Design of a Methodology to Evaluate the Energy Flexibility of Residential Consumers to Enhance Household Demand Side Management: The Case of a Spanish Municipal Network
Source abstract
Abstract
Climate change and global warming are causing growing environmental concerns, prompting many countries to increase investments in renewable energies. The high growth rate of renewables in the energy systems brings significant intermittency challenges. Demand-side flexibility is presented as a viable solution to address this phenomenon. In this framework, this research study proposes a novel methodology to evaluate the flexibility potential that residential consumers can offer to the Distribution System Operator (DSO). Moreover, it pretends to provide guidelines and design of standardized parameters to disaggregate the aggregated energy consumption data of end-users. This step is essential to identify and characterize the primary energy consumption processes in the residential sector, laying the groundwork for future flexibility evaluation. Furthermore, the modeling of the energy consumption curves will enhance residential sector demand-side flexibility enabling end-users to modify their usual consumption patterns. The implemented methodology has been applied to real consumer data provided by the DSO of a Spanish municipality of about 29,000 habitants in the Alicante Province (Spain). Results achieved allowed the validation of the proposed methodology enabling the disaggregation of residential energy profiles and facilitating the subsequent dynamic assessment of residential end-user’s demand flexibility. Moreover, this work will provide valuable guidelines to carry out short-term energy resource planning and solve operational problems of the energy systems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Grid Energy Management · Energy Efficiency and Management · Building Energy and Comfort Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Facoltà di Ingegneria, Politecnico di Torino, Via Duca degli Abruzzi, 24, 10129 Turin, Italy
Institute for Energy Engineering, Universitat Politècnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Funding
European Union
References (45)
Show source-provided references
1. European Commission (2019). Directorate-General for Climate Action, Going Climate-Neutral by 2050—A Strategic Long-Term Vision for a Prosperous, Modern, Competitive and Climate-Neutral EU Economy, Publications Office.
2. Vargas-Salgado, C., Borràs, I.M., Alcazar-Ortega, M., and Montuori, L. (2020, January 4–6). Floating PV Solar-Powered Systems: Design applied to an irrigators community in the Valencia Region—Spain. Proceedings of the 2020 Global Congress on Electrical Engineering (GC-ElecEng), Valencia, Spain.10.23919/GC-ElecEng48342.2020.9286279 ↗
3. Climate change concern, personal responsibility and actions related to climate change mitigation in EU countries: Cross-cultural analysis10.1016/j.jclepro.2020.125189 ↗
4. Integration of renewable energy in microgrids coordinated with demand response resources: Economic evaluation of a biomass gasification plant by Homer Simulator10.1016/j.apenergy.2014.06.075 ↗
5. Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation10.1016/j.ijepes.2021.107714 ↗
6. Impact of thermal storage capacity, electricity and emission certificate costs on the optimal operation of an industrial energy system10.1016/j.enconman.2019.02.014 ↗
7. Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm10.1109/ACCESS.2020.2970478 ↗
8. Demand response strategies for the balancing of natural gas systems: Application to a local network located in The Marches (Italy)10.1016/j.energy.2021.120293 ↗
9. Industrial demand-side flexibility: A key element of a just energy transition and industrial development10.1016/j.apenergy.2020.115026 ↗
10. Acer (2025, March 24). Demand Response and Other Distributed Energy Resources: What Barriers Are Holding Them Back?. 2023 Market Monitoring Report., Available online: www.acer.europa.eu.
11. Impacts of home energy management systems on electricity consumption10.1016/j.apenergy.2021.117310 ↗
12. Residential Demand Flexibility: Modeling Occupant Behavior using Sociodemographic Predictors10.1016/j.enbuild.2022.111973 ↗
13. Robust Optimization of the Flexibility-constrained Energy Management Problem for a Smart Home with Rooftop Photovoltaic and an Energy Storage10.1016/j.est.2021.102358 ↗
14. Predicting the demand flexibility of wet appliances at national level: The case of France10.1016/j.enbuild.2020.109900 ↗
15. Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium10.1016/j.apenergy.2015.05.101 ↗
16. Load profiles and flexibility in operation of washing machines and dishwashers in Europe10.1111/ijcs.12325 ↗
17. Lightening the load: Quantifying the potential for energy-efficient lighting to reduce peaks in electricity demand10.1007/s12053-020-09870-8 ↗
18. Demand-side flexibility and demand-side bidding for flexible loads in air-conditioned buildings10.1016/j.apenergy.2020.116418 ↗
19. Electric water heater flexibility potential and activation impact in system operator perspective—Norwegian scenario case study10.1016/j.energy.2021.121490 ↗
20. Hoyne, S., Breen, M., Campbell, A., Miraglia, E., and Hurley, J. (2024). Decarbonisation of Residential Heating and Cooling: The Heat Pump Challenge, Publications Office of the European Union.
21. Widera, B. (2024). Energy and Carbon Savings in European Households Resulting from Behavioral Changes. Energies, 17.10.3390/en17163888 ↗
22. Demand Side Management by controlling refrigerators and its effects on consumers10.1016/j.enconman.2012.05.012 ↗
23. Alsharif, A., Ahmed, A.A., Khaleel, M.M., Alarga, A.S.D., Jomah, O.S.M., and Imbayah, I. (2023, January 21–23). Comprehensive State-of-the-Art of Vehicle-To-Grid Technology. Proceedings of the IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), Benghazi, Libya.10.1109/MI-STA57575.2023.10169116 ↗
24. Aggregated demand-side energy flexibility: A comprehensive review on characterization, forecasting and market prospects10.1016/j.egyr.2022.07.038 ↗
25. Raineri, R. (2025). Power Shift: Decarbonization and the New Dynamics of Energy Markets. Energies, 18.10.20944/preprints202501.0152.v1 ↗
26. ENEFIRST (2019). Using Time-of-Use tariffs to Engage Customers and Benefits the Power System, European Union.
27. Amissah, J., Abdel-Rahim, O., Mansour, D.E.A., Bajaj, M., Zaitsev, I., and Abdelkader, S. (2024). Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants. Sci. Rep., 14.10.1038/s41598-024-63668-7 ↗
28. Demand Flexibility of Residential Buildings: Definitions, Flexible Loads, and Quantification Methods10.1016/j.eng.2022.01.010 ↗
29. CFD Analysis of a Latent Thermal Storage System (PCM) for Integration with an Air-Water Heat Pump10.1155/2024/6632582 ↗
30. Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications10.1016/j.adapen.2021.100054 ↗
31. Rieseberg, S., and Anderson, L. (2016). Community-Based Renewable Energy Models Analysis of Existing Participation Models and Best Practices for Community-Based Renewable Energy Deployment in Germany and Internationally Facilitator, Federal Ministry for Economic Affairs and Energy of Germany.
32. Shahzad, S., and Jasińsk, E. (2024). Renewable Revolution: A Review of Strategic Flexibility in Future Power Systems. Sustainability, 16.10.3390/su16135454 ↗
33. Tasiopoulos, L., and Ktena, A. (2022, January 7–10). A case study of the effect of increased renewable energy sources penetration and electricity market liberalization on retail electricity prices for households. Proceedings of the 11th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro.10.1109/MECO55406.2022.9797127 ↗
34. Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids10.1016/j.rser.2020.110248 ↗
35. AI and IoT for Energy Optimization10.38124/ijisrt/IJISRT24AUG1401 ↗
36. Naccarelli, R., Serroni, S., Casaccia, S., Revel, G.-M., Gutiérrez, S., and Arnone, D. (2024, January 25–28). Metodological Approach for Optimizing Demand Response in Building Energy Management through AI-Enhanced Comfort-Based Flexibility Models. Proceedings of the 9th International Conference on Smart and Sustainable Technologies (SpliTech), Bol and Split, Croatia.10.23919/SpliTech61897.2024.10612382 ↗
37. Intelligent categorization and interactive mechanism for smart demand side management of residential consumers10.1016/j.segan.2023.101255 ↗
38. Kubernetes and IoT-based next-generation scalable energy management framework for residential clusters10.1016/j.jobe.2025.112292 ↗
39. Fog-Based Hierarchical Coordination of Reidential Aggregators and Household Demand Response with Power Distribution Grids—Part II: Data Transmission Architecture and Case Studies10.1109/TPWRS.2024.3392018 ↗
40. Javaid, N., Ahmed, F., Ullah, I., Abid, S., Abdul, W., Alamri, A., and Almogren, A. (2017). Towards Cost and Comfort Based Hybrid Optimization for Residential Load Scheduling in a Smart Grid. Energies, 10.10.3390/en10101546 ↗
41. de España, R.E. (2025, March 10). Consulta los Perfiles de Consumo (TBD), Redeia. Available online: https://www.ree.es/es/clientes/generador/gestion-medidas-electricas/consulta-perfiles-de-consumo.
42. Instituto para la Diversificación y Ahorro de la Energía (IDAE) (2025, March 10). Consumo Por Usos Del Sector Residencial, IDEA. Available online: https://informesweb.idae.es/consumo-usos-residencial/informe.php.
43. Modeling and analysis of the electricity consumption profile of the residential sector in Spain10.1016/j.enbuild.2019.109629 ↗
44. de Estadística, I.N. (2025, March 11). Encuesta de Empleo Del Tiempo, INE. Available online: https://www.ine.es/prensa/eet_prensa.htm.
45. Carnero, P., and Calatayud, P. (2021). A parametric analysis for short-term residential electrification with electric water tanks. The case of Spain. Sustainability, 13.10.3390/su132112070 ↗