D4.4 - Report on developed methodologies and models for techno-economic modelling of PEDs and the transition towards their realisation

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Casamassima, L., Akhatova, A., Bruck, A., Arslangulova, B., Kranzl, L. and Galanakis, K. ORCID: 0000-0002-1320-2475, 2022. D4.4 - Report on developed methodologies and models for techno-economic modelling of PEDs and the transition towards their realisation. Smart‐BEEjS Consortium.

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Abstract

Executive Summary:

In the light of urgent need for decarbonisation of the building sector, techno-economic modelling of energy systems is an essential part of the planning process of urban development. Positive Energy Districts (PEDs) should contribute to this transformation towards less carbon-intensive and more energy independent urban areas. Therefore, this report presents the techno-economic models that have been developed throughout the Smart-BEEjS project to determine the energy infrastructure required to transform current districts into PEDs.

This report reviews the existing models that focus on the district and neighborhood energy modelling (Section 2). The literature emphasises that existing models are not sufficient for PED planning, as PED analysis requires a large diversity of data inputs and have very specific modelling requirements. Moreover, it is important to further advance an integrated systems approach that brings together technoeconomic and social aspects with sufficient detail.

Four modelling approaches address four different sectors of the PED's energy infrastructure that needsto be included in the planning of the transition from exiting districts to PEDs. The electricity based system, including local renewable energy generation and electricity-based heating and cooling is covered by a mixed integer linear programming approach to guarantee an optimal technology portfolio while ensuring a positive energy balance (Section 3.1). The heating and cooling system is focusing on district solutions such as the 4th generation district heating/cooling with a mathematical approach (Section 3.2). The energy efficiency uptake of the building stock is addressed by agent based modeling (Section 3.3). Finally, the electric vehicle related charging infrastructure is modelled using statistics on real data (Section 3.4). Furthermore, as sector coupling is highly important these days, the interconnections of the presented models are drawn (Section 3.5). The models include important social factors such as affordability, inclusiveness and energy justice that is often not the focus of mainstream techno-economic models. As affordability, inclusiveness and energy justice are cornerstones of the PED concept, the models aim to address those values.

The combined model can holistically evaluate what energy infrastructure is needed to transition from current districts to high-performance PEDs.

Item Type:

Research report for external body

Description:

Commissioning Body: Smart-BEEjS, Horizon2020 Project.

Creators:

Casamassima, L., Akhatova, A., Bruck, A., Arslangulova, B., Kranzl, L. and Galanakis, K.

Publisher:

Smart‐BEEjS Consortium

Date:

30 September 2022

Identifiers: