Postgraduate Diploma in Governance and Dynamic Allocation
Online 800-hour Postgraduate Diploma in Governance and Dynamic Allocation. 8 modules covering Royal Decree 244/2019 (self-consumption), Ministerial Order TED/1247/2021 (variable allocation coefficients) and Python (pandas, PuLP). Dedicated tutor and open enrolment.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand the framework for collective self-consumption and energy communities.
Calculate fixed and variable allocation coefficients.
Optimise the dynamic allocation of energy among participants.
Design participatory governance models for energy communities.
Manage the economics and settlement of the community.
Select management platforms that comply with data protection.
Propose advanced services such as flexibility, mobility or shared storage.
Who it's for
- Energy community manager who wants to specialise in Governance and Dynamic Allocation.
- Energy data analyst who wants to specialise in Governance and Dynamic Allocation.
- Energy governance consultant who wants to specialise in Governance and Dynamic Allocation.
- Local community facilitator who wants to specialise in Governance and Dynamic Allocation.
- Energy platform developer who wants to specialise in Governance and Dynamic Allocation.
- Municipal energy officer who wants to specialise in Governance and Dynamic Allocation.
- Engineering or science graduates seeking to enter energy communities.
What you'll work with
- Royal Decree 244/2019 (self-consumption)
- Ministerial Order TED/1247/2021 (variable allocation coefficients)
- Directive (EU) 2018/2001 (renewable energy communities)
- Directive (EU) 2019/944 (citizen energy communities)
- Regulation (EU) 2016/679 (GDPR)
- Royal Decree 1110/2007 (metering points)
8 modules · 800 h
1.1Self-consumption modalities under RD 244/20191.2Collective self-consumption and shared network proximity1.3Distance and proximity criteria1.4Simplified compensation of surplus energy1.5Role of the self-consumption manager1.6Metering requirements1.7Procedures with the distribution company1.8Regulatory developments in self-consumption1.9Market data in Spain1.10Workshop: setting up collective self-consumption in a building
2.1Fixed allocation coefficients2.2Variable hourly allocation coefficients2.3Ministerial Order TED/1247/2021 and allocation files2.4Fairness criteria in allocation2.5Allocation by investment versus allocation by consumption2.6Unconsumed surplus energy2.7Format and communication of coefficients2.8Common errors in allocation2.9Economic impact of allocation2.10Practical: calculating hourly coefficients for twelve participants
3.1The concept of dynamic allocation3.2Forecasting generation and consumption3.3Optimising shared self-consumption3.4Linear programming for allocation3.5Allocation with shared storage3.6Game theory and the Shapley value3.7Fair allocation and acceptability3.8Simulating participation scenarios3.9Calculation tools3.10Laboratory: optimising coefficients with Python
4.1Renewable and citizen energy communities4.2Principles of open and voluntary participation4.3Effective control by members4.4Legal forms: cooperative, association and company4.5Articles of association and governing bodies4.6Decision-making and voting rights4.7Joining and leaving the community4.8Conflict resolution4.9Transparency and accountability4.10Case study: drafting the articles of association of an energy community
5.1Funding models for installations5.2Member fees and contributions5.3Distribution of profits and savings5.4Accounting and taxation of the community5.5Surplus management and marketing5.6Agreements with energy retailers5.7Public aid for energy communities5.8Profitability analysis per member5.9Inclusion of vulnerable households5.10Practical: economic model for distribution among members
6.1Access to meter data via Datadis6.2Community management platforms6.3Visualisation for members6.4Protection of personal data6.5Generation monitoring6.6Internal invoicing6.7Participation applications6.8Interoperability with distribution companies6.9Signals for shifting consumption6.10Laboratory: analysing load curves from Datadis
7.1Community storage7.2Shared electric vehicle charging7.3Flexibility aggregation7.4Demand response in the community7.5Energy efficiency and retrofitting7.6Thermal communities7.7Tackling energy poverty7.8Scaling and networks of communities7.9European success stories7.10Case study: integrating a shared battery into the community
8.1Analysis of the scope and participants8.2Technical design of the installation8.3Governance model8.4Dynamic allocation strategy8.5Economic and financial model8.6Data and platform plan8.7Establishment and procedures plan8.8Impact indicators8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas, PuLP), advanced Excel, Power BI, PVGIS, in free, academic or evaluation versions. Tests are studied using real procedures for calculating hourly allocation coefficients, simulating dynamic allocation, and drafting the articles of association of energy communities. Assessment is continuous across each module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand the framework for collective self-consumption and energy communities.
Calculate fixed and variable allocation coefficients.
Optimise the dynamic allocation of energy among participants.
Design participatory governance models for energy communities.
Manage the economics and settlement of the community.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme comprises 800 hours in total, spread over 6 to 8 months. That is an average of between 10 and 15 hours per week, compatible with full-time employment.
You will work with Python (pandas, PuLP), advanced Excel, Power BI and PVGIS. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An SEIUM own diploma upon passing the continuous assessment and the integrating project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or diploma in the same area can be credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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