Sustainable Futuristic Energy Scenarios for Low‐Carbon Industrial Heritage: Green Adaptive Reuse of Karaj Iron Foundry

Addressing climate challenges related to carbon emissions, particularly after the Industrial Revolution, is one of our current major global issues. Today, many industrial heritage sites have become abandoned and are known as wastelands. The adaptive reuse of these sites has been recognized as a potential and effective solution to prevent environmental damage while preserving their unique characteristics. Moreover, the conservation of industrial heritage sites requires meticulous planning with a futuristic vision, particularly at the early phases of decision‐making. Therefore, this study aimed to examine futuristic sustainable scenarios for industrial heritage sites to reduce their carbon footprint by 2050, with a specific focus on enhancing the energy performance of an industrial heritage site in Iran, the Karaj Iron Foundry. In this study, future scenario‐making has been employed as a significant methodology to analyze and investigate future possibilities in energy efficiency and the sustainable reuse of the case study. Three scenarios are presented through the future design and discipline of anticipation frameworks (the FD‐DoA method). Each scenario shows alternatives that the site can pursue to mitigate carbon emissions and improve energy efficiency by 2050, which have impacts on the urban scale. The scenarios provide a framework for low‐carbon policy development for such valuable industrial heritage sites.

Authors

Institutions

Publication Details

Journal
Urban Planning
Published
2025-09-15
DOI
https://doi.org/10.17645/up.10600
Citations
2
Primary Topic
Cultural Heritage Management and Preservation
Type
article
Field-Weighted Citation Impact
16.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable Futuristic Energy Scenarios for Low‐Carbon Industrial Heritage: Green Adaptive Reuse of Karaj Iron Foundry

Tatsuyoshi Saijo, Mohammadjavad Mahdavinejad, Farzaneh Gharaati, Martin M. Meyer
2 citations
Urban Planning
Cultural Heritage Management and Preservation
16.55
article

Sustainable Futuristic Energy Scenarios for Low‐Carbon Industrial Heritage: Green Adaptive Reuse of Karaj Iron Foundry

Tatsuyoshi Saijo, Mohammadjavad Mahdavinejad, Farzaneh Gharaati, Martin M. Meyer
article en
2 citations

Abstract

Addressing climate challenges related to carbon emissions, particularly after the Industrial Revolution, is one of our current major global issues. Today, many industrial heritage sites have become abandoned and are known as wastelands. The adaptive reuse of these sites has been recognized as a potential and effective solution to prevent environmental damage while preserving their unique characteristics. Moreover, the conservation of industrial heritage sites requires meticulous planning with a futuristic vision, particularly at the early phases of decision‐making. Therefore, this study aimed to examine futuristic sustainable scenarios for industrial heritage sites to reduce their carbon footprint by 2050, with a specific focus on enhancing the energy performance of an industrial heritage site in Iran, the Karaj Iron Foundry. In this study, future scenario‐making has been employed as a significant methodology to analyze and investigate future possibilities in energy efficiency and the sustainable reuse of the case study. Three scenarios are presented through the future design and discipline of anticipation frameworks (the FD‐DoA method). Each scenario shows alternatives that the site can pursue to mitigate carbon emissions and improve energy efficiency by 2050, which have impacts on the urban scale. The scenarios provide a framework for low‐carbon policy development for such valuable industrial heritage sites.

Urban PlanningVol. 10
Tarbiat Modares University (IR), Tokyo Future University (JP), University of Nizwa (OM), Technische Universität Berlin (DE)
Technische Universität Berlin
Openalex Percentile: Top 1%
Cultural Heritage Management and Preservation
16.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sustainable Futuristic Energy Scenarios for Low‐Carbon Industrial Heritage: Green Adaptive Reuse of Karaj Iron Foundry — Tatsuyoshi Saijo, Mohammadjavad Mahdavinejad, et al. · Urban Planning (2025) | TGRS Research Map | TGRS