Amos Schledorn

ORCID: 0000-0001-9517-2312
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About
Contact & Profiles
Research Areas
  • Smart Grid Energy Management
  • Integrated Energy Systems Optimization
  • Building Energy and Comfort Optimization
  • Electric Power System Optimization
  • Energy Efficiency and Management
  • Green IT and Sustainability
  • Microgrid Control and Optimization
  • Electric Vehicles and Infrastructure
  • Economic and Environmental Valuation
  • Transportation Planning and Optimization
  • Hybrid Renewable Energy Systems
  • Process Optimization and Integration
  • Global Energy Security and Policy
  • Renewable energy and sustainable power systems
  • Energy and Environment Impacts

Technical University of Denmark
2021-2024

Dynamic Systems (United States)
2020-2021

To meet carbon emission reduction goals in line with the Paris agreement, planning resilient and sustainable energy systems has never been more important. In building sector, particularly, strategic urban engenders large optimization problems across multiple spatiotemporal scales leading to necessary system scope simplifications. This resulted disconnected scales, namely, occupants (bottom layer) smart-city networks (top layer). paper intends on bridging these disjointed secure both...

10.1016/j.apenergy.2023.121589 article EN cc-by Applied Energy 2023-07-24

Transitioning energy systems to renewable sources requires a paradigm shift in system operation: Rather than only dispatching central generators match volatile demand, the demand side must also be adjusted flexibly generation. Electrified heating is one source of such flexibility, via response and heat storage. In analysis, often modelled as direct control problem, where decisions set levels. We consider this an over-simplification have previously proposed Frigg, framework for integrating...

10.1016/j.apenergy.2024.122960 article EN cc-by Applied Energy 2024-04-11

Flexible and responsive demand is key to the decarbonising of energy systems. In this paper, an economic dispatch model a district heating system, modelled as linear program, soft-linked so-called flexibility function end-consumer responses time-varying heat prices, generically set ordinary differential equations. This linkage allows us determine cost savings potential response in order quantify its role smart Our contribution optimal soft-linking framework for system models, named Frigg....

10.1016/j.apenergy.2022.119074 article EN cc-by Applied Energy 2022-04-30

The wide spread of district heating in Denmark offers a massive potential for flexibility an energy system with intermittent renewable production. To leverage this potential, cost-efficient power market integration combined heat and (CHP) units systems is important. We propose stochastic program optimising block bids to the day-ahead CHP under uncertain prices. Block allow internalisation start-up costs. Based on program, we develop solution approach based sample average approximation (SAA)...

10.1016/j.segy.2021.100004 article EN cc-by Smart Energy 2021-02-01

Home energy management systems (HEMSs) are expected to become a crucial part of future smart grids. However, there is limited number studies that comprehensively assess the potential economic benefits HEMS for consumers under real market conditions and which take account consumers' capabilities. In this study, new optimization-based controller presented operate photovoltaic battery system. The considers electrical load uncertainty by integrating multivariate probabilistic forecasting methods...

10.48550/arxiv.2203.08639 preprint EN other-oa arXiv (Cornell University) 2022-01-01

District heating is an important component in the EU strategy to reach set emission goals, since it allows efficient supply of heat while using advantages sector coupling between different energy carriers such as power, heat, gas and biomass. Most district systems use several types units produce for hundreds or thousands households. The technologies from natural gas-fired electric boilers biomass-fired well waste industrial processes solar thermal units. Furthermore, combined power (CHP) are...

10.48550/arxiv.2211.00934 preprint EN other-oa arXiv (Cornell University) 2022-01-01

To meet carbon emission reduction goals in line with the Paris agreement, planning resilient and sustainable energy systems has never been more important. In building sector, particularly, strategic urban engenders large optimization problems across multiple spatiotemporal scales leading to necessary system scope simplifications. This resulted disconnected scales, namely, occupants smart-city networks. paper intends on bridging these disjointed secure both energy-efficient thanks a holistic...

10.48550/arxiv.2303.03006 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Transitioning energy systems to renewable sources requires a paradigm shift in system operation: Rather than only dispatching central generators match volatile demand, the demand side must also be adjusted flexibly generation. Electrified heating is one source of such flexibility, via response and heat storage.In analysis, often modelled as direct control problem, where decisions set levels. We consider this an over-simplification have previously proposed Frigg, framework for integrating...

10.2139/ssrn.4617554 preprint EN 2023-01-01
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