Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Optimizing Load Profiles in Industrial Microgrids through Demand-Side Management: Enabling Photovoltaic Integration for Moroccan Industry

Domain:

environment and energy

Record type:

paper
Creator:
AttOuaMok
Editor:
UniLab
Publisher:
CCSDIEEE
Host:avatar
International audience The industrial sector in Morocco faces persistent challenges linked to high electricity costs and limited flexibility in adopting renewable energy solutions. This paper presents a proof of concept for the application of demand-side management (DSM) through rule-based load shifting in a grid-connected industrial microgrid. Using real Moroccan industrial load data disaggregated into four categories, along with simulated photovoltaic (PV) generation from National Renewable Energy Laboratory (NREL) irradiance data and the national time-of-use (TOU) tariff, the study evaluates the impact of DSM on key performance indicators (KPIs). Results show that rescheduling 60% of fully flexible and 40% of partially flexible loads during high PV availability leads to measurable improvements in summer: grid energy imports decrease by 2.2%, renewable penetration and utilization increase by 1.47%, and grid costs are reduced by 3.1%. In winter, where PV penetration is intrinsically low, DSM achieves only modest benefits, primarily through tariff-driven cost savings (1.84%) and peak shaving. These findings establish a practical baseline for Moroccan industry, showing that DSM can yield measurable savings under real tariff conditions while underlining the need for battery energy storage systems (BESS) to extend renewable benefits into low-irradiance periods and further enhance economic and operational performance.

Visit

u-picardie.hal.science

Tags

TimingOptimizationRenewable energy sourcesPrintingEnergyTariffsModelingCostsCostingLoading+1

Similar

Load profiling and demand side management methods for optimized and sustainable microgrids in East AfricaLoad Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand-Side-Management MeasuresPSO method for optimising the demand side management system for peak clipping and load shiftingAnalyse und Nachfragesteuerung (Demand Side Management) Ostafrikanischer ländlicher Mikronetze: Modellierung und experimentelle Studie Analysis and demand side management of East African rural microgrids: modelling and experimental studyThe Grey Wolf Optimization-Based Demand Side Management Strategy for Peak Clipping and Load ShiftingAI concepts for Demand Side Shedding Management in Libya

Load profiling and demand side management methods for optimized and sustainable microgrids in East Africa

Etwa 600 Millionen Menschen in Subsahara-Afrika (SSA) haben nach wie vor keinen Zugang zu elektrisch

Load Data Acquisition in Rural East Africa for the Layout of Microgrids and Demand-Side-Management Measures

38th European Photovoltaic Solar Energy Conference and Exhibition; 1505-1510 With its growing popula

PSO method for optimising the demand side management system for peak clipping and load shifting

This dataset contains all electricity load data, and tariff information used in the study “PSO Me

Analyse und Nachfragesteuerung (Demand Side Management) Ostafrikanischer ländlicher Mikronetze: Modellierung und experimentelle Studie Analysis and demand side management of East African rural microgrids: modelling and experimental study

Die Energieversorgung ist für die Gesundheit und Produktivität von Haushalten und für das Wachstum m

The Grey Wolf Optimization-Based Demand Side Management Strategy for Peak Clipping and Load Shifting

Demand Side Management (DSM) plays a critical role in modern smart grids by optimizing electricity c

AI concepts for Demand Side Shedding Management in Libya

Demand side management is traditionally concerned with adjusting the load to meet generation to assi