What If Solar String Monitoring Was An Affordable, Temporary Solution?
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Historically, string monitoring is too expensive. But what if you had a temporary solution that analyzed PV site data a few times a year at a fraction of the cost? Ultimately, you'd have the data you needed to find issues behind underperformance. Learn more at http://www.affinityenergy.com/freelance-string-monitoring-case-study/
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4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Low power architecture of logic gates using adiabatic techniques
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
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What If Solar String Monitoring Was An Affordable, Temporary Solution?
- 1. What If String Monitoring Was An Affordable, Temporary Solution?
- 2. Historical Problem of String Monitoring • It’s too expensive • Day to day monitoring not particularly valuable…but periodic checkups make sense • The real cost are the underperforming strings you don’t know about…
- 3. To compensate for lack of detailed string monitoring, owners look to: – Zone monitoring at inverter inputs • Problem: Lacks detail – Commissioning reports • Problem: Just 1 point in time
- 4. Temporary string monitoring analyzes site data a few times a year, at a fraction of the cost. The goal? Find issues behind underperformance.
- 5. Common Output Issues Found by String Monitoring • Loose/broken/melted MC4 connectors • Soiling/dirt accumulation • Module shading • Blown fuses • Cracked cells • Terrain effects
- 6. Cost of ONE Problem Per String • $330/month per MW • Over 20-year lifecycle: $80,000/MW
- 7. HOW SOLAR STRING ANALYSIS WORKS
- 8. Engineers set up temporary hardware next to combiner box (non contact).
- 9. Split core current transformers (CT) measure current of each string, and are installed without taking the site offline.
- 10. Data collected in five minute intervals for at least one clear sky day.
- 11. CTs moved to collect data from each plant combiner box.
- 12. Combiner box data inputs normalized and analyzed to calculate impact to energy.
- 13. Report provided to owner outlining underperformance components with likely causes.
- 14. GOALS OF SOLAR STRING ANALYSIS
- 15. Calculate deep dive analysis on energy lost from underperforming strings
- 16. Provide proof for warranty claims – Module hardware – EPC labor and service
- 17. Outline specific location data and likely causes
- 18. Analyze and provide recommendations on DC health
- 19. SOLAR STRING ANALYSIS CASE STUDY
- 20. Affinity Energy’s Rooftop • 30kw • 3 inverters • 4 strings per inverter • Net-metering building electrical usage
- 21. What String Analysis Told Us • 1 string not operational – Found melted MC4 connector – Cost us $60/mo for 18 months • 3 inverters affected by shading • Repairs helped increase energy yield by 8%
- 22. We want to help owners make critical decisions about maintenance to achieve optimal financial fitness and ensure long term plant viability. Ultimately…
- 23. NEED A SOLAR STRING ANALYSIS QUOTE? Adam Baker – Solar Specialist abaker@affinityenergy.com 704-766-2060 x135