100 Examples of sentences containing the common noun "tpi turbine-performance-index"
Definition
Tpi (Turbine Performance Index) refers to a metric used to evaluate the performance of turbines, particularly in power generation and aerodynamics. It quantifies the efficiency and effectiveness of a turbine in converting energy from a fluid (like air or water) into mechanical energy. The Tpi is a crucial parameter for engineers and scientists in optimizing turbine designs and improving energy output.
Synonyms
- Turbine Efficiency Index
- Turbine Performance Ratio
- Energy Conversion Index
Antonyms
- Turbine Inefficiency Index
- Performance Degradation Index
- Energy Loss Ratio
Examples
- The engineers calculated the Tpi to assess the turbine's efficiency in the new design.
- Higher Tpi values often indicate better performance under varying operational conditions.
- It is crucial for engineers to monitor the Tpi regularly to ensure optimal turbine functionality.
- The research team published findings that showed a correlation between Tpi and energy output.
- To improve the Tpi, the design team implemented aerodynamic enhancements.
- The Tpi reflects the turbine's ability to operate efficiently in different environments.
- Engineers analyzed the Tpi data to identify potential improvements.
- A decrease in Tpi suggests a need for maintenance or design reevaluation.
- The Tpi serves as a benchmark for comparing different turbine models.
- It is essential to understand how Tpi affects overall system performance.
- The company prioritized projects that would enhance the Tpi of their turbines.
- The Tpi can vary significantly depending on the turbine's operational parameters.
- Researchers discovered a new method to improve the Tpi through advanced materials.
- The Tpi is influenced by factors such as blade design and fluid dynamics.
- Engineers debated the merits of different designs based on Tpi measurements.
- The latest turbine model achieved a record Tpi, outperforming its predecessors.
- To optimize the Tpi, the team conducted extensive field tests.
- The Tpi provides valuable insight into the turbine's performance capabilities.
- A high Tpi indicates effective energy conversion and minimal losses.
- The project aimed to enhance the Tpi by reducing drag on the turbine blades.
- The Tpi is calculated using a standard formula involving flow rates and power output.
- Engineers utilized simulation tools to predict Tpi under various scenarios.
- The industry standardized Tpi as a key performance metric for turbines.
- The turbine's Tpi declined after years of operation without maintenance.
- The team analyzed historical Tpi data to forecast future performance trends.
- A thorough understanding of Tpi enables engineers to make informed design decisions.
- The Tpi was highlighted in the annual performance report for the power plant.
- The new technology promised to significantly enhance the Tpi of offshore turbines.
- To achieve a higher Tpi, the engineers adjusted the pitch of the blades.
- The Tpi was verified through multiple testing phases.
- A consistent Tpi can lead to improved energy efficiency and reduced operational costs.
- The research focused on factors affecting the Tpi of wind turbines.
- The Tpi helps determine the economic viability of turbine installations.
- Engineers strived to maintain an optimal Tpi throughout the turbine's lifecycle.
- The Tpi was presented at the international conference on renewable energy.
- The project succeeded in increasing the Tpi by implementing innovative designs.
- A drop in Tpi might necessitate a review of the turbine's operational history.
- The team conducted experiments to assess the relationship between Tpi and blade shape.
- The Tpi is a crucial factor in the overall assessment of turbine performance.
- They noted a significant improvement in Tpi after upgrading the control systems.
- The Tpi revealed the turbine's performance under real-world conditions.
- Engineers compared the Tpi of their turbine with industry benchmarks.
- The report included a comprehensive analysis of the Tpi trends over the last decade.
- They sought to understand how environmental factors affect Tpi.
- The Tpi has become a key performance indicator for turbine manufacturers.
- Engineers documented Tpi measurements to ensure compliance with regulations.
- The Tpi was evaluated during the testing phase of the project.
- The research aimed to establish a new baseline for Tpi in high-efficiency turbines.
- A well-designed turbine typically achieves a high Tpi.
- The Tpi indicated that the turbine was operating below optimal levels.
- The team collaborated with experts to improve the Tpi measurement techniques.
- Maintaining a high Tpi requires regular inspections and maintenance.
- The Tpi is often used to justify investment in turbine technology advancements.
- The findings showed that Tpi can be optimized with minor adjustments.
- The turbine's performance was gauged using Tpi as a reference point.
- Engineers recommended changes to enhance the Tpi for future projects.
- The Tpi is an integral part of the turbine's performance evaluation.
- They discussed the implications of Tpi on energy production forecasts.
- The Tpi is essential for understanding the turbine's operational efficiency.
- The study identified key variables that impact the Tpi.
- A higher Tpi is often linked to technological advancements in turbine design.
- The team developed strategies to maintain a consistent Tpi throughout operations.
- The Tpi was a focal point in their annual performance review.
- Engineers strived to achieve an optimal Tpi through innovative research.
- The Tpi was analyzed in relation to environmental impacts on turbine performance.
- The project aimed to explore the limits of Tpi enhancement techniques.
- The Tpi is critical for assessing turbine viability in competitive markets.
- The team employed sophisticated modeling techniques to predict Tpi outcomes.
- The Tpi can fluctuate based on changes in operational conditions.
- Engineers focused on maximizing Tpi to increase overall plant efficiency.
- The Tpi is a valuable metric for turbine performance assessment.
- They examined Tpi trends to forecast future energy production capabilities.
- The turbine design was modified to improve its Tpi.
- The Tpi yielded insights into the turbine's mechanical limitations.
- Understanding Tpi is essential for optimizing energy conversion processes.
- The Tpi was measured during the turbine's commissioning phase.
- Engineers developed a new protocol for Tpi evaluation.
- The Tpi remains a topic of interest in turbine performance research.
- The team highlighted the importance of Tpi in their presentation.
- The Tpi indicated that a redesign was necessary for better efficiency.
- The analysis demonstrated a direct link between Tpi and operational costs.
- The Tpi was used to benchmark performance against industry standards.
- They assessed the impact of various factors on the Tpi.
- The Tpi is crucial for understanding turbine behavior under different loads.
- The research focused on enhancing the Tpi through innovative blade designs.
- Engineers investigated the role of Tpi in turbine longevity.
- The Tpi has implications for energy policy and renewable energy strategies.
- The team reported significant improvements in Tpi after system upgrades.
- The Tpi is a key indicator for turbine maintenance schedules.
- They documented changes in Tpi over the turbine's operational lifespan.
- The Tpi is often referenced in turbine performance standards.
- The study examined how Tpi affects overall system reliability.
- The Tpi was incorporated into the turbine’s performance metrics.
- Engineers sought to innovate designs that would increase Tpi.
- The Tpi helped them identify areas for improvement in turbine efficiency.
- The project aimed to establish best practices for optimizing Tpi.
- The Tpi was highlighted as a major factor in their research findings.
- They reviewed Tpi data to support their engineering decisions.
- The Tpi is essential for determining the feasibility of turbine installations.
- The turbine's performance was enhanced through the optimization of Tpi.