district level. It contains new chapters on building information modelling, occupant behaviour modelling, urban physics modelling, urban building energy modelling and renewable energy systems modelling. This new edition keeps the same chapter structure throughout including learning objectives, chapter summaries and assignments. Moreover, the book: • Provides unique insights into the techniques of building performance modelling and simulation and their application to performance-based design and operation of buildings and the systems which service them. • Provides readers with the essential concepts of computational support of performance-based design and operation. • Provides examples of how to use building simulation techniques for practical design, management and operation, their limitations and future direction. It is primarily intended for building and systems designers and operators, and postgraduate architectural, environmental or mechanical engineering students.

Download or read book eWork and eBusiness in Architecture Engineering and Construction written by Gudni Gudnason and published by CRC Press. This book was released on 2012-07-06 with total page 978 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1994, the European Conferences of Product and Process Modelling (www.ecppm.org) have provided a review of research, development and industrial implementation of product and process model technology in the Architecture, Engineering, Construction and Facilities Management (AEC/FM) industry. Product/Building Information Modelling has matured significantly in the last few years and has never been closer to having a permanent impact on the AEC/FM industry as a mainstream technology. In this context the 9th European Conference of Product and Process Modelling provided a forum for leading experts to discuss the latest achievements, emerging trends and future directions in product and process modelling technology in this dynamic and fragmented industry, focusing on integrated project working, value-based life cycle management and intelligent and sustainable buildings and construction. eWork and eBusiness in Architecture, Engineering and Construction 2012 provides a comprehensive overview of topics including BIM in all life-cycle stages, ICT for energy efficiency, smart buildings and environmental performance, energy and building simulation, knowledge and semantic modelling, visualization technologies as well as tools and methods to support innovations in design and construction processes. It further includes the proceedings of the 3rd Workshop on eeBuildings Data Models (Energy Efficiency Vocabularies), which aim to identify ICT Energy Efficiency Vocabularies and Ontologies to foster interoperability of Energy Efficiency Management Systems. eWork and eBusiness in Architecture, Engineering and Construction 2012 will be of interest to academics and professionals working in the interdisciplinary area of information technology in architecture, engineering and construction.

Download or read book Data Driven Design and Construction written by Randy Deutsch and published by John Wiley & Sons. This book was released on 2015-08-27 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: “In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.

Download or read book Data driven BIM for Energy Efficient Building Design written by Saeed Banihashemi and published by Taylor & Francis. This book was released on 2022-12-16 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and to develop its functional solutions with a focus on four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM-intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions, a gap that is missed in the extant literature and that this book aims to fill. This approach will inform a vision for future and provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that is sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.