In the early days of gear manufacturing, engineers aimed to produce teeth as close to the theoretical shape as possible. As machinery advanced and demand for high-speed, high-torque, and quieter transmissions grew, optimizing gear teeth became increasingly important [1]. Techniques such as tip and root relief reduced engagement shocks, while lead modifications like lead slope and crowning increased load-carrying capacity. Gas turbines are complex, high-load machines that require the use of suitable gearboxes with highly reliable components. The importance of this reliability cannot be overstated, as any downtime can result in significant financial repercussions. By implementing the right modifications, it is possible to reduce the causes of failure and improve the overall performance of the gearboxes, leading to more efficient and cost-effective operations. The primary focus of this thesis is to explore the use of various modification methods to achieve the most optimal load distribution across the face width of a double helical gear. This is accomplished through the use of FVA workbench and analytical calculations, allowing for a thorough and comprehensive analysis of these modifications. / Ingenjörer när växeltillverkning var i sin linda, hade som avsikt att producera kuggar så nära dess teoretiska form som möjligt. I takt med att maskiner utvecklades ökade proportionell efterfrågan på transmissioner med hög hastighet och vridmoment med tystare drift, sedan dess har optimeringen av kuggarna fått grepp. Profilmodifieringar som topp- och fotavlättning minskade ingreppsstötar, på engelska ”lead modification”, ”lead slope” och ”crowning” ökade lastkapaciteten. Gasturbiner är höglastade maskiner som kräver behov av lämplig växellåda med behov av mycket pålitliga komponenter för att minska och eventuellt undvika stillestånd då antalet maskiner är många och det kommer att kosta mycket i sådana fall. Om det görs rätt kan modifieringar minska orsakerna till fel och förbättra växellådornas prestanda. Denna avhandling behandlar användningen av dessa modifieringsmetoder för att erhålla den mest optimala lastfördelningen över kuggflanken på en snedkuggsväxel, vilket görs med FVA-Workbench och analytiska beräkningar.

The Swedish energy markets inspectorate (Ei) regulates the Swedish DSOs revenue cap, to ensure reasonable prices, efficiency, and quality of supply towards the end users. In combination with directives from the European Union and Sweden's environmental goal, Ei implemented efficient grid utilization to the DSOs revenue cap in 2016. The efficient grid utilization can be divided into two incentives: load flow and network losses. Criticism regarding the load flow incentive, and the indicator used to calculate it, has been raised from the industry. The purpose of this degree project was to investigate the possibilities of a new indicator that also could be affected by the DSOs actions. The project identified four main indicators to test, weighted load factor, utilization factor, adjusted utilization factor and a utilization factor that incorporates all local production units. The indicators were calculated with data from a regional and local grid, provided by the Swedish DSO Ellevio. Other parameter changes such as peaks and seasonal based calculations were also tested. To see the impact DSOs could have on the indicator, with today's regulations, was detected to be through load shaving and shifting, demand side management (DSM). MATLAB was used to test the impact DSM had on the indicators. Further, a load prediction for the years 2023–2035, based on provided historical data, was executed to test the indicators long-term outcome. The project concluded that the regional grid had little to non-impact on the indicators with DSM whilst the local grid resulted in high increased outcome for most indicators. The project continues to conclude to separate indicators for the regional and local grid, to better represent the two grids characteristic and purpose in Swedish society. The adjusted utilization factor was proposed for the regional grid, due to its non-negative impact from installing renewable energy resources, and the weighted load factor for the local grid due to being highly affected by DSM. Lastly, the project concluded that the indicator needs to be changed and further developed for regional DSOs, for them to have the opportunity to affect it.