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Comparing the model traditions of energy economics and energy technology: the case of Norwegian energy-efficiency policies

エネルギー経済学とエネルギー技術のモデルの伝統の比較:ノルウェーのエネルギー効率政策の事例 (AI 翻訳)

Brita Bye, Kari Espegren, Taran Fæhn, Eva Rosenberg, Orvika Rosnes

Figshare📚 査読済 / ジャーナル2026-07-06#省エネOrigin: EU対象セクター: residential
DOI: 10.6084/m9.figshare.32915670
原典: https://doi.org/10.6084/m9.figshare.32915670

🤖 gxceed AI 要約

日本語

本論文は、エネルギー効率政策の分析に用いられるボトムアップ型エネルギーシステムモデルとトップダウン型一般均衡モデルを比較。ノルウェー住宅部門の省エネ目標を事例に、両モデルの結果の違いを分析し、補完的役割を強調している。

English

This paper compares bottom-up energy-system models and top-down general equilibrium models used for energy efficiency policy analysis. Using a Norwegian residential sector energy-saving target case, it identifies diverging results due to differences in scope, data, and assumptions, arguing the two model types are complementary.

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

日本でも省エネ政策や住宅部門のGX推進が課題であり、モデル選択の示唆は政策立案に有用。ただし、ノルウェー固有の事情(非購入エネルギーの利用など)には注意が必要。

In the global GX context

This paper provides methodological insights for energy policy modeling globally, relevant to countries designing energy-efficiency policies. The comparison of bottom-up and top-down models is valuable for policymakers considering economy-wide vs. sector-specific impacts.

👥 読者別の含意

🔬研究者:Highlights the importance of model choice in energy policy analysis and the complementary nature of bottom-up and top-down approaches.

🏢実務担当者:Offers guidance on selecting appropriate modeling tools for energy-efficiency policy evaluation, relevant for corporate energy management teams.

🏛政策担当者:Emphasizes the need to use multiple models to capture a broad set of policy impacts, especially for residential energy efficiency.

📄 Abstract(原文)

When considering the introduction of energy and climate policies, numerical model analyses are useful tools. Bottom-up energy-system models and top-down general equilibrium models originate from different research communities: energy technologists and energy economists, respectively. We align a version of each type, introduce similar energy policies and compare the outcomes. The case is an energy-saving target for the Norwegian residential sector. We identify some important differences in the scope, data, and assumptions in the two model types that lead to noticeably diverging results. Some general conclusions can be drawn from our case study. The perspective and purpose of the study are crucial when choosing model(s). If the outcome for the consumers is in focus, bottom-up energy-system models give more accurate results about technology choices. They also include one type of response to energy policy that is not present in traditional top-down models: change in the use of non-purchased energy, for instance self-collected wood or ambient energy for heat pumps. On the other hand, top-down models feature a wider range of substitution possibilities in demand, by allowing for changes in demand for energy as well as for other goods, not only in the household sector but in all sectors of the economy. It follows that top-down models are more appropriate when the focus is on economy-wide repercussions that can potentially counteract the impacts on the residential sector. As the two model types have complementary contributions to energy policy planning, they should, ideally, be used together to capture a broad set of policy impacts. We claim that numerical models are well fit for assessing policy designs and particularly useful for analyses of future impacts. We argue that model comparison is often preferred to technically challenging and costly model linking procedures. We conclude that the technologists’ bottom-up and economists’ top-down approaches complement each other. What to choose will depend on the purposes and foci of the analysis. Apparently small deviations in modelling may have a large impact on results.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。