Evaluation of Long-Term Scenarios for Power Generation and District Heating at Stadtwerke München

Moser, Michaela; Greller, Martin; Fallahnejad, Mostafa

doi:10.1007/s00287-014-0852-y

Cited by 5 publications

(3 citation statements)

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“…This way they compared TRA (Trust Region Algorithm), PSO, dynamic programming and a MILP (with a simplified storage representation) coupled with the TRA (with the original storage representation). Finally, the KEO model 121 * is a UC model that is soft‐linked to an energy‐economic model built on Excel to evaluate long term scenarios for both power and district heating systems.…”

Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

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Summary Energy system planning is a difficult task, since it involves long‐term decision‐makings with multiple dimensions: technical, economic, social, ecological, and political. The rise of distributed and multi‐energy systems including new technologies has further increased this complexity. Techno‐economic studies based on optimization models have recently received much attention in the literature. They are essential to grasp energy systems complexity and provide decision support. This work targets methodological issues related to local systems while comparing them with methods used at larger scales. First, a new framework providing a comprehensive vision of added values and limits of optimization models is presented. Then, the main methodological trends as well as several undertaken research paths are identified based on the analysis of more than 60 research papers. The review results are summarized in a complete and concise table. Finally, future research topics are discussed including the operational facets of investment optimization models in case of high intermittent energy shares, flexibility issues and long‐term operational decisions. The results provide useful information to modellers or researchers that look for appropriate and state‐of‐the‐art optimization methods, or aim to deepen current research paths. Hence, they will facilitate the planning and development of energy systems for the future.

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Section: Survey Of Optimization Methods For Energy System Planningmentioning

confidence: 99%

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Cuisinier

Bourasseau

Ruby

et al. 2020

Intl J of Energy Research

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“…Repowering of an existing thermal power plant (TPP) or an industrial combined heat and power unit (CHP) can be performed on various degrees of complexity, and it may require extensive investment associated with the replacement of one or several key obsolete components [28]. Reasons for repowering include the need to prolong the lifetime of an existing plant [29], which is less costly than constructing a new one, to cut down fuel costs and other operational expenses [30], and to decrease its impact on the environment [24,31]. Often, an increase in the production capacity and plant flexibility is also pursued [32,33].…”

Section: Repowering Of Thermal Power Plants and Industrialmentioning

confidence: 99%

Repowering Industrial Combined Heat and Power Units: a Contribution to Cleaner Energy Production

Variny¹,

Kšiňanová²

2022

Pol. J. Environ. Stud.

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Repowering of industrial combined heat and power units allows reducing industrial greenhouse gases emissions. An existing industrial unit served as model in the gas turbines-based repowering study, aiming at fuel consumption and carbon dioxide emissions reduction. Following unit's model setup and verification, two conservative repowering options (hot windbox and separate gas turbine + heat recovery steam generator) were assessed from economic, energetic, and environmental point of view, including seasonal impact. Hot windbox option leads to annual power production increase by 14.3% (72.8 GWh/year), accompanied by carbon dioxide emissions reduction by 3.9 % (29.5 ktons/year) compared to the base case. The second option delivered more significant power production increase (+261.9 to +298.6 GWh/year) with CO 2 emissions, either slightly higher (+1.5 %) or modestly lower (-4.0%), than in base case depending on heat recovery efficiency from gas turbine exhaust. Both options show feasible economics with simple payback period as low as four years under favorable combination of fuel and electricity prices and CO 2 costs. External CO 2 emissions change due to the change in unit's power production further reduces the total CO 2 emissions, strongly depending on the applied power production emission factor.

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“…Additionally, it depends on whether the unit is installed in a residential sector, a small industrial sector, or in a large industry. The design and management of the trigeneration unit is a challenging task because the heat and cold consumption in both industrial and residential applications vary on an hourly or daily basis [4,5].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimizing the Performance of an Industrial Trigeneration Unit

Variny,

Kšiňanová,

Furda

2023

Asec 2023

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Evaluation of Long-Term Scenarios for Power Generation and District Heating at Stadtwerke München

Cited by 5 publications

References 0 publications

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Techno‐economic planning of local energy systems through optimization models: a survey of current methods

Repowering Industrial Combined Heat and Power Units: a Contribution to Cleaner Energy Production

Modeling and Optimizing the Performance of an Industrial Trigeneration Unit

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