Eguiarte, O.de Agustín-Camacho, P.Garrido-Marijuán, A.Romero-Amorrortu, A.2020-12Eguiarte , O , de Agustín-Camacho , P , Garrido-Marijuán , A & Romero-Amorrortu , A 2020 , ' Domestic space heating dynamic costs under different technologies and energy tariffs: Case study in Spain : Case study in Spain ' , Energy Reports , vol. 6 , pp. 220-225 . https://doi.org/10.1016/j.egyr.2020.11.1122352-4847researchoutputwizard: 11556/1048Publisher Copyright: © 2020 The AuthorsDynamic energy tariffs facilitate engaging domestic consumers on demand management, contributing to grid’s stability, but requires of informed decision enabling tools. This paper presents a domestic heating costs calculation method for different heating technologies (gas boiler, heat-pumps) and a range of energy tariffs. Based on physical modeling, effect of outdoor temperature in the COP of heat-pumps is assessed. The methodology is applied to the 2018/19 heating season in Madrid (Spain), calculating the heating costs under four diverse energy tariffs (static gas tariff, static electricity tariff, real-time-price electricity tariff, dynamic time-of-use electricity tariff) for a typical home demand. The hourly results for two representative days are detailed, along with the aggregated results for the whole season. Along the season, the continuous changes in energy wholesale market prices and weather conditions make one heating technology and/or tariff more convenient each time. For the whole season, the dynamic time-of-use tariff considered would imply heating costs up to 40% lower than the static gas tariff. The results are strongly conditioned by climate conditions and national energy market evolutions. Day-ahead information on the actual heating costs might lead to domestic end-users to adapt their behavior and consumption patterns for more cost-effective use of the energy.6796333enginfo:eu-repo/semantics/openAccessjournal article10.1016/j.egyr.2020.11.112Consumer empowermentDemand managementDynamic tariffsHeating costsConsumer empowermentDemand managementDynamic tariffsHeating costsGeneral EnergyProject IDinfo:eu-repo/grantAgreement/EC/H2020/768614/EU/Integrating Real-Intelligence in Energy Management Systems enabling Holistic Demand Response Optimization in Buildings and Districts/HOLISDERinfo:eu-repo/grantAgreement/EC/H2020/768614/EU/Integrating Real-Intelligence in Energy Management Systems enabling Holistic Demand Response Optimization in Buildings and Districts/HOLISDERFunding InfoResearch leading to these results has been supported by HOLISDER project. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 768614. This paper reflects only the authors’ views and the Commission is not responsible for any use that may be made of the information contained therein.Research leading to these results has been supported by HOLISDER project. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 768614. This paper reflects only the authors’ views and the Commission is not responsible for any use that may be made of the information contained therein.http://www.scopus.com/inward/record.url?scp=85098151634&partnerID=8YFLogxK