Techno-economic optimisation of long-term energy supply strategy of Vienna city

Horak, Daniel; Hainoun, A.; Neumann, Hans-Martin

doi:10.1016/j.enpol.2021.112554

Cited by 10 publications

(7 citation statements)

References 4 publications

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“…These services require data on various levels of spatial and temporal granularity. For instance, city-level policy-making may utilize annual data on spatially aggregated energy demand sectors [12], while time series energy demand prediction on the building level [3] and district scale energy system modeling [13] require more fine-grained data on the spatial and temporal scales. Different levels of granularity can also be attributed to the aspects of energy demand and supply themselves, as urban energy modeling frameworks operate on varying levels of detail concerning energy supply technology representations [2].…”

Section: Data Architectures and Management For Urban Energy Modelingmentioning

confidence: 99%

A Data-Driven Design Approach of an Energy Data Exchange Platform

Horak,

Lorenzen,

Kurzidim

et al. 2024

Int Sustain Ener Conf Proc

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The current digitalization of energy systems, particularly in urban contexts, lags behind the requirements set by urban energy system modelling, energy management, the development of digital twins, and other data-driven services. Additionally, existing energy data lacks standardized formats and coherence, hindering its full utilization. To address this challenge, this paper introduces a use case-driven design approach tailored to reflect the requirements for data integration and privacy set by city stakeholders. The objective is to design a data exchange platform (DEP) capable of serving a diverse range of use cases. This platform will facilitate the integrated utilization of energy data in energy management systems, digital twin applications, and other activities aimed at extracting valuable insights. These efforts are specifically designed to support decision-making processes of public stakeholders, private investors, and service providers. Consequently, the platform holds potential to attract additional investments in both the clean energy transition and the digitalization of energy infrastructure.

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Section: Data Architectures and Management For Urban Energy Modelingmentioning

confidence: 99%

A Data-Driven Design Approach of an Energy Data Exchange Platform

Horak,

Lorenzen,

Kurzidim

et al. 2024

Int Sustain Ener Conf Proc

Self Cite

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“…At the same time, this plays a vital role in helping to achieve the "double-carbon" goals in the whole energy supply chain [3][4][5]. In order to carry out the green and "double-carbon" transformations in the energy industries, in addition to national policy supports and sufficient funds, it is necessary to accurately assess the "double-carbon" and environmental-protection situations of each node in the energy supply chain so as to put forward the transformation strategy [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Performance Evaluation of Chinese Energy Supply Chain under “Double-Carbon” Goals Based on AHP and Three-Stage DEA

Huang

Liu²,

Sun

et al. 2022

Sustainability

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In 2020, China put forward the goals of “peak carbon dioxide emissions” and “carbon neutrality” (“double-carbon”) and it is urgent for the energy industry to achieve green transformation. Aiming at the rigid requirements of the carbon-peaking and carbon-neutrality goals (“double-carbon”), this study established a performance evaluation index system for an energy supply chain of a four-tier structure based on the “double-carbon” goals, calculating its weight by the analytic hierarchy process (AHP). On this basis, a three-stage data envelopment analysis (DEA) evaluation model was established to evaluate the performance of the energy supply chain in 2010–2019. According to the three-stage DEA evaluation mode, the initial input–output efficiency value of the energy supply chain was calculated by the DEA-BCC (extended by Banker, Charnes and Cooper) model and DEA-CCR (proposed by Charnes, Cooper and Rhodes) model and the influence of environmental noise was eliminated by stochastic frontier analysis (SFA) regression; we then obtained the adjusted efficiency value for the energy supply chain. At the same time, taking 2015 as the dividing point, the advantages and disadvantages between the traditional energy supply chain and new energy supply chain were analyzed and summarized. Further analysis and suggestions are provided to consumers, enterprises and countries from four aspects: energy supply, energy production and processing, energy transmission and distribution and energy consumption.

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“…Local resources, demand patterns, surrounding infrastructure and possibilities for the change to building structures are unique for each city [11]. Nevertheless, urban regions are mostly faced with common challenges and constraints in terms of high population density and resourceintensive and complex lifestyles, which are the main obstacles for achieving sustainable urban development and coping with ever-increasing demands on several resources and commodities, including energy [12,13].…”

Section: Introductionmentioning

confidence: 99%

Smarter Together: Monitoring and Evaluation of Integrated Building Solutions for Low-Energy Districts of Lighthouse Cities Lyon, Munich, and Vienna

et al. 2022

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The Smarter Together project implemented in the three lighthouse cities (LHCs) of Lyon, Munich, and Vienna a set of co-created and integrated smart solutions for a better life in urban districts. The implemented solutions have been monitored using a novel integrated monitoring methodology (IMM) following a co-creation process involving key stakeholders of the LHCs. With focus on holistic building refurbishment and the integration of onsite renewable energy supply (RES), the three LHCs refurbished around 117,497 m2 of floor area and constructed 12,446 m2 of new floor area. They implemented around 833 kWp of PV, 35 kW of solar thermal and 13,122 kW of geothermal heating systems. Altogether, the realized solutions for low-energy districts in the three LHCs will annually save around 4000 MWh/a, generate 1145 MWh/a of RES and reduce around 1496 tCO2/a of CO2 emissions, corresponding to specific values of 37.6 kWh/m2.a and 11.9 kg-CO2/m2.a for final energy saving and CO2 emission reductions, respectively. KPI-based monitoring and evaluation of the implemented solutions provides qualitative and quantitative insight, experience and lessons learned to optimize the process of implementation and deployment of integrated solutions for holistic building refurbishment, and thus contribute to advancing sustainable urban transformation at the district level for both LHCs and FCs.

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Techno-economic optimisation of long-term energy supply strategy of Vienna city

Cited by 10 publications

References 4 publications

A Data-Driven Design Approach of an Energy Data Exchange Platform

A Data-Driven Design Approach of an Energy Data Exchange Platform

A Comprehensive Performance Evaluation of Chinese Energy Supply Chain under “Double-Carbon” Goals Based on AHP and Three-Stage DEA

Smarter Together: Monitoring and Evaluation of Integrated Building Solutions for Low-Energy Districts of Lighthouse Cities Lyon, Munich, and Vienna

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