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Cogeneration: Another way to increase energy efficiency of hybrid renewable energy hydrogen chain–A review of systems operating in cogeneration and of the …
L Luo, C Cristofari, S Levrey - Journal of Energy Storage, 2023 - Elsevier
The intermittence of renewable sources requires an efficient and sustainable technology for
storing energy. Hydrogen storage system (HSS), consist of electrolyzer, storage system and …
storing energy. Hydrogen storage system (HSS), consist of electrolyzer, storage system and …
Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an …
M Liu, G Ma, S Wang, Y Wang, J Yan - Renewable and Sustainable Energy …, 2021 - Elsevier
Heat–power decoupling (HPD) technologies, which are integrated within combined heat
and power (CHP) plants and can enhance the supply-side flexibility of CHP plants, have …
and power (CHP) plants and can enhance the supply-side flexibility of CHP plants, have …
A hybrid grasshopper optimization algorithm and harris hawks optimizer for combined heat and power economic dispatch problem
M Ramachandran, S Mirjalili, M Nazari-Heris… - … Applications of Artificial …, 2022 - Elsevier
Abstract The Combined Heat and Power Economic Dispatch (CHPED) is a real-world
optimization problem with several complex constraints that has been a topic of studies …
optimization problem with several complex constraints that has been a topic of studies …
A novel model-free deep reinforcement learning framework for energy management of a PV integrated energy hub
A Dolatabadi, H Abdeltawab… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper utilizes a fully model-free and data-driven deep reinforcement learning (DRL)
framework to develop an intelligent controller that can exploit information to optimally …
framework to develop an intelligent controller that can exploit information to optimally …
Roadmap towards clean and low carbon heating to 2035: A provincial analysis in northern China
S Ma, S Guo, D Zheng, S Chang, X Zhang - Energy, 2021 - Elsevier
China has made a lot of efforts on clean heating in Northern Region of China (NRC).
Although there are lots of studies focusing on NRC heating, most of them focus on reducing …
Although there are lots of studies focusing on NRC heating, most of them focus on reducing …
Risk-constrained scheduling of a CHP-based microgrid including hydrogen energy storage using robust optimization approach
S Nojavan, A Akbari-Dibavar… - International Journal of …, 2020 - Elsevier
Recently, the integration of various energy resources, including renewable generation and
combined heat and power (CHP) units in microgrids, has created the opportunity of off-grid …
combined heat and power (CHP) units in microgrids, has created the opportunity of off-grid …
[HTML][HTML] An innovative hybrid heap-based and jellyfish search algorithm for combined heat and power economic dispatch in electrical grids
This paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-
heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this …
heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this …
A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch
M Ramachandran, S Mirjalili, MM Ramalingam… - Expert Systems with …, 2022 - Elsevier
This paper attempts to obtain optimal generation scheduling for Combined Heat and Power
Economic Dispatch (CHPED) problems and seeking a possible solution for the global …
Economic Dispatch (CHPED) problems and seeking a possible solution for the global …
Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response
X Pang, Y Wang, Y Yu, W Liu - Energy, 2024 - Elsevier
An optimization scheduling method for cogeneration systems based on the Q-learning-
based memetic algorithm (QMA) is developed to enhance the system's wind power …
based memetic algorithm (QMA) is developed to enhance the system's wind power …
A hybrid robust-stochastic optimization framework for optimal energy management of electric vehicles parking lots
The integration of electric vehicles (EVs) into the energy industry has introduced an
unprecedented complexity into the energy supply system due to the uncertain nature of such …
unprecedented complexity into the energy supply system due to the uncertain nature of such …