TY  - JOUR
A1  - Hagenkamp, Markus
A1  - Blanke, Tobias
A1  - Döring, Bernd
T1  - Thermoelectric building temperature control: a potential assessment
JF  - International Journal of Energy and Environmental Engineering
N2  - This study focuses on thermoelectric elements (TEE) as an alternative for room temperature control. TEE are semi-conductor devices that can provide heating and cooling via a heat pump effect without direct noise emissions and no refrigerant use. An efficiency evaluation of the optimal operating mode is carried out for different numbers of TEE, ambient temperatures, and heating loads. The influence of an additional heat recovery unit on system efficiency and an unevenly distributed heating demand are examined. The results show that TEE can provide heat at a coefficient of performance (COP) greater than one especially for small heating demands and high ambient temperatures. The efficiency increases with the number of elements in the system and is subject to economies of scale. The best COP exceeds six at optimal operating conditions. An additional heat recovery unit proves beneficial for low ambient temperatures and systems with few TEE. It makes COPs above one possible at ambient temperatures below 0 ∘C. The effect increases efficiency by maximal 0.81 (from 1.90 to 2.71) at ambient temperature 5 K below room temperature and heating demand Q˙h=100W but is subject to diseconomies of scale. Thermoelectric technology is a valuable option for electricity-based heat supply and can provide cooling and ventilation functions. A careful system design as well as an additional heat recovery unit significantly benefits the performance. This makes TEE superior to direct current heating systems and competitive to heat pumps for small scale applications with focus on avoiding noise and harmful refrigerants.
Y1  - 2021
U6  - http://dx.doi.org/10.1007/s40095-021-00424-x
N1  - Corresponding author: Markus Hagenkamp
VL  - 13
SP  - 241
EP  - 254
PB  - Springer
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Blanke, Tobias
A1  - Schmidt, Katharina S.
A1  - Göttsche, Joachim
A1  - Döring, Bernd
A1  - Frisch, Jérôme
A1  - van Treeck, Christoph
ED  - Weidlich, Anke
ED  - Neumann, Dirk
ED  - Gust, Gunther
ED  - Staudt, Philipp
ED  - Schäfer, Mirko
T1  - Time series aggregation for energy system design: review and extension of modelling seasonal storages
T2  - Energy Informatics
N2  - Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.
KW  - Energy system
KW  - Renewable energy
KW  - Mixed integer linear programming (MILP)
KW  - Typical periods
KW  - Time-series aggregation
Y1  - 2022
U6  - http://dx.doi.org/10.1186/s42162-022-00208-5
SN  - 2520-8942
N1  - Proceedings of the 11th DACH+ Conference on Energy Informatics, 15-16 September 2022, Freiburg, Germany.
VL  - 5
IS  - 1, Article number: 17
SP  - 1
EP  - 14
PB  - Springer Nature
ER  -