Ideal‐Typical Utility Infrastructure at Chemical Sites – Definition, Operation and Defossilization

Bauer, Thomas; Prenzel, Marco; Klasing, Freerk; Franck, R.; Lützow, Julian; Perrey, Karen; Faatz, R.; Trautmann, Juliane; Reimer, Andreas; Kirschbaum, Stefan

doi:10.1002/cite.202100164

Cited by 8 publications

(9 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methods proposed are applied to an ideal-typical utility infrastructure (iCV) of a chemical site from [28].…”

Section: Input Parameters and Solving Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Simplified Dispatching Method for Unlocking Energy Flexibilities of Decentralized Energy Systems for the Day‑ahead and Balancing Power Market

Wasserfall,

Ouso,

Kirschbaum

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

View full text Add to dashboard Cite

The expansion of renewable energies in the power supply and the shutdown of conventional power plants can only succeed with an advancing flexibilization of the energy system. Decentralized energy systems, such as the energy supply system of a chemical site, can contribute to this, by unlocking the still unused potential for flexibilization. In order to lower the barriers to market participation, user-friendly and simple methods for the economic evaluation of flexibility with regard to the day-ahead and balancing power market are necessary. Accordingly, in this work a simplified dispatching method considering the day-ahead and the balancing power market in Germany for the mentioned distributed energy systems is developed using mixed-integer linear programming. Linear constraints commonly used in dispatching problems, such as energy balances, conversion efficiencies, and technical constraints, are coupled with new constraints representing the participation in the day-ahead and balancing power market. For the balancing power market the reserve of capacity and the balancing of energy with the uncertainty of calls are taken into account. As a result, the method can be used for day-ahead dispatching by considering the day-ahead energy market and the balancing power market simultaneously. Because the developed simplified method has low computation times compared to stochastic optimization, for example, it can additionally be applied for hourly resolved annual input data. These evaluations can support strategic planning by determining the economic value of flexibility in the event of market participation. Thus, the results form a starting point for further decisions to unlock unused flexibility.

show abstract

“…The methods proposed are applied to an ideal-typical utility infrastructure (iCV) of a chemical site from [28].…”

Section: Input Parameters and Solving Methodsmentioning

confidence: 99%

“…Figure 5: Layout of the ideal-typical utility infrastructure of a chemical site by [28] in the software TOP-Energy.…”

Section: Input Parameters and Solving Methodsmentioning

confidence: 99%

Simplified Dispatching Method for Unlocking Energy Flexibilities of Decentralized Energy Systems for the Day‑ahead and Balancing Power Market

Wasserfall,

Ouso,

Kirschbaum

2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

View full text Add to dashboard Cite

show abstract

“…From an energy system modelling perspective, some studies have assessed the impact of heat electrification. These studies often model the role of electric boilers coupled with high-temperature storage or hybrid CHP systems for negative flexibility [29]. The findings generally favour electrification over hydrogen-based processes due to lower system costs and higher efficiency [30,31].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Temporal Mixed-Integer Market Penetration Model for Cost-effective Uptake of Electric Boilers in the UK Chemical Industry

Patel,

Matalon,

Oluleye

2023

Preprint

View full text Add to dashboard Cite

The UK chemical industry is the largest consumer of natural gas for process heating and power generation, with an annual consumption of 26.3 TWh and accounts for 2% of UK’s total emissions. Industrial electrification enables moving away from fossil fuels to electricity for generation of lower carbon process heating. This study aims to accelerate the adoption of electric boilers in the UK's chemical industry, aligning with the UK’s ambitious 2035 industrial decarbonisation goals while considering economic impacts, by designing market-based policy interventions and comparing two adoption patterns. A novel multi-period Mixed-Integer Market Penetration Optimisation Model is developed and applied to inform decisions about transitioning from natural gas to electric boilers. The model is applied to a case study of all the heating systems (490 boilers) in the UK chemical industry from 1 MW to 60 MW boilers. At 100% uptake of electric boilers in 2033, the total carbon emissions reduce by 89%, which is above the 2035 UK industry goal of 60% reduction. Results show that effectively implementing a gas tax, electricity subsidy, annual grant and carbon tax can generate sufficient demand-pull to reduce the cost of electric boilers from 30 to 85% depending on the boiler size. A carbon tax starting at £280 per tCO2e and reducing to £170 per tCO2e coupled with electricity subsidies is essential for this transition. The policies are designed such that a win-win is achieved between government and industry; specifically, revenue from the carbon tax and gas tax is used to support the grant and electricity subsidy thereby achieving cost neutrality for government. The research establishes a robust policy timeline that can drive industrial electrification in the UK's chemical sector. It highlights the need for a multi-faceted approach, incorporating various policy instruments to overcome the barriers of high initial capital costs.

show abstract

“…In this formulation, further flexibilization of the energy system is possible by overproduction. However, overproduction, as, e.g., in Bauer et al (2022), may not always be possible for multi-energy systems, thus underlining the need for both formulations. Hence, we analyze based on both presented storage formulations in the following case study how a retrofit with the storage unit makes a multi-energy system more flexible.…”

Section: Formulation Flexiblementioning

confidence: 99%

“…We choose the electricity prices from Bundesnetzagentur (2021) for the same period (August 2019-July 2020) and select a typical day with hierarchical clustering using the TSAM package (Kotzur et al, 2018). Furthermore, we assume a difference between the electricity prices for selling and purchasing to account for carbon taxes (Bauer et al, 2022) and levies (Bundesnetzagentur, 2021) within the prices. Ultimately, Table 2 contains the overview of the case study parameters with average values and the respective data sources.…”

Section: Case Study Descriptionmentioning

confidence: 99%

Flexibility-expansion planning of multi-energy systems by energy storage for participating in balancing-power markets

Nolzen,

Leenders,

Bardow

2023

Front. Energy Res.

View full text Add to dashboard Cite

The growing need for balancing power combined with the shutdown of conventional power plants requires new balancing-power providers. In this context, industrial energy systems are particularly promising. However, the main task of industrial energy systems is to provide various energy forms. For this purpose, they operate interconnected units to maximize efficiency, but the interconnected operation also increases complexity, limiting flexibility due to the need to supply fixed demands. Energy storage can increase the flexibility of current and future industrial energy systems, thus enhancing the potential for sector coupling within the overall energy system at a low cost. To improve the flexibility of industrial energy systems, we propose a design optimization framework that accounts for investment in energy storage and for the provision of balancing power. Since the request of balancing power is uncertain, we present a stochastic program for the balancing-power market and propose two ways to model storage that both derive feasible storage operations while being computationally efficient. In a case study of a multi-energy system, cost savings between 6% and 17% can be achieved by increasing flexibility for participation in the balancing-power market with investment in heat storage. The sensitivity analysis identifies heat storage as particularly advantageous for heat-driven energy systems. Our method combines long-term investment decisions with short-term operational uncertainties to identify optimal investment decisions, which enhance the energy system’s flexibility for the provision of balancing power.

show abstract

Ideal‐Typical Utility Infrastructure at Chemical Sites – Definition, Operation and Defossilization

Cited by 8 publications

References 10 publications

Simplified Dispatching Method for Unlocking Energy Flexibilities of Decentralized Energy Systems for the Day‑ahead and Balancing Power Market

Simplified Dispatching Method for Unlocking Energy Flexibilities of Decentralized Energy Systems for the Day‑ahead and Balancing Power Market

A Novel Temporal Mixed-Integer Market Penetration Model for Cost-effective Uptake of Electric Boilers in the UK Chemical Industry

Flexibility-expansion planning of multi-energy systems by energy storage for participating in balancing-power markets

Contact Info

Product

Resources

About