実行可能なポジティブ・エネルギー地区のためのデジタルツイン：スマート学生都市における電力システム最適化と費用便益
Digital twins for viable positive energy districts: power-system optimization and cost-benefit in the smart student city (原題)
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
🤖 gxceed AI 要約
日本語
本論文は、ポジティブ・エネルギー地区（PED）の実現可能性を評価する再現可能な枠組みを提案する。文献計量学とNLP分析をPyPSA互換の線形容量拡張・配電モデルおよび修正費用便益分析と組み合わせ、リガ工科大学のExPEDiteパイロットに適用した。5つのシナリオを比較し、複合移行が経済的に最適、厳格なPED経路は排出削減に最大効果だが高い炭素価格が必要と示す。デジタルツインによる需要シフトは年間費用を約13,900ユーロ削減し、排出量を44.7 tCO2/年削減する。
English
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis. Applied to the ExPEDite pilot at Riga Technical University, five scenarios are compared: the combined transition is economically preferred, while the strict PED pathway yields the largest emissions cuts but requires higher carbon values. Digital-twin-enabled demand shifting reduces annualized cost by ~EUR 13,900/y and emissions by 44.7 tCO2/y.
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
日本では、カーボンニュートラル都市やスマートシティ構想が進む中、PEDのような地区単位のエネルギー最適化は、SSBJ開示や再エネ導入目標と親和性が高い。本論文の再現可能な評価枠組みは、日本の自治体や大学キャンパスでのエネルギー転換計画に応用可能で、投資判断の透明性向上に寄与する。
In the global GX context
Globally, this paper aligns with the push for district-scale decarbonization and transparent cost-benefit analysis in urban energy transitions. It offers a replicable methodology that can inform ISSB-aligned climate disclosures and transition finance decisions by quantifying the economic and emissions impacts of PED strategies, including digital-twin-enabled demand flexibility.
👥 読者別の含意
🔬研究者:Provides a reproducible framework combining NLP, capacity-expansion modeling, and CBA for PEDs, useful for further methodological refinement.
🏢実務担当者:Offers a decision-support scaffold for district energy planning, highlighting the economic and emissions benefits of demand shifting and electrification.
🏛政策担当者:Demonstrates the need for higher carbon values to make strict PED pathways economically viable, informing carbon pricing and urban energy policy.
📄 Abstract（原文）
Positive Energy Districts (PEDs) require integrated energy conversion, storage, flexible demand, and transparent economic appraisal rather than renewable generation alone. Responding to reviewer concerns, this paper develops a clearer and fully reproducible framework that combines bibliometric and natural language processing (NLP) analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis (CBA) layer. The descriptive analysis uses a 1,153-record Scopus retrieval on PEDs and a conservatively screened PED-core subset of 367 records. The empirical model is calibrated to public information on the EU-funded ExPEDite pilot at Riga Technical University’s smart student city on Ķīpsala island, a bounded 17.5 ha campus with 15 buildings, around 119,264 m2 of floor area, 5.0 GWh/y of electricity demand, and 8.0 GWh/y of heat demand. Five scenarios compare baseline gas/combined-heat-and-power operation, photovoltaic self-consumption, heat electrification, a combined cost-oriented transition, and a target-constrained PED pathway with digital-twin-enabled demand shifting. The corrected results show that the combined transition (S3) is the central economically preferred case under the base assumptions, while the stricter PED pathway (S4) delivers the largest emissions reduction but requires higher carbon values and non-energy benefits to dominate. A counterfactual S4 without demand shifting quantifies the operational contribution of the digital-twin logic: demand shifting reduces annualized cost by about EUR 13,900/y, lowers emissions by around 44.7 tCO2/y, and shifts 142.5 MWh/y of load within representative days. The paper contributes a transparent decision-support scaffold for district-scale energy conversion and management, while explicitly acknowledging that measured digital-twin data, network power-flow constraints, and vendor quotations are needed before engineering-grade conclusions can be drawn.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.ecmx.2026.102277first seen 2026-09-07 04:34:32
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