témavezető: Groniewsky Axel
helyszín (magyar oldal): Energetikai Gépek és Rendszerek Tanszék, D épület 225B helyszín rövidítés: EGR
A kutatási téma leírása:
a.) Preliminaries:
Residential buildings play an important role in energy consumption in the world. Around 40% of the world’s end energy is being used in residential buildings. With its long life span and many building standards, integrating electrical and thermal decentralized renewable energy systems into the buildings is of high preference. With this, the need for decentralized sector coupling, integrated management, and intelligent control is increasing. Model predictive control (MPC) is one of the intelligent control techniques that uses a simulation model of the plant to predict and optimize the future control sequence.
b.) Aim of research:
The aim of the study is to increase renewable energy factors in residential buildings. The focus is on single-family houses. Different single-family house building standards are to be investigated for high renewable energy (self-production) houses, low energy demand houses, low net energy houses, and old (high energy demand) houses. These buildings are to be simulated along with their electrical and thermal energy systems. Also, Model Predictive Control (MPC) is to be adapted for these different building standards and sensitivity of the optimization algorithms to the changes of the buildings characteristics are to be investigated.
c.) Tasks, main items, necessary time:
Literature based critical analysis of available control approaches for the combined thermal-electric home energy systems and simulations of the status quo energy systems with different building standards, ½-1 year. Development of simulation framework for MPC modelling and selection and implementation of different optimization algorithms, ½ - 1 year. Establishing a new selection and evaluation procedures for a dynamic system testing of the MPCs in Energy Systems, ½ year. Investigation and sensitivity analysis of the MPC in the system with different algorithms and building standards concerning universalization, ½-1 year. Preparation of the dissertation, writing publications, 1 year. (Certain tasks can be combined or done simultaneously.)
d.) Required equipment:
Computer, access to literature, different software for simulation and programing (e.g. Matlab, TRNSYS)
e.) Expected scientific results:
The above-mentioned simulations are subjects of publication since very few data are available in this research topic. The study will reveal which optimization algorithms perform better in such a hybrid residential energy system and how sensitive the MPC to the boundary conditions are. Also, the research will show the limitations and requirements for universalization of MPC in the energy systems of residential buildings.
f.) References:
[1.] Axel Groniewsky: Exergoeconomic Optimization of a Thermal Power Plant Using Particle Swarm Optimization, Thermal Science, Vol. 17, No. 2, pp. 509-524, 2013.
[2.] Axel Groniewsky: Analysis of Particle Swarm-Aided Power Plant Optimization, Periodica Polytechnica - Mechanical Engineering 59 : 3 pp. 102-108. , 7 p. (2015)
[3.] Axel Groniewsky, Csaba Wágner: Investigation of the effect of the regenerative heat exchanger on the performance of Organic Rankine Cycles using PC-SAFT equation of state, Industrial & Engineering Chemistry Research (accepted)
előírt nyelvtudás: english felvehető hallgatók száma: 1
Jelentkezési határidő: 2021-03-23
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Bejelentkezés
