Zobrazeno 1 - 10
of 389
pro vyhledávání: '"Daniel Friedrich"'
Autor:
Andrew Lyden, Wei Sun, Iain Struthers, Lukas Franken, Seb Hudson, Yifan Wang, Daniel Friedrich
Publikováno v:
Energy Strategy Reviews, Vol 53, Iss , Pp 101375- (2024)
This paper presents PyPSA-GB, a dataset and model of Great Britain’s (GB) power system encompassing historical years and the future energy scenarios developed by National Grid. It is the first fully open-source model implementation of the future GB
Externí odkaz:
https://doaj.org/article/093231c6690e459193735778a23e33da
Autor:
Maximilian Parzen, Fabian Neumann, Adriaan H. Van Der Weijde, Daniel Friedrich, Aristides Kiprakis
Publikováno v:
Carbon Neutrality, Vol 1, Iss 1, Pp 1-21 (2022)
Highlights ∙ Review of evaluation methods for energy storage identifies need for new approaches. ∙ Formulation of new ‘market-potential method’ to identify value of storage. ∙ Pitfalls of cost approaches are identified in an European electr
Externí odkaz:
https://doaj.org/article/5a1d692fc167404cba07ec6be8b00e0a
Autor:
Dina H. El-Kashef, Deborah D. Obidake, Katja Schiedlauske, Alina Deipenbrock, Sebastian Scharf, Hao Wang, Daniela Naumann, Daniel Friedrich, Simone Miljanovic, Takin Haj Hassani Sohi, Christoph Janiak, Klaus Pfeffer, Nicole Teusch
Publikováno v:
Marine Drugs, Vol 22, Iss 1, p 5 (2023)
A new prenylated indole diketopiperazine alkaloid, rubrumline P (1), was isolated along with six more analogues and characterized from the fermentation culture of a marine sediment-derived fungus, Aspergillus chevalieri, collected at a depth of 15 m
Externí odkaz:
https://doaj.org/article/14a665b262b94714ad652f284048c845
Publikováno v:
Buildings, Vol 14, Iss 1, p 106 (2023)
Rising temperatures, increase in population, and dense urban morphology have resulted in increased cooling energy demands. The conventional degree-days method to calculate cooling energy demand considers only the sensible heat load of air and neglect
Externí odkaz:
https://doaj.org/article/78434f2e99d74a9ab9f4c5393ab5e7ca
Publikováno v:
iScience, Vol 26, Iss 1, Pp 105729- (2023)
Summary: Energy system models are used for policy decisions and technology designs. If not carefully used, models give implausible outputs and mislead decision-making. One implausible effect is “unintended storage cycling”, which is observable as
Externí odkaz:
https://doaj.org/article/540fcaf629f24f89bc4069ba965ac8b7
Autor:
Daniel Friedrich
Publikováno v:
Smart Learning Environments, Vol 6, Iss 1, Pp 1-22 (2019)
Abstract Education at universities requires a high proportion of self-study supported by instruments which motivate students to deepen their knowledge with case studies and training software. The gain in learning is higher when what is learned is ref
Externí odkaz:
https://doaj.org/article/49256f6d73814edea1c1c3a21a5691af
Publikováno v:
Energy and AI, Vol 5, Iss , Pp 100093- (2021)
Due to the impact of occupants’ activities in buildings, the relationship between electricity demand and ambient temperature will show different trends in the long-term and short-term, which show seasonal variation and hourly variation, respectivel
Externí odkaz:
https://doaj.org/article/18fdb5dc0afa40bbb29dacb6509ac492
Publikováno v:
Energy and AI, Vol 2, Iss , Pp 100028- (2020)
Artificial neural network (ANN) has become an important method to model the nonlinear relationships between weather conditions, building characteristics and its heat demand. Due to the large amount of training data required for ANN training, data red
Externí odkaz:
https://doaj.org/article/189881b5f92d45978ddb2789af9f80dc
Publikováno v:
Energies, Vol 15, Iss 6, p 2149 (2022)
In hot and dry regions such as the Gulf Cooperation Council (GCC) countries, the cooling demand is often responsible for more than 70% of electricity consumption, which places a massive strain on the electricity grid and leads to significant emission
Externí odkaz:
https://doaj.org/article/be72f58e70064879b44b27040795042a
Autor:
Yerasyl Amanbek, Aidana Kalakova, Svetlana Zhakiyeva, Korhan Kayisli, Nurkhat Zhakiyev, Daniel Friedrich
Publikováno v:
Energies, Vol 15, Iss 7, p 2404 (2022)
This work proposes a distribution locational marginal price (DLMP)-based transactive energy (TE) framework for distribution systems with enthusiastic or smart prosumers. The framework uses a multi-agent system (MAS) as the basis on which the proposed
Externí odkaz:
https://doaj.org/article/8e7706c00cac40659d8a4223e75a6dbf