A review on time series aggregation methods for energy system models
Due to the high degree of intermittency of renewable energy sources (RES) and the growing
interdependences amongst formerly separated energy pathways, the modeling of adequate …
interdependences amongst formerly separated energy pathways, the modeling of adequate …
Research on life cycle low carbon optimization method of multi-energy complementary distributed energy system: A review
C Liu, H Wang, ZY Wang, Z Liu, Y Tang… - Journal of Cleaner …, 2022 - Elsevier
Reducing environmental pollution, developing and utilizing low-carbon integrated energy
system, making economic development maintain a good momentum of sustainable …
system, making economic development maintain a good momentum of sustainable …
Comparative study of two novel micro-CCHP systems based on organic Rankine cycle and Kalina cycle
H Rostamzadeh, M Ebadollahi, H Ghaebi… - Energy conversion and …, 2019 - Elsevier
With regard to the significant role of combined cooling, heating, and power (CCHP) systems
in performance enhancement of power plants, two novel micro-CCHP systems are …
in performance enhancement of power plants, two novel micro-CCHP systems are …
Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation
Microgrids are small-scale power systems with local generation, storage systems and load
demands, that can operate connected to the main grid or islanded. In such systems, optimal …
demands, that can operate connected to the main grid or islanded. In such systems, optimal …
Thermodynamic and thermoeconomic analysis of a novel ammonia-water mixture combined cooling, heating, and power (CCHP) cycle
In this research, a new ammonia-water mixture CCHP system driven by a LTHS is proposed
which is a modified version of a Kalina cycle. Feasibility investigation of the recommended …
which is a modified version of a Kalina cycle. Feasibility investigation of the recommended …
Multi-criteria assessment and optimization study on 5 kW PEMFC based residential CCHP system
X Chen, H Zhou, W Li, Z Yu, G Gong, Y Yan… - Energy conversion and …, 2018 - Elsevier
This paper presents a multi-criteria assessment (including thermodynamics, economics and
environment) study on 5 kW PEMFC based residential combined cooling, heating and …
environment) study on 5 kW PEMFC based residential combined cooling, heating and …
Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis
T Schütz, MH Schraven, M Fuchs, P Remmen… - Renewable energy, 2018 - Elsevier
The optimal design, sizing and operation of building energy systems is a complex problem
due to the variety of available generation and storage devices as well as the high-resolution …
due to the variety of available generation and storage devices as well as the high-resolution …
Optimal integrated sizing and operation of a CHP system with Monte Carlo risk analysis for long-term uncertainty in energy demands
L Urbanucci, D Testi - Energy conversion and management, 2018 - Elsevier
In this study a probabilistic approach for optimal sizing of cogeneration systems under long-
term uncertainty in energy demand is proposed. A dynamic simulation framework for …
term uncertainty in energy demand is proposed. A dynamic simulation framework for …
Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning
As the world's population and economy grow, demand for energy increases as well. Smart
grids can be a cost-effective solution to overcome increases in energy demand and ensure …
grids can be a cost-effective solution to overcome increases in energy demand and ensure …
Impact factors analysis on the probability characterized effects of time of use demand response tariffs using association rule mining method
Time of use (TOU) rate has been regarded as an effective strategy to associate utility
companies to avoid peak time financial risks and make the most profit out of the market …
companies to avoid peak time financial risks and make the most profit out of the market …