Data Driven Modelling Of Non Domestic Buildings Energy Performance

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Data-Driven Modelling of Non-Domestic Buildings Energy Performance

Saleh Seyedzadeh,Farzad Pour Rahimian
Data Driven Modelling of Non Domestic Buildings Energy Performance Book PDF

Author : Saleh Seyedzadeh,Farzad Pour Rahimian
Publisher : Springer Nature
Page : 161 pages
File Size : 53,5 Mb
Release : 2021-01-15
Category : Architecture
ISBN : 9783030647513

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Data-Driven Modelling of Non-Domestic Buildings Energy Performance by Saleh Seyedzadeh,Farzad Pour Rahimian Pdf

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.

Industry 4.0 Solutions for Building Design and Construction

Farzad Pour Rahimian,Jack Steven Goulding,Sepehr Abrishami,Saleh Seyedzadeh,Faris Elghaish
Industry 4 0 Solutions for Building Design and Construction Book PDF

Author : Farzad Pour Rahimian,Jack Steven Goulding,Sepehr Abrishami,Saleh Seyedzadeh,Faris Elghaish
Publisher : Taylor & Francis
Page : 421 pages
File Size : 47,5 Mb
Release : 2021-12-20
Category : Architecture
ISBN : 9781000506297

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Industry 4.0 Solutions for Building Design and Construction by Farzad Pour Rahimian,Jack Steven Goulding,Sepehr Abrishami,Saleh Seyedzadeh,Faris Elghaish Pdf

This book provides in-depth results and case studies in innovation from actual work undertaken in collaboration with industry partners in Architecture, Engineering, and Construction (AEC). Scientific advances and innovative technologies in the sector are key to shaping the changes emerging as a result of Industry 4.0. Mainstream Building Information Management (BIM) is seen as a vehicle for addressing issues such as industry fragmentation, value-driven solutions, decision-making, client engagement, and design/process flow; however, advanced simulation, computer vision, Internet of Things (IoT), blockchain, machine learning, deep learning, and linked data all provide immense opportunities for dealing with these challenges and can provide evidenced-based innovative solutions not seen before. These technologies are perceived as the “true” enablers of future practice, but only recently has the AEC sector recognised terms such as “golden key” and “golden thread” as part of BIM processes and workflows. This book builds on the success of a number of initiatives and projects by the authors, which include seminal findings from the literature, research and development, and practice-based solutions produced for industry. It presents these findings through real projects and case studies developed by the authors and reports on how these technologies made a real-world impact. The chapters and cases in the book are developed around these overarching themes: • BIM and AEC Design and Optimisation: Application of Artificial Intelligence in Design • BIM and XR as Advanced Visualisation and Simulation Tools • Design Informatics and Advancements in BIM Authoring • Green Building Assessment: Emerging Design Support Tools • Computer Vision and Image Processing for Expediting Project Management and Operations • Blockchain, Big Data, and IoT for Facilitated Project Management • BIM Strategies and Leveraged Solutions This book is a timely and relevant synthesis of a number of cogent subjects underpinning the paradigm shift needed for the AEC industry and is essential reading for all involved in the sector. It is particularly suited for use in Masters-level programs in Architecture, Engineering, and Construction.

Urban Climate Adaptation and Mitigation

Ayyoob Sharifi,Amir Reza Khavarian-Garmsir
Urban Climate Adaptation and Mitigation Book PDF

Author : Ayyoob Sharifi,Amir Reza Khavarian-Garmsir
Publisher : Elsevier
Page : 378 pages
File Size : 42,8 Mb
Release : 2022-09-16
Category : Political Science
ISBN : 9780323855532

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Urban Climate Adaptation and Mitigation by Ayyoob Sharifi,Amir Reza Khavarian-Garmsir Pdf

Uniquely focused on the contributions smart cities can make to climate change resilience, Urban Climate Adaptation and Mitigation offers evidence-based scientific solutions for improving cities’ abilities to prepare for, recover from, and adapt to global climate-related events. Beginning with the observation of global environmental change, this book explores what sustainable smart projects are, how they are adopted and evaluated, and how they can address climate change challenges. It brings together a wide variety of disciplines such as planning, transportation, and waste management to address issues related to climate change adaptation and mitigation in cities.In general, many social science researchers lack cohesive, broad-based literature knowledge; Urban Climate Adaptation and Mitigation bridges this gap and informs different types of stakeholders on how they can enhance their preparation abilities to enable real-time responses and actions. Therefore, it is a valuable reference for researchers, professors, graduate students, city planners, and policy makers. Application-focused throughout, this book explores the complexities of urban systems and subsystems to support researchers, planners, and decision makers in their efforts toward developing more climate-resilient smart cities. Provides a structured in-depth analysis of smart city cases from around the world Introduces evidence-based toolkits and frameworks for assessing actual and/or potential contributions of smart city solutions to climate resilience Includes state-of-the-art literature review and glossary

Smart Buildings Digitalization

O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Smart Buildings Digitalization Book PDF

Author : O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 413 pages
File Size : 52,7 Mb
Release : 2022-02-24
Category : Technology & Engineering
ISBN : 9781000537895

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Smart Buildings Digitalization by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

This book discusses various artificial intelligence and machine learning applications concerning smart buildings. It includes how renewable energy sources are integrated into smart buildings using suitable power electronic devices. The deployment of advanced technologies with monitoring, protection, and energy management features is included, along with a case study on automation. Overall, the focus is on architecture and related applications, such as power distribution, microgrids, photovoltaic systems, and renewable energy aspects. The chapters define smart building concepts and their related benefits. FEATURES Discusses various aspects of the role of the Internet of things (IoT) and machine learning in smart buildings Explains pertinent system architecture and focuses on power generation and distribution Covers power-enabling technologies for smart cities Includes photovoltaic system-integrated smart buildings This book is aimed at graduate students, researchers, and professionals in building systems engineering, architectural engineering, and electrical engineering.

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies Book PDF

Author : Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban
Publisher : Academic Press
Page : 418 pages
File Size : 41,5 Mb
Release : 2022-03-18
Category : Science
ISBN : 9780323914284

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban Pdf

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Smart Buildings Digitalization, Two Volume Set

O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Smart Buildings Digitalization Two Volume Set Book PDF

Author : O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 742 pages
File Size : 48,8 Mb
Release : 2022-05-28
Category : Computers
ISBN : 9781000537901

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Smart Buildings Digitalization, Two Volume Set by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

A smart building is the state-of-art in building with features that facilitates informed decision making based on the available data through smart metering and IoT sensors. This set provides useful information for developing smart buildings including significant improvement of energy efficiency, implementation of operational improvements and targeting sustainable environment to create an effective customer experience. It includes case studies from industrial results which provide cost effective solutions and integrates the digital SCADE solution. Describes complete implication of smart buildings via industrial, commercial and community platforms Systematically defines energy-efficient buildings, employing power consumption optimization techniques with inclusion of renewable energy sources Covers data centre and cyber security with excellent data storage features for smart buildings Includes systematic and detailed strategies for building air conditioning and lighting Details smart building security propulsion. This set is aimed at graduate students, researchers and professionals in building systems, architectural, and electrical engineering.

Evaluation of Energy Efficiency and Flexibility in Smart Buildings

Alessia Arteconi
Evaluation of Energy Efficiency and Flexibility in Smart Buildings Book PDF

Author : Alessia Arteconi
Publisher : MDPI
Page : 442 pages
File Size : 45,9 Mb
Release : 2021-01-21
Category : Technology & Engineering
ISBN : 9783039438495

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Evaluation of Energy Efficiency and Flexibility in Smart Buildings by Alessia Arteconi Pdf

This Special Issue “Evaluation of Energy Efficiency and Flexibility in Smart Buildings” addresses the relevant role of buildings as strategic instruments to improve the efficiency and flexibility of the overall energy system. This role of the built environment is not yet fully developed and exploited and the book content contributes to increasing the general awareness of achievable benefits. In particular, different topics are discussed, such as optimal control, innovative efficient technologies, methodological approaches, and country analysis about energy efficiency and energy flexibility potential of the built environment. The Special Issue offers valuable insights into the most recent research developments worldwide.

Handbook of Smart Energy Systems

Michel Fathi,Enrico Zio,Panos M. Pardalos
Handbook of Smart Energy Systems Book PDF

Author : Michel Fathi,Enrico Zio,Panos M. Pardalos
Publisher : Springer Nature
Page : 3382 pages
File Size : 44,7 Mb
Release : 2023-08-04
Category : Business & Economics
ISBN : 9783030979409

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Handbook of Smart Energy Systems by Michel Fathi,Enrico Zio,Panos M. Pardalos Pdf

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

Aboul Ella Hassanien,Rawya Y. Rizk,Václav Snášel,Rehab F. Abdel-Kader
The 8th International Conference on Advanced Machine Learning and Technologies and Applications AMLTA2022 Book PDF

Author : Aboul Ella Hassanien,Rawya Y. Rizk,Václav Snášel,Rehab F. Abdel-Kader
Publisher : Springer Nature
Page : 708 pages
File Size : 55,9 Mb
Release : 2022-04-16
Category : Technology & Engineering
ISBN : 9783031039188

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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) by Aboul Ella Hassanien,Rawya Y. Rizk,Václav Snášel,Rehab F. Abdel-Kader Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Building Energy Audits-Diagnosis and Retrofitting

Constantinos A. Balaras
Building Energy Audits Diagnosis and Retrofitting Book PDF

Author : Constantinos A. Balaras
Publisher : MDPI
Page : 298 pages
File Size : 44,7 Mb
Release : 2021-01-12
Category : Science
ISBN : 9783039438297

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Building Energy Audits-Diagnosis and Retrofitting by Constantinos A. Balaras Pdf

The book “Building Energy Audits-Diagnosis and Retrofitting” is a collection of twelve papers that focus on the built environment in order to systematically collect and analyze relevant data for the energy use profile of buildings and extended for the sustainability assessment of the built environment. The contributions address historic buildings, baselines for non-residential buildings from energy performance audits, and from in-situ measurements, monitoring, and analysis of data, and verification of energy saving and model calibration for various building types. The works report on how to diagnose existing problems and identify priorities, assess, and quantify the opportunities and measures that improve the overall building performance and the environmental quality and well-being of occupants in non-residential buildings and houses. Several case studies and lessons learned from the field are presented to help the readers identify, quantify, and prioritize effective energy conservation and efficiency measures. Finally, a new urban sustainability audit and rating method of the built environment addresses the complexities of the various issues involved, providing practical tools that can be adapted to match local priorities in order to diagnose and evaluate the current state and future scenarios towards meeting specific sustainable development goals and local priorities.

Proceedings of the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering

Stefanus Adi Kristiawan,Buntara S. Gan,Mohamed Shahin,Akanshu Sharma
Proceedings of the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering Book PDF

Author : Stefanus Adi Kristiawan,Buntara S. Gan,Mohamed Shahin,Akanshu Sharma
Publisher : Springer Nature
Page : 1142 pages
File Size : 50,5 Mb
Release : 2022-09-01
Category : Architecture
ISBN : 9789811693489

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Proceedings of the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering by Stefanus Adi Kristiawan,Buntara S. Gan,Mohamed Shahin,Akanshu Sharma Pdf

This book is a collection of papers presented at the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2021), held in Surakarta, Indonesia. The papers are grouped into sequential themes representing the structure of this book: o Part 1: Factors affecting building and infrastructure performance o Part 2: Testing and inspection of existing building and infrastructure o Part 3: Protection, maintenance, repair, and retrofitting of building and infrastructure o Part 4: Maintenance management of building and infrastructure o Part 5: Service life modelling of building and infrastructure o Part 6: Hazard mitigation o Part 7: Sustainability aspect in civil engineering design, process, modelling, maintenance, and rehabilitation Postgraduate students, researchers, and practitioners specializing and working in the area of protection, maintenance, repair, and retrofitting of civil engineering infrastructures will find this book very useful.

Construction 4.0

Marco Casini
Construction 4 0 Book PDF

Author : Marco Casini
Publisher : Woodhead Publishing
Page : 696 pages
File Size : 44,8 Mb
Release : 2021-11-24
Category : Technology & Engineering
ISBN : 9780128218037

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Construction 4.0 by Marco Casini Pdf

Developments in data acquisition technologies, digital information and analysis, automated construction processes, and advanced materials and products have finally started to move the construction industry - traditionally reluctant to innovation and slow in adopting new technologies - toward a new era. Massive changes are occurring because of the possibilities created by Building information modeling, Extended reality, Internet of Things, Artificial intelligence and Machine Learning, Big data, Nanotechnology, 3D printing, and other advanced technologies, which are strongly interconnected and are driving the capabilities for much more efficient construction at scale. Construction 4.0: Advanced Technology, Tools and Materials for the Digital Transformation of the Construction Industry provides readers with a state-of-the-art review of the ongoing digital transformation of the sector within the new 4.0 framework, presenting a thorough investigation of the emerging trends, technologies, and strategies in the fields of smart building design, construction, and operation and providing a comprehensive guideline on how to exploit the new possibilities offered by the digital revolution. It will be an essential reference resource for academic researchers, material scientists and civil engineers, undergraduate and graduate students, and other professionals working in the field of smart ecoefficient construction and cutting-edge technologies applied to construction. Provides an overview of the Construction 4.0 framework to address the global challenges of the buildingsector in the 21st century and an in-depth analysis of the most advanced digital technologies and systems forthe operation and maintenance of infrastructure, real estate, and other built assets Covers major innovations across the value chain, including building design, fabrication, construction, operationand maintenance, and end-of-life Illustrates the most advanced digital tools and methods to support the building design activity, includinggenerative design, virtual reality, and digital fabrication Presents a thorough review of the most advanced construction materials, building methods, and techniquesfor a new connected and automated construction model Explores the digital transformation for smart energy buildings and their integration with emerging smartgrids and smart cities Reflects upon major findings and identifies emerging market opportunities for the whole AECO sector

Data-driven Analytics for Sustainable Buildings and Cities

Xingxing Zhang
Data driven Analytics for Sustainable Buildings and Cities Book PDF

Author : Xingxing Zhang
Publisher : Springer Nature
Page : 450 pages
File Size : 52,9 Mb
Release : 2021-09-11
Category : Social Science
ISBN : 9789811627781

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Data-driven Analytics for Sustainable Buildings and Cities by Xingxing Zhang Pdf

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.

A D-Vine Copula-Based Quantile Regression Approach for the Prediction of Heating Energy Consumption. Using Historical Data for German Households

Rochus Niemierko
A D Vine Copula Based Quantile Regression Approach for the Prediction of Heating Energy Consumption Using Historical Data for German Households Book PDF

Author : Rochus Niemierko
Publisher : GRIN Verlag
Page : 74 pages
File Size : 43,8 Mb
Release : 2019-09-23
Category : Business & Economics
ISBN : 9783346020512

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A D-Vine Copula-Based Quantile Regression Approach for the Prediction of Heating Energy Consumption. Using Historical Data for German Households by Rochus Niemierko Pdf

Master's Thesis from the year 2018 in the subject Economics - Statistics and Methods, grade: 1,0, University of Augsburg, language: English, abstract: The aim of this thesis is to add to the as of yet mostly missing literature on how a D-vine copula based quantile regression model can be used to predicte the accurate level of energy consumption. Energetic retrofitting of residential buildings is poised to play an important role in the achievement of ambitious global climate targets. A prerequisite for purposeful policy-making and private investments is the accurate prediction of energy consumption. Building energy models are mostly based on engineering methods quantifying theoretical energy consumption. However, a performance gap between predicted and actual consumption has been identified in literature. Data- driven methods using historical data can potentially overcome this issue. The D-vine copula-based quantile regression model used in this study achieved very good fitting results based on a representative data set comprising 25,000 German households. The findings suggest that quantile regression increases transparency by analyzing the entire distribution of heating energy consumption for individual building characteristics. More specifically, the analyses reveal the following exemplary insights. First, for different levels of energy efficiency, the rebound effect exhibits cyclical behavior and significantly varies across quantiles. Second, very energy-conscious and energy-wasteful households are prone to more extreme rebound effects. Third, with regards to the performance gap, heating energy demand of inefficient buildings is systematically underestimated, while it is overestimated for efficient buildings. Therefore, The remainder of this thesis is organized as follows. Section 2 presents a concise categorization of building energy models. Section 3 presents existing data-driven methods used for the pre-diction of heating energy consumption in the residential sector. Next, Section 4 elaborates on vine copula-based quantile regression. This is followed by a description of the data employed in Section 5. Section 6 presents the empirical results and Section 7 provides the practical im-plications and contribution of the quantile regression approach introduced. Finally, the conclu-sions and limitations of this thesis are discussed in Section 8.

Data-driven BIM for Energy Efficient Building Design

Saeed Banihashemi,Hamed Golizadeh,Farzad Pour Rahimian
Data driven BIM for Energy Efficient Building Design Book PDF

Author : Saeed Banihashemi,Hamed Golizadeh,Farzad Pour Rahimian
Publisher : Taylor & Francis
Page : 187 pages
File Size : 52,7 Mb
Release : 2022-12-16
Category : Technology & Engineering
ISBN : 9781000801934

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Data-driven BIM for Energy Efficient Building Design by Saeed Banihashemi,Hamed Golizadeh,Farzad Pour Rahimian Pdf

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.