Ana Constantin

Ana Constantin
RWTH Aachen University · Institute for Energy Efficient Buildings and Indoor Climate

Dipl.-Wirt.-Ing

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22
Publications
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339
Citations
Citations since 2016
5 Research Items
288 Citations
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20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060

Publications

Publications (22)
Article
Full-text available
With the building sector being responsible for 30% of the total final energy consumption, great interest lies in implementing adequate policies and deploying efficient technologies that would decrease this number. However, building comfort and energy management systems (BCEM) are challenging to manage on account of their increasing complexity with...
Conference Paper
Full-text available
AixLib is a Modelica model library with focus on modeling the dynamic behavior of buildings, HVAC equipment and distribution networks to enable integrated analyses of energy systems on the scales from single building to city district. The library is available at www.github.com/RWTH-EBC/AixLib. In this paper, we present the library and its integrati...
Conference Paper
Full-text available
This paper presents an application of the hardware-in-the-loop-method to a building energy and control system. We focus on investigating the interaction of a real circulating pump with the hydronic network of a virtual building energy and control system. For real-time simulation the building envelope is modelled using the Modelica-based library Aix...
Conference Paper
Full-text available
Poorly designed and badly working control systems in buildings are leading to a high waste of primary energy in the building sector. In literature many approaches use agent based control (ABC) in order to facilitate the configuration of these systems and thus reduce the error rate at commissioning processes. These approaches increase the energy eff...
Conference Paper
Full-text available
Complex modern building supply systems often lack well functioning control systems. Usually, this leads to inefficient operation modes and poor user comfort. The use of Multi-Agent-Systems (MAS) can help to create self-organizing structures, which are able to find suitable operating conditions in an automated way. In order to use MAS for building s...
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
As part of its contribution to IEA Annex 60, the Institute for Energy Efficient Buildings and Indoor Climate of RWTH Aachen University will make its Modelica HouseModels library available. The scope of this paper is to provide information about the library. The first part presents the library and its functionality. In the second part a room model i...
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...
Conference Paper
Full-text available
With the growing share of renewable non-dispatchable energy generation the challenge of matching electricity production and consumption arises. To facilitate balancing excess renewable electricity generation (i.e. at times of strong wind) the potential for thermal energy storage in buildings is analyzed within our project. As of today pricing schem...
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

Projects (2)
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