Browsing by Keyword "Demand response"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Engaging domestic users on demand response for heating cost reduction with a recommendation tool: Case study in Belgrade: Case study in Belgrade(2022-06) Eguiarte, O.; de Agustín-Camacho, P.; Garrido-Marijuan, A.; Vukovic, M.; del Portillo, L.; Romero-Amorrortu, A.; EDIFICACIÓN DE ENERGÍA POSITIVA; LABORATORIO DE TRANSFORMACIÓN URBANAThe European Union has established a legislative framework that aims to enable consumers and businesses to take information-based decisions to save energy and money. Additionally, the increase of Distributed Energy Resources (both on generation and consumption) requires additional efforts to maintain the reliability and stability of the electric grid and the need of flexibility from residential buildings. The present study introduces a domestic decision support tool for reducing heating costs. This app provides detailed recommendations to end-users based on the day-ahead hourly weather forecast, electric and district heating tariffs predictions, heating demand, and heating systems dynamic performance. The tool was tested in 6 dwellings of a neighborhood of Belgrade during the last months of 2021 heating season (March–May). Energetic results suggest that 40% of participants followed the given recommendations and changed their heating pattern. Additionally, survey results show that end-users found the lack of information and knowledge as the main barrier to actively participate in the energy market, also preferring to have automatic control in their heating system. Authors conclude that recommendation tools are key elements in user-engagement, but they should be supported by additional information and training.Item Exploring the role of ICT on household behavioural energy efficiency to mitigate global warming(2019-04) Bastida, Leire; Cohen, Jed J.; Kollmann, Andrea; Moya, Ana; Reichl, Johannes; ADV_INTER_PLATWith the advent of ICT in the energy system, new possibilities to inform and influence residential electricity consumption become available. We explore the potential of ICT-based interventions in households to decrease electricity usage, improve energy efficiency and thus contribute to reducing GHG (greenhouse gas) emissions from this sector. Based on a literature review on the subject, we suggest that ICT can affect some of the main behaviour-influencing factors, and discuss the causal avenues by which these effects can take hold. Our review finds that ICT-based effects on consumer behaviour can reduce household final electricity consumption by 0–5%. These and other findings from the literature are used to define parameter values, which reflect the efficacy of ICT at changing household energy usage patterns, and ultimately decreasing GHG emissions from the electricity sector. A quantitative analysis of the potential for ICT to contribute to reaching the 1.5 °C target in the context of the European Union (EU) energy sector is performed. It is found that ICT-based interventions in household energy use could contribute between 0.23% and 3.3% of the EU CO2e reduction target from the energy sector that would keep warming under 1.5 °C, corresponding to 4.5–64.7 mio. tCO2e abated per year.Item Real-Time Flexibility Market Participation of Thermostatically Controlled Loads(IEEE, 2022) Jimeno, Joseba; Ruiz, Nerea; Madina, Carlos; Gonzalez-Garrido, Amaia; Tecnalia Research & Innovation; POWER SYSTEMSThe objective of this paper is to demonstrate the feasibility of using the aggregated flexibility of thermostatically controlled loads (TCLs) to provide balancing and congestion management services to system operators through the participation in a real-time flexibility market. To this aim, a TCL aggregation model that employs a bottom-up approach based on physical end-use load models has been developed. A direct load control (DLC) scheme is considered, where the control variable is the thermostat temperature setpoint. This temperature can be manipulated between the upper and lower limits set by end-users, who receive an economic compensation in exchange for the loss of comfort. As output a set of flexibility bids to be sent to the market are obtained. To demonstrate the applicability of the proposed aggregation model and estimate the overall flexibility potential from TCLs, a large-scale case study, based on a future power system in Spain has been considered.