IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v134y2014icp309-320.html
   My bibliography  Save this item

Assessment and evaluation of flexible demand in a Danish future energy scenario

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Du, Y.F. & Jiang, L. & Li, Y.Z. & Counsell, J. & Smith, J.S., 2016. "Multi-objective demand side scheduling considering the operational safety of appliances," Applied Energy, Elsevier, vol. 179(C), pages 864-874.
  2. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
  3. Obara, Shin’ya & Utsugi, Yuta & Ito, Yuzi & Morel, Jorge & Okada, Masaki, 2015. "A study on planning for interconnected renewable energy facilities in Hokkaido, Japan," Applied Energy, Elsevier, vol. 146(C), pages 313-327.
  4. Halbrügge, Stephanie & Schott, Paul & Weibelzahl, Martin & Buhl, Hans Ulrich & Fridgen, Gilbert & Schöpf, Michael, 2021. "How did the German and other European electricity systems react to the COVID-19 pandemic?," Applied Energy, Elsevier, vol. 285(C).
  5. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  6. Dranka, Géremi Gilson & Ferreira, Paula, 2019. "Review and assessment of the different categories of demand response potentials," Energy, Elsevier, vol. 179(C), pages 280-294.
  7. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
  8. Chévez, Pedro Joaquín & Martini, Irene & Discoli, Carlos, 2019. "Methodology developed for the construction of an urban-energy diagnosis aimed to assess alternative scenarios: An intra-urban approach to foster cities’ sustainability," Applied Energy, Elsevier, vol. 237(C), pages 751-778.
  9. Tang, Hong & Wang, Shengwei, 2021. "Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications," Energy, Elsevier, vol. 221(C).
  10. Oliveira Panão, Marta J.N. & Mateus, Nuno M. & Carrilho da Graça, G., 2019. "Measured and modeled performance of internal mass as a thermal energy battery for energy flexible residential buildings," Applied Energy, Elsevier, vol. 239(C), pages 252-267.
  11. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
  12. Cosmi, Carmelina & Dvarionenė, Jolanta & Marques, Isabel & Di Leo, Senatro & Gecevičius, Giedrius & Gurauskienė, Inga & Mendes, Gisela & Selada, Catarina, 2015. "A holistic approach to sustainable energy development at regional level: The RENERGY self-assessment methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 693-707.
  13. Okur, Özge & Voulis, Nina & Heijnen, Petra & Lukszo, Zofia, 2019. "Aggregator-mediated demand response: Minimizing imbalances caused by uncertainty of solar generation," Applied Energy, Elsevier, vol. 247(C), pages 426-437.
  14. Luo, Shihua & Hu, Weihao & Liu, Wen & Liu, Zhou & Huang, Qi & Chen, Zhe, 2022. "Flexibility enhancement measures under the COVID-19 pandemic – A preliminary comparative analysis in Denmark, the Netherlands, and Sichuan of China," Energy, Elsevier, vol. 239(PC).
  15. Okur, Özge & Heijnen, Petra & Lukszo, Zofia, 2021. "Aggregator’s business models in residential and service sectors: A review of operational and financial aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  16. Sousa, Joana & Soares, Isabel, 2022. "Demand response potential: An economic analysis for MIBEL and EEX," Energy, Elsevier, vol. 244(PA).
  17. Tomasz Ząbkowski & Krzysztof Gajowniczek & Grzegorz Matejko & Jacek Brożyna & Grzegorz Mentel & Małgorzata Charytanowicz & Jolanta Jarnicka & Anna Olwert & Weronika Radziszewska & Jörg Verstraete, 2023. "Cluster-Based Approach to Estimate Demand in the Polish Power System Using Commercial Customers’ Data," Energies, MDPI, vol. 16(24), pages 1-21, December.
  18. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
  19. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
  20. Alexandre Lucas & Luca Jansen & Nikoleta Andreadou & Evangelos Kotsakis & Marcelo Masera, 2019. "Load Flexibility Forecast for DR Using Non-Intrusive Load Monitoring in the Residential Sector," Energies, MDPI, vol. 12(14), pages 1-19, July.
  21. Hansen, Kenneth & Connolly, David & Lund, Henrik & Drysdale, David & Thellufsen, Jakob Zinck, 2016. "Heat Roadmap Europe: Identifying the balance between saving heat and supplying heat," Energy, Elsevier, vol. 115(P3), pages 1663-1671.
  22. Lakshmanan, Venkatachalam & Marinelli, Mattia & Hu, Junjie & Bindner, Henrik W., 2016. "Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark," Applied Energy, Elsevier, vol. 173(C), pages 470-480.
  23. Jantzen, Jan & Kristensen, Michael & Christensen, Toke Haunstrup, 2018. "Sociotechnical transition to smart energy: The case of Samso 1997–2030," Energy, Elsevier, vol. 162(C), pages 20-34.
  24. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
  25. Sha Liu & Jiong Shen, 2022. "Modeling of Large-Scale Thermal Power Plants for Performance Prediction in Deep Peak Shaving," Energies, MDPI, vol. 15(9), pages 1-18, April.
  26. Jack, M.W. & Suomalainen, K. & Dew, J.J.W. & Eyers, D., 2018. "A minimal simulation of the electricity demand of a domestic hot water cylinder for smart control," Applied Energy, Elsevier, vol. 211(C), pages 104-112.
  27. Doepfert, Markus & Castro, Rui, 2021. "Techno-economic optimization of a 100% renewable energy system in 2050 for countries with high shares of hydropower: The case of Portugal," Renewable Energy, Elsevier, vol. 165(P1), pages 491-503.
  28. Haicheng Ling & Pierre-Yves Massé & Thibault Rihet & Frédéric Wurtz, 2023. "Realistic Nudging through ICT Pipelines to Help Improve Energy Self-Consumption for Management in Energy Communities," Energies, MDPI, vol. 16(13), pages 1-24, July.
  29. Sokka, L. & Sinkko, T. & Holma, A. & Manninen, K. & Pasanen, K. & Rantala, M. & Leskinen, P., 2016. "Environmental impacts of the national renewable energy targets – A case study from Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1599-1610.
  30. Hvelplund, Frede & Østergaard, Poul Alberg & Meyer, Niels I., 2017. "Incentives and barriers for wind power expansion and system integration in Denmark," Energy Policy, Elsevier, vol. 107(C), pages 573-584.
  31. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.
  32. Söder, Lennart & Lund, Peter D. & Koduvere, Hardi & Bolkesjø, Torjus Folsland & Rossebø, Geir Høyvik & Rosenlund-Soysal, Emilie & Skytte, Klaus & Katz, Jonas & Blumberga, Dagnija, 2018. "A review of demand side flexibility potential in Northern Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 654-664.
  33. Li, Pei-Hao & Pye, Steve, 2018. "Assessing the benefits of demand-side flexibility in residential and transport sectors from an integrated energy systems perspective," Applied Energy, Elsevier, vol. 228(C), pages 965-979.
  34. Narayanan, Arun & Mets, Kevin & Strobbe, Matthias & Develder, Chris, 2019. "Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility," Renewable Energy, Elsevier, vol. 134(C), pages 698-709.
  35. Bellocchi, Sara & De Falco, Marcello & Gambini, Marco & Manno, Michele & Stilo, Tommaso & Vellini, Michela, 2019. "Opportunities for power-to-Gas and Power-to-liquid in CO2-reduced energy scenarios: The Italian case," Energy, Elsevier, vol. 175(C), pages 847-861.
  36. Máximo A. Domínguez-Garabitos & Víctor S. Ocaña-Guevara & Félix Santos-García & Adriana Arango-Manrique & Miguel Aybar-Mejía, 2022. "A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market," Energies, MDPI, vol. 15(4), pages 1-28, February.
  37. Zarazua de Rubens, Gerardo & Noel, Lance, 2019. "The non-technical barriers to large scale electricity networks: Analysing the case for the US and EU supergrids," Energy Policy, Elsevier, vol. 135(C).
  38. Batas Bjelić, Ilija & Rajaković, Nikola & Krajačić, Goran & Duić, Neven, 2016. "Two methods for decreasing the flexibility gap in national energy systems," Energy, Elsevier, vol. 115(P3), pages 1701-1709.
  39. Lopez, Gabriel & Aghahosseini, Arman & Child, Michael & Khalili, Siavash & Fasihi, Mahdi & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Impacts of model structure, framework, and flexibility on perspectives of 100% renewable energy transition decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.