The hospitality sector, particularly hotels, encounters ongoing challenges related to energy management. To reduce energy costs and enhance energy efficiency, advanced solutions that facilitate the monitoring of energy consumption across all levels, including individual rooms, common areas, and service departments, are essential. Accurate monitoring to reduce energy waste should be combined with the ability to predict energy needs and consider factors such as traffic patterns and seasonal fluctuations.
To achieve sustainable development and adhere to international sustainability standards such as ISO 50001, ISO 14064, and ESG, hotels need to implement solutions that reduce their energy costs and facilitate monitoring energy efficiency improvements through comprehensive reporting. These solutions should streamline processes while ensuring transparency and ease of use.
SenseOne's EnergySense solution provides the necessary capabilities for monitoring, analyzing, and predicting energy consumption. This enables energy consumption optimization and reduces the environmental footprint while also recording carbon dioxide emissions in accordance with the ISO 14064 standard.
SenseOne's EnergySense solution, based on the SenseOne IoT Platform, allows hotels to monitor energy consumption accurately and in real-time. The solution interoperates with any system and metering equipment. It provides analytical data through dynamic dashboards and reports, making the process of monitoring and analyzing energy consumption more efficient and transparent. Creating Energy Performance Indicators (EnPIs) facilitates monitoring energy consumption across various departments, services, or cost centers. This approach provides precise data that informs strategic decision-making processes.
The SenseOne IoT platform integrates data from various hotel units, establishing a centralized database that facilitates efficient monitoring and analysis. The solution is designed for ease of management. Authorized users can access data from any location via the cloud, facilitating prompt intervention and the implementation of corrective actions as necessary. Using the AI ToolBox, artificial intelligence models predict energy consumption and detect unusual consumption, allowing the business to achieve sustainable and efficient energy use. AI technology predicts future energy needs simultaneously, enabling consumption adjustments and waste reduction.
by categorizing the consumption of electricity, gas, water, and other utilities in energy use categories such as lighting, air conditioning, kitchens, refrigerators, ventilation, elevators, offices, restaurants, spas, pool heating, and laundry.
Documenting the energy consumption profile for all facilities enables seamless cost allocation to different cost centers. This approach guarantees precise costing and in-depth analysis of energy expenses based on usage, operating hours, and facility type. For instance, it helps accurately determine the energy costs associated with hosting a conference.
The solution receives and monitors data from existing systems, corrects incorrect values, and correlates data from different systems, such as reservation management, meteorological data, and more, allowing the formation of valid Energy Performance Indicators, for example, for a hotel unit.
The solution calculates and displays the most useful energy indicators for monitoring energy efficiency, such as kWh/guest, kWh/booking, kWh/temp, and more.
via a forecast model based on personalized essential variables, such as reservations, outdoor temperature, and seasonality, to calculate the expected energy consumption and compare it with the actual one.
The solution uses the EVO-IPMVP methodology to accurately measure and calculate the difference in energy consumption resulting from implemented savings actions. It also facilitates the evaluation of these actions by capturing analytical data on the carbon footprint of entities such as hotels. This data can be utilized in annual reports for ISO 14001, ISO 50001, and ESG.
For energy performance within the timeframe defined by the hosting unit, the time required for report preparation is reduced. This ensures a faster and more targeted analysis process and facilitates decision-making for optimizing facilities' energy and operational performance.
Designated users are notified about significant findings, such as malfunctions or unusual energy consumption, enabling immediate corrective actions.
Hospitality businesses and hotels can reduce energy consumption by monitoring and analyzing real-time energy data and implementing improvement strategies.
The solution is easy to install and user-friendly. Furthermore, it is scalable and adaptable to meet the specific requirements of any organization.