Sustainable energy system for achieving novel carbon neutral energy communities

Risultati finali

Description of social, economic & regulatory factors

D3.1 refers to task 3.1. The aim of the deliverable is to present the analysis of the socio-economic, governance and regulatory obstacles that hinder the development and operation of autarkic local integrated energy systems in society. Verified based on identifying all relevant obstacles for creating energy communities.

Report on models and specification of different modii

D6.1 refers to task 6.1. The deliverable reports the different modeling concepts for energy management of autarkic local energy communities and effect to prolong the operation of micro-grids under energy-constrained conditions. It’s verified by the successful development of simulation models for the near autarkic operation of micro-grids under different operational conditions.

Description of criteria for attractive and viable citizen-centered business models

D3.4 refers to task 3.3. The aim of the deliverable is to elaborate measures and conditions to form local economically attractive citizen-centered business models and cases for local investments in smart integrated energy systems. Verified by the successful development of conditions for citizen-centered business models.

Socio-economic, governance and regulatory conditions

D3.2 refers to task 3.2. The deliverable presents the details of the essential conditions for achieving socio-economic development and citizen engagement in more autarkic energy systems, and specifically for establishing new organizational configuration for the demonstrator sites. It’s verified based on clearly mapping the necessary socio-economic, regulatory and governance settings for creating local energy communities.

Comprehensive analytic framework

D3.3 refers to task 3.2. The deliverable aims to present the comprehensive analytic framework developed that includes all socio-economic criteria applicable for economically interesting citizen-centered autocratic integrated energy systems. It’s verified by mapping and meeting relevant socio-economic factors and criteria to form a more autarkic local energy system.

Models and controls for electric to heat systems

D2.2 refers to task 2.2. The aim of the deliverable is to describe the models, smart control, aggregation and scheduled operation of electricity to heat units (heat pumps, electric boilers) to provide energy flexibility taking into account storage management, local demand response and end-user preferences and comforts for increasing the self-consumption from renewables in the local grids. Verified by successful models and control scheme development for E2H systems.

System framework and demand response schemes for different demonstrators

D21 refers to Task 21 The aim of the deliverable is to present a novel crossdomain system framework for integrated energy systems for establishing local energy communities based on the demonstrators in the four countries Based on this system architecture suitable use cases for the various pilot activities are defined for enabling suitable local demand response DSM schemes and system controls to unlock energy flexibility and energy storage to smarten the electricity grids to increase the hosting capacity of renewables Verification on conformance to the system design and requirements to meet the objectives of the energy communities of the various pilot sites

Local energy system infrastructure and demands

D71 refers to tasks 71 and 72 The deliverable reports the detailed information about the energy installations configurations data analytics and profiles of the various energy carriers and systems from the Polish pilot sites The deliverable is verified by the successful measurements and reporting of pilot site system infrastructures

Categorization of types of consumers

D3.5 refers to task 3.4. The deliverable aims to describe the conditions for social acceptability and specifically on organizational structure and its governance in autocratic local integrated energy system setup. Verified by the successful development of the organizational configurations and strategies to enhance citizen involvement and their interests.

Models and control schemes for smart integration of energy carriers

D2.4 refers to task 2.3, 2.4 and 2.5. The deliverable presents the models and control schemes for the smart integration of EV charging, water pumping, wastewater management, solar PV-BESS systems etc. to harness energy flexibility from community energy systems and grids. Smart energy management for economic scheduling of resources and suitable distributed and hierarchical control schemes are applied for effecting voltage and frequency support services from different energy carriers in a local integrated framework (individual buildings and community-scale hybrid multi-energy systems/energy clusters). Verified by successful models and control scheme development for smart integration of multi-carrier energy units.AAU is only formally lead beneficiary for this deliverable, but in practise IITB will be responsible.

SUSTENANCE Press Release

D93 refers to task 94 The aim of the deliverable is to report the most important projects results and innovations based on the pilot activities and replication It is disseminated through print and online platforms targeted to the public and stakeholders The deliverable is verified through the indicators and measures listed in Table 24

SUSTENANCE website & social media presence

D92 refers to Task 91 The aim of the deliverable is to establish an attractive project website to the public that will report all nonconfidential and non IPsensitive results deliverables and accomplishments from the project For internal use the access and sharing of relevant resources and reports for the consortium members a private webspace is also created The communication channels through social media platforms are also initiated Verification of the deliverable are realised through the various measures and indicators listed in Table 24

Pubblicazioni

Short-term heat demand prediction using deep learning for decentralized power-to-heat solutions

Autori: P. Ponnaganti, J. R. Pillai, B. Bak-Jensen
Pubblicato in: 2023 IEEE PES GTD International Conference and Exposition (GTD), 2023, Pagina/e 11-15
Editore: IEEE
DOI: 10.1109/gtd49768.2023.00029

Flexibility provisions through local energy communities: A review

Autori: Pavani Ponnaganti, Rakesh Sinha, Jayakrishnan R. Pillai, Birgitte Bak-Jensen
Pubblicato in: Next Energy, 2023
Editore: Science Direct
DOI: 10.1016/j.nxener.2023.100022

Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities.

Autori: Bahman Ahmadi; Aditya Pappu; Gerwin Hoogsteen; Johann L. Hurink
Pubblicato in: 2022 57th International Universities Power Engineering Conference (UPEC), 2022
Editore: IEEE
DOI: 10.1109/upec55022.2022.9917732

Distributed Co-operative Demand Side Management for Energy Communities

Autori: Aditya Pappu; Gerwin Hoogsteen; Johann L. Hurink
Pubblicato in: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1 - 5, Numero 3, 2022, ISBN 978-1-6654-8032-1
Editore: IEEE
DOI: 10.1109/isgt-europe54678.2022.9960572

Modelling and validation of latent heat storage system for demand response applications

Autori: R. Sinha, P. Ponnaganti, B. Bak-Jensen, J. R. Pillai and C. Bojesen
Pubblicato in: Publication in conference proceedings / workshop, 2023, Pagina/e 1120-1124
Editore: IEEE
DOI: 10.1049/icp.2023.0657

Risultati finali

Pubblicazioni

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