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Demand Management and Flexibility Aggregation Engineering — DR, aggregators, dynamic pricing.

Online master's programme of 1,900 hours in demand-side management and flexibility aggregation engineering. 12 modules covering flexible loads, aggregator business models, flexibility markets, optimisation and control, OpenADR and IEEE 2030.5 communications, measurement and verification, and Directive (EU) 2019/944, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Characterise flexible loads and their potential.

02

Design business models for demand aggregation.

03

Analyse the flexibility markets and services available.

04

Optimise portfolios of distributed resources.

05

Apply communication protocols for demand response.

06

Measure and verify the flexibility delivered.

07

Interpret the regulatory framework for flexibility.

Profile

Who it's for

  • Energy flexibility analysts looking to deepen their technical expertise.
  • Aggregation portfolio managers.
  • Distributed energy resource engineers.
  • Demand-side regulatory consultants.
  • Energy optimisation specialists.
  • Virtual power plant product managers.
  • Engineering or science graduates aiming to move into energy retail.
Standards & tools

What you'll work with

  • Directive (EU) 2019/944 (internal electricity market, aggregation and the active consumer)
  • Regulation (EU) 2019/943 (internal market for electricity)
  • Regulation (EU) 2017/2195 (EB GL) (guideline on electricity balancing)
  • Regulation (EU) 2016/1388 (demand connection network code)
  • Law 24/2013 on the Electricity Sector (Spanish electricity sector act)
  • Royal Decree 244/2019 (self-consumption of electricity)
  • IEEE 2030.5 (smart energy profile for distributed resources)
  • OpenADR 2.0b (automated demand response protocol)
  • Python (Pyomo, pandas)
  • MATLAB
  • EnergyPlus
  • OpenADR reference VTN
  • Power BI
Syllabus

12 modules · 1900 h

  1. 1.1Concept and value of flexibility
  2. 1.2Distributed energy resources
  3. 1.3Industrial, commercial and residential controllable demand
  4. 1.4Load shifting, curtailment and interruptibility
  5. 1.5Implicit and explicit flexibility
  6. 1.6Benefits for the system
  7. 1.7Barriers to participation
  8. 1.8Flexibility potential in Spain
  9. 1.9European flexibility strategy
  10. 1.10Case study: flexibility of an industrial estate
  1. 2.1HVAC and heat pumps
  2. 2.2Domestic hot water
  3. 2.3Electric vehicles and managed charging
  4. 2.4Flexible industrial processes
  5. 2.5Industrial refrigeration and thermal storage
  6. 2.6Water pumping
  7. 2.7Behind-the-meter batteries
  8. 2.8Electrolysers as flexible loads
  9. 2.9Physical load models
  10. 2.10Laboratory: thermal model of a building as a flexible resource
  1. 3.1The independent aggregator
  2. 3.2Aggregation of small consumers
  3. 3.3Virtual power plants
  4. 3.4Customer contracts
  5. 3.5Benefit sharing
  6. 3.6Relationship with the supplier
  7. 3.7International business models
  8. 3.8Aggregators in Spain
  9. 3.9Aggregator risks
  10. 3.10Case study: business plan for an aggregator
  1. 4.1Balancing services for demand
  2. 4.2Active demand response service
  3. 4.3Capacity markets and demand
  4. 4.4Local flexibility markets
  5. 4.5NODES, Piclo and GOPACS platforms
  6. 4.6Services to the distribution system operator
  7. 4.7Prequalification requirements
  8. 4.8Baseline measurement
  9. 4.9Non-compliance penalties
  10. 4.10Practical exercise: baseline calculation and verification of an event
  1. 5.1Time-of-use tariffs
  2. 5.2Dynamic prices and PVPC
  3. 5.3Capacity charges and their effect
  4. 5.4Time-differentiated network tolls
  5. 5.5Electric vehicle tariffs
  6. 5.6Consumer response to price
  7. 5.7Tariff experiments
  8. 5.8Tariff fairness between consumers
  9. 5.9Design of future tariffs
  10. 5.10Workshop: design of a dynamic tariff for households
  1. 6.1Optimisation of flexible portfolios
  2. 6.2Model predictive control
  3. 6.3Mixed-integer programming
  4. 6.4Stochastic optimisation with forecasting
  5. 6.5Distributed and hierarchical control
  6. 6.6Reinforcement learning
  7. 6.7Real-time dispatch
  8. 6.8Respecting user comfort
  9. 6.9Grid constraints
  10. 6.10Laboratory: portfolio of batteries and heat pumps
  1. 7.1OpenADR 2.0 protocols
  2. 7.2IEEE 2030.5 standard
  3. 7.3EEBUS and S2
  4. 7.4OCPP for flexible charging
  5. 7.5Smart meters and consumption data
  6. 7.6Gateways and home energy management systems
  7. 7.7Device interoperability
  8. 7.8Cybersecurity of distributed resources
  9. 7.9Data and third-party access
  10. 7.10Practical exercise: integrating a device via OpenADR
  1. 8.1Aggregated demand forecasting
  2. 8.2Forecasting of flexible availability
  3. 8.3Measurement and verification
  4. 8.4Baseline methodologies
  5. 8.5Meter data and its quality
  6. 8.6Savings estimation
  7. 8.7IPMVP verification protocol
  8. 8.8Analysis tools
  9. 8.9Auditing of results
  10. 8.10Laboratory: forecasting available flexibility with meter data
  1. 9.1Congestion in distribution
  2. 9.2TSO–DSO coordination
  3. 9.3Distribution system operator flexibility plans
  4. 9.4Procurement of flexibility
  5. 9.5Alternatives to grid reinforcement
  6. 9.6Flexible grid connections
  7. 9.7Voltage management with distributed resources
  8. 9.8European distribution system operator experiences
  9. 9.9Regulation of flexibility
  10. 9.10Case study: valuing flexibility against grid reinforcement
  1. 10.1Directive (EU) 2019/944 and aggregation
  2. 10.2Network codes for demand response
  3. 10.3Electricity Sector Act and the active consumer
  4. 10.4REE operating procedures
  5. 10.5CNMC circulars
  6. 10.6Consumer protection
  7. 10.7The 2024 market reform
  8. 10.8Network code on demand response
  9. 10.9Energy communities and flexibility
  10. 10.10Workshop: regulatory analysis of an aggregator's participation
  1. 11.1Demand response pilots
  2. 11.2Aggregated residential flexibility
  3. 11.3Industrial process flexibility
  4. 11.4Electric vehicle fleets
  5. 11.5Commercial virtual power plants
  6. 11.6Evaluation of results
  7. 11.7Commercial scale-up of pilots
  8. 11.8Consumer acceptance
  9. 11.9Lessons learned from pilots
  10. 11.10Case study: analysis of a European flexibility pilot
  1. 12.1Definition of the flexible resource
  2. 12.2Characterisation and modelling
  3. 12.3Selection of services and markets
  4. 12.4Portfolio optimisation
  5. 12.5Economic analysis of the resource
  6. 12.6Applicable regulatory framework
  7. 12.7Implementation plan
  8. 12.8Conclusions and future work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

The programme is delivered 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so it can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (Pyomo, pandas), MATLAB, EnergyPlus, an OpenADR reference VTN and Power BI, in free, academic or evaluation versions. Work is based on real procedures for optimising flexible portfolios, calculating consumption baselines and running demand response pilots. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Directive (EU) 2019/944, Regulation (EU) 2019/943, Regulation (EU) 2017/2195 (EB GL), Regulation (EU) 2016/1388, Law 24/2013 on the Electricity Sector, Royal Decree 244/2019, IEEE 2030.5, OpenADR 2.0b.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Directive (EU) 2019/944, Regulation (EU) 2019/943 and Regulation (EU) 2017/2195 (EB GL) applied to real cases, not as a theoretical annex.
Industry software:Python (Pyomo, pandas), MATLAB, EnergyPlus, OpenADR reference VTN and Power BI, in free, academic or evaluation versions.
Master's Thesis with defence:A complete flexible-resource project, from characterisation and portfolio optimisation to economic analysis and implementation plan, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Characterise the flexible resource
Model the flexible loads, such as a building's thermal behaviour, as a resource.
Calculate the baseline
Compute the consumption baseline and verify a flexibility event.
Optimise the portfolio
Optimise a portfolio of batteries and heat pumps under grid constraints.
Integrate via OpenADR
Connect a device to the aggregation platform using OpenADR.
Master's Thesis
Present the full flexibility project with its economic and regulatory analysis, defended before a panel.
Career opportunities

Where this takes you

Energy flexibility analystAggregation portfolio managerDistributed energy resources engineerDemand-side regulatory consultantEnergy optimisation specialistVirtual power plant product manager
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Python (Pyomo, pandas), MATLAB, EnergyPlus, OpenADR reference VTN and Power BI, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme software, and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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