Journal ArticleDOI
Scenario-based assessment for optimal planning of multi-carrier hub-energy system under dual uncertainties and various scheduling by considering CCUS technology
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TLDR
A scenario-based assessment strategy for the optimal scheduling of a hub by considering uncertain parameters (electricity price and wind turbine output power) and carbon capture utilization and storage technology simultaneously and considering function priority has a significant impact on the final results.About:
This article is published in Sustainable Energy Technologies and Assessments.The article was published on 2021-08-01. It has received 21 citations till now. The article focuses on the topics: Environmental pollution & Integer programming.read more
Citations
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Optimal economic scheduling of microgrids considering renewable energy sources based on energy hub model using demand response and improved water wave optimization algorithm
TL;DR: In this article , a stochastic optimization strategy was proposed for participating in energy market operations considering demand response (DR), and the results indicated the operating cost decreased when the MG implemented DR programs.
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A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub
TL;DR: In this article , an integrated material-energy-carbon hub is proposed for accurate carbon accounting and carbon flow tracing in the context of carbon neutrality for energy-intensive industries, such as the iron and steel industry.
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Multi-objective planning of energy hub on economic aspects and resources with heat and power sources, energizable, electric vehicle and hydrogen storage system due to uncertainties and demand response
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Collaborative optimization for a multi-energy system considering carbon capture system and power to gas technology
TL;DR: Considering the coexistence of coal-fired power plants and large-scale renewable energy in China, the authors couples the carbon capture system (CCS) and power to gas (P2G) technology to establish the relationship between the carbon reduction and the renewable energy utilization strategies.
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Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer
TL;DR: In this paper , a two-stage distributionally robust optimization model (TSDRO) based on kernel density estimation (KDE) and Wasserstein metric is proposed to solve the coordination problem of robustness, economy, environmental protection and efficiency.
References
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The path of the smart grid
TL;DR: The electrical power industry is undergoing rapid change as discussed by the authors, and the major drivers that will determine the speed at which such transformations will occur will be the rising cost of energy, the mass electrification of everyday life, and climate change.
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MES (multi-energy systems): An overview of concepts and evaluation models
TL;DR: In this paper, the authors provide a comprehensive and critical overview of the latest models and assessment techniques that are currently available to analyze MES and in particular DMG systems, including for instance energy hubs, microgrids, and VPPs (virtual power plants), as well as various approaches and criteria for energy, environmental, and technoeconomic assessment.
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Optimal Power Flow of Multiple Energy Carriers
Martin Geidl,Göran Andersson +1 more
TL;DR: In this article, the authors presented an approach for combined optimization of coupled power flows of different energy infrastructures such as electricity, gas, and district heating systems, which includes conversion and transmission of an arbitrary number of energy carriers.
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Security-Constrained Unit Commitment With Volatile Wind Power Generation
TL;DR: In this article, a security-constrained unit commitment (SCUC) algorithm is proposed for managing the security of power system operation by taking into account the intermittency and volatility of wind power generation.
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Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries
TL;DR: It is affirmed that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines CO2 emissions, and effective policy implications could be drawn toward modern and environmentally friendly energy sources, especially in attaining the Sustainable Development Goals.