Industrial Electrification Strategy for Saudi Vision 2030
Learn about the techno-economic optimization of renewable energy and storage for Saudi Arabian industrial facilities to reach Net Zero by 2060.
TECHNO-ECONOMIC OPTIMIZATION OF INDUSTRIAL ELECTRIFICATION PATHWAYS USING RENEWABLE ENERGY & ENERGY STORAGE IN SAUDI ARABIA
Mirza Rizwan Ali
M.Sc. Sustainable & Renewable Energy
Progress Presentation | April 2026
Aligned with Saudi Vision 2030
THE CHALLENGE
21%
of KSA energy consumed by industry
~100%
fossil fuel powered electricity
NET ZERO
by 2060 — Vision 2030 commitment
Industry needs a clean energy roadmap →
RESEARCH AIM
To develop a techno-economic optimization framework that identifies the
OPTIMAL
renewable energy + storage configuration for Saudi industrial facilities.
MINIMIZE COST
Lowest LCOE & NPC
MINIMIZE EMISSIONS
CO₂ reduction targets
MAINTAIN RELIABILITY
LPSP ≤ acceptable threshold
Three pillars of optimization
8 PAPERS REVIEWED ACROSS KSA & GLOBAL
LOCATIONS
NEOM
3 papers
Jubail
3 papers
Jeddah
3 papers
Dhahran
1 paper
+20 cities
1 paper
APPLICATIONS COVERED:
EV/H₂ Stations
Desalination
Carbon Capture
Residential
Rural Microgrids
Systematic Review
WHAT THE LITERATURE TELLS US
COST OF ENERGY (LCOE) Range Across Studies
KEY TAKEAWAYS
$0.07
Bangladesh rural
$0.13
Jubail (DAC)
$0.18
Jubail (Residential)
$0.20
Jeddah (EV/H₂)
$0.33
NEOM (H₂ stations)
$/kWh
PV + Wind + Battery = consistently optimal
100% renewable IS feasible in KSA
Larger loads → lower LCOE (economies of scale)
Flow batteries emerging for long-term storage
Jubail COE dropped from
$0.24
$0.18
just by scaling up load size
THE GAP IN CURRENT RESEARCH
WHAT EXISTS
Residential studies
Specialized loads (EV, H₂, DAC)
Single-objective optimization
Stand-alone systems
2019–2024 cost data
WHAT'S MISSING
Industrial load profiles
General manufacturing facilities
Multi-objective optimization
Grid-tied industrial systems
2026 updated component prices
MY PROJECT FILLS ALL FIVE GAPS
METHODOLOGY FRAMEWORK
How I'll Do It
INPUTS
Industrial load data (SEC/Modon)
KSA weather data (K.A.CARE + NASA)
2026 component costs
Vision 2030 policy targets
MODELING
Python / MATLAB
for Multi-Objective Analysis
OUTPUTS
NPC, LCOE, IRR
CO₂ reduction
Reliability (LPSP)
Pareto-optimal designs
Goes beyond ALL existing Saudi studies — multi-objective + industrial loads
8 SCENARIOS TO BE SIMULATED
S1: Grid Only
Baseline — 100% fossil
S2: PV + Grid
Solar supplement
S3: PV + Wind + Grid
Hybrid with grid backup
S4: PV + Battery + Grid
Solar with storage
S5: PV + Wind + Battery + Grid
Full hybrid + storage
S6: PV + Wind + Battery (Off-grid)
100% Renewable!
S7: PV + Wind + Battery + Hydrogen
Long-duration storage
S8: PV + Wind + Battery + Diesel
Hybrid with backup
Each scenario tested across multiple Saudi locations with sensitivity analysis
6-PHASE ROADMAP (24 WEEKS)
FOUNDATION
W1 – W3
DATA COLLECTION
W4 – W7
METHODOLOGY
W8 – W10
SIMULATION
W11 – W16
ANALYSIS
W17 – W20
DEFENSE
W21 – W24
Total duration: 24 weeks | Target completion: October 2026
WHY THIS MATTERS FOR KSA
50% renewable electricity by 2030
Net zero emissions by 2060
Industrial diversification under Vision 2030
MY PROJECT DELIVERS:
Practical optimization framework
Validated for Saudi industrial facilities
Real cost-benefit analysis
Multi-location coverage across KSA
شكراً | THANK YOU
Questions & Discussion Welcome
M.Sc. Sustainable & Renewable Energy | Progress Presentation | April 2026
- saudi-vision-2030
- renewable-energy
- industrial-electrification
- energy-storage
- lcoe
- sustainability
- green-hydrogen