431 research outputs found
Energy-aware coordination of machine scheduling and support device recharging in production systems
Electricity generation from renewable energy sources is crucial for achieving climate targets, including greenhouse gas neutrality. Germany has made significant progress in increasing renewable energy generation. However, feed-in management actions have led to losses of renewable electricity in the past years, primarily from wind energy. These actions aim to maintain grid stability but result in excess renewable energy that goes unused. The lost electricity could have powered a multitude of households and saved CO2 emissions. Moreover, feed-in management actions incurred compensation claims of around 807 million Euros in 2021. Wind-abundant regions like Schleswig-Holstein are particularly affected by these actions, resulting in substantial losses of renewable electricity production. Expanding the power grid infrastructure is a costly and time-consuming solution to avoid feed-in management actions. An alternative approach is to increase local electricity consumption during peak renewable generation periods, which can help balance electricity supply and demand and reduce feed-in management actions. The dissertation focuses on energy-aware manufacturing decision-making, exploring ways to counteract feed-in management actions by increasing local industrial consumption during renewable generation peaks. The research proposes to guide production management decisions, synchronizing a company's energy consumption profile with renewable energy availability for more environmentally friendly production and improved grid stability
モンゴル国ウランバートル市の持続的廃棄物管理の改善のためのLCAと多基準意思決定分析
In last years, as the lifestyle and socio-economic situation of the citizens is changing, in this regards amount of the municipal waste and type of waste are also increasing in the Ulaanbaatar city. This research analyzed each of the four waste disposal methods, to develop and select the waste management best option. To estimates economic efficiency Life cycle cost analysis methods based on the municipal waste disposal budget data; used tool a Cost-benefit analysis of each scenario explores opportunities to increase waste revenues and reduce annual costs. Also analyzes Life cycle impact assessment for each waste treatment option and includes a Life cycle assessment that considers direct and indirect GHG emissions during landfilling, waste incineration, composting, recycling, or energy consumption from waste treatment in Ulaanbaatar city. This research was conducted based on the Multi criteria decision analysis method for evaluating the performance of each scenario considered hereafter as well as interviews with experts. These interviews were used to identify key ideas related to waste management. These issues have been considered using Technique for order preference by similarity to ideal solution analysis to determine the potential impacts of environmental, economic, technical, and social factors, which were analyzed for each waste disposal method to develop and select the best option. As the result, MBT plant has not been advantageous considering all criteria. However, waste incineration is the most cost-effective option in Ulaanbaatar city in terms of saving coal resources and reducing coal production.北九州市立大
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