Energy intensive manufacturers around the world are highly interested in, and have a strong need for, energy management systems (EMS) that will help them consume less energy and reduce their operational costs. Additionally, there is an increasing trend to optimize the mix of conventional and alternative energy sources used by facilities, which can help to protect the environment by reducing the emissions of gases such as CO2 and NOX.
Tradeoffs between the electrical, steam, and chilled water systems are determined by complex relationships that present an overwhelming 24/7/365 challenge to operators in their effort to provide stable and reliable service while at the same time trying to minimize cost and greenhouse gas emissions.
VisualMesa Energy Performance Real-Time Optimization (EP-RTO), using best in class technology, determines how to manage your steam, chilled water, electrical and fuel efficiently and reliably, and provides significant cost savings through the economic optimization.
EP-RTO is an online and real-time implementation with an engineering model, which considers plant control strategies and system reaction to changes in the utilities. EP-RTO gives operators actionable advice on how best to operate complex, interactive utility systems to minimize utility cost. For example, operators receive directives on how to set cogeneration and boiler steam production, swapping steam/electric drives, chilled water supply, the export of steam, and how to manage real-time power purchase and sale.
1.Monitoring: Monitoring the steam, electric, water and fuel systems. Assists in steam system management by monitoring all variables and provides warnings of important changes.
2.Optimization: Optimizes the production and use of steam, fuel and power to reduce costs. Recommends how to operate the utility system at minimun cost solving the mixed-integer and discrete non-linear optimization problem with an SQP-based method.
3."What If?" Planning: Predicts how the steam system will respond to proposed changes such as a new plant, plant expansions, change of process, shutdowns, etc. using current, historical, or user-defined data.
4.Auditing, Accounting and Data Validation: Auditing the system with continuously validated data. Mass Balance closure is determined at every location where enough instrumentation is available.
Visual MESA has mathematical models and discrete, non-linear, optimization routines (SQP) built in to predict how to run the steam and electrical systems at the minimum cost while meeting required plant steam demands and other critical plant constraints.
Visual MESA also determines where to make incremental steam and electricity as well as identifying which turbines or valves will most efficiently let down the steam between process levels.
Visual MESA decision variables are grouped into four levels that can be executed progressively to solve the optimization:
An online hosted Visual MESA model usually runs at Level 3 Optimization, with Level 4 runs executed from time to time.
The bottom line of Visual MESA: Optimize the total operating cost of the system, where:
TOTAL OPERATING COST= TOTAL FUEL COST + TOTAL ELECTRIC COST + OTHER COSTS (water,etc)
Visual MESA optimization chooses the most economic fuel to burn in the boilers and/or process heaters. The fuel system can be modeled in great depth to include contractual issues (e.g. fuel oil grades, natural gas suppliers, quotas and penalties if the former are exceeded), emissions limits, CO2 trading. When co-generation options are available the fuel/steam tradeoff can yield economic benefits.
Visual MESA users have documented annual energy cost reductions on the order of 5-6% from optimization.
Plus, additional savings can be obtained by:
Example: This chart shows the reduction in lost opportunity costs at a medium-complexity Refinery plus Olefins Unit.
First month: "Base line", Visual MESA being executed on-line but no optimization actions are taken.
Second month: Visual MESA Optimization suggestions are obeyed progressively.
Third month: Visual MESA Optimization suggestions are followed on a daily basis.
Rohm and Haas Company is one of the world's largest manufacturers of specialty materials, including adhesives, sealants, coatings, monomers, electronic materials, inorganic and specialty solutions, and ion exchange resins. Founded in 1909 by two German entrepreneurs, Rohm and Haas has grown to approximately $6 billion in annual revenues.
It is Kuwait Petroleum Company's (KPC) and its subsidiaries' policy to ensure that all energy should be managed in accordance with best engineering environmental practices and within regulatory compliance at all times.1 All operations must be committed to institute an energy efficiency programme and minimise emissions of pollutants including global warming gases. As part of the activities to follow those premises, energy management cells (EMC) have been formed at each of the Kuwait National Petroleum Company (KNPC) refineries: Mina Al-Ahmadi (MAA), Shuaiba (SHU) and Mina Abdulla (MAB).
After a feasibility study, TOTAL decided to test an on-line model for site wide energy system management. TOTAL operates a large and complex energy system at Feyzin refinery. A detailed model of the energy system has been built and it is continuously fed with validated (not reconciled), real-time data. It includes all the actual constraints of the site and decision variables for their operation.
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