Energetica India Magazine December 2021

References (1) 2019, KBC, A Yokogawa Company, Energy Transition and Industrial En - ergy Transition Manifesto https://www.kbc.global/hot-topics/energy-transition/ https://www.kbc.global/insights/whitepapers/industrial-energy-transi - tion-manifesto/ (2) 2021, KBC, A Yokogawa Company, Visual MESA Energy Management System Fact Sheet https://www.kbc.global/uploads/files/solutions/0023- VMEMS-DAS-US-112019.pdf (3) 2013, Online Energy Management System Implementation in KNPC Mina Al-Ahmadi Refinery, M. Ershaid, A. Al-Tarkeet, D. Periyasamy, N. Visu - ara, C. Ruiz, S. Cúneo, Middle East Process Engineering (MEPEC), Bahrain (4) 2018, Visual MESA Energy Real Time Optimizer at TOTAL Antwerp Re - finery, KBC Users Conference, London, UK Concentrated Solar Power: to manage the en - ergy storage and the start/stop of the system (pumping of the heating fluid, steam turbines) as a function of the solar intensity and other specific constraints. Photovoltaic (PV) Solar Energy: managing the energy storage as a function of the pre - diction of the solar intensity and other spe - cific restrictions and constraints. Decision variables could involve start/stop of ancil - lary or backup conventional systems, like Wind Power: to manage the inventory of bat - teries and/or hydrogen, when it is produced to store energy, injected in a natural gas pipeline, or further processed in a production plant. To be done as a function of the prediction of the wind speed and other restrictions. MPO could boilers, gas turbines or turbine/motor drivers for pumps and compressors. eventually be used to define the start/stop of the wind turbines. RENEWABLE POWER 43 energetica INDIA- December_2021 energy inventories, time-sensitive operating constraints (e.g., mini - mum down time or up time for pieces of equipment like boilers and gas turbines and its sequencing, etc.), or the start/stop schedule of complex equipment (e.g., gas turbines with their related heat recovery steam generation and steam turbo generator) are present. It is useful for different types of renewable energy systems. A few examples showing some of the potential uses are: Biomass: MPO can be used to manage the biomass inventory that is used for the genera - tion of steam or electricity as a function of the forecasted supply as well as constraints on the power and/or biomass storage capacity and alternative fuel costs. As a case study of how the MPO is used in the new renewables landscape, an example is presented. Hybrid Power Plant: it is a renewables-based generation facility in Europe where both, PV, and wind power production is done (from there came the Hybrid Plant term) as well as battery banks are used. In this case, MPO helps to optimally manage the batteries storage based on the solar and wind intensity forecasts, as well as the grid prices and demand. Figure 6 shows a screenshot of the EMS real time optimizer and monitor web graphical user interface, with the Solar panels and batteries tied to the direct current (DC) line, and the wind turbines to the alternate current (AC) line. A converter tying both DC and AC lines. Figure 7 presents the results of the optimal batteries manage - ment, with its charge, discharge, and inventory schedule, based on the wind and PV power production forecast. The optimal schedule was produced with an Energy Management System which includes an MPO based application that helps drive the real-time optimal operation. Conclusions Energy transition activities introduce several challenges when try - ing to effectively manage energy use in process plants. When planning, monitoring, or managing in real-time, either for a single site or a set of interconnected facilities, a detailed knowledge of the sources and uses of energy is necessary. The coordination of information, forecasts, scheduling activities, regulations, reporting, and control activities are necessary for consistent and optimal de - cision-making. This requires the appropriate set of software support tools. An ideal EMS should be based on a real time, digital twin model of the energy system to help always operate at the lowest economic cost and minimum GHG emissions. This will allow to monitor the past while optimizing the current operations with the advantage of looking into the future.