:::

【2022 Application Example】 Taking advantage of green energy business opportunities, Hua Molybdenum Industry creates all-vanadium redox flow battery energy storage system equipment, the best choice for long-term energy storage

編輯群2022-11-15
6

Green energy is the future trend and will surely lead to huge business opportunities in the future. Wind power has been one of the green energy sources that have attracted global attention in recent years. It will become an important force in my country's renewable energy and help Taiwan's power generation reach the goal of 20% by 2025 to improve Taiwan's energy independence. As the number and power of domestic wind turbines (wind turbines) increases year by year, it is particularly important to ensure that the power storage equipment achieves safe, long-term performance, is not easily attenuated during charging and discharging, and is sustainable, low-carbon and environmentally friendly. At the same time, the wind turbine equipment itself Health inspection, maintenance and repair have also become the focus of wind farm operators. In order to meet the needs of wind farm customers, the green energy business unit of Hua Mo Industry has launched long-lasting energy storage all-vanadium redox flow battery electrolyte and wind turbine AI predictive operation and maintenance, providing 100% safety, long-term efficiency and reducing customer initial manufacturing costs. cost-effective power energy storage equipment, and through AI predictive operation and maintenance services to help customers reduce power generation costs by 10% and save up to 30% in maintenance and warranty costs.

Hua Molybdenum Industry was established in 1998. The industry started by refining vanadium, molybdenum and rare metal elements and other products, and used them in high-end steel, professional chemicals and specialty chemicals industries, and vanadium is more like a steel-making Vitamins can increase the effectiveness of steelmaking. Among them, vanadium and molybdenum related products are one of the company's main projects. The company sees that the all-vanadium redox flow battery, which is 100% vanadium-based, will be a very promising mainstream green energy technology in terms of long-term energy storage in the future, and before 2010 The government has actively invited legal entities such as the Industrial Research Institute to conduct research on related component materials in solid-state batteries and all-vanadium batteries. In addition, the Ministry of Economic Affairs expects renewable energy to account for 20% of power generation in 2025 and reach 1.5GW. Based on the above Considering this, Hua Molybdenum Industry decided to devote all its efforts to research and invest in the technological development of self-developed all-vanadium redox flow battery electrolyte in 2017, in order to accelerate the compliance rate of renewable energy in 2025.

Hua Molybdenum pointed out that "renewable energy power is relatively unstable, and Taiwan itself lacks lithium resources. In lithium battery manufacturing, almost 80%-90% of battery cells must rely on foreign procurement, and there is a lack of 100% domestic self-sufficient energy storage. Resources and technology. "Similarly, how does Taiwan overcome the problem of having no natural vanadium resources? To this end, Hua Molybdenum Industry uses original technology to use waste catalysts from petrochemical industries such as CNPC refineries or Taishuo petrochemical processes. Up to 10% of the vanadium ion content can be used to extract high-value vanadium resources, thereby producing Taiwan's 100% self-made all-vanadium redox flow battery electrolyte without being affected by resources, effectively achieving resource recycling. Since 2017, Hua Molybdenum Industrial has successfully created all-vanadium flow electrolyte technology, and has successfully passed product verification by the Industrial Research Institute, the Nuclear Research Institute and many international manufacturers.

Taiwan’s power storage energy target is to reach 1.5GW in 2025. Its power distribution includes 500MW in Taipower’s automatic frequency regulation system, 500MW in E-dReg and 500MW in existing or newly built solar power plants. For example, electricity consumption is mainly between 4 pm and 10 pm, which is the peak period for people's daily electricity consumption. For this reason, the Energy Administration specifically requires Taipower to strengthen the upgrade of energy storage equipment, which has also driven the market's interest in all-vanadium redox flow batteries. Energy storage system equipment is in high demand. In addition, Taiwan's current total power reserve construction and contribution has not yet reached 100MW, and the gap from the 2025 target of 1.5GW of power storage is still more than 15 times.

Using all-vanadium redox flow batteries to successfully create 100% safe, low-carbon, environmentally friendly and long-lasting energy storage system equipment

Compared with the short-term power storage of lithium batteries, the biggest advantage of all-vanadium redox flow batteries is that it is globally recognized as a long-term power reserve. It can store energy for a long time up to 12 hours, which means that if it is charged for 12 hours, It can release power for 12 hours. Compared with the electricity measurement method of general energy storage systems, which is daily electricity consumption = power (in kilowatts) x time (in hours), for all-vanadium redox flow batteries, power and hours are different. Special design, the power is also called a stack, which is composed of four materials: metal, polymer mold, carbon felt and graphite plate, and the power consumption time is calculated based on the amount of electrolyte (in cubes). Therefore, when the power (electric push) x the amount of electrolyte = the daily electricity consumption of our all-vanadium redox flow battery for energy storage.

The product features of the all-vanadium redox flow battery energy storage system equipment include four major features: safety, long-term performance, not easy to decay during charging and discharging, and sustainable, low-carbon and environmentally friendly. The quality of the all-vanadium flow battery is 100% safe. Since the electric energy is stored in the vanadium-containing electrolyte, it can avoid any flammable accidents caused by a fully charged energy storage system. In terms of battery life, compared to the short battery life of lithium batteries, all-vanadium redox flow batteries can have a battery life of more than 20-25 years through changes in price. Regarding the charge and discharge performance of energy storage, unlike lithium batteries which have a certain number of charge and discharge times (5000-600 times), there is no limit to the number of charge and discharge times of all-vanadium redox flow batteries. Regarding zero carbon emissions, which is highly valued globally, unlike lithium batteries which have recycling issues, the electrolyte of the all-vanadium redox flow battery can be used permanently. The material components of the stack are environmentally friendly and fully recyclable to create a truly sustainable and low-cost Carbon-friendly energy storage system.

Onshore wind turbine AI prediction smart operation and maintenance allows customers to reduce power generation costs by 10% and save maintenance and warranty costs by up to 30%

Hua Molybdenum Industry not only improves the long-term power storage efficiency of renewable energy customers through all-vanadium redox flow battery energy storage system equipment and helps customers reduce initial purchase costs, but also uses AI smart operation and maintenance empirical calculations for offshore and onshore wind turbines. Field demonstrations were drawn on Taipower's onshore wind farm, and we actively accumulated our own technical experience and energy in AI predictive operation and maintenance. With the support of the AI ​​HUB project of the Industrial Bureau of the Ministry of Economic Affairs, the cooperation site will focus on the Phase I wind farm of Taipower Corporation and provide smart operation data of wind turbines for more than 6 months for analysis. The AI ​​predictive operation and maintenance system for onshore wind turbines uses machine learning. The main technology provider comes from ONYX Insight, a subsidiary of British Petroleum (BP). The company uses AI Hub analysis software technology to analyze the wind turbines faced by Taipower. Pain point analysis, including power generation loss of road-based wind turbines and damage prediction of key components of land-based wind turbines (such as gearboxes, pitch bearings...) under abnormal vibration (three-dimensional vibration frequency) or abnormal temperature, etc. output. Through this implementation, it can effectively help Taipower reduce power generation costs by 10%, increase asset value by 1~2%, and save up to 30% in maintenance and warranty costs. In the past three years, ONYX Insight has successfully predicted and operated more than 20,000 offshore or onshore wind turbines around the world, accumulating extremely high AI model accuracy. It is believed that the international partnership established with ONYX Insight will effectively guide and accelerate the green energy division of Hua Molybdenum Industry in its goal and layout to become an independent technology service provider for wind turbine AI predictive operation and maintenance.

Working with partner ONYX insight to provide customers with an AI predictive operation and maintenance system, including wind turbine power generation loss and damage prediction of key wind turbine components

▲Works with partner ONYX insight to provide customers with an AI predictive operation and maintenance system, including wind turbine power generation loss and damage prediction of key wind turbine components

Building a solid foundation for domestic wind turbine operation and maintenance, using Taiwan as a base to expand to Southeast Asian wind farms

The market output value of offshore wind turbine AI predictive operation and maintenance in Taiwan will exceed NT$30 billion in the future, and the energy storage market has an output value of more than 100 billion US dollars globally. In the future company vision, Hua Molybdenum Industrial hopes to become An independent technical service provider for vanadium flow battery electrolyte and wind turbine AI predictive operation and maintenance. The long-term goal is to establish a local supply chain of vanadium flow battery electrolytes around the world by accumulating abundant technology and performance capital to supply industry needs nearby.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」

Recommend Cases

這是一張圖片。 This is a picture.
Realizing the dream of unmanned stores, Magpie Life is building the future of the smartphone industry

"The DNA of Magpie Life is not limited to vending machines We believe that vending machines combine technology, access, and humanities to bring us exciting results" This is a sentence on the official website of Magpie Life Let the vending machines bring To live a pleasant life and build a considerate, technological and sustainable future for the smartphone industry is also the original intention of Magpie Life Founded in 2018, Magpie Life launched Taiwan’s first private-brand mobile payment scan code sensor 4 months after its establishment, completing the consumption experience through screen touch The Magpie U1 smart vending machine manages the POS system and gathers data in the background, allowing consumers to synchronize with the world's new retail pace and experience a new retail consumption experience of purchasing convenience, checkout security, visual entertainment, and improved logistics replenishment efficiency Traditional vending machines lack information visibility and AI technology assists in information transparencyThis time, the Magpie smart vending machine is also equipped with AI technology to provide adjustable shelf space , a vending machine equipped with an industrial computer and a large-size touch display screen to achieve the purpose of a store-less store Magpie Life stated that the biggest problem with traditional vending machines is the lack of information visibility To check inventory, replenishment personnel must physically inspect each machine, which is time-consuming and costly When a machine breaks down, it will generally be unable to operate for a long time Most failures go unreported and are not discovered until the next restocking crew arrives to replenish supplies Then you have to wait for a service technician to be scheduled, which can take weeks Traditional vending machines lack real-time interactivity When consumers encounter problems after inserting coins, manufacturers cannot handle them immediately In addition, traditional vending machines are less flexible and cannot adapt to changes in consumer preferences Traditional vending machines have shortcomings such as limited change shopping, single payment tools, limited number of products, and few choices Affected by the COVID-19 epidemic, consumption habits have shifted to contactless methods, causing the unmanned store market to heat up Generally, vending machines can only place relatively simple products such as drinks, food, etc The properties available for sale are limited The patented vending machine developed by Magpie can adjust the shelf space and is equipped with a lifting cargo elevator, which is suitable for various types of goods In addition, the machine is equipped with an industrial computer and a large-size touch display screen, which can meet the needs of advertising support at the same time It is expected to move towards a storeless store According to Magpie Life Observation, the consumer market trend in the past two years is that consumers demand convenient life, food consumption patterns value dining experiencesimple and fast, and are equipped with mobile phone-connected ordering models, and hot drinks and Fresh food delivery is the focus of two major trends The location, items sold, consumption methods and multiple payment methods are the focus of market growth for smart vending machines In terms of convenience, Taiwanese consumers still prefer to purchase vending machine food near stations, airports, schools, and businesses in business districts Various payment methods are also gaining more support from consumers, indicating that in the future, automatic Vending machines can be developed in two directions diversified items and diversified payment methods AI sales forecast technology integrates back-end management to achieve precise marketing purposesDue to the wide variety of products, it is difficult to know the performance of products under different factors such as season, market conditions , promotional activities, etc, it is easy to cause out-of-stock or over-inventory situations Magpie Life has specially developed "AI sales forecasting technology" and integrated it into the back-end management system, hoping to lock in customer purchasing preferences and intentions through data analysis In order to achieve the purpose of precise marketing, make accurate business decisions and effectively allocate limited resources The introduction of AI systems can achieve the three major goals of precise marketing, inventory management and supply chain management This system is a replenishment decision-making aid designed specifically for supply chain managers It uses AI to predict future sales demand, helping companies effectively optimize production capacity, inventory and distribution strategies Its overall system architecture includes1 Data exploratory analysis function Provides automatic value filling, automatic coding and automatic feature screening functions for missing values in the data 2 Modeling function 1 Provides model training functions for two types of prediction problems regression Regression and time series Time Series Forecast nbsp2 Supports Auto ML automatic modeling, and the best model is recommended by the system Integrated models can also be established to improve model accuracy nbsp3 Supports multiple algorithm types Random Forest, XGBoost, GBM and other algorithms nbsp4 Supports a variety of time series models exponential smoothing, ARIMA, ARIMAX, intermittent demand, dynamic multiple regression and other models nbsp5 Supports a variety of model evaluation indicators R, MAE, MSE, RMSE, Deviance, AUC, Lift top 1, Misclassification and other indicators nbsp6 Supports automatic cutting of training data sets and Holdout verification data sets, and can manually adjust the ratio nbsp7 Supports automatic model ensemble learning Stacked Ensemble, balancing function learning Balancing Classes, and Early Stopping nbsp8 Supports the creation of multiple models at the same time The system will allocate resources according to modeling needs, so that modeling, prediction and other tasks have independent computing resources and do not affect each other In the overall server space With an upper limit, computing resources can be used efficiently nbsp9 It has in-memory computing function, which can use large-capacity and high-speed memory to perform calculations to avoid reading and writing a large number of files from the hard disk and improve computing performance 3 Data concatenation function Using API grafting and complete data concatenation automation, there is no need to manually import data, improving user experience 4 Chart analysis function Provides visual charts and basic statistical values for product sales AI data analysis solutions have two major advantages 1 Entrepreneurship machines can be rented and sold at low cost to open unmanned physical stores and cooperate with the chain retail industry Through smart machines, entrepreneurs can rent and sell them at a lower cost than the store rent Cost of running a retail business Two cooperation models, machine sales and leasing, are provided, and the choice is based on the evaluation of the industry 2 Various types of products are put on the shelves Products are sold anytime and anywhere 24 hours a day Up to 60 kinds of diversified products can be put on the shelves Large transparent windows enhance the visibility of products Regular replenishment and tracking of product sales status are available, and product types can be adjusted according to needs Recently, the line between the Internet and the physical world has blurred, the way customers interact has changed significantly, and consumer demand is changing and personalized The retail industry is facing unprecedented challenges and uncertainties, and mastering data has become key AI data analysis solutions can help the retail industry quickly activate large amounts of data, create seamless personalized experiences, optimize the operational value chain and improve efficiency, and strengthen the core competitiveness of enterprises 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【導入案例】救命急如星火 AI病危系統監測掌握黃金搶救期
Life-saving is as urgent as a spark AI critical illness system monitors and grasps the golden rescue period

60-year-old Mr Huang was admitted to the hospital due to a stroke After lying in the intensive care unit for two weeks, his condition suddenly took a turn for the worse After rescue, he was lucky enough to survive In fact, with the assistance of AI critical illness early warning technology, hospitals can detect signs and take timely and accurate medical measures 6-8 hours before a patient's heart stops, which can greatly reduce the chance of death in the hospital The deterioration of the condition is a process that evolves over time, and its subtle changes are by no means without context Previous research reports show that about 60 to 70 of inpatients who experience unexpected in-hospital cardiac arrest had symptoms 6 to 8 hours before their cardiac arrest, but only a quarter of them were recognized by clinical staff Detection and discovery, therefore, there is a need for a risk warning tool or system that can be used earlier and continuously to monitor the condition, alert medical staff to pay attention to subtle changes in the patient's condition at any time, and take timely and accurate intervention measures before the condition progresses to effectively reduce adverse events or the risk of serious adverse events Unexpected deterioration cannot be detected early Acute and severe patients often undergo unpredictable changes, and timely detection or prediction of potential acute and severe patients is an important issue The currently commonly used clinical assessment method is Modified Early Warning Score MEWS, which uses simple physiological parameter assessment including heartbeat, respiratory rate, systolic blood pressure, body temperature, urine output and state of consciousness to screen out high-risk patients, and has been proven to be predictive Patient clinical prognosis MEWS is a scoring mechanism with a single time point and a standardized formula However, the AI crisis warning system developed by Boxin Medical Electronics - Hospital Emergency and Critical Care Early Warning Index System EWS is designed to predict patient status with immediate response , collect the physiological data of patients over time for deep learning, find the best prediction model, and improve the overall accuracy Boxin Medical Electronics uses a big data analysis model to build an early warning system EWS, IoT Internet of Things and 5G communication technology, allowing medical staff to remotely monitor the physiological status of patients through communication equipment, and monitor emergency and severe cases quickly The patient's condition changes and the golden rescue period of 6-8 hours before cardiac arrest can be grasped After Boxin Medical Electronics introduces AI visual interpretation, unmanned operation can greatly reduce medical manpower The AI technology developed by Boxin Medical Electronics is the Gradient Boosting Ensemble Learning System GBELS to build an early warning system It is a learning-based EWS prediction algorithm developed by the company, which is an integrated learning Ensemble Learning and is classified as supervised learning, providing the following three functions 1 Early warning risk notification is used to analyze representative data using GBELS to provide an early risk score so that medical staff can conduct immediate clinical assessment and provide appropriate medical treatment 2 Reduce medical manpower Collect continuous physiological monitoring data, such as heartbeat, respiration, blood pressure and blood oxygen concentration, etc, to reduce the time for medical staff to write cases 3 Combine IOT logistics network and 5G communication technology to quickly transmit medical data such as monitoring parameters and imaging data, and assist medical staff to monitor changes in patients' condition remotely through communication equipment AI critical illness system monitoring to master the golden treatment period Boxin Medical Electronics stated that assessing the severity of the disease in acute and severe patients is a complex task, and patients often experience unpredictable changes Clinical medical staff often judge the condition based on their own clinical experience or intuition, which lacks science and objectivity, resulting in the inability to correctly identify and timely detect potentially acute and severe patients, resulting in or misdiagnosis leading to increased in-hospital mortality of patients The introduction of an AI early critical illness warning system can assist emergency and critical care medical staff to correctly predict the patient's condition and allow patients to receive the care they need immediately This can reduce the manpower arrangement of the emergency and critical care ward at the same time and reduce labor costs In addition, the easy-to-carry design will help the system be introduced into ambulances, home care and other places in the future, so that emergency patients can receive appropriate care earlier Other departments within the hospital can also develop new applications around this system, which can effectively accelerate the development and promotion of smart medical technology With the COVID-19 epidemic still raging in many countries around the world, this system can also help hospitals in various places to operate more effectively Caring for and monitoring the condition of critically ill patients In addition to AI critical illness warning, Boxin Medical Electronics has also developed AI image interpretation - Medical Physiological Monitor Life Cycle Compliance Testing AVS, which uses AI image interpretation technology to develop automated quality inspection of life support medical equipment The instrument solves the time-consuming problem of medical instrument testing It can reduce testing time by 70, increase the number of tests by 3 times, and effectively reduce labor costs by 50 At the same time, it is 100 compliant with regulatory requirements, and gradually solves the shortage of manpower and medical resources in the medical field , medical work overload and other issues It has now taken root in mainland China and is actively preparing for its launch in Europe It will develop towards the Japanese and American markets in the future Boxin Medical Electronics develops AI image interpretation-medical physiological monitor life cycle compliance testing AVS to solve the time-consuming problem of medical instrument testing and can reduce testing by 70 time At this stage, Boxin Medical's smart medical technology has been introduced into medical hospitals including Hsinchu MacKay, Changkei, Dongyuan General Hospital, Kaohsiung University of Technology Affiliated Hospital, Zhenxin Hospital, Hsintai Hospital, Taipei Medical University Affiliated Hospital, etc GE HealthcareInc, an internationally renowned medical materials manufacturer, and Mindray Medical, China's largest medical materials manufacturer, are both representative customers of Boxin Medical Electronics 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

【導入案例】屈臣氏導入insider AI 技術平台 加強客戶體驗提升轉換率
Watsons Introduces Insider AI Technology Platform to Strengthen Customer Experience and Enhance Conversion Rates

Watsons Taiwan, holding the leading position in physical chain drugstores in Taiwan, has continued to expand its digital transformation Since establishing Watsons' online store in 2014, apart from actively developing the e-commerce market, the company has significantly enhanced the online and offline OO omni-channel consumer experience by integrating Insider AI technology This integration utilizes extensive in-store sales data, consumer behavior analytics, and AI-driven personalized recommendations delivered at optimal times to increase conversion rates OO Online Plus Offline Boosts Customer Conversion Rate, Driving Business Growth Watsons Group, a global retail giant, has been deeply rooted in Taiwan for the past 30 years specializing in retail, store operation SOPs, and retail supply chain optimizations However, managing an e-commerce platform only began a few years ago Unlike the commonly discussed 'O2O' online to offline in retail, Watsons adopts 'OO', which is offline plus online Currently, about 20 of customers who order at Watsons' online store choose to pick up their goods at physical stores Proper service at these stores acts as a catalyst for converting online-originated customers into additional in-store revenues According to statistics, Watsons has nearly 6 million members with a substantial volume of transactions in physical retail outlets However, with over 12 million active app users and nearly 3 million app downloads, the level of member activation is still lacking By utilizing AI technology for data integration, such as providing optimized product recommendations through AI, Watsons could significantly enhance its customer conversion rate from offline to online consumption or guide online customers to in-store purchases, thereby driving business growth Homepage Personalized Recommendation Module Recommended for You Originally, Watsons used the e-commerce solution Hybris from the global system integrator SAP, which was more geared towards simple display and sales, lacking sufficient technical resources to handle enhancing the consumer experience Insider is a marketing technology martech company with offices in 25 cities globally, including a professional consultancy team in Taiwan that provides localized digital solutions Committed to optimizing digital marketing effectiveness with technology, Insider helps brands drive digital growth and is a partner to many domestic and global enterprises including Watsons, Carrefour, IKEA, Lenovo, Adidas, Sinyi Realty, and Singapore Airlines Insider has shown outstanding performance in improving customer conversion rates, repurchase rates, and advertising ROI through AI technology Watsons introduced Insider's AI algorithms primarily for enhancing customer experience, using AI's personalized and integrated marketing modules to elevate the customer interaction and improve e-commerce conversion rates Additionally, AI functionalities search for the right customers, expanding new customer groups and providing a superior shopping experience Page-specific Discount Code Copy Feature Recommended Based on Customer Behavior Insider has developed various technological modules that can be applied in different customer scenarios to enhance conversion rates Currently, Watsons' e-commerce websiteAPP utilizes different Insider modules, with some parts also tailored based on Watsons' unique attributes such as necessities repurchase, app navigation, and scratch card discounts, designing conversion kits or personalized recommendation modules for specific customer situations within Watsons Introduction of WebAPP Personalized Recommendation and Conversion Module Kits Effectively Increases Conversion Rates by 10 Watsons has already introduced the first four of the planned modules, with a full rollout of all five modules expected by 2021, aiming to enhance both online and offline cross-sales and thereby comprehensively improve Watsons’ overall e-commerce and retail performance 1 Web RecommendationConversion Suit 2 App RecommendationConversion Suit 3 InStory for eCommerce 4 Mobile App Template Store 5 Insider Architect Watsons has currently implemented the AT module, with completion expected by the end of 2021 Since partnering with Insider in 2020, Watsons has introduced WebAPP personalized recommendation and conversion module kits, effectively increasing transaction conversion rates by an average of over 10, with ROAS Return on Ad Spend averaging over 10 Watsons also hopes to integrate POS sales records into Insider's CDP Customer Data Platform to achieve a more optimized OO interaction mechanism and complete an all-channel consumer experience By combining Insider's AI technology, Watsons' self-operated official website, supplemented by extensive in-store sales data and member consumer behaviors, along with AI's personalized recommendations delivered at optimal points, the technology will significantly boost consumer transactions online and interactive opportunities in-store Utilizing new technologies in the competitive e-commerce sector allows Watsons to maintain a unique leadership position in the beautyhealth category in the consumers' minds「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

PopularTags