The multi-energy system co-planning of nearly zero-energy districts – Status-quo and future research potential

Heendeniya, Charitha Buddhika; Sumper, Andreas; Eicker, Ursula

doi:10.1016/j.apenergy.2020.114953

Cited by 60 publications

(12 citation statements)

References 205 publications

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“…Furthermore, it is in line with the methodology for determining the efficiency of the co-generation process in [2] and [3]. According to the national Working Group on Energy Balances (AGEB) [48] parameters for the alternative efficiencies are η th,alt = 0.80 and η el,alt = 0.40 11 .…”

Section: Supplementary Information Formentioning

confidence: 86%

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Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law

Braeuer¹,

Kleinebrahm²,

Naber³

et al. 2021

Preprint

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Involving residential actors in the energy transition is crucial for its success. Local energy generation, consumption and trading are identified as desirable forms of involvement, especially in energy communities. The potentials for energy communities in the residential building stock are high but are largely untapped in multi-family buildings. In many countries, rapidly evolving legal frameworks aim at overcoming related barriers, e.g. ownership structures, principalagent problems and system complexity. But academic literature is scarce regarding the technoeconomic and environmental implications of such complex frameworks. This paper develops a mixed-integer linear program (MILP) optimisation model for assessing the implementation of multi-energy systems in an energy community in multi-family buildings with a special distinction between investor and user; the model is applied to the German Tenant Electricity Law. Based on hourly demands from appliances, heating and electric vehicles, the optimal energy system layout and dispatch are determined. The results contain a rich set of performance indicators that demonstrate how the legal framework affects the technologies' interdependencies and economic viability of multi-energy system energy communities. Certain economic technology combinations may fail to support national emissions mitigation goals and lead to lock-ins in Europe's largest residential building stock. The subsidies do not lead to the utilisation of a battery storage. Despite this, self-sufficiency ratios of more than 90% are observable for systems with combined heat and power plants and heat pumps. Public CO 2 mitigation costs range between 147.5-272.8 e/t CO2 . Finally, the results show the strong influence of the heat demand on the system layout.

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Section: Supplementary Information Formentioning

confidence: 86%

“…Nevertheless, identifying the optimal size and dispatch for a system that considers multiple energy forms and their interactions requires large amounts of computational resources. Additionally, the temporal resolution influences the precision of the results, but a high resolution is computationally expensive [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law

Braeuer¹,

Kleinebrahm²,

Naber³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…These operational time-scale models, however, are not designed to explore the annual transformation pathways of the sustainable energy transition [26], [44], [45]. Finally, the development of multi-energy system models did not truly gain concerted attention until 2016 [46].…”

Section: A Existing Multi-energy System Modelsmentioning

confidence: 99%

A Hetero-functional Graph Structural Analysis of the American Multi-modal Energy System

Thompson¹,

Farid²

2022

Preprint

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As one of the most pressing challenges of the 21st century, global climate change demands a host of changes across four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system. Unfortunately, these four systems are often studied individually, and rarely together as integrated systems. Instead, holistic multienergy system models can serve to improve the understanding of these interdependent systems and guide policies that shape the systems as they evolve into the future. The NSF project entitled "American Multi-Modal Energy System Synthetic & Simulated Data (AMES-3D)" seeks to fill this void with an opensource, physically-informed, structural and behavioral machinelearning model of the AMES. To that end, this paper uses a GIS-data-driven, model-based system engineering approach to develop structural models of the American Multi-Modal Energy System (AMES). This paper produces and reports the heterofunctional incidence tensor, hetero-functional adjacency matrix, and the formal graph adjacency matrix in terms of their statistics. This work compares these four hetero-functional graph models across the states of New York (NY), California (CA), Texas (TX), and the United States of America (USA) as a whole. From the reported statistics, the paper finds that the geography and the sustainable energy policies of these states are deeply reflected in the structure of their multi-energy infrastructure systems and impact the full USA's structure.

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“…One of the main reasons for coupling infrastructures on district scale is that the synergies between them can drive energy reduction and reduce overall costs by shifting excess power from one energy carrier to another. This energy shift relies on sophisticated control strategies, which requires time series simulations in the design phase [59].…”

Section: Comparison Of Calculation Timementioning

confidence: 99%

Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations

et al. 2020

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The increasing complexity of the design and operation evaluation process of multi-energy grids (MEGs) requires tools for the coupled simulation of power, gas and district heating grids. In this work, we analyze a number of applicable tools and find that most of them do not allow coupling of infrastructures, oversimplify the grid model or are based on inaccessible source code. We introduce the open source piping grid simulation tool pandapipes that—in interaction with pandapower—addresses three crucial criteria: clear data structure, adaptable MEG model setup and performance. In an introduction to pandapipes, we illustrate how it fulfills these criteria through its internal structure and demonstrate how it performs in comparison to STANET®. Then, we show two case studies that have been performed with pandapipes already. The first case study demonstrates a peak shaving strategy as an interaction of a local electricity and district heating grid in a small neighborhood. The second case study analyzes the potential of a power-to-gas device to provide flexibility in a power grid while considering gas grid constraints. These cases show the importance of performing coupled simulations for the design and analysis of future energy infrastructures, as well as why the software should fulfill the three criteria.

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The multi-energy system co-planning of nearly zero-energy districts – Status-quo and future research potential

Cited by 60 publications

References 205 publications

Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law

Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law

A Hetero-functional Graph Structural Analysis of the American Multi-modal Energy System

Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations

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