Qualitative Assessment Methodology for Positive Energy District Planning Guidelines

Neumann, Hans-Martin; Garayo, Sergio Díaz de; Gaitani, Niki; Vettorato, Daniele; Aelenei, Laura; Borsboom, Judith; Etminan, Ghazal; Kozlowska, Anna; Reda, Francesco; Rose, Jørgen; Tuominen, Pekka

doi:10.1007/978-981-16-6269-0_42

“…However, the representation of all analysed district variants as one point on this FAR-to-PE balance diagram shows the connection with the building density and the target value derived from it. This correlation was also reported in similar studies [41] and comes as no surprise: The empirical relation between density and the possible PED balance can be also derived analytically: Based on a balance of energy demand and local renewable generation, the dependency on building density (FAR) is derived as follows:…”

Section: Figure 6 Illustration Of the Physical Difference Between Hig...supporting

confidence: 68%

“…This is because the energy demand correlates mostly with GFA, but the potential for local renewable energy generation is generally proportional to the size of the plot [15]. The relationship between district density and resulting energy balance is both empirically evident [41], and analytically derivable. A definition that is to be equally achievable in an urban context must therefore take this into account and refrain from a static target value.…”

Section: Ped Alpha Context:density and The Feasibility For Ped Distri...mentioning

confidence: 99%

A Quantitative PED Definition with Contextual Targets

Schneider¹,

Zelger²,

Sengl³

et al. 2023

Preprint

0

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This paper presents the goals and components of a quantitative energy balance assessment framework to define PEDs flexibly in three important contexts: the context of the district's density and RES potential, the context of a district's location, induced mobility and the context of the dis-trict's future environment and its decarbonized energy demand or supply. It starts by introducing the practical goals of this definition approach: achievable, yet sufficiently ambitious to be inline with Paris 2050 for most urban and rural Austrian district typologies. It goes on to identify the main design parts of the definition: system boundaries, balancing weights and balance targets and argue how they can be linked to the definition goals in detail. In particular we specify three levels of system boundaries and argue their individual necessity: operation, including everyday mobili-ty, including embodied energy and emissions. It argues that all three pillars of PEDs, energy effi-ciency, onsite renewables and energy flexibility can be assessed with the single metric of a prima-ry energy balance when using carefully designed, time-dependent conversion factors. Finally, it is discussed how balance targets can be interpreted as information and requirements from the sur-rounding energy system, which we identify as a "context factor". Three examples of such context factors, each corresponding to the balance target of one of the previously defined system bounda-ries operation, mobility and embodied emissions are presented: Density (as a context of opera-tion), sectoral energy balances and location (as a context for mobility) and an outlook of a person-al emission budgets (as a context for embodied emissions). Finally, the proposed definition framework is applied to seven distinct district typologies in Austria and discussed in terms of its design goals.

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“…The red line represents the proposed context factor density as modified target. This correlation was also reported in similar studies [41] and comes as no surprise: The empirical relation between density and the possible PED balance can be also derived analytically: Based on a balance of energy demand and local renewable generation, the dependency on building density (FAR) is derived as follows:…”

Section: Ped Alpha Context:density and The Feasibility For Ped Distri...supporting

confidence: 68%

“…This is because energy demands predominantly correlate with GFA, whereas potentials for local renewable energy generation generally are proportional to plot size [15]. The inverse proportionality between district density and achievable energy balance is both empirically evident [41], and analytically derivable. A definition that is to be comparably achievable in an urban context must therefore take this into account and refrain from a static target value.…”

Section: Ped Alpha Context:density and The Feasibility For Ped Distri...mentioning

confidence: 99%

A Quantitative Poisitive Energy District Definition with Contextual Targets

Schneider¹,

Zelger²,

Sengl³

et al. 2023

Preprint

1

0

View full text Add to dashboard Cite

This paper presents the goals and components of a quantitative energy balance assessment framework to define PEDs flexibly in three important contexts: the context of the district's density and RES potential, the context of a district's location, induced mobility and the context of the dis-trict's future environment and its decarbonized energy demand or supply. It starts by introducing the practical goals of this definition approach: achievable, yet sufficiently ambitious to be inline with Paris 2050 for most urban and rural Austrian district typologies. It goes on to identify the main design parts of the definition: system boundaries, balancing weights and balance targets and argue how they can be linked to the definition goals in detail. In particular we specify three levels of system boundaries and argue their individual necessity: operation, including everyday mobili-ty, including embodied energy and emissions. It argues that all three pillars of PEDs, energy effi-ciency, onsite renewables and energy flexibility can be assessed with the single metric of a prima-ry energy balance when using carefully designed, time-dependent conversion factors. Finally, it is discussed how balance targets can be interpreted as information and requirements from the sur-rounding energy system, which we identify as a "context factor". Three examples of such context factors, each corresponding to the balance target of one of the previously defined system bounda-ries operation, mobility and embodied emissions are presented: Density (as a context of opera-tion), sectoral energy balances and location (as a context for mobility) and an outlook of a person-al emission budgets (as a context for embodied emissions). Finally, the proposed definition framework is applied to seven distinct district typologies in Austria and discussed in terms of its design goals.

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“…They revealed that current PED research predominantly concentrates on innovations at the building level, such as zero energy buildings (ZEBs), intelligent buildings, energy efficiency, and renewable energy sources (RES). In another study, Neumann et al [5] employed 25 guidelines to structure their collection of opinions concerning spatial scale, target audience, and primary content. They created a series of keyword and topic clusters.…”

Section: Introductionmentioning

confidence: 99%

Review of natural language processing techniques for characterizing positive energy districts

Han,

Shah,

Zhang

2023

J. Phys.: Conf. Ser.

0

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The concept of Positive Energy Districts (PEDs) has emerged as a crucial aspect of endeavours aimed at accelerating the transition to zero carbon emissions and climate-neutral living spaces. The focus of research has shifted from energy-efficient individual buildings to entire districts, where the objective is to achieve a positive energy balance over a specific timeframe. The consensus on the conceptualization of a PED has been evolving and a standardized checklist for identifying and evaluating its constituent elements needs to be addressed. This study aims to develop a methodology for characterizing PEDs by leveraging natural language processing (NLP) techniques to model, extract, and map these elements. Furthermore, a review of state-of-the-art research papers is conducted to ascertain their contribution to assessing the effectiveness of NLP models. The findings indicate that NLP holds significant potential in modelling the majority of the identified elements across various domains. To establish a systematic framework for AI modelling, it is crucial to adopt approaches that integrate established and innovative techniques for PED characterization. Such an approach would enable a comprehensive and effective implementation of NLP within the context of PEDs, facilitating the creation of sustainable and resilient urban environments.

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Qualitative Assessment Methodology for Positive Energy District Planning Guidelines

Cited by 7 publications

References 5 publications

A Quantitative PED Definition with Contextual Targets

A Quantitative PED Definition with Contextual Targets

A Quantitative Poisitive Energy District Definition with Contextual Targets

Review of natural language processing techniques for characterizing positive energy districts

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