Monitoring and Improving Water Quality with Analytical Thinking

In an age of heightened scrutiny surrounding the implementation of efficient and sustainable industrial practices, the maxim "you can't manage what you don't measure" holds, particularly for those whose daily responsibilities revolve around monitoring and enhancing water quality.

Monitoring and Improving Water Quality with Analytical Thinking

Image Credit: ABB Measurement & Analytics

In today's rapidly evolving industrial landscape, maximizing efficiency and competitiveness while minimizing energy consumption and environmental impact is crucial; however, this need places increasing pressure on companies to have detailed insights into ongoing operations regardless of location or specific operating conditions.

Consider water quality, for instance. Water utilities involved in potable and wastewater treatment are expected to meet ever-rising standards in water supply and treatment. This requirement originates from the need to fulfill public expectations and comply with increasingly stringent environmental regulations.

The same expectation extends to those consuming significant amounts of water at an industrial scale. They must closely monitor both the quality and quantity of discharged water to minimize the impact of their activities on surrounding waterways.

Operators of power generation processes must also address the additional challenge of safeguarding against excessive accumulation of contaminants. If left unattended, these contaminants can significantly impair the efficiency and operational lifespan of critical plant components such as boilers and steam turbines.

Continuous Monitoring

Similar to an outdated encyclopedia, the limitations of conventional manual-based extractive sampling render it fundamentally unsuitable for a fast-paced world that seeks prompt responses.

The delays and uncertainties associated with manual sample collection and the inherent limitation of capturing a mere snapshot of a specific moment have directed users toward real-time analyzers that aim to fulfill growing operational and legislative requirements.

Employing online digital analyzers for continuous monitoring can significantly diminish the risk of an environmental violation, which could result in substantial financial penalties and harm the public perception of the organization.

Energy Efficiency

It can also contribute to indicating the path toward enhanced efficiency. In the case of dissolved oxygen, continuous monitoring has been demonstrated to significantly enhance aeration efficiency.

With aeration being responsible for more than 65% of energy consumption in wastewater treatment processes, discovering ways to boost efficiency through effective monitoring of dissolved oxygen presents a valuable opportunity to achieve substantial cost savings and minimize the carbon footprint.

Energy burden in Sewage Treatment.

Energy burden in Sewage Treatment. Image Credit: ABB Measurement & Analytics

Those who have transitioned to this approach are rewarded with timely and accurate "always-on" data, empowering them to make informed decisions that can be promptly implemented to enhance plant or process performance.

The growing demand for accountability necessitates a fresh mindset, which has prompted numerous water utilities and industrial water users to adopt online measurement methods.

Measurement Solutions

ABB, with its extensive expertise in manufacturing, supplying, and supporting water quality measurement solutions for both the water industry and industrial applications, has consistently delivered the highest levels of accuracy and reliability.

Leveraging such cutting-edge technology, these digital measurement solutions overcome the limitations of traditional approaches and offer simplified installation, usage, maintenance, and calibration, resulting in cost efficiency.

ABB also offers a comprehensive range of lifecycle and support services to ensure optimal productivity and return on investment from its measurement instruments.

This information has been sourced, reviewed and adapted from materials provided by ABB Measurement & Analytics.

For more information on this source, please visit ABB Measurement & Analytics.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    ABB Measurement & Analytics. (2023, June 05). Monitoring and Improving Water Quality with Analytical Thinking. AZoM. Retrieved on November 21, 2024 from https://www.azom.com/article.aspx?ArticleID=22708.

  • MLA

    ABB Measurement & Analytics. "Monitoring and Improving Water Quality with Analytical Thinking". AZoM. 21 November 2024. <https://www.azom.com/article.aspx?ArticleID=22708>.

  • Chicago

    ABB Measurement & Analytics. "Monitoring and Improving Water Quality with Analytical Thinking". AZoM. https://www.azom.com/article.aspx?ArticleID=22708. (accessed November 21, 2024).

  • Harvard

    ABB Measurement & Analytics. 2023. Monitoring and Improving Water Quality with Analytical Thinking. AZoM, viewed 21 November 2024, https://www.azom.com/article.aspx?ArticleID=22708.

Ask A Question

Do you have a question you'd like to ask regarding this article?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.