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#1Ieva Pakere (Riga Technical University)H-Index: 5
#2D. Bluberga (Riga Technical University)H-Index: 13
Abstract Solar energy has become a reasonable solution for power and heat production due to the continuous advancements of solar technologies. There are several solar system technologies available for heat production in district heating (DH) – solar thermal collectors (SC), photovoltaic (PV) panels for power production and self-power consumption coverage of heating plants, as well as photovoltaic thermal panels (PVT) which can generate both power and heat energy. In addition, the authors of this...
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#2Samarjeet KumarH-Index: 1
Last. Dhyan SinghH-Index: 16
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Abstract Of late researchers are putting stress on the active utilisation of solar energy to promote the use of renewable energy. Solar water heating is considered as an environmental friendly technique to harness the solar energy for heating application. In this research, the effects of using Phase Change Materials (PCM) doped CuO nanocomposite as storage medium on the performance of a solar water heater have been experimentally investigated. By varying the wt% of nano CuO, the gap between the ...
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#1Gerrit Thorben Bode (RWTH Aachen University)H-Index: 2
#2Simon Thul (RWTH Aachen University)
Last. Dirk Müller (RWTH Aachen University)H-Index: 23
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Abstract Buildings are responsible for a large portion of the overall energy consumption. With the rising penetration of renewable energies, the heating and cooling demand of buildings will be increasingly satisfied by heat pumps. However, faults in the heat pump systems reduce energy efficiency or cause system failure, leading to an increased demand for primary energy. Hence, fault detection algorithms (FDA) are used to identify faults before system failure or efficiency deterioration occurs. W...
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#1Bohong Wang (Brno University of Technology)H-Index: 1
#2Jiří Jaromír Klemeš (Brno University of Technology)H-Index: 46
Last. Min Zeng (Xi'an Jiaotong University)H-Index: 25
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Abstract Graphical tools are useful in the heat exchanger network (HEN) retrofit to maximise energy savings. The disadvantage of heuristic rules, which are usually applied to make retrofit decisions using graphical tools, is that they could lead to sub-optimal solutions. The presented study developed a two-stage method for HEN retrofit. In the first stage, a mixed-integer linear programming (MILP) model is formulated based on the structure of the shifted retrofit thermodynamic grid diagram (SRTG...
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#1Gang Wu (Sichuan University)H-Index: 30
#2Yue Xiang (Sichuan University)H-Index: 6
Last. Shafqat Jawad (Sichuan University)
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Abstract To maximize the benefits of multi-area cooperation and guarantee system reliability, a day-ahead scheduling model for multi-area integrated electricity and natural gas systems (IEGS) considering reserve optimization is proposed in this paper. The reserve scheduling is integrated into the multi-area optimal dispatch model to hedge against the risk caused by the uncertainties in electricity and gas systems. The reserve constraints in electricity and natural gas systems are modeled as prob...
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#1Lin LvH-Index: 3
#1Lin Lyu (Sichuan University)
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Abstract Electric vehicles (EVs) have received significant attention in recent years. The high penetration of EVs increased the charging load in the distribution network, which has an enormous impact on “transportation and power grid” coupled energy networks. This paper developed the models and methods to evaluate the capacity of electrical energy supply based on voltage stability in the worst charging case scenario, under the existing coupled network. An optimization method with transportation ...
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#2Xiaolei LiH-Index: 2
Last. Qiangqiang ZhangH-Index: 3
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Abstract Thermal energy storage system in concentrating solar power plants can guarantee sustainable and stable electricity output in case of highly unstable solar irradiation conditions. In this paper, the lumped parameter method is used to develop the models of different thermal energy storage systems. In order to improve the reliability as well as the prediction accuracy of developed models, the charging/discharging process is firstly simulated, and then the dynamic characteristics of thermal...
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#1Tanveer Ahmad (HUST: Huazhong University of Science and Technology)H-Index: 8
#2Chen Huanxin (HUST: Huazhong University of Science and Technology)H-Index: 3
Last. Hongcai Zhang (UM: University of Macau)H-Index: 10
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Abstract Developing a reliable and robust algorithm for accurate energy demand prediction is indispensable for utility companies for various applications, e.g., power dispatching, market participation and infrastructure planning. However, this is challenging because the performance of a forecasting algorithm may be affected by various factors, such as data quality, geographic diversity, forecast horizon, customer segmentation and the forecast origin. Furthermore, an approach that performs well i...
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#1Ziming MaH-Index: 1
#2Haiwang ZhongH-Index: 16
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Abstract With the high penetration of renewable energy, such as hydro, wind and solar, curtailment is a serious issue in some regions, such as China. The key issue is lacking of flexibility, primarily due to the limited dispatchable range of thermal generators. There is an urgent need to expand the dispatchable range to promote the renewable energy accommodation. To this end, a new constraint relaxation-based day-ahead market mechanism is proposed. The trade-off between thermal units and renewab...
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#1Nils BaumgärtnerH-Index: 3
#2David ShuH-Index: 1
Last. André BardowH-Index: 28
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Abstract Long-term operational optimization of energy systems results in challenging, large-scale problems. These large-scale problems can be directly decomposed into smaller subproblems, in the absence of time-coupling constraints and variables. However, time-coupling is common in energy systems, e. g. due to (seasonal) energy storage and peak-power prices. To solve time-coupled long-term operational optimization problems, we propose the method DeLoop for the De composition-based L ong-term o p...
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