Decision Support System for the Optimal and more Resilient Microgrid design and Energy Management (DSS-ORMEM)
Abstract
This proposal springs up from a collaboration with prof. Giovanna Oriti, whose research is fundedby Dr. Rich Carlin, ONR-HQ, under ESTEP (Energy systems technology evaluation program) and byNAVFAC under NSETTI (Naval shore energy technology transition and integration).The research wants to offer a turn-key solution by linking how devices work / are controlled / sizedto macro-parameters, connected to non-trivial choices.It aims at bridging the energy modelling, planning and management areas.The main topics to be investigated are:1) to identify, model and analyze real load profiles of microgrid users (i.e. military basis, FOBsor residential users) to assess the needs, the critical loads, to find out common features (whensuch common features may occur and when they don#t), to prioritize choices in the early sizing, topropose simplifications speeding up preliminary assessments in the conceptual design phase;2) in case of retrieving good and comprehensive data from an identified final user, such asRota Naval Station (Spain), or Sigonella Naval Air Station (Sicily, Italy) or Naval Support Activity,Souda Bay (Crete, Greece), the project will help by implementing a supporting forecasting toolboth for the load continuous adjustment value and for the renewable sources feeding the system,to propose a better energy planning between fossil fuel-based and various RES sources. The betterthe information (consumptions, holidays, heating and cooling degree days, temperature, solarradiation in the location, etc.) and dataset, the better the forecast when using, for instance, deepneural networks and regression analysis. How to incorporate ML/AI techniques will beinvestigated. This area is currently a hot topic in energy management and several existingmethodologies need to be compared to check what can have an easier implementation thanothers;3) to aim at outcomes which can deepen the knowledge between primary controller logicand the effect on the economics of the microgrid system: e.g., to link the inner operational of theEMS with the cashflow of the system, where that logic will be working fora long time. Forinstance, when a particular logic is implemented into controllers it affects the way energy flowsfrom different available sources (whether they are diesel generators, PV or BESS), it affects thenumber of needed storage devices, depending on the size and capabilities of providing energy andpower and ultimately it affects the way they will be charging and discharging, hence their lifetimeand economics;4) for an identified case study (e.g., one of the Navy customers listed above) to investigatedispatching solutions aiming at maximizing resilience, minimizing costs, minimizing fuelconsumption when for instance PV+HESS are due to be implemented in the most cost-effectiveway, according to their technical specifics and location (energy density, energy/power capacity,cycles to failure, depth of discharge, investment costs, efficiency, resiliency needs #). Trade-offsolutions, among the studied scenarios, will be characterized and identified, based on the resultsof the interaction with the reference research team, whose knowledge on the case study featuresis a key element.The four objectives above will cover the whole three years of work, aiming to- to help identifying the core features for a technology to be included;- provide a tool to make better decisions from economic, practical (better understanding)and technical (better management of collected data) standpoints;- to help the energy manager to choose the best microgrid configuration and operation onceseveral indicators have been assessed in the conceptual design phase.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 12, 2023
- Source ID
- N629092312032
Entities
People
- Norma Anglani
Organizations
- Office of Naval Research
- United States Navy
- University of Pavia