MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking

MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking

This paper presents a multi-criteria decision-making (MCDM) approach for optimizing a microgrid system to achieve Plus-Energy Building (PEB) performance at the University of Coimbra’s Electrical Engineering Department. Using Python 3.12.8, Rhino 7, and PVsyst 8.0.1, simulations considered architectu...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmoud Ouria, Alexandre F. M. Correia, Pedro Moura, Paulo Coimbra, Aníbal T. de Almeida
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
Plus-Energy Building
TOPSIS-MCDM and solar energy optimization
PV system design and uncertainty
battery storage systems
urban sustainability
university microgrid
Online Access:https://www.mdpi.com/1996-1073/18/14/3641
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a multi-criteria decision-making (MCDM) approach for optimizing a microgrid system to achieve Plus-Energy Building (PEB) performance at the University of Coimbra’s Electrical Engineering Department. Using Python 3.12.8, Rhino 7, and PVsyst 8.0.1, simulations considered architectural and visual constraints, with economic feasibility assessed through a TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) analysis. The system is projected to generate approximately 1 GWh annually, with a 98% probability of exceeding 1076 MWh based on Gaussian estimation. Consumption is estimated at 460 MWh, while a 3.8 MWh battery ensures up to 72 h of autonomy. Rooftop panels and green parking arrays, fixed at 13.5° and 59°, minimize visual impact while contributing a surplus of +160% energy injection (or a net surplus of +60% energy after self-consumption). Assuming a battery cost of EUR 200/kWh, each hour of energy storage for the building requires 61 kWh of extra capacity with a cost of 12,200 (EUR/hr.storage). Recognizing environmental variability, these figures represent cross-validated probabilistic estimates derived from both PVsyst and Monte Carlo simulation using Python, reinforcing confidence in system feasibility. A holistic photovoltaic optimization strategy balances technical, economic, and architectural factors, demonstrating the potential of PEBs as a sustainable energy solution for academic institutions.
ISSN:1996-1073

Similar Items