Vous êtes confronté à des perturbations inattendues de l’approvisionnement en énergie. Comment assurez-vous la continuité des opérations des installations ?

This scenario is common in many states in India. Digitalization and Alternate sources of energy can help in this regard. A detailed study through data logging and and application of predictive modelling can generate some patterns and predict failure which will help taking remedial measures. Adoption of Renewable energy in form of solar plants, Wind mills ,micro- hydro power (depending on the zone of use) can be adopted as a long term solution. This in one hand gives a cushion against sudden power disruptions , but also gives cost advantage. All of these can not rule out installation of emergency back up power supply. Companies need to assess the minimum continuous power requirement and develop a captive capacity accordingly

To ensure uninterrupted facility operation during an energy disruption, activate backup power systems (UPS, generators), prioritize essential loads, and use BMS to monitor and control energy usage. Reroute power if possible and communicate effectively while following contingency plans.

In my experience, the first step in handling unexpected energy disruptions is to assess risks. One thing I found helpful is conducting a thorough risk assessment to identify vulnerabilities like grid issues or weather impacts. For example, I’ve worked with facilities that mapped out critical systems and created a response plan. In my opinion, investing in backup systems like generators is essential. Also, energy efficiency helps reduce the strain during disruptions. Using smart controls and integrating renewables can ensure continuous operations by diversifying energy sources and optimizing demand.

In addition to assessing immediate risks, consider the long-term climate and regulatory changes that could impact your energy supply. Proactively planning for these scenarios will give you a competitive edge and ensure that your facility remains operational even as external conditions evolve.

Se pensarmos em tudo que pode influenciar na qualidade de energia, temos que estar atentos desde a riscos climáticos até mesmo com roubos ou vandalismos das linhas de distribuição de energia. Além disso, é possível pedir que a distribuidora de energia avalie como está a qualidade de energia na sua região, isso pode ser um ótimo indicador para começar a conversar mais de perto da distribuidora ou então a avaliar implementações na sua empresa para evitar problemas futuros.

Beyond traditional backup systems, explore the use of microgrids for your facility. A microgrid can operate independently from the main grid, offering an additional layer of resilience by providing localized power generation and storage, ensuring operations can continue uninterrupted.

Geradores são um ótimo exemplo para manter sua operação em pé, porém os mesmos não são nada sustentáveis. Baterias são uma ótima opção para desligamentos mais rápidos, porém elas são muito caras. A forma de backup dependerá da visão, do quanto impacta e como isso pode ser realmente feito em sua empresa. Estudar todos os riscos e tentar mitigar todos os problemas, vão ser essenciais para melhorar sua qualidade de energia.

Depending on your facility and operations requirements, backup systems, off-grid solutions and even green energy supply may be necessary. The tradeoff between backup energy costs and impacts on operations will have to be analysed.

I believe that modern industrial facilities must be energy efficiency oriented. From design to day to day operations, energy efficiency must be continuosly monitored by specific KPIs and with AI support.

Consider implementing energy audits on a regular basis. These audits will help you identify unexpected inefficiencies or outdated equipment, allowing you to address issues before they become significant, further reducing the strain on your energy supply during disruptions.

Go a step further by integrating predictive analytics into your demand response strategy. By using data to predict peak demand periods, you can proactively adjust your energy usage ahead of time, minimizing the impact of disruptions and maximizing the benefits of demand response programs.

Look into hybrid energy systems that combine renewables with conventional energy sources. This approach allows you to seamlessly switch between different energy types, ensuring a consistent power supply while optimizing cost and efficiency during disruptions.

Incorporate machine learning into your smart control systems. By doing so, your system can learn and adapt to your facility's unique energy patterns, improving efficiency and responsiveness over time, particularly during unexpected disruptions.

Smart control systems can significantly enhance their efficiency and adaptability. Data Collection and Integration Sensor Deployment: Install sensors to collect data on energy usage, temperature, occupancy, and other relevant factors. Data Aggregation: Centralize data from various sources, including historical records and real-time inputs, to create a comprehensive dataset. Algorithm Selection: Choose appropriate machine learning algorithms (e.g., regression models, classification algorithms, clustering techniques) based on your goals, such as predicting energy consumption or detecting anomalies. Training the Model: Use historical data to train your machine learning models, enabling them to recognize patterns and relationships.