Mining Hidden Knowledge From Measured Data For Improving Building Energy Performance
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Mining Hidden Knowledge From Measured Data For Improving Building Energy Performance
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Author : Zhun Yu
language : en
Publisher:
Release Date : 2012
Mining Hidden Knowledge From Measured Data For Improving Building Energy Performance written by Zhun Yu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Comparing Measured And Simulated Building Energy Performance Data
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Author : Tobias Maile
language : en
Publisher:
Release Date : 2010
Comparing Measured And Simulated Building Energy Performance Data written by Tobias Maile and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Finding building energy performance problems is a critical step in improving energy efficiency in buildings and in reaching a building's performance goals established during design. The prevalent method of improving building energy performance is to look for relative improvements on the basis of measured performance data, sometimes with a "calibrated" energy simulation model that is made to mimic the actual consumption as closely as possible. This approach is problematic because compensation errors often mask the performance problems one wants to find, a true baseline model is not established, and there is little certainty that the identified improvements capture all major performance problems. Typically, these assessment methods focus on either the building/system level or the component level, but do not consider all levels of detail. Furthermore, existing methods do not combine spatial and thermal perspectives and do not consider the relationships between components of a building's energy system, the HVAC (heating, ventilation, and air conditioning) systems, HVAC components, zones, spaces, and the building. However, improving this interaction, i.e., using the energy system for maximum effect in a building's spaces, is precisely what building operators and users are after. The effect of these shortcomings is that identification of energy performance problems tends to be haphazard and requires great effort. To address these gaps in knowledge and corresponding shortcomings, I formalized the Energy Performance Comparison Methodology (ECPM) to identify performance problems from a comparison of measured and simulated energy performance data. It extends prior hierarchies to describe a building and its energy system more fully so that the comparison and analysis includes the spatial and thermal perspectives and all levels of detail in a building, including the relevant relationships. It formalizes measurement assumptions and simulations assumptions, approximations, and simplifications (AAS) so that measured and simulated data can be assessed while considering all known limitations. This thesis describes this EPCM and its related contributions to knowledge. It also shows that a professional, called performance assessor, can identify more problems with less effort per problem than with existing methods. The assessor uses whole building energy performance simulation (BEPS) tools, such as EnergyPlus, to generate simulated data sets for the EPCM. Measured data come from physical measurements by sensors strategically placed in buildings and control data points such as set points. By enabling a meaningful comparison of measured and simulated data, this thesis enables future research to establish expert systems that can automatically detect performance problems and correct them, allow the virtual testing of energy efficiency improvements and innovations, and provide feedback to building designers and operators for ongoing improvement of the design and building operations methods.
Advances In Informatics And Computing In Civil And Construction Engineering
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Author : Ivan Mutis
language : en
Publisher: Springer
Release Date : 2018-10-08
Advances In Informatics And Computing In Civil And Construction Engineering written by Ivan Mutis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.
This proceedings volume chronicles the papers presented at the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management, held in Chicago, IL, USA, in October 2018. The theme of the conference focused on fostering, encouraging, and promoting research and development in the application of integrated information technology (IT) throughout the life-cycle of the design, construction, and occupancy of buildings and related facilities. The CIB – International Council for Research and Innovation in Building Construction – was established in 1953 as an association whose objectives were to stimulate and facilitate international cooperation and information exchange between governmental research institutes in the building and construction sector, with an emphasis on those institutes engaged in technical fields of research. The conference brought together more than 200 scholars from 40 countries, who presented the innovative concepts and methods featured in this collection of papers.
Data Mining Frameworks For Energy Consumption Reduction Of Existing Buildings
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Author : Milad Ashouri Sanjani
language : en
Publisher:
Release Date : 2021
Data Mining Frameworks For Energy Consumption Reduction Of Existing Buildings written by Milad Ashouri Sanjani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Many technical solutions have been developed to reduce buildings' energy consumption, but limited efforts have been made to adequately address the role or action of building occupants in this process. On the other side, Building Management System (BMS) monitors the performance of buildings by recording the data to improve the building operation, control systems and maintenance. Usually, BMS produces a large volume of data throughout the year including information with regard to patterns of energy use, occupant behavior, etc. The availability of this huge data has created an opportunity to extract information to improve the building energy performance through leveraging powerful data analytic tools. The objectives defined in this thesis lie in developing methodologies to find energy saving opportunities by analyzing data coming from occupants' energy consumption. Three tasks are defined in this thesis. The first task is to provide a recommender system to alert the occupants to take certain measures in order to reduce their energy consumption through end-use loads. Therefore, the quantification of potential savings is provided upon following recommendations. The proposed methodology is also capable to detect the energy saving measures performed by occupants. The second task focuses on a systematic comparison procedure between the buildings to make the occupants aware of their rank among other buildings and hence give them clues on how to improve their performance. The third task focuses on developing a framework to create a reference building acting as a reference for a given building. Therefore, the given building can be compared against its reference building. Potential savings are given to the given building along with directions how to achieve them. The results show successfulness of developed methodologies in finding energy saving opportunities through modifying occupant behavior.
Development Of Data Mining Based Big Data Analysis Methodologies For Building Energy Management
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Author : Cheng Fan
language : en
Publisher:
Release Date : 2016
Development Of Data Mining Based Big Data Analysis Methodologies For Building Energy Management written by Cheng Fan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Buildings categories.
BAS data are usually stored in a single two-dimensional data table, where each column represents a variable and each row is an observation consisting of the values of different variables. Cross-sectional knowledge refers to the relationships and associations between variables (i.e., different columns) without taking into account the temporal dependency. A number of DM techniques, including clustering analysis, association rule mining and decision trees, are adopted to discover cross-sectional knowledge and to improve the reliability of the knowledge discovered. Post-mining methods, which bridge the knowledge discovered by DM techniques and domain expertise, are developed to enhance the efficiency and effectiveness in knowledge selection and application. Valuable knowledge has been discovered to understand building operation behaviors and spot energy conservation opportunities. Different from cross-sectional knowledge, temporal knowledge discovery focuses on discovering the temporal relationships between observations (i.e., different rows). In this case, the observations are considered as multivariate time series. The symbolic aggregation approximation (SAX), motif discovery and temporal association rule mining are applied as the main DM techniques. Two post-mining methods are developed to effectively utilize the knowledge discovered. The knowledge discovered can be used to characterize the dynamics in building operations and facilitate fault diagnosis and control optimization. A graph-based DM technique is developed for mining BAS data with potentially complex structures, rather than just a single two-dimensional data table. It ensures the knowledge discovery efficiency when the BAS data structure is complex, e.g., data are stored in multi-relational databases and cannot be easily merged into a single data table. With the population of building information modelling, a huge amount of valuable information related to building design and operations is becoming available for analysis, such as the text data for building construction and maintenance, and the spatial information of system components. Graphs provide great flexibility in integrating and representing various types of information; and the knowledge discovered using graph-based DM is highly interpretable. The frequent subgraph mining (FSM) and graph-based anomaly detection (GBAD) are selected as the primary mining techniques. Two problems are specifically addressed, i.e., graph generation based on BAS data and efficiency enhancement in knowledge selection and application. The graph-based mining methodology has been applied to represent different types of information, based on which frequent and atypical building operation patterns are detected. BAS data retrieved from the tallest building in Hong Kong and the Zero-Carbon Building are used to test and evaluate the methodologies. The results show that the knowledge discovered is valuable to identify dynamics, patterns and anomalies in building operations, assess building system performance and spot opportunities in energy conservation. The framework and the methodologies can contribute to develop more powerful and sophisticated BAS tools for effective utilizing the big BAS data for building energy management.
Pervasive Computing
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Author : Ciprian Dobre
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-05-06
Pervasive Computing written by Ciprian Dobre and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-06 with Computers categories.
Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals. Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field. Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of pervasive computing systems. Future systems will be data oriented and need to support quality data, in terms of accuracy, latency and availability. Pervasive Computing is intended as a platform for the dissemination of research efforts and presentation of advances in the pervasive computing area, and constitutes a flagship driver towards presenting and supporting advanced research in this area. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Offers a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and development related to pervasive computing Explains the state-of-the-art technological solutions necessary for the development of next-generation pervasive data systems, including: components for intelligently collecting data, resource and data management issues, fault tolerance, data security, monitoring and controlling big data, and applications for pervasive context-aware processing Presents the benefits of pervasive computing, and the development process of scientific and commercial applications and platforms to support them in this field Provides numerous illustrative examples and follows both theoretical and practical results to serve as a platform for the dissemination of research advances in the pervasive computing area
Artificial Intelligence Research And Development
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Author : D. Riaño
language : en
Publisher: IOS Press
Release Date : 2012-10-12
Artificial Intelligence Research And Development written by D. Riaño and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-12 with Computers categories.
One hundred years after the birth of Alan Turing, the great pioneer of computer science, artificial intelligence has become so much a part of everyday life that it is hard to imagine the world without it. This book contains papers from the 15th International Conference of the Catalan Association of Artificial Intelligence (CCIA 2012), held at the Universitat d’Alicant, Spain, in October 2012. Since 1994 the Catalan Association of Artificial Intelligence (ACIA) has fostered cooperation between researchers in artificial intelligence within the Catalan speaking community. The annual CCIA is its international conference, a platform where not only researchers from Catalan speaking countries, but also those working in artificial intelligence worldwide, have found a place to show, discuss and publish the results of their researches and developments. The 23 papers presented here, which include contributions from the AI community all over the world, cover topics such as KDD, DM and machine learning; natural language processing and recommenders; computer vision; robotics; AI for optimization problems and AI applications in the real world. The book also includes the contributions of the two invited keynote speakers at the conference - Oscar Cordón and Eduardo Nebot - which respectively address the subjects of real-world applications of soft artificial intelligence, and challenges of automation and safety in field robotics.
Ework And Ebusiness In Architecture Engineering And Construction
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Author : Karsten Menzel
language : en
Publisher: CRC Press
Release Date : 2010-09-01
Ework And Ebusiness In Architecture Engineering And Construction written by Karsten Menzel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-01 with Technology & Engineering categories.
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
Eco Design Of Buildings And Infrastructure
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Author : Bruno Peuportier
language : en
Publisher: CRC Press
Release Date : 2020-12-22
Eco Design Of Buildings And Infrastructure written by Bruno Peuportier and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Technology & Engineering categories.
The Chair Eco-design of buildings and infrastructure, a partnership between three engineering colleges (MINES ParisTech, Ecole des Ponts ParisTech and AgroParisTech) and the VINCI group, aims to create measurement and simulation tools which integrate all the dimensions of eco-design (greenhouse gas emissions, impact on biodiversity and resource levies, etc.) to become real decision-making tools, based on a scientific approach, for all actors in the city (designers, builders and users). This book reviews the second five-year sequence of the Chair, first presenting methodological advances in eco-design: life cycle assessment and quantification of uncertainties; local environmental impacts of transport and biodiversity. The interdisciplinary partnership, also associating the human sciences, shows its interest in taking into account the human factor in the modelling of urban systems. This modelling is based on several numerical simulation tools, presented in the third part. This theoretical set results in more substantial proposals for the renewal of techniques and systems, in terms of energy management strategies in buildings, urban agriculture, participatory data collection and digital transformation in transport. This book is intended for urban planners, local authorities, building owners, architects, design offices, companies, building managers, teacher-researchers and anyone interested in the environmental quality of our living spaces.
International Technology Robotics Applications
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Author : Ignacio González Alonso
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-17
International Technology Robotics Applications written by Ignacio González Alonso and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-17 with Technology & Engineering categories.
This book presents the latest scientific research related to the field of Robotics. It involves different topics such as biomedicine, energy efficiency and home automation and robotics. The book is written by technical experts and researchers from academia and industry working on robotics applications. The book could be used as supplementary material for courses related to Robotics and Domotics.