Installing photovoltaic panels (PV) on household rooftops can significantly contribute to mitigating anthropogenic climate change. The mitigation potential will be much higher when households would use PVs in a sustainable way, that is, if they match their electricity demand to their PVs electricity production, as to avoid using electricity from the grid. Whilst some have argued that owning PVs motivate households to use their PV in a sustainable way, others have argued that owning a PV does not result in load shifting, or that PV owners may even use more energy when their PV production is low. This paper addresses this critical issue, by examining to what extent PV owners are likely to shift their electricity demand to reduce the use of electricity from the grid. Extending previous studies, we analyse actual high frequency electricity use from the grid using smart meter data of households with and without PVs. Specifically, we employ generalized additive models to examine whether hourly net electricity use (i.e., the difference between electricity consumed from the grid and supplied back to the grid) of households with PVs is not only lower during times when PV production is high, but also when PV production low, compared to households without PVs. Results indicate that during times when PV production is high, net electricity use of households with PV is negative, suggesting they sent back excess electricity to the power grid. However, we found no difference in net electricity use during times when PV production is low. This suggests that installing PV does not promote sustainable PV use, and that the mitigation potential of PV installment can be enhanced by encouraging sustainable PV use
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This OP was deployed in two phases, focusing on Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G). Its first phase took place at a private residence in Loughborough and ran from March 2017 up to December 2017. This phase 1 is also referred to as the ‘Loughborough pilot’. The second phase took place from February 2020 until present at a comparable residence in Burton-upon-Trent, thereafter, referred to as the ‘Burton pilot’ or ‘phase 2’. Both pilots included bi-directional chargers, Electric Vehicles (EV), Battery Static Storage (BSS) and rooftop solar PhotoVoltaic panels (PV).The main goals of this pilot were to demonstrate the added value of V2H and V2G of using additional energy storage and PV in households.Challenges encountered in the project include interoperability issues, particularly in phase 1, and the unforeseen development of the homeowner selling his house, meaning a new location needed to be found. However, this challenge ultimately provided an excellent opportunity to implement lessons for interoperability and to act upon the recommendations from the intermediate analysis of the Loughborough pilot. This report is mainly focussed on phase 1 (Loughborough), and additional analysis for Burton-upon-Trent (phase 2) can be found in the appendix.
The rapid implementation of large scale floating solar panels has consequences to water quality and local ecosystems. Environmental impacts depend on the dimensions, design and proportions of the system in relation to the size of the surface water, as well as the characteristics of the water system (currents, tidal effects) and climatic conditions. There is often no time (and budget) for thorough research into these effects on ecology and water quality. A few studies have addressed the potential impacts of floating solar panels, but often rely on models without validation with in situ data. In this work, water quality sensors continuously monitored key water quality parameters at two different locations: (i) underneath a floating solar park; (ii) at a reference location positioned in open water. An underwater drone was used to obtain vertical profiles of water quality and to collect underwater images. The results showed little differences in the measured key water quality parameters below the solar panels. The temperature at the upper layers of water was lower under the solar panels, and there were less detected temperature fluctuations. A biofouling layer on the floating structure was visible in the underwater images a few months after the construction of the park
Grid congestion has caused significant issues for many businesses and consumers, leading to pressing questions about potential expansion, the configuration of electrical infrastructure, opportunities to reduce energy usage, and the impacts of installing photovoltaic (PV) systems. This project is dedicated to developing a digital twin energy management system within an energy hub to enhance efficiency and sustainability. By integrating state-of-the-art digital twin technology with various energy systems, the project, led technically by HAN University of Applied Sciences and with security managed by Impact Iot Solutions, aims to optimize the management of diverse energy sources like solar panels, heat pumps, and storage systems. Central to our approach is ensuring that all data collected during the project, which includes system performance metrics but excludes any personal user information, is used responsibly and stored securely. Local storage at the energy hub allows real-time monitoring and data analysis, with secure remote access for project partners to facilitate collaboration. At the project's conclusion, non-sensitive data will be made publicly available on an open platform, promoting transparency and enabling further research and development by the broader community. This initiative not only seeks to improve energy management practices but also aims to serve as a model for future digital twin implementations in energy hubs worldwide. By focusing on innovation, privacy, and community engagement, the project represents a significant step forward in the integration of digital technologies into sustainable energy solutions.
