Energy efficieny managment in city districts, buildings, electrical cars and public lighting

In this short summary we are presenting generic framework for management of energy production/consumption systems that includes a number of different stakeholders: energy producers, energy distributors, big complex energy consumers (municipality, university campus, industrial complex), smaller private consumers and “prosumers” – electrical cars, which could be seen either as consumer or energy storage (“battery”) for electricity. In the presentation we will show prototype on the real- live data, developed in the NRG4Cast project. Presented framework deals with various needs and specifics of wide range of energy stakeholders: from energy distributors, public entities such as municipalities, various types of consumers – from big industrial consumers (like factories) to private residents. At JSI we had the opportunity to be involved in various parts in energy supply and distribution chains during our involvement in sveral of EU projects: NRG4Cast, SunSeed and ProaSense. They include also different industrial partners from Slovenia: Telekom Slovenija, Elektro Primorska, Elektroservisi, Hella and Envigence. Production, sale, distribution and final consumption of energy are obvious steps in the circuit of energy management and each and every step exposes opportunities for implementation of energy efficiency procedures. In the contribution we will show the possibilities of implementation for energy efficiency in the each of the above mentioned steps – with linkage to a concrete examples, taken from our practice. With the development and implementation of analytically advanced solution one can encounter a number of different challenges: from technical and business perspective. In the presentation we will show some of the main challenges and appropriate solutions in different case studies, which will be backed up with preliminary results. One of the main technical challenges is ability to handle vast amounts of the data, extracted new relevant knowledge and information from the multi-modal data sources, which include sensor measurements of different phenomena (energy consumption, signal quality, weather data, energy prices), news for the world-wide web, pieces of metadata relevant for a particular type of objects (working time, schedules, energy certificate etc.). Development of the framework for different stakeholders in energy efficiency management combines information from different parts in the energy chains. Such information and data is merged and enriched in a sensible way and can offer improvement of advanced services for each stakeholder:\\ - For producer: it can yield an estimation (prediction) of power demand for different time windows and time frames.\\ - For different types of consumers: it can predict consumption for different time frames, taking into account different important features like weather.\\ - For distributors: It helps improving the current models on predicting energy prices in European energy spot markets (like EPEX). The presentation includes system architecture, which support above mentioned analysis and overcome technical challenges (data fusion, alignment). It enables us also to analyze user profiles of different consumers or prosumers:\\ - Consumption profiles of different public buildings (offices, hospitals, schools),\\ - Consumption profiles of residential buildings,\\ - Prediction and energy profiles in electric cars (or drivers) and profiles of battery charging. With new knowledge, extracted from various consumption profiles interested stakeholders can extend their set of business actions, which can be used for introduction of new measures for energy savings or simply for acquiring more precise information on their consumption, which gives them better negotiating position in the energy market, when signing or extending contracts with energy distributors. We will introduce also an interesting example of introduction of “smart” public lighting in a smaller Slovenian municipality, which resulted in a significant energy saving that can be up to 30%. In the yearly context these 30% can result in a significant money saving.