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Middle East hotels need to reduce their carbon emissions by two thirds within seven years to help prevent irreversible climate change

UAE-based smart and green facilities management company Farnek has launched a new state-of-the-art online remote digital platform called PowerTek, which was developed by in-house experts, at Farnek’s innovative digital solutions, sister company HITEK. The comprehensive and data-driven energy performance monitoring tool supports hotels and the wider business community, through efficient measuring, tracking, monitoring and benchmarking of energy and water consumption as well as waste management. “This analysis helps to reduce carbon emissions, which are key to fulfilling any roadmap towards net zero,” said Nadia Ibrahim, Director – Consultancy & Sustainability at Farnek. PowerTek analyses consumption and waste, with respect to multiple variables that can influence a hotel’s environmental metrics such as occupancy, guest nights, number of guest rooms, F&B covers, guest profiles, staff hours, air-conditioned areas as well as general weather conditions. This helps hotels to maintain higher operational efficiency, lower costs and the associated carbon emissions. “Following the science, to prevent irreversible climate change, we must restrict the global increase in temperature to 1.5°C. To achieve this, the net emissions of greenhouse gases (CO2e) will need to be reduced by up to 50% by 2030 and reach net zero levels by around 2050. “Putting that into perspective, according to an international study by Sustainable Hospitality Alliance, the hospitality industry needs to reduce its carbon emissions by 66% per room by 2030, and by 90% per room by 2050. Currently the hospitality industry is responsible for 8% of global greenhouse gas emissions. “These statistics clearly underscore the urgency of combatting climate change. Hotels have just seven years to reduce their emissions by nearly two thirds,” added Ibrahim. According to Farnek’s analysis, which uses data from its own hotel clients as well as …

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