Self-consumption and self-sufficiency of the Swiss residential stock: Building archetypes for simulation of positive energy districts
スイスの住宅ストックの自己消費と自給率：ポジティブ・エネルギー・ディストリクトのシミュレーションのための建物アーキタイプ (AI 翻訳)
Arbogast Nyandwi, Julien Michellod, Arven Syla, Francesco Sasso, Martin Patel, Selin Yılmaz
🤖 gxceed AI 要約
日本語
スイスの住宅ストック全体を表す11,200のアーキタイプを用いて、時間単位の電力需給をシミュレートし、正エネルギー率、自給率、自己消費率などの指標を評価。一戸建ては電化回避時に正の電力収支が可能だが、集合住宅は常に正味消費者となる。電化により自給率は低下し自己消費率は上昇するが、高層集合住宅では自己消費率が改善しない。PED戦略として、カスタマイズされた電化経路と余剰エネルギー充電を提案。
English
This study develops a framework using 11,200 building archetypes to represent the entire Swiss residential stock, simulating hourly electricity production and consumption. Key findings: single-family houses can achieve a positive energy balance without electrification, while multi-family houses remain net consumers. Electrification lowers self-sufficiency but increases self-consumption, except in high-rise buildings. The authors recommend tailored electrification pathways and surplus energy charging for Positive Energy Districts.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
スイスの事例だが、日本でもポジティブ・エネルギー地区（PED）やZEH/ZEBの推進に関連し、自己消費率・自給率の指標は今後の住宅政策に示唆を与える。特に、電化の影響を考慮した建築ストックの評価手法は、日本の住宅・都市計画にも応用可能。
In the global GX context
Positive Energy Districts are a key concept in the EU's energy transition strategy. This study provides a replicable methodology to assess the potential of PEDs using building archetypes, which can inform urban energy planning globally. The findings highlight the importance of tailoring electrification strategies to building types.
👥 読者別の含意
🔬研究者:A simulation framework to evaluate building stock potential for positive energy districts using archetypes; useful for energy system modeling.
🏢実務担当者:Insights on how different building types affect self-consumption and self-sufficiency rates, aiding in the design of district-level energy strategies.
🏛政策担当者:Evidence that electrification pathways should be tailored per building type to optimize energy balance and PV surplus utilization.
📄 Abstract（原文）
The concept of Positive Energy Districts (PEDs) has emerged to facilitate the energy transition and contribute to climate neutrality through energy efficiency and a net-zero energy balance. These districts are meant to integrate a variety of technologies with the goal of producing more energy than they consume, while also actively involving residents in decision-making processes and enhancing affordability. However, a significant barrier to the widespread deployment of PEDs is uncertainty surrounding the potential benefits of this concept, particularly given the diverse range of building stock and technologies involved. Addressing this uncertainty is crucial for unlocking the full potential of PEDs and ensuring their successful implementation in urban environments. We developed a framework that represents the entire residential building stock, along with electricity production and consumption on an hourly basis, by combining 11,200 archetypes to represent key indicators such as positive energy ratio (PER), self-sufficiency rate (SSR), self-consumption rate (SCR), and PV hours of surplus under different electrification scenarios. This framework considers the full exploitation of the PV potential on residential buildings and current energy consumption levels for heating and mobility. Given our findings that most single-family houses (SFHs) can achieve a positive electricity balance when electrification is avoided, while multi-family houses (MFHs) remain net consumers even without electrification. Overall, increased electrification leads to lower SSR and higher SCR. However, in high-rise MFHs, electrification does not improve SCR. Given their relevance as critical building archetypes, we recommend PED strategies that emphasise tailored electrification pathways, surplus energy charging, and targeted policy interventions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19924401first seen 2026-05-17 04:58:44 · last seen 2026-05-30 05:00:42
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