A team of scientists has responded to criticisms on the feasibility of 100% renewable electricity systems, finding that technical solutions exist to address concerns about grid stability and variability. The study reveals that these solutions are affordable, especially given the decreasing costs of wind and solar power.
Anne Quarshie's dissertation explores how firms can bring about transformational change in sustainability and corporate social responsibility. She is the first Finnish recipient of the IPSERA Doctoral Dissertation Award, recognizing the high quality of her research on responsible supply chains and disaster preparedness.
Researchers at Lappeenranta University of Technology found that a fully renewable electricity system in Iran could reduce costs by 50-60% compared to other emission-free energy options. The transition requires significant investments in solar, wind, and hydropower but can drive economic growth and reduce emissions.
The Lappeenranta University of Technology's new model demonstrates a functioning 100% renewable energy system for all regions, fulfilling the Paris agreement targets. The model suggests an estimated cost of 55-70 euros per megawatt-hour for the electricity sector.
A fully renewable energy system is achievable and economically viable for Russia and Central Asia by 2030, with costs comparable to European nuclear technology or carbon capture and storage. The region can expect a 20% reduction in electricity costs through integrated energy sectors.
A fully renewable energy system featuring high shares of wind and solar energy is economically feasible for Finland by 2050, producing over 166 TWh of electricity annually. The system also includes power-to-gas technology and energy storage solutions, with total annual costs estimated at around 25 billion euros.
Researchers aim to identify annoying features of wind power plants from people's experiences in Finnish climatic conditions. A real-time feedback system and statistical models will be used to model the formation and dissemination of sound.
A new survey by Lappeenranta University of Technology found that companies consider wage-related costs and a lack of competence among supervisors the biggest barriers to increasing productivity. Researchers recommend prioritizing supervisor education and creating a more supportive environment for entrepreneurship and innovation.
The new system dynamic model supports investment decision-making and optimizes production guidance in mining investments. The model has already sparked interest among international mining companies.
LUT researchers highlight the importance of understanding users' daily life needs when planning new healthcare service models. The study found that people's attitudes change slowly, but continuous changes in the operating environment can lead to exclusion from services.
The new self-learning welding system is controlled by a neural network program that tracks multiple variables, such as bevel angle, thermal profile, and weld form to detect and correct errors in real-time. This technology has the potential to bring significant savings to the welding industry by eliminating post-welding checks and repairs.
Researchers at LUT reduced welding groove angle from 45 to 30 degrees, increasing productivity and reducing additives and mistakes. The new method results in lighter, thinner, and more durable structures with improved environmental friendliness.
The study aims to establish a stable situation for nuclear power by collecting multidisciplinary data on how people define nuclear power and its role in society. The project will analyze the importance of nuclear power in each country's power production, economic impacts, and influence from different viewpoints.