Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Brains for Buildings to Achieve Net Zero
Sustainable use of energy sources is one of the most important issues in modern society and therefore of great importance in the built environment. Construction installations account for approximately 36% of total energy consumption and consume on average 25% more energy due to inefficiency. There is a large unused potential of energy management systems, which can potentially achieve 20–30 PJ final savings through application in non-residential construction already in a small country like the Netherlands.
A good design is important but also maintaining performance and condition in operation over the years. Most buildings have many problems with comfort and indoor air quality. The maintenance of the installations is more action oriented than performance oriented, which means that the costs are higher and the number of malfunctions and nuisances for the user higher. Therefore, it is important to detect deviations as soon as possible with continuous commissioning, so that there is constant monitoring of all circumstances and error detection in combination with a diagnosis.
The European Commission has adopted the revised European Energy Performance of Buildings Directive (EPBD III) with the aim of improving the energy efficiency of buildings, thereby reducing energy consumption. The directive was implemented in Dutch laws and regulations on March 10, 2020. The EPBD III prescribes system requirements for improving the energy performance of technical building systems. The current building management systems cannot comply with this. Data is produced and (sometimes) shown in graphs, but analysis thereof is missing and is not automated; interfaces to inform and support the administrator in his decisions are very limited.
The energy transition requires more optimally functioning installations that use less energy. Users want healthier and more productive climate conditions. The complexity of the installations increases sharply and therefore the necessary experience and knowledge to solve problems. There is a growing shortage of experienced people who are able to analyse this data. Therefore, it is becoming increasingly important to develop systems to automate these continuous monitoring, error detection and diagnostic functions.
It is important to improve and safeguard the methods for data analysis and control related to GBS and measurement and control systems of installations and to develop suitable algorithms based on big data analytics and machine learning.
Brains for Buildings to Achieve Net Zero
Sustainable use of energy sources is one of the most important issues in modern society and therefore of great importance in the built environment. Construction installations account for approximately 36% of total energy consumption and consume on average 25% more energy due to inefficiency. There is a large unused potential of energy management systems, which can potentially achieve 20–30 PJ final savings through application in non-residential construction already in a small country like the Netherlands.
A good design is important but also maintaining performance and condition in operation over the years. Most buildings have many problems with comfort and indoor air quality. The maintenance of the installations is more action oriented than performance oriented, which means that the costs are higher and the number of malfunctions and nuisances for the user higher. Therefore, it is important to detect deviations as soon as possible with continuous commissioning, so that there is constant monitoring of all circumstances and error detection in combination with a diagnosis.
The European Commission has adopted the revised European Energy Performance of Buildings Directive (EPBD III) with the aim of improving the energy efficiency of buildings, thereby reducing energy consumption. The directive was implemented in Dutch laws and regulations on March 10, 2020. The EPBD III prescribes system requirements for improving the energy performance of technical building systems. The current building management systems cannot comply with this. Data is produced and (sometimes) shown in graphs, but analysis thereof is missing and is not automated; interfaces to inform and support the administrator in his decisions are very limited.
The energy transition requires more optimally functioning installations that use less energy. Users want healthier and more productive climate conditions. The complexity of the installations increases sharply and therefore the necessary experience and knowledge to solve problems. There is a growing shortage of experienced people who are able to analyse this data. Therefore, it is becoming increasingly important to develop systems to automate these continuous monitoring, error detection and diagnostic functions.
It is important to improve and safeguard the methods for data analysis and control related to GBS and measurement and control systems of installations and to develop suitable algorithms based on big data analytics and machine learning.
Brains for Buildings to Achieve Net Zero
Innovative Renewable Energy
Sayigh, Ali (Herausgeber:in) / Zeiler, Wim (Autor:in)
09.11.2022
27 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Net zero , Energy consumption , Climate goals , CO<sub>2</sub> emission , HVAC , RIBA , Integral design , Morphological chart , Orientation , IEA , Stakeholders , Built environment Energy , Sustainable Architecture/Green Buildings , Renewable and Green Energy , Building Construction and Design , Energy Policy, Economics and Management
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