Demand Response

Demand Response Management Solution: Smart and swift actions.

The existence of Smart Grid has been an industry transformation. However, this ecosystem can do better if we could manage the critical surge of energy consumption needs smartly. This specific surge happens periodically, and requires temporary, reactionary measures. In such situations, usually, unrefined source of power will then be supplied through utility centers to consumers on demand. Surges also lead to problems, such as, peak overloading, electricity blackouts, and expensive electricity buyouts by utilities, serving no advantage to both supply and demand ends. This is where URBAN RENEWABLES will implement a Demand Response Management System (DRMS); it is a program that makes short-term reductions during high energy demands.

Demand Response activations can last from a couple of minutes to some hours depending on the program. It might include turning off or dimming lighting, adjusting HVAC levels, or shutting down a non-critical manufacturing process. On-site generation and storage systems can also be used to adjust loads drawn from the grid. The purpose is to keep the grid running optimally and automatically smooth out any peaks or valleys in power supply and demand.

These common problems happen every so often in our lives, with and without people knowing. There is a serious need for appropriate measures to be taken to counter unnecessary costs and issues in our buildings and cities. Besides, according to World Energy Council (WEC), the global demand for electricity is expected to double by 2060 from now, due to rising urbanization and industrialization. Resulting in the growing demand for electricity, requirement for implementation of DRMS is forecasted to rise to a significant level across the globe from now to 2023. Hence, URBAN RENEWABLES offers this solution opportunity that will not only offers cost benefits and incentives to the end-users linked to it, but also reduces the need from dirty power sources that pollute the air and environment.


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