Honeywell modelling software helping refining and petrochemical plant operators maximise profit

Honeywell Process Solutions announces the release of the latest version of Refinery and Petrochemical Modelling System (RPMS) designed to deliver a powerful and flexible solution to help refiners and chemical plant operators maximise profitability.

The new release, RPMS 500 will improve model building and maintenance, case management, and optimisation to help plants maximise profitability. Incorporating analytics software based on the company’s innovative Intuition process management to better apply planning results, RPMS 500 also helps refining and petrochemical firms assess their long-term investment options and understand the critical differences in potential yield and value of various feedstocks, as well as determine the best operating conditions over the planning horizon.

Patrick Kelly, product director, Honeywell Process Solutions explains that RPMS Release 500 preserves the rich capability of RPMS while making it easier and more efficient to operate. RPMS 500 simplifies building and maintaining refinery planning models, and generating and reviewing production plans. The software also provides information to help operators make the best production decisions. It includes a web-based tool that makes it easier for the broader organisation to access and analyse information.

Key new features in the RPMS 500 modelling software release include support for Windows 7/8 64-bit platforms, as well as tools to simplify migration to the current software version. Other enhancements provide improved case management, new graphical user interface, HTML-based reporting, and improved optimisation capabilities.

The new tools in RPMS 500 are critical to optimising the overall profitability of refining and petrochemicals operations by enabling clients to assess more options and align the organisation more effectively to the plan. Effective planning is critical to help today’s process industries increase profitability. RPMS helps enable development and analysis of advanced mathematical programming models, utilising linear programming (LP) optimisation to answer key business questions related to raw material purchases, product specifications, plant operation, and distribution and logistics.

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