The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets

Christidis, Andreas; Koch, Christoph; Pottel, Lothar; Tsatsaronis, George

doi:10.1016/j.energy.2011.06.048

Cited by 127 publications

(69 citation statements)

References 7 publications

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“…For the long-term planning of a district heating network, Thorin et al (2005) [38] use a similar approach as Makkonen and Lahdelma (2006) [36] to describe the operating regimes of the individual components and additionally include minimum up-and downtime constraints. In a similar manner, Christidis et al (2012) [17] study the impact of heat storage in the context of the long-term planning problem.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, they represent an entire CHP plant with the convex of combination of triplets: power output, heat output and cost. In contrast, Thorin et al (2005) [38] and Christidis et al (2012) [17] model district heating CHP plants on a component-basis. They describe the feasible region of steam turbines in the power output-heat output space (for a single pressure level) with linear inequalities based on operating data.…”

Section: Multi-stage Steam Turbinementioning

confidence: 99%

“…The logic constraint (15) is used to link the mode variables y h c,m for each plant component with the corresponding transitional variables z h c,m,m . Constraint (17) enforces that forbidden transitions cannot be active. Minimum stay restrictions for transitions and uptime (Table 2) are modeled with constraint (18).…”

Section: Model Formulationmentioning

confidence: 99%

“…Note that the resulting formulation can be nonlinear, depending on the nature of the industrial process. Furthermore, it is possible to enhance flexibility by investments in thermal storage systems, as it is explored for district heating (Christidis et al, 2012) [17] and for industrial CHP (Cole et al, 2012) [18]. CHP plants can also be part of so-called virtual power plants that facilitate the integration of different renewable energy sources (Wille-Haussmann et al, 2010) [19].…”

Section: Introductionmentioning

confidence: 99%

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Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Mitra

Sun

Grossmann

2013

Energy

228

109

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Combined heat and power (CHP) plants are widely used in industrial applications. In the aftermath of the recession, many of the associated production processes are under-utilized, which challenges the competitiveness of chemical companies. However, under-utilization can be a chance for tighter interaction with the power grid, which is in transition to the so-called smart grid, if the CHP plant can dynamically react to time-sensitive electricity prices.In this paper, we describe a generalized mode model on a component basis that addresses the operational optimization of industrial CHP plants. The mode formulation tracks the state of each plant component in a detailed manner and can account for different operating modes, e.g. fuel-switching for boilers and supplementary firing for gas turbines, and transitional behavior. Transitional behavior such as warm and cold start-ups, shutdowns and pre-computed start-up trajectories is modeled with modes as well. The feasible region of operation for each component is described based on input-output relationships that are thermodynamically sound, such as the Willans line for steam turbines. Furthermore, we emphasize the use of mathematically efficient logic constraints that allow solving the large-scale models fast.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Multi-stage Steam Turbinementioning

confidence: 99%

Section: Model Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Mitra

Sun

Grossmann

2013

Energy

228

109

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“…Due to the rising share of the fluctuating energy resources, the combination of CHP and well-planned thermal energy storage facilities ensure grid stability. Operating CHPs in high price periods within a day ahead market is an opportunity to grant energy supply to the electricity grid [130,131].…”

Section: Planning Of Decentralized Storage Facilitiesmentioning

confidence: 99%

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

Resch

Sagl

Törnros

et al. 2014

IJGI

124

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Abstract:In the face of the broad political call for an -energy turnaround‖, we are currently witnessing three essential trends with regard to energy infrastructure planning, energy generation and storage: from planned production towards fluctuating production on the basis of renewable energy sources, from centralized generation towards decentralized generation and from expensive energy carriers towards cost-free energy carriers. These changes necessitate considerable modifications of the energy infrastructure. Even though most of these modifications are inherently motivated by geospatial questions and challenges, the integration of energy system models and Geographic Information Systems (GIS) is still in its infancy. This paper analyzes the shortcomings of previous approaches in using GIS in renewable energy-related projects, extracts distinct challenges from these previous efforts and, finally, defines a set of core future research avenues for GIS-based energy infrastructure planning with a focus on the use of renewable energy. These future OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 663 research avenues comprise the availability base data and their -geospatial awareness‖, the development of a generic and unified data model, the usage of volunteered geographic information (VGI) and crowdsourced data in analysis processes, the integration of 3D building models and 3D data analysis, the incorporation of network topologies into GIS, the harmonization of the heterogeneous views on aggregation issues in the fields of energy and GIS, fine-grained energy demand estimation from freely-available data sources, decentralized storage facility planning, the investigation of GIS-based public participation mechanisms, the transition from purely structural to operational planning, data privacy aspects and, finally, the development of a new dynamic power market design.Keywords: integration of GIS and energy system models; GIS and renewable energy; GIS-based energy infrastructure planning; future research challenges; fluctuating renewables; structural planning of local energy systems; operation optimization

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A Review of Renewable Energy Efficiency Technologies Toward Conversational AI

Kannadhasan,

Nagarajan

2024

Conversational Artificial Intelligence

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The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets

Cited by 127 publications

References 7 publications

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues

A Review of Renewable Energy Efficiency Technologies Toward Conversational AI

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