scholarly journals Multi-Objective Optimization and Performance Assessments of an Integrated Energy System Based on Fuel, Wind and Solar Energies

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 431
Author(s):  
Jingyun Li ◽  
Hong Zhao
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Cost Saving ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Energy System ◽  
Primary Energy ◽  
Saving Rate ◽  
Annual Cost Saving ◽  
Integrated Energy System

The integrated energy system (IES) is an efficient method for improving the utilization of renewable energy. This paper proposes an IES based on fuel, wind and solar energies, following an optimization study focused on determining optimal device capacities. The study included gas turbines, wind turbines, solar photovoltaic panels, ground source heat pumps, absorption chillers/heaters, batteries, and thermal storage. Objectives were incorporated into the optimization model for the overall performance of the IES; these included the primary energy saving rate, annual cost-saving rate, and carbon dioxide emission reduction. Then, the nondominated sorting genetic algorithm II was employed to solve the optimization problem for multiple objectives. Ultimately, the verification and sensitivity analyses of the optimization method were achieved by a case study of hospital buildings in Harbin. The optimization results indicated a primary energy saving rate, annual cost saving rate, and carbon dioxide emission reduction rate of 17.3%, 39.8%, and 53.8%, respectively. The total installed capacity for renewable energy generation accounted for 64.5% of performance optimization. Moreover, the price of natural gas affected the economic indicators of the IES–but failed to impact energy consumption indicators.

scholarly journals Impact of Renewable Energy on Carbon Dioxide Emission Reduction in Bangladesh

2021 ◽  
Vol 09 (05) ◽  
pp. 134-165
Author(s):  
Ahmed Dulal ◽  
Xilong Yao ◽  
Mandi Barker-Gibb ◽  
Mark Awe Tachega ◽  
Shuaishuai Ge ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Emission Reduction ◽  
Carbon Dioxide Emission

scholarly journals Low Carbon Scheduling Optimization of Flexible Integrated Energy System Considering CVaR and Energy Efficiency

2019 ◽  
Vol 11 (19) ◽  
pp. 5375 ◽  
Author(s):  
Liu ◽  
Nie
Keyword(s):  
Renewable Energy ◽  
Value At Risk ◽  
Operation Mode ◽  
Operating Cost ◽  
Carbon Dioxide Emission ◽  
Energy System ◽  
Conditional Value At Risk ◽  
Low Carbon ◽  
Integrated Energy System ◽  
Use Efficiency

With the rapid transformation of energy structures, the Integrated Energy System (IES) has developed rapidly. It can meet the complementary needs of various energy sources such as cold, thermal, and electricity in industrial parks; can realize multi-energy complements and centralized energy supplies; and can further improve the use efficiency of energy. However, with the extensive access of renewable energy, the uncertainty and intermittentness of renewable energy power generation will greatly reduce the use efficiency of renewable energy and the supply flexibility of IES so as to increase the operational risk of the system operator. With the goal of minimum sum of the system-operating cost and the carbon-emission penalty cost, this paper analyzes the combined supply of cooling, heating, and power (CCHP) influence on system efficiency, compared with the traditional IES. The flexible modified IES realizes the decoupling of cooling, thermal, and electricity; enhances the flexibility of the IES in a variety of energy supply; at the same time, improves the use efficiency of multi-energy; and reasonably avoids the occurrence of energy loss and resource waste. With the aim of reducing the risk that the access of renewable energy may bring to the IES, this paper introduces the fuzzy c-mean-clustering comprehensive quality (FCM-CCQ) algorithm, which is a novel method superior to the general clustering method and performs cluster analysis on the output scenarios of wind power and photovoltaic. Meanwhile, conditional value at risk (CVaR) theory is added to control the system operation risk, which is rarely applied in the field of IES optimization. The model is simulated in a numerical example, and the results demonstrate that the availability and applicability of the presented model are verified. In addition, the carbon dioxide emission of the traditional operation mode; thermoelectric decoupling operation mode; and cooling, thermal, and electricity decoupling operation mode of the IES decrease successively. The system flexibility is greatly enhanced, and the energy-use rate of the system is improved as a whole. Finally, IES, after its flexible transformation, significantly achieve energy conservation, emission reduction, and environmental protection.

The role of renewable energy in carbon dioxide emission reduction in Poland

1995 ◽  
Vol 52 (2-3) ◽  
pp. 291-298 ◽  
Author(s):  
Grzegorz Wisniewski ◽  
Magdalena Rogulska ◽  
Anna Grzybek ◽  
Stanislaw M. Pietruszko
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Emission Reduction ◽  
Carbon Dioxide Emission

scholarly journals Dynamic Modelling of LNG Powered Combined Energy Systems in Port Areas

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3640
Author(s):  
Davide Borelli ◽  
Francesco Devia ◽  
Corrado Schenone ◽  
Federico Silenzi ◽  
Luca A. Tagliafico
Keyword(s):  
Energy Savings ◽  
Ghg Emissions ◽  
Dynamic Modelling ◽  
Energy Systems ◽  
Energy System ◽  
Primary Energy ◽  
Time Behavior ◽  
Vapor Compression Refrigeration Cycle ◽  
Integrated Energy System ◽  
Energy Share

Liquefied Natural Gas (LNG) is a crucial resource to reduce the environmental impact of fossil-fueled vehicles, especially with regards to maritime transport, where LNG is increasingly used for ship bunkering. The present paper gives insights on how the installation of LNG tanks inside harbors can be capitalized to increase the energy efficiency of port cities and reduce GHG emissions. To this purpose, a novel integrated energy system is introduced. The Boil Off Gas (BOG) from LNG tanks is exploited in a combined plant, where heat and power are produced by a regenerated gas turbine cycle; at the same time, cold exergy from LNG regasification contributes to an increase in the efficiency of a vapor compression refrigeration cycle. In the paper, the integrated energy system is simulated by means of dynamic modeling under daily variable working conditions. Results confirm that the model is stable and able to determine the time behavior of the integrated plant. Energy saving is evaluated, and daily trends of key thermophysical parameters are reported and discussed. The analysis of thermal recovering from the flue gases shows that it is possible to recover a large energy share from the turbine exhausts. Hence, the system can generate electricity for port cold ironing and, through a secondary brine loop, cold exergy for a refrigeration plant. Overall, the proposed solution allows primary energy savings up to 22% when compared with equivalent standard technologies with the same final user needs. The exploitation of an LNG regasification process through smart integration of energy systems and implementation of efficient energy grids can contribute to greener energy management in harbors.

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