Flexibility and energy efficiency in buildings with PV and EV charging
In this project, different measures will be evaluated to see how they can contribute to increased flexibility and better utilization of decentralized solar PV generation. This idea is based on two previous projects where the combination of solar PV and battery storage has been studied from a residential building’s perspective, with the aim of increasing the utilization of the PV energy and reduce the losses in the building, by using storage and demand side management.
Read more about the project "Flexibility and energy efficiency in buildings with PV and EV charging"
Activity-based urban building and mobility energy modeling for planning of future cities
In order to achieve goals for energy efficiency and reduced greenhouse gas emissions, cities around the world must change their local use and supply of energy. This requires studies of the effects of different urban designs, policy measures and the spread of new technology on the energy performance of entire cities. This project constructs a digital city model that can be used to calculate and visualize energy and power needs as well as greenhouse gas emissions from buildings and transportation at the city level.
Read more abut the project "Activity-based urban building and mobility energy modeling for planning of future cities" at the Viable Cities web page
Life-cycle energy optimization of new and retrofitting buildings
Recent studies depict that with respect to the entire life cycle, low-energy buildings do not necessarily outperform the conventional ones and can paradoxically result in an increased energy use. One reason for that is use of new building materials which can eventually require a significant amount of “embodied energy” to manufacture them despite their potential to minimize the operational energy use. The main purpose of this project is to develop and test optimization methods that consider the trade-off between embodied and operational energy and favorably minimize the building's energy use from a life cycle perspective.
Read more about the project "Life-cycle energy optimization of new and retrofitting building"
Computer-driven optimizations for improving sustainability performance of buildings
Today, computer-driven optimizations are increasingly used in other sectors (e.g. aerospace) to make more sustainable decisions during design. However, their use is still limited in the building sector. The purpose of this project is to develop practical methods based on computer-driven optimizations and test them in several case studies to provide knowledge on how these methods can support sustainable decisions.
Read more about the project "Computer-driven optimizations for improving sustainability performance of buildings"
Advanced statistical methods for determining the hosting capacity of medium and low voltage networks
Grid integration of new building-related technologies such as PV systems, electric vehicles, batteries, and home energy management systems requires improved spatio-temporal models. In this project, statistical models for solar irradiance, electric vehicle charging and flexible customers are developed. The aim is to propose a methodology that accounts for the complexities involved while still being useful for practical network planning.
Read more about the project "Advanced statistical methods for determining the hosting capacity of medium and low voltage networks " at the SweGrid web
Automatic mapping of solar panels and generation of solar forecasts through aerial imagery and machine learning
This project’s goal is to evaluate whether it is possible to determine where the solar systems in Sweden physically are installed, their power and orientation through a system using aerial imagery or satellite images and an image analysis method that uses machine learning. Both existing and new methods, developed within the project, are evaluated in a Swedish context. An important development is that the method should be able to estimate the power, slope and azimuth of solar systems satisfactorily.
Read more about the project "Automatic mapping of solar panels and generation of solar forecasts through aerial imagery and machine learning"
Solar cells on trucks for environmental friendly transports
One of the biggest challenges today is to reduce CO2 emissions from fossil fuels to reduce the climate impact, and in Sweden a large part of the fossil fuels is used to drive transport. The goal of this project is to develop new systems with modern photovoltaic (PV) systems and batteries on trucks to reduce carbon dioxide emissions from transport. The project is lead by Ångström Chemistry, but several industrial partners are engaged. Our division contributes by studying the implications if a large share of the trucks are equipped with PV and batteries and connected to the grid. Project member from the Division is David Lingfors.
Read more about the project "Solar cells on trucks for environmental friendly transports" on Department of Chemistry´s web
Pro.Per.Her – Prosumers Perspectives in Heritage districts
The purpose of this project is to develop, test and evaluate a method how potential prosumers, living and/or working in culturally valuable environments, are motivated and given opportunities to integrate solar cells. The project will use participatory design methods, building integrated energy thinking, methods for assessing cultural values and energysystem technology in two pilot case studies.
Read more about Pro.Per.Her
Smart charging strategies and optimal PV-EV sizing to increase the combined PV-EV hosting capacity in the distribution grid
The project will be a continuation of Reza Fachrizal’s PhD project research up to now, in which EV smart charging models for a single residential building and a community has been produced, and its impact on the residential LV distribution grid performance and hosting capacity has been assessed. As a continuation, the proposed project will also be extended for workplace charging stations in cities and its impact in the city grid will also be evaluated. The project also aims to collect actual EV charging data from existing EV charging stations (EVCS) operators to validate the commonly used EV charging models.
Read more about "Smart charging strategies and optimal PV-EV sizing to increase the combined PV-EV hosting capacity in the distribution grid"
Solar utilization plans for system and resource effective deployment of photovoltaic systems
Many photovoltaic systems are connected to local electricity distribution networks. An important question is where the systems should be placed and connected for maximum resource and system efficiency. In this project, a method is developed for establishing so-called solar utilization plans by combining solar cadastres with geographical data for various relevant parameters. A case study for Herrljunga municipality shows that a well-planned connection of solar parks is of crucial importance for the utilization of existing infrastructure.
Read more about "Solar utilization plans for system and resource effective deployment of photovoltaic systems"
District heating in sustainable future residential areas
The project District Heating in sustainable future residential areas shows what role district heating can play in future residential areas, both based on a resource efficiency perspective and regarding global carbon dioxide emissions. In particular, the project examines the combination of district heating and electricity production through solar cells. The project also highlights the importance of using the right and defined concepts to assess energy and climate performance.
Read more about "District heating in sustainable future residential areas" (in Swedish)
Probabilistic Forecasting for Battery Managment
The purpose of this research project led by RISE is to investigate the conditions for how household batteries should be sized and managed for best usage. The aim is to deepen the knowledge for local storage; how it shall be dispatched and what external services it can provide to the grid. Load profiles from single-family houses are clustered and a PV/battery system is then fitted for each cluster profile. Battery dispatch algorithm is based on artificial intelligence models (AI) for probabilistic prognostication of electrical loads and solar PV generation for optimal battery dispatch.
Read more about "Probabilistic Forecasting for Battery Managment"