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High penetration of renewables (RES) and the retirement of thermal units aggravate flexibility scarcity in power systems. Hydrogen-based low-carbon steel production systems possess substantial demand response (DR) potential. This paper…

系统与控制 · 电气工程与系统科学 2026-05-04 Qiang Ji , Lin Cheng , Yue Zhou , Ning Qi , Kaidi Huang , Jianzhong Wu , Ming Cheng

To address the lack of energy-carbon efficiency evaluation and the underutilization of low-temperature waste heat in traditional direct reduction iron (DRI) production, this paper proposes a novel zero-carbon hydrogen metallurgy system that…

系统与控制 · 电气工程与系统科学 2025-02-28 Qiang Ji , Lin Cheng , Zeng Liang , Yingrui Zhuang , Fashun Shi , Jianliang Zhang , Kejiang Li

Demand response (DR) is a cost-effective and environmentally friendly approach for mitigating the uncertainties in renewable energy integration by taking advantage of the flexibility of customers' demands. However, existing DR programs…

最优化与控制 · 数学 2017-05-11 Joshua Comden , Zhenhua Liu , Yue Zhao

In low-carbon grids, system flexibility can be enhanced through mechanisms such as Demand Response (DR), enabling the efficient utilization of renewable energy. However, as Synchronous Generators (SGs) are being replaced by renewable energy…

系统与控制 · 电气工程与系统科学 2026-01-23 Peng Wang , Zhengmao Li , Luis Badesa

The hydrogen-based route could be a valuable way to produce steel considering its low carbon dioxide emissions. In ULCOS, it is regarded as a long-term option, largely dependent on the emergence of a hydrogen economy. To anticipate its…

材料科学 · 物理学 2009-11-26 Andrea Ranzani Da Costa , D. Wagner , F. Patisson , D. Ablitzer

Currently, system operators implement demand response by dispatching controllable loads for economic reasons in day-ahead scheduling. Particularly, demand shifting from peak hours when the cost of electricity is higher to non-peak hours to…

最优化与控制 · 数学 2020-06-23 Arun Venkatesh Ramesh , Xingpeng Li

The uncertainty in the power supply due to fluctuating Renewable Energy Sources (RES) has severe (financial and other) implications for energy market players. In this paper, we present a device-level Demand Response (DR) scheme that…

计算工程、金融与科学 · 计算机科学 2018-05-03 Bijay Neupane , Torben Bach Pedersen , Bo Thiesson

Nowadays the emerging smart grid technology opens up the possibility of two-way communication between customers and energy utilities. Demand Response Management (DRM) offers the promise of saving money for commercial customers and…

系统与控制 · 电气工程与系统科学 2022-03-07 Hossein Mohammadi Rouzbahani , Abolfazl Rahimnezhad , Hadis Karimipour

Iron- and steelmaking cause ~7% of the global CO2 emissions, due to the use of carbon for the reduction of iron ores. Replacing carbon by hydrogen as the reductant offers a pathway to reduce emissions. However, production of hydrogen using…

Extreme weather and volatile wholesale electricity markets expose residential consumers to catastrophic financial risks, yet demand response at the distribution level remains an underutilized tool for grid flexibility and energy…

人工智能 · 计算机科学 2026-05-13 Jose E. Aguilar Escamilla , Lingdong Zhou , Xiangqi Zhu , Huazheng Wang

District heating networks (DHNs) have significant potential to decarbonize residential heating and accelerate the energy transition. However, designing carbon-neutral DHNs requires balancing several objectives, including economic costs,…

As the availability of weather-dependent, zero marginal cost resources such as wind and solar power increases, a variety of flexible electricity loads, or `demand sinks', could be deployed to use intermittently available low-cost…

系统与控制 · 电气工程与系统科学 2023-11-09 Sam van der Jagt , Neha Patankar , Jesse Jenkins

Digitalization and sector coupling enable companies to turn into flexumers. By using the flexibility of their multi-energy system (MES), they reduce costs and carbon emissions while stabilizing the electricity system. However, to identify…

系统与控制 · 电气工程与系统科学 2023-06-27 Markus Fleschutz , Markus Bohlayer , Marco Braun , Michael D. Murphy

Demand Response (DR) schemes are effective tools to maintain a dynamic balance in energy markets with higher integration of fluctuating renewable energy sources. DR schemes can be used to harness residential devices' flexibility and to…

计算机与社会 · 计算机科学 2018-05-16 Davide Frazzetto , Bijay Neupane , Torben Bach Pedersen , Thomas Dyhre Nielsen

This paper presents the design, implementation, and validation of a smart, low-cost Energy Management System (EMS) and Demand Charge Management (DCM) prototype, developed as part of an undergraduate senior design project. The system serves…

As the electrification process advances, enormous power flexibility is becoming available on the demand side, which can be harnessed to facilitate power system decarbonization. Hence, this paper studies the carbon-aware demand response…

系统与控制 · 电气工程与系统科学 2024-07-30 Xin Chen

Demand response (DR) refers to change in electricity consumption pattern of customers during on-peak hours in lieu of financial gains to reduce stress on distribution systems. Existing dynamic price models have not provided adequate success…

系统与控制 · 电气工程与系统科学 2021-05-24 Rayees A. Thokar , Nikhil Gupta , K. R. Niazi , Anil Swarnkar , Nand K. Meena

Within the framework of density functional theory (DFT), the total energy of crystal structures is calculated at zero temperature. Herein, we briefly discuss the DFT-based lattice-dynamics approach for computing crystal free energy, the…

材料科学 · 物理学 2015-07-01 Tran Doan Huan

District heating networks play a vital role in thermal energy supply in many countries. Thus, it comes to no surprise that these has been a central role in improving energy efficiency for private and public energy suppliers alike around the…

最优化与控制 · 数学 2025-05-29 Thomas Grandits , Stefano Coss , Gundolf Haase

One of the major issues with the integration of renewable energy sources into the power grid is the increased uncertainty and variability that they bring. If this uncertainty is not sufficiently addressed, it will limit the further…

最优化与控制 · 数学 2017-05-15 Joshua Comden , Zhenhua Liu , Yue Zhao
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