In Analytics

The previous entry in this smart cities series examined how situational intelligence could be used to improve and optimize municipal water systems. Let’s look at how progressive use cases can help evolve smart infrastructure for city energy services and consumption.

As a first step, situational intelligence supports aggregating the energy consumption of city facilities into a single view of energy usage across city operations. Aggregation leads to efficiency in accounts payable and provides leverage for negotiating better energy rates with suppliers.

With the savings from accounting efficiencies and lower energy rates, city officials can invest in the energy efficiency of city facilities. Increased energy efficiency lowers costs, and the savings flow directly to the bottom line for improved fiscal health. Situational intelligence supports analyzing and scoring buildings according to their energy efficiency and projecting savings from capital investments in efficiency.

With buildings and facilities operating more efficiently, cities are in a position to begin implementing microgrids and energy storage devices to keep city services running in times of crisis, take advantage of renewable energy sources such as solar and wind, and participate in demand response programs that would increase reliability, lower energy bills and reduce carbon footprint. Situational intelligence maps and projects energy availability from storage devices and from renewable sources.

Energy and water, our most recent topics in this series, are constant needs for city residents. In a future blog post, we’ll see how progressive use cases might help to evolve services of a more intermittent nature, such as crisis response.

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