SecMOD: An Open-Source Modular Framework Combining Multi-Sector System Optimization and Life-Cycle Assessment

Reinert, Christiane; Schellhas, Lars; Mannhardt, Jacob; Shu, David Yang; Kamper, Andreas; Baumgärtner, Nils; Deutz, Sarah; Bardow, André

doi:10.3389/fenrg.2022.884525

Cited by 22 publications

(7 citation statements)

References 50 publications

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“…This is important because the output of renewable resources such as wind and solar varies hourly and by location, while the chemical delivery contract typically varies monthly. Multiple time scales have been explored in other areas, such as in the production of bioproducts 43 or in more general energy planning problems, such as Reference 44, where the focus was more on central planning of the power utility as opposed to regional planning of microgrids.…”

Section: Literature Reviewmentioning

confidence: 99%

Distributed manufacturing for electrified chemical processes in a microgrid

Ramanujam,

Constante‐Flores,

2023

AIChE Journal

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To alleviate the greenhouse gas emissions by the chemical industry, electrification has been proposed as a solution where electricity from renewable sources is used to power processes. The adoption of renewable energy is complicated by its spatial and temporal variations. To address this challenge, we investigate the potential of distributed manufacturing for electrified chemical processes installed in a microgrid. We propose a multiscale mixed‐integer linear programming model for locating modular electrified plants, renewable‐based generating units, and power lines in a microgrid that includes monthly transportation and hourly scheduling decisions. We propose a K‐means clustering‐based aggregation disaggregation matheuristic to solve the model efficiently. The model and algorithm are tested using a case study with 20 candidate locations in Western Texas. Additionally, we define a new concept, “the Value of the Multi‐scale Model,” to demonstrate the additional economic benefits of our model compared with a single‐scale model.

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Section: Literature Reviewmentioning

confidence: 99%

Distributed manufacturing for electrified chemical processes in a microgrid

Ramanujam,

Constante‐Flores,

2023

AIChE Journal

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show abstract

“…This is important because the output of renewable resources such as wind and solar varies hourly and by location, while the chemical delivery contract typically varies monthly. Multiple time scales have been explored in other areas, such as in the production of bioproducts [43] or in more general energy planning problems, such as [44], where the focus was more on central planning of the power utility as opposed to regional planning of microgrids.…”

Section: Literature Reviewmentioning

confidence: 99%

Distributed Manufacturing for Electrified Chemical Processes in a Microgrid

Ramanujam

Constante-Flores

Can

2023

Preprint

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To alleviate the greenhouse gas emissions by the chemical industry, electrification has been proposed as a solution where electricity from renewable sources is used to power processes. The adoption of renewable energy is complicated by its spatial and temporal variations. To address this challenge, we investigate the potential of distributed manufacturing for electrified chemical processes installed in a microgrid. We propose a multi-scale mixed-integer linear programming model for locating modular electrified plants, renewable-based generating units, and power lines in a microgrid that includes monthly transportation and hourly scheduling decisions. We propose a K-means clustering-based aggregation disaggregation matheuristic to solve the model efficiently. The model and algorithm are tested using a case study with 20 candidate locations in Western Texas. Additionally, we define a new concept, “the Value of the Multi-scale Model”, to demonstrate the additional economic benefits of our model compared with a single-scale model.

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“…To answer these research questions, we model the Swiss sector-coupled energy system using the linear optimization framework SecMOD [20]. We use a snapshot approach, constrain the system to net-zero emissions, and determine the system's cost-optimal investments and operation for varying degrees of industrial DSM.…”

Section: How Does Industrial Dsm Interplay With Other Flexibility Opt...mentioning

confidence: 99%

“…The Swiss sector-coupled energy system is modelled with the open-source linear optimization framework SecMOD [20]. We consider the electricity, heat, and private mobility sectors within the energy system and focus on the year 2050 with an exogenous net-zero operational emissions constraint.…”

Section: Swiss Sector-coupled Energy Systemmentioning

confidence: 99%

Flexibility from Industrial Demand-Side Management in a Net-Zero Sector-Coupled Energy System

Mayer,

Heer,

Yang Shu

et al. 2023

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

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Energy systems require flexibility to help with the penetration of variable renewable energy. A promising solution for flexibility provision is demand-side management (DSM) from industry. However, the extent of flexibility from industrial DSM depends on the characteristics of industrial processes. In this work, we investigate the potential of industrial DSM as a flexibility provider to a net-zero sector-coupled energy system. Specifically, we investigate the cost reductions and the change in deployment of other flexibility options due to industrial DSM. We examine three system configurations for the Swiss sector-coupled energy system, varying the attractiveness of alternative flexibility options. To consider the characteristics of industrial processes, we parameterize the study with three representative industrial process characteristics: load-shifting potential, storage capacity, and losses. Our results show that the value of flexibility from industrial DSM highly depends not only on the process characteristics, but also on the system's flexibility alternatives, particularly for flexibility over longer time horizons. Due to differences in flexibility alternatives, the maximum cost reductions from industrial DSM vary between 2% and 27%. Additionally, we find that the effects of the three investigated characteristics on cost reductions also depend on the interactions with the alternative flexibility options. Depending on the interactions, cost reductions may stagnate as flexibility from industrial DSM is enhanced. Our study shows that while industrial DSM can serve as a flexibility provider to a net-zero sector-coupled energy system, the value of industrial DSM highly depends on both the characteristics of industrial processes and the system's alternative flexibility options. Both aspects must be considered when evaluating the extent of flexibility from industrial DSM.

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SecMOD: An Open-Source Modular Framework Combining Multi-Sector System Optimization and Life-Cycle Assessment

Cited by 22 publications

References 50 publications

Distributed manufacturing for electrified chemical processes in a microgrid

Distributed manufacturing for electrified chemical processes in a microgrid

Distributed Manufacturing for Electrified Chemical Processes in a Microgrid

Flexibility from Industrial Demand-Side Management in a Net-Zero Sector-Coupled Energy System

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