Johannes Fütterer

Johannes Fütterer
RWTH Aachen University · Institute for Energy Efficient Buildings and Indoor Climate

Dr.-Ing. Dipl.-Wirt.-Ing.

About

41
Publications
12,661
Reads
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282
Citations
Citations since 2016
24 Research Items
248 Citations
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
2016201720182019202020212022010203040
Additional affiliations
October 2015 - present
RWTH Aachen University
Position
  • Group Leader
August 2010 - September 2015
RWTH Aachen University
Position
  • Research Associate

Publications

Publications (41)
Conference Paper
Full-text available
The authors introduce a multifunctional control research test bench and its data management and interface system. They implemented a building monitoring, control, and interface system (MCIS) used for evaluation of complex building energy systems, for optimization of such energy systems and for carrying out control research experiments. In this pape...
Article
Full-text available
Modern literature exhibits numerous centralized control approaches—event-based or model assisted—for tackling poor energy performance in buildings. Unfortunately, even novel building optimization and control (BOC) strategies commonly suffer from complexity and scalability issues as well as uncertain behavior as concerns large-scale building ecosyst...
Article
Full-text available
In diesem Whitepaper wird ein Sicherheitskonzept für zukünftige, auf dem Internet der Dinge (IoT) basierende Gebäudeautomationssysteme vorgestellt. Die Risikoeinstufung und Risikobehandlung orientieren sich am BSI-Standard 200-3 für die Risikoanalyse auf der Basis des IT-Grundschutzes.Es werden zwei Architekturen vor-gestellt, die sich nach Meinung...
Article
Full-text available
Building automation and control systems (BAS) have become a common part of non-residential buildings in the past decades. However, many automation systems rely on severely outdated technology that render it challenging, if not impossible, to implement recently developed, advanced building control approaches. By contrast, recent developments in clou...
Article
Full-text available
Optimizing the operation of energy systems as typically found in buildings, plants, and districts has the potential to greatly reduce primary energy consumption and maintenance expenses. Due to the complexity and nontransparency of these systems, costs of implementing optimizations may well consume or exceed potential savings. Data-driven methods f...
Conference Paper
Building automation and control systems (BAS) have become a common part of non-residential buildings in the past decades. However, many automation systems rely on severely outdated technology that render it challenging, if not impossible, to implement recently developed, advanced building control approaches. By contrast, recent developments in clo...
Article
Model predictive control (MPC), although considered a high-potential control approach, usually requires considerable effort for model-creation and parametrization. Moreover, many models can be too computationally intensive for control applications. Distributed model predictive control (DMPC) is a promising approach that avoids the construction of a...
Conference Paper
Gebäudeenergiesysteme werden in der heutigen Zeit aus zumeist sehr effizienten Komponenten aufgebaut, mit einem hohen Anteil erneuerbarer Energieträger ausgestattet und aufgrund der Interaktion vieler unterschiedlicher Erzeuger und Verbraucher immer komplexer. Durch die Verfügbarkeit von Cloud-Services ergeben sich Möglichkeiten, rechen-und speiche...
Conference Paper
Model predictive control (MPC), although considered a high-potential control approach, usually requires considerable effort for model-creation and parametrization. Moreover, many previous studies use linear models that over-simplify the complex phenomena in building energy systems (BES). By contrast, simulation models can be too computationally int...
Article
Generic model-assisted control algorithms for building energy systems achieve an energy-efficient building operation while the implementation effort is lower than in the case of a taylor-made automation system. In this paper, a generic distributed simulation-model-assisted and exergy-based control algorithm is presented, which is applicable to typi...
Article
A variety of novel, recyclable and reusable, construction materials has already been studied within literature during the past years, aiming at improving the overall energy efficiency ranking of the building envelope. However, several studies show that a delicate control of indoor climating elements can lead to a significant performance improvement...
Article
The development of control strategies is a challenge for optimal use of low-temperature heat in complex energy systems. In the energy system of the considered building, several different combinations of active system components lend themselves to supply a given energy demand. Within preceding research, we transformed the considered building into a...
Thesis
Full-text available
Within this thesis, an extended PID auto-tuning algorithm for HVAC systems and building energy systems using the advances in computational power in recent years that is easily applicable to all state-of-the-art building energy management systems and building automation and control systems through the use of cloud-based services and standardized com...
Article
Full-text available
Universally applicable building automation and control systems could contribute largely to reducing both the environmental impact and the operation costs of buildings. We present a building HVAC control algorithm that excites small subsystems and uses the system responses to calibrate prefabricated Modelica models. It uses these models for distribu...
Article
Full-text available
The expanding contribution of volatile energy sources is a challenge for the balanced and stable operation of the electrical grid. Demand side management, i.e. meaning increasing or lowering the consumption according to the supply available from renewable sources, is a viable option to stabilize grid operation. In this paper, we discuss the proposa...
Article
Full-text available
Acquiring knowledge from the growing amount of Building Automation and Control Systems (BACS) data is becoming a more and more challenging and complex engineering task. However, it is also a prerequisite for smart and sustainable energy management as well as improving energy efficiency and comfort of building users. This report analyses the prospec...
Research
Full-text available
This document is a whitepaper containing the author‘s findings made by an online questionnaire about "Building Automation Systems in Practice"
Conference Paper
The objective of this research is to evaluate the performance of a system of systems optimization algorithm, namely, L4G-PCAO, in building energy systems. Since the test bed of this research is an office building with more than two hundred occupiers, the heating and cooling demands of the building must always be fully satisfied. Consequently, chang...
Conference Paper
Full-text available
Die Verbesserung von Gebäudeautomationssystemen eröffnet weitereichende Möglichkeiten für eine Verringerung des Endenergiebedarfs von Gebäuden. In diesem Forschungsprojekt wird daher untersucht, wie die thermodynamischen Methoden der Exergieanalyse auf die Regelung komplexer Gebäudeenergiesysteme angewendet werden können. Dabei steht die Steigerung...
Conference Paper
Within custom-made energy or HVAC systems, control quality of the widespread PI and PID controllers is in general poor due to high tuning costs for each controller and almost unique specifications of each controlled system. We propose a control tuning method, which needs as little as possible a priori knowledge, which runs as far as possible automa...
Conference Paper
Energy efficiency of buildings has been identified as a core element in facing the climate change and the scarcity of energy resources. The energy supply system for a building is, especially with view on thermal interrelations, a highly complex and heterogeneous system that emerges jointly with the building construction, the user's behavior, the we...
Conference Paper
Full-text available
Within custom-made energy or HVAC systems, control quality of the widespread PI and PID controllers is in general poor due to high tuning costs for each controller and almost unique specifications of each controlled system. We propose a control tuning method, which needs as little as possible a priori knowledge, which runs as far as possible automa...
Conference Paper
Full-text available
Ein Lösungsansatz zur Steigerung der Energieeffizienz von gebäudetechnischen Systemen ist die exegetisch optimale Nutzung von Energie auf niedrigem Temperaturniveau. Die Entwicklung von Re-gelstrategien für komplexe Energiesysteme ist dabei eine Herausforderung. Das E.ON Energieforschungszentrum verfügt über ein wegweisendes Energiekonzept unter Nu...
Article
Full-text available
Das Erdsondenfeld des E.ON Energieforschungszentrums der RWTH Aachen wurde umfangreich mit Sensorik, Aktorik und Regelungstechnik ausgestattet. Betriebsdaten des Feldes werden automatisch gemessen und in einer Datenbank gespeichert. Die hydraulischen Eigenschaften des Sondenfeldes können flexibel und automatisiert verändert werden. Ziel des Umbaus...
Conference Paper
Full-text available
We assess different control loop tuning methods to tackle suboptimal building performance due to suboptimal PID control within building automation systems. Advanced control research for building energy systems is usually conducted either simulation-based or with the help of experiments via test benches. Therefore, it is limited in terms of applicab...
Article
Full-text available
Within this project, we developed an energy concept for the new E.ON ERC main building. During the building’s construction phase, we assisted the implementation of the energy concept and implemented an user-added monitoring system. Together with a virtual server infrastructure, different data bases, data processing algorithms, and interfaces, this...
Conference Paper
Full-text available
In Zusammenarbeit zweier Institute des E.ON Energy Research Centers (ERC) an der RWTH Aachen, des Instituts für Applied Geophysics and Geothermal Energy (GGE) und des Instituts für Energy Efficient Buildings and Indoor Climate (EBC), wurde das Erdsondenfeld des ERC-Hauptgebäudes umfangreich mit Aktorik und Sensorik ausgestattet, sodass es durch sim...
Conference Paper
Full-text available
ill order to improve the energy efficiency, while still insuring indoor comfort for a new non-residential building, a model-assisted fine-tuning methodology for control parameters was implemented. During offline experiments, where no control parameters are sent] to the building, the method was configured according to the particularities of the buil...

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Projects

Project (1)
Archived project
In the design and operation of positive-energy buildings a pragmatic target is maximization of the actual net energy produced (NEP) by intelligently shaping demand to perform generation-consumption matching. To achieve this, informed decisions in (almost) real-time are required to operate building subsystems and to account for unpredictable user-behavior and changing weather conditions. These decisions have direct consequences to occupant thermal comfort, energy efficiency and, ultimately, to the NEP. The complex interplay between the many parameters precludes empiricism or rule-based decisions and necessitates the development of generic decision tools. With the belief that maximization of the NEP for Positive-Energy Buildings is attained thru Better ControL dEcisions (PEBBLE), a control and optimization ICT methodology that combines model-based predictive control and cognitive-based adaptive optimization is proposed. There are three essential ingredients to the PEBBLE system: first, thermal simulation models, that are accurate representations of the building and its subsystems; second, sensors, actuators, and user interfaces to facilitate communication between the physical and simulation layers; and third, generic control and optimization tools that use the sensor inputs and the thermal models to take intelligent decisions. Building occupants have a dual sensor-actuator role in the PEBBLE framework: through user-interfaces humans act as sensors communicating their thermal comfort preferences to the PEBBLE system, and in return the PEBBLE system returns information with the goal of enhancing energy-awareness of the users. The generality of the proposed methodology affords a universality that transcends regional, behavioral, environmental or other variations. For this reason, the PEBBLE system will be demonstrated and evaluated in three buildings possessing a variety of design and performance characteristics, located at different places across Europe. Project PEBBLE is not just about improved energy-efficiency or generation-consumption matching, it is about utilizing harmoniously, and most effectively all installed systems in a building, taking into account human factors, and adapting the decisions in (almost) real-time as and when uncertainties occur. Duration: 01 January 2010 - 31 December 2012 Website: http://www.pebble-fp7.eu