Optimal operation of the hydrogen-based energy management system with P2X demand response and ammonia plant

Klyapovskiy, Sergey; Zheng, Yi; You, Shi; Bindner, Henrik W.

doi:10.1016/j.apenergy.2021.117559

Cited by 52 publications

(13 citation statements)

References 24 publications

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“…Function (31) is the relaxed version of the original objective function (30). In (32), auxiliary variable θ approximates the value of the lower-level function under the worst-case scenario. In the course of v = k iterations, the objective function of the lower-level problem is:…”

Section: Solution Methodologymentioning

confidence: 99%

Multi-timescale Trading Strategy for Renewable Power to Ammonia Virtual Power Plant in the Electricity, Hydrogen, and Ammonia Markets

Wu¹,

Lin²,

Li³

et al. 2023

Preprint

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Renewable power to ammonia (RePtA) is a prominent zero-carbon pathway for decarbonization. Due to the imbalance between renewables and production energy demand, the RePtA system relies on the electricity exchange with the power grid. Participating in the electricity market as a virtual power plant (VPP) may help to reduce energy costs. However, the power profile of local photovoltaics and wind turbines is similar to those in the market, resulting in rising energy costs under the conventional strategy. Hence, we develop a multi-timescale trading strategy for the RePtA VPP in the electricity, hydrogen, and ammonia markets. By utilizing the hydrogen and ammonia buffer systems, the RePtA VPP can optimally coordinate production planning. Moreover, we find it possible to describe the trading of electricity, ammonia, and hydrogen in a unified framework. The two-stage robust optimization model of the electricity market is extended to multiple markets and solved by the column and constraint generation (CC&G) algorithm. The case is derived from an actual project in the Inner Mongolia Autonomous Region. Sensitivity analysis demonstrates the economic advantages of an RePtA VPP joining multiple markets over conventional strategy and reveals the necessity of the hydrogen and ammonia buffer and reactor's flexibility.Index Terms-Renewable power to ammonia (RePtA), Virtual power plant (VPP), Multiple timescales, Multimarket trading strategy.

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Section: Solution Methodologymentioning

confidence: 99%

Multi-timescale Trading Strategy for Renewable Power to Ammonia Virtual Power Plant in the Electricity, Hydrogen, and Ammonia Markets

Wu¹,

Lin²,

Li³

et al. 2023

Preprint

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“…Utility-scale hydrogen production via water electrolysis has been recognized as a promising path toward renewable energy admittance and the decarbonization of the chemical and transportation industries [1,2,3].…”

Section: Motivationmentioning

confidence: 99%

“…However, its rule-based strategies cannot ensure an optimum. Klyapovskiy et al [3] proposed an energy management framework for ammonia production using green hydrogen. It used an aggregated factor to model the relation between electricity and hydrogen.…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects

Qiu¹,

Zhou²,

Zang³

et al. 2023

Preprint

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In the conversion toward a clear and sustainable energy system, the flexibility of power-to-hydrogen (P2H) production enables the admittance of volatile renewable energies on a utility scale and provides the connected electrical power system with ancillary services. To extend the load flexibility and thus improve the profitability of green hydrogen production, this paper presents an optimal production scheduling approach for utility-scale P2H plants composed of multiple alkaline electrolyzers. Unlike existing works, this work discards the conservative constant steady-state constraints and first leverages the dynamic thermal and hydrogen-to-oxygen (HTO) impurity crossover processes of electrolyzers. Doing this optimizes their effects on the loading range and energy conversion efficiency, therefore improving the load flexibility of P2H production. The proposed multiphysics-aware scheduling model is formulated as mixed-integer linear programming (MILP). It coordinates the electrolyzers' operation state transitions and load allocation subject to comprehensive thermodynamic and mass transfer constraints. A decomposition-based solution method, SDM-GS-ALM, is followingly adopted to address the scalability issue for scheduling large-scale P2H plants composed of tens of electrolyzers. With an experiment-verified dynamic electrolyzer model, case studies up to 22 electrolyzers show that the proposed method remarkably improves the hydrogen output and profit of P2H production powered by either solar or wind energy compared to the existing scheduling approach.

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“…In addition to automating flexible device control, including the user's indifference to minor temperature changes, EMSs can exploit further load flexibility by sector coupling, hydrogen production, and material buffers. While Lu et al [66] differentiate between critical, shiftable, and controllable loads in a steel powder manufacturing system, Klyapovskiy et al [65] increase flexibility by using a potential electricity surplus for hydrogen production. Choobineh and Mohaghehghi [73] distinguish between direct load control, where the utility directly shuts down the load remotely, and indirect load control, where the customer receives an optional request from the utility.…”

Section: Energy Demand Supply and Storagementioning

confidence: 99%

A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems

Sievers

Blank

2023

Energies

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The energy transition and the resulting expansion of renewable energy resources increasingly pose a challenge to the energy system due to their volatile and intermittent nature. In this context, energy management systems are central as they coordinate energy flows and optimize them toward economic, technical, ecological, and social objectives. While numerous scientific publications study the infrastructure, optimization, and implementation of residential energy management systems, only little research exists on industrial energy management systems. However, results are not easily transferable due to differences in complexity, dependency, and load curves. Therefore, we present a systematic literature review on state-of-the-art research for residential and industrial energy management systems to identify trends, challenges, and future research directions. More specifically, we analyze the energy system infrastructure, discuss data-driven monitoring and analysis, and review the decision-making process considering different objectives, scheduling algorithms, and implementations. Thus, based on our insights, we provide numerous recommendations for future research in residential and industrial energy management systems.

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Optimal operation of the hydrogen-based energy management system with P2X demand response and ammonia plant

Cited by 52 publications

References 24 publications

Multi-timescale Trading Strategy for Renewable Power to Ammonia Virtual Power Plant in the Electricity, Hydrogen, and Ammonia Markets

Multi-timescale Trading Strategy for Renewable Power to Ammonia Virtual Power Plant in the Electricity, Hydrogen, and Ammonia Markets

Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects

A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems

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