Data mining seems to be a promising way to tackle the problem of unpredictability in MRO organizations. The Amsterdam University of Applied Sciences therefore cooperated with the aviation industry for a two-year applied research project exploring the possibilities of data mining in this area. Researchers studied more than 25 cases at eight different MRO enterprises, applying a CRISP-DM methodology as a structural guideline throughout the project. They explored, prepared and combined MRO data, flight data and external data, and used statistical and machine learning methods to visualize, analyse and predict maintenance. They also used the individual case studies to make predictions about the duration and costs of planned maintenance tasks, turnaround time and useful life of parts. Challenges presented by the case studies included time-consuming data preparation, access restrictions to external data-sources and the still-limited data science skills in companies. Recommendations were made in terms of ways to implement data mining – and ways to overcome the related challenges – in MRO. Overall, the research project has delivered promising proofs of concept and pilot implementations
MULTIFILE
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 sustainable energy transition asks for new and innovative solutions in the way society, government, energy market and clients (end users) approach energy distribution and consumption. The energy transition provides great opportunity to develop innovative solutions where in the dense built environment district heating and cooling are being strongly advocated.Traditionally, the energy systems in urban districts have been regulated by a top-down approach. With the rise of local and distributed sustainable sources for urban heating and cooling, the complexity of the heat/cold chain is increasing. Therefore, an organic and bottom-up approach is being requested, where the public authorities have a facilitating and/or directive role. There is a need for a new and open framework for collaboration between stakeholders. A framework that provides insight into the integral consideration of heating and cooling solutions on district level in terms of: organisation, technology and economy (OTE). This research therefore focuses on developing this integral framework towards widely supported heating and cooling solutions among district stakeholders.Through in-depth interviews, workshops and focus groups discussions, relevant stakeholders in local district heating/cooling of varying backgrounds and expertise have been consulted. This has led to two pillars in a framework. Firstly the definition of Key Success Factors and Key Performance Indicators to evaluate technical solutions in light of the respective context. Secondly, an iterative decision making process among district stakeholders where technical scenarios, respective financial business cases and market organisation are being negotiated. Fundamental proposition of the framework is the recurrent interaction between OTE factors throughout the entire decision making process. In order to constantly assure broad-based support, the underlying nature of possible barriers for collaboration are identified in a stakeholder matrix, informing a stakeholder strategy. It reveals an open insight of the interests, concerns, and barriers among all stakeholders, where solutions can be developed effectively.
