What are the Technologies Fighting Climate Change?

Applied Tech Review | Wednesday, June 15, 2022

Artificial intelligence of things (AIoT) technologies are essential for addressing a number of carbon management concerns. There are several primary areas of emphasis to make carbon management more efficient, transparent, and successful.

Fremont, CA: Governments responsible for 63 percent of global emissions have committed to net zero. Business net-zero commitments cover 12 percent of the global economy in response to societal demand for a more environmentally friendly agenda. In terms of effective emission-reduction efforts, it is not uncommon for there to be significant discrepancies between stated goals and actual emissions, despite the fact that discourse and action must go hand-in-hand. Setting a goal is merely the first step; the second is to comprehend and quantify the actual emission baseline in measurable units. Next, the emissions reduction strategy must be precisely defined. Finally, monitoring of targets vs actual progress in near real-time is implemented. Ultimately, for nations and businesses to attain net-zero emissions, they must monitor, reduce, and in certain circumstances, offset the emissions they produce.

Here’s how technology can fight climate change:

Integrating AIOT in measurement and reporting

Due to the plethora of databases and systems associated with various carbon-producing assets, the labor required to categorize and organize the data from various business units and assets is substantial. Integration of the Internet of Things enables the smooth collection of real-time activity level data and asset inventory data from several platforms. This enables an organization to efficiently organize, collect, and transform data into reports for accurate emissions monitoring and measurement, hence decreasing total data collection efforts and improving data quality and report resolution.

Abatement intelligence for predictive analytics simulated emissions

Primarily, the absence of precise measurements for establishing the emissions resulting from specific operations poses a difficulty in planning for pollution reduction. AIoT technology addresses this difficulty by generating insights from real-time data to estimate process emissions more accurately. AIoT can improve the performance evaluation of abatement measures and optimize emissions estimates by analyzing and learning from data from numerous operations. In addition to optimizing abatement procedures, this technology reduces the overall marginal costs of abatement.

Carbon offsetting and offset integration

With an anticipated potential market size of $200 billion by 2050, the carbon offset market plays a vital role in reaching global net-zero emissions objectives for countries and organizations, despite being the last choice. However, the industry is plagued by the verification of carbon offsetting and the difficulty of trading. Technology can facilitate the validation of RECs in near real-time and provide a market for inexpensive and speedy carbon offsetting. Offset integration would offer an organization with a global pool of offsets, facilitating trade and emissions planning, decreasing organizational burden, and optimizing the timing of REC purchases and retirement.

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