Local energy communities require tools to select their most fitting community members, power-sharing strategy and technologies for goals. This work aims develop a model methodology optimise local communities. We evaluate the presence of battery storage system with different capacities ownership options. Besides, we test two sharing strategies like static variable coefficients. Finally, characterise communities' demand by comparing residential commercial loads varying number consumption...

This study explores the complexities surrounding adoption of decentralised Renewable Energy Technologies in Spain, crucial for transitioning towards a renewable energy-driven economy. Through systematic review both scientific and grey literature, key factors influencing were identified. Utilising Analytic Network Process method, this research highlights political will, technological maturity, fiscal incentives as primary drivers. These findings underscore importance mature technologies...

This study develops a methodology to characterise and forecast large consumers' electricity demand, particularly municipalities, with hundreds of different metered supply points based on the previous characterisation facilities' consumption. Demand forecasting allows consumers improve their participation in markets manage The method considers classification by types combined artificial neural networks obtain hourly forecasts using well-known parameters such as day types, temperature, last...

A transition to a sustainable energy system is essential. In this context, smart grids represent the future of power systems for efficiently integrating renewable sources and active consumer participation. Recently, different studies were performed that defined conceptual architecture their agents. However, these architectures do not overcome all issues development new electricity markets. Thus, novel proposed. The transactions energy, operation services, economic flows among agents proposed...

The adoption of distributed energy resources such as PV cells, electric vehicles and batteries in grids is increasing steadily. This brings new challenges for distribution networks. current network tariffs were not designed these types usage and, many cases, they are adequate anymore. Thus, tariff frameworks have been proposed. In this paper, we focus on the question how to assess whether a given framework fulfills its objectives. We propose use quantitative indicators performance...

Future power systems, in which generation will come almost entirely from variable Renewable Energy Sources (vRES), be characterized by weather-driven supply and flexible demand. In a simulation of the future Dutch system, we analyze whether there are sufficient incentives for market-driven investors to provide level security supply, considering profit-seeking myopic behavior investors. We co-simulate two agent-based models (ABM), one expansion operational time scale. The results suggest that...

Residential consumers are moving to the center of electricity systems and their flexibility is seen as a key resource integrate renewable energy sources support grid. However, residential capacities not homogeneous, they depend on household appliances, comfort patterns, occupancy, climate conditions. Here, we calculate technical 45 consumer types in mainland Spain, organised according income regional criteria. We show that gaps exist at both socioeconomic (income) levels with differences up...

The transport sector is answerable for around a quarter of the global CO2 emissions sent into atmosphere, and 50% greenhouse gases in cities. Considering staggered introduction renewable sources electricity mix, electric vehicles (EVs) urban network arises as necessary environmental solution. However, their integration facing wide range barriers, many them only qualitatively known, or uncertain. This paper presents multicriteria methodology to assess such obstacles electrification...

The European Union advocates for legislative support to local energy communities. Measures include the promotion of dynamic allocation and discriminatory electricity tariffs such as recent Spanish framework. However, impact these normative changes is not yet evaluated. This paper inquires into coefficient different on profitability To do so, a linear optimisation model developed applied real consumer data in Spain around variable capacity photovoltaic generation plant. Comparing economic...

Cities consume two-thirds of the energy supply, and 70% carbon dioxide equivalent emissions come from urban environments. Positive Energy Districts are innovative tools to achieve climate neutrality in cities. regions or neighbourhoods with a positive annual balance, obtained mainly through efficiency generation renewables. Urban Waterfronts extended areas close sea, which makes them suitable for several types production renewables, therefore seeming be location develop Districts. This paper...

Gender studies have highlighted how policies and actions that are not drafted planned with a gender perspective tend to produce bias. Climate an exception. Measures mitigate adapt cities climate change might lead undesired outcomes regarding equality or, in contrast, may help improve equality. Ideally, should prioritise aim reduce their carbon footprint but also promote The is facilitate the inclusion of 100 Climate-Neutral Smart Cities by 2030 European Mission. We propose Multicriteria...

Integration of renewable energy sources require an increase in the flexibility power systems. Demand response is a valuable flexible resource that not currently being fully exploited. Small and medium industrial consumers can deliver wide range underused resources associated with electricity consumption their production processes. Flexible should compete liberalized operation markets to ensure reliability system at minimum cost. This paper presents new tool assist demand participate optimize...

This research aims to diagnose the energy performance of buildings in València and identify areas where efficiency can be improved. The results all 129,487 EPCs city were mapped compared socioeconomic variables gain insights into reasons behind results. study reveals that city's building stock has poor performance, attributed lack standards during expansion 1960s 1970s. worst performances are observed peripheral districts, particularly northern half, low-income low-renting rates common,...