Digital Twin for Accelerating Sustainability in Positive Energy District: A Review of Simulation Tools and Applications

Zhang, Xingxing; Shen, Jingchun; Saini, Puneet; Lovati, Marco; Han, Mengjie; Huang, Pei; Huang, Zhihua

doi:10.3389/frsc.2021.663269

Cited by 35 publications

(18 citation statements)

References 18 publications

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“…Based on the above, the first approach is followed and the equality constraints ( 4) and ( 5) are converted into inequality constraints (25) and (26), respectively:…”

Section: Results and Validation Use Case Descriptionmentioning

confidence: 99%

“…In electricity markets, DTs are promising solutions for sustainability, control of energy assets, demand-side management, control of energy assets, reliable energy distribution, and monitoring of energy grid operations [25]. Danilczyk et al [26] proposed a DT to address security issues and detect potential failures in a microgrid, such as instabilities and failures in power distribution, in a timely manner.…”

Section: Consumer Digital Twinmentioning

confidence: 99%

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Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

et al. 2023

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The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. The integration of Internet of Things (IoT) in Demand Response (DR) enables the transformation of energy flexibility, originated by electricity consumers/prosumers, into a valuable DER asset, thus placing them at the center of the electricity market. In this paper, it is shown how Local Energy Markets (LEM) act as a catalyst by providing a digital platform where the prosumers’ energy needs and offerings can be efficiently settled locally while minimizing the grid interaction. This paper showcases that the IoT technology, which enables control and coordination of numerous devices, further unleashes the flexibility potential of the distribution grid, offered as an energy service both to the LEM participants as well as the external grid. This is achieved by orchestrating the IoT devices through a Consumer Digital Twin (CDT), which facilitates the optimal adjustment of this flexibility according to the consumers’ thermal comfort level constraints and preferences. An integrated LEM-CDT platform is introduced, which comprises an optimal energy scheduler, accounts for the Renewable Energy System (RES) uncertainty, errors in load forecasting, Day-Ahead Market (DAM) feed in/out the tariff, and a fair price settling mechanism while considering user preferences. The results prove that IoT-enabled consumers’ participation in the energy markets through LEM is flexible, cost-efficient, and adaptive to the consumers’ comfort level while promoting both energy transition goals and social welfare. In particular, the paper showcases that the proposed algorithm increases the profits of LEM participants, lowers the corresponding operating costs, addresses efficiently the stochasticity of both energy demand and generation, and requires minimal computational resources.

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“…Based on the above, the first approach is followed and the equality constraints ( 4) and ( 5) are converted into inequality constraints (25) and (26), respectively:…”

Section: Results and Validation Use Case Descriptionmentioning

confidence: 99%

Section: Consumer Digital Twinmentioning

confidence: 99%

Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

et al. 2023

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“…The CNS model, developed in Freer et al (2021), is a carbonefficient digital twin of the UK's industrial freight transport network for cargo and tanker transportation, which has been used to model BECCS supply chains in a macro-energy system analysis. A digital twin is a virtual representation of assets or networks that allows for the simulation of processes or interactions within a virtual version of the assets or networks to allow for system optimization or learning (Zhang et al, 2021). The CNS model simulates and calculates the spatial explicit supply chain emissions of specific BECCS supply chains to generate high spatial resolution carbon performance heatmaps for the UK.…”

Section: The Carbon Navigation System Modelmentioning

confidence: 99%

Putting Bioenergy With Carbon Capture and Storage in a Spatial Context: What Should Go Where?

et al. 2022

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This paper explores the implications of siting a bioenergy with carbon capture and storage (BECCS) facility to carbon emission performances for three case-study supply chains using the Carbon Navigation System (CNS) model. The three case-study supply chains are a wheat straw derived BECCS-power, a municipal solid waste derived BECCS-waste-to-energy and a sawmill residue derived BECCS-hydrogen. A BECCS facility needs to be carefully sited, taking into consideration its local low carbon infrastructure, available biomass and geography for successful deployment and achieving a favorable net-negative carbon balance. On average, across the three supply chains a 10 km shift in the siting of the BECCS facility results in an 8.6–13.1% increase in spatially explicit supply chain emissions. BECCS facilities producing low purity CO2 at high yields have lower spatial emissions when located within the industrial clusters, while those producing high purity CO2 at low yields perform better outside the clusters. A map is also generated identifying which of the three modeled supply chains delivers the lowest spatially explicit supply chain emission options for any given area of the UK at a 1 MtCO2/yr capture scale.

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“…P2P schemes could be optimized by the use of digital twins that facilitate the sharing of locally produced energy [189]. Digital twins are digital models, based on big data in real time, which could optimize the functioning of the PEDs.…”

mentioning

confidence: 99%

“…Digital twins are digital models, based on big data in real time, which could optimize the functioning of the PEDs. Zhang et al [189] explore the potential of digital twins to enhance sustainability in PEDs. The sensors acquire information (i.e., occupancy, carbon footprint and thermophysical parameters) which are reworked to monitor indoor air quality, energy balance, costs, etc.…”

mentioning

confidence: 99%

Environmental Sustainability Approaches and Positive Energy Districts: A Literature Review

et al. 2021

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During the last decade, increasing attention has been paid to the emerging concept of Positive Energy Districts (PED) with the aim of pushing the transition to clean energy, but further research efforts are needed to identify design approaches optimized from the point of view of sustainable development. In this context, this literature review is placed, with a specific focus on environmental sustainability within innovative and eco-sustainable districts. The findings show that some sustainability aspects such as sustainable food, urban heat islands mitigation and co-impacts, e.g., green gentrification, are not adequately assessed, while fragmented thinking limits the potential of circularity. In this regard, targeted strategies should be developed. On the other hand, the Key Performance Indicators framework needs some integrations. In this direction, indicators were suggested, among those defined in the Sustainable Development Agenda, the main European standards and initiatives and the relevant literature experiences. Future outlooks should be directed towards: the harmonization of the Life Cycle Assessment in PEDs with reference to modeling assumptions and analysis of multiple impacts; the development of dynamic environmental analyses taking into account the long-term uncertainty due to climate change, data availability and energy decarbonization; the combination of Life Cycle Assessment and Key Performance Indicators based techniques, from a holistic thinking perspective, for a comprehensive design environment and the analysis of the contribution of energy flexibility approaches on the environmental impact of a project.

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Digital Twin for Accelerating Sustainability in Positive Energy District: A Review of Simulation Tools and Applications

Cited by 35 publications

References 18 publications

Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints

Putting Bioenergy With Carbon Capture and Storage in a Spatial Context: What Should Go Where?

Environmental Sustainability Approaches and Positive Energy Districts: A Literature Review

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